[{"ddc":["580"],"isi":1,"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode","image":"/images/cc_by_nc_nd.png","name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","short":"CC BY-NC-ND (4.0)"},"title":"Distinct functions of TIR1 and AFB1 receptors in auxin signalling.","external_id":{"isi":["001044410900001"],"pmid":["37393433"]},"ec_funded":1,"year":"2023","doi":"10.1016/j.molp.2023.06.007","acknowledged_ssus":[{"_id":"LifeSc"},{"_id":"Bio"}],"project":[{"grant_number":"742985","name":"Tracing Evolution of Auxin Transport and Polarity in Plants","_id":"261099A6-B435-11E9-9278-68D0E5697425","call_identifier":"H2020"}],"oa_version":"Published Version","quality_controlled":"1","acknowledgement":"We thank all the authors for sharing the published materials. This research was supported by the Lab Support Facility and the Imaging and Optics Facility of ISTA. We thank Lukáš Fiedler (ISTA) for critical reading of the manuscript. This project was funded by the European Research Council Advanced Grant (ETAP-742985).","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publication_identifier":{"issn":["1752-9867"],"eissn":["1674-2052"]},"_id":"13212","pmid":1,"article_processing_charge":"Yes (via OA deal)","date_updated":"2024-01-29T10:38:57Z","volume":16,"oa":1,"author":[{"last_name":"Chen","full_name":"Chen, Huihuang","first_name":"Huihuang","id":"83c96512-15b2-11ec-abd3-b7eede36184f"},{"full_name":"Li, Lanxin","last_name":"Li","orcid":"0000-0002-5607-272X","first_name":"Lanxin","id":"367EF8FA-F248-11E8-B48F-1D18A9856A87"},{"id":"5c243f41-03f3-11ec-841c-96faf48a7ef9","first_name":"Minxia","full_name":"Zou, Minxia","last_name":"Zou"},{"id":"44B04502-A9ED-11E9-B6FC-583AE6697425","first_name":"Linlin","orcid":"0000-0001-5187-8401","last_name":"Qi","full_name":"Qi, Linlin"},{"orcid":"0000-0002-8302-7596","full_name":"Friml, Jiří","last_name":"Friml","first_name":"Jiří","id":"4159519E-F248-11E8-B48F-1D18A9856A87"}],"abstract":[{"lang":"eng","text":"Auxin is the major plant hormone regulating growth and development (Friml, 2022). Forward genetic approaches in the model plant Arabidopsis thaliana have identified major components of auxin signalling and established the canonical mechanism mediating transcriptional and thus developmental reprogramming. In this textbook view, TRANSPORT INHIBITOR RESPONSE 1 (TIR1)/AUXIN-SIGNALING F-BOX (AFBs) are auxin receptors, which act as F-box subunits determining the substrate specificity of the Skp1-Cullin1-F box protein (SCF) type E3 ubiquitin ligase complex. Auxin acts as a “molecular glue” increasing the affinity between TIR1/AFBs and the Aux/IAA repressors. Subsequently, Aux/IAAs are ubiquitinated and degraded, thus releasing auxin transcription factors from their repression making them free to mediate transcription of auxin response genes (Yu et al., 2022). Nonetheless, accumulating evidence suggests existence of rapid, non-transcriptional responses downstream of TIR1/AFBs such as auxin-induced cytosolic calcium (Ca2+) transients, plasma membrane depolarization and apoplast alkalinisation, all converging on the process of root growth inhibition and root gravitropism (Li et al., 2022). Particularly, these rapid responses are mostly contributed by predominantly cytosolic AFB1, while the long-term growth responses are mediated by mainly nuclear TIR1 and AFB2-AFB5 (Li et al., 2021; Prigge et al., 2020; Serre et al., 2021). How AFB1 conducts auxin-triggered rapid responses and how it is different from TIR1 and AFB2-AFB5 remains elusive. Here, we compare the roles of TIR1 and AFB1 in transcriptional and rapid responses by modulating their subcellular localization in Arabidopsis and by testing their ability to mediate transcriptional responses when part of the minimal auxin circuit reconstituted in yeast."}],"citation":{"chicago":"Chen, Huihuang, Lanxin Li, Minxia Zou, Linlin Qi, and Jiří Friml. “Distinct Functions of TIR1 and AFB1 Receptors in Auxin Signalling.” <i>Molecular Plant</i>. Elsevier , 2023. <a href=\"https://doi.org/10.1016/j.molp.2023.06.007\">https://doi.org/10.1016/j.molp.2023.06.007</a>.","apa":"Chen, H., Li, L., Zou, M., Qi, L., &#38; Friml, J. (2023). Distinct functions of TIR1 and AFB1 receptors in auxin signalling. <i>Molecular Plant</i>. Elsevier . <a href=\"https://doi.org/10.1016/j.molp.2023.06.007\">https://doi.org/10.1016/j.molp.2023.06.007</a>","ieee":"H. Chen, L. Li, M. Zou, L. Qi, and J. Friml, “Distinct functions of TIR1 and AFB1 receptors in auxin signalling.,” <i>Molecular Plant</i>, vol. 16, no. 7. Elsevier , pp. 1117–1119, 2023.","short":"H. Chen, L. Li, M. Zou, L. Qi, J. Friml, Molecular Plant 16 (2023) 1117–1119.","ista":"Chen H, Li L, Zou M, Qi L, Friml J. 2023. Distinct functions of TIR1 and AFB1 receptors in auxin signalling. Molecular Plant. 16(7), 1117–1119.","ama":"Chen H, Li L, Zou M, Qi L, Friml J. Distinct functions of TIR1 and AFB1 receptors in auxin signalling. <i>Molecular Plant</i>. 2023;16(7):1117-1119. doi:<a href=\"https://doi.org/10.1016/j.molp.2023.06.007\">10.1016/j.molp.2023.06.007</a>","mla":"Chen, Huihuang, et al. “Distinct Functions of TIR1 and AFB1 Receptors in Auxin Signalling.” <i>Molecular Plant</i>, vol. 16, no. 7, Elsevier , 2023, pp. 1117–19, doi:<a href=\"https://doi.org/10.1016/j.molp.2023.06.007\">10.1016/j.molp.2023.06.007</a>."},"publication_status":"published","file":[{"success":1,"content_type":"application/pdf","relation":"main_file","file_id":"14894","creator":"dernst","file_name":"2023_MolecularPlant_Chen.pdf","file_size":1000871,"date_created":"2024-01-29T10:37:05Z","checksum":"6012b7e4a2f680ee6c1f84001e2b945f","date_updated":"2024-01-29T10:37:05Z","access_level":"open_access"}],"date_created":"2023-07-12T07:32:46Z","department":[{"_id":"JiFr"}],"has_accepted_license":"1","license":"https://creativecommons.org/licenses/by-nc-nd/4.0/","language":[{"iso":"eng"}],"scopus_import":"1","publisher":"Elsevier ","article_type":"letter_note","date_published":"2023-07-01T00:00:00Z","month":"07","page":"1117-1119","file_date_updated":"2024-01-29T10:37:05Z","publication":"Molecular Plant","issue":"7","status":"public","intvolume":"        16","type":"journal_article","day":"01"},{"external_id":{"pmid":["37429995"],"isi":["001025621500001"]},"title":"Dense 4D nanoscale reconstruction of living brain tissue","ec_funded":1,"doi":"10.1038/s41592-023-01936-6","year":"2023","acknowledged_ssus":[{"_id":"ScienComp"},{"_id":"Bio"},{"_id":"PreCl"},{"_id":"E-Lib"},{"_id":"LifeSc"},{"_id":"M-Shop"}],"related_material":{"link":[{"url":"https://github.com/danzllab/LIONESS","relation":"software"}],"record":[{"id":"12817","relation":"research_data","status":"public"},{"id":"14770","relation":"shorter_version","status":"public"}]},"main_file_link":[{"open_access":"1","url":"https://doi.org/10.1038/s41592-023-01936-6"}],"isi":1,"author":[{"orcid":"0000-0002-2340-7431","full_name":"Velicky, Philipp","last_name":"Velicky","first_name":"Philipp","id":"39BDC62C-F248-11E8-B48F-1D18A9856A87"},{"id":"3FB91342-F248-11E8-B48F-1D18A9856A87","first_name":"Eder","last_name":"Miguel Villalba","full_name":"Miguel Villalba, Eder","orcid":"0000-0001-5665-0430"},{"id":"443DB6DE-F248-11E8-B48F-1D18A9856A87","first_name":"Julia M","full_name":"Michalska, Julia M","last_name":"Michalska","orcid":"0000-0003-3862-1235"},{"id":"46E28B80-F248-11E8-B48F-1D18A9856A87","first_name":"Julia","last_name":"Lyudchik","full_name":"Lyudchik, Julia"},{"last_name":"Wei","full_name":"Wei, Donglai","first_name":"Donglai"},{"first_name":"Zudi","last_name":"Lin","full_name":"Lin, Zudi"},{"first_name":"Jake","orcid":"0000-0002-8698-3823","full_name":"Watson, Jake","last_name":"Watson","id":"63836096-4690-11EA-BD4E-32803DDC885E"},{"full_name":"Troidl, Jakob","last_name":"Troidl","first_name":"Jakob"},{"full_name":"Beyer, Johanna","last_name":"Beyer","first_name":"Johanna"},{"id":"43DF3136-F248-11E8-B48F-1D18A9856A87","first_name":"Yoav","full_name":"Ben Simon, Yoav","last_name":"Ben Simon"},{"first_name":"Christoph M","full_name":"Sommer, Christoph M","last_name":"Sommer","orcid":"0000-0003-1216-9105","id":"4DF26D8C-F248-11E8-B48F-1D18A9856A87"},{"id":"425C1CE8-F248-11E8-B48F-1D18A9856A87","first_name":"Wiebke","full_name":"Jahr, Wiebke","last_name":"Jahr"},{"full_name":"Cenameri, Alban","last_name":"Cenameri","first_name":"Alban","id":"9ac8f577-2357-11eb-997a-e566c5550886"},{"first_name":"Johannes","full_name":"Broichhagen, Johannes","last_name":"Broichhagen"},{"first_name":"Seth G.N.","full_name":"Grant, Seth G.N.","last_name":"Grant"},{"full_name":"Jonas, Peter M","last_name":"Jonas","orcid":"0000-0001-5001-4804","first_name":"Peter M","id":"353C1B58-F248-11E8-B48F-1D18A9856A87"},{"id":"3E57A680-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-7673-7178","full_name":"Novarino, Gaia","last_name":"Novarino","first_name":"Gaia"},{"first_name":"Hanspeter","last_name":"Pfister","full_name":"Pfister, Hanspeter"},{"id":"49876194-F248-11E8-B48F-1D18A9856A87","first_name":"Bernd","last_name":"Bickel","full_name":"Bickel, Bernd","orcid":"0000-0001-6511-9385"},{"first_name":"Johann G","orcid":"0000-0001-8559-3973","last_name":"Danzl","full_name":"Danzl, Johann G","id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87"}],"abstract":[{"text":"Three-dimensional (3D) reconstruction of living brain tissue down to an individual synapse level would create opportunities for decoding the dynamics and structure–function relationships of the brain’s complex and dense information processing network; however, this has been hindered by insufficient 3D resolution, inadequate signal-to-noise ratio and prohibitive light burden in optical imaging, whereas electron microscopy is inherently static. Here we solved these challenges by developing an integrated optical/machine-learning technology, LIONESS (live information-optimized nanoscopy enabling saturated segmentation). This leverages optical modifications to stimulated emission depletion microscopy in comprehensively, extracellularly labeled tissue and previous information on sample structure via machine learning to simultaneously achieve isotropic super-resolution, high signal-to-noise ratio and compatibility with living tissue. This allows dense deep-learning-based instance segmentation and 3D reconstruction at a synapse level, incorporating molecular, activity and morphodynamic information. LIONESS opens up avenues for studying the dynamic functional (nano-)architecture of living brain tissue.","lang":"eng"}],"citation":{"short":"P. Velicky, E. Miguel Villalba, J.M. Michalska, J. Lyudchik, D. Wei, Z. Lin, J. Watson, J. Troidl, J. Beyer, Y. Ben Simon, C.M. Sommer, W. Jahr, A. Cenameri, J. Broichhagen, S.G.N. Grant, P.M. Jonas, G. Novarino, H. Pfister, B. Bickel, J.G. Danzl, Nature Methods 20 (2023) 1256–1265.","ista":"Velicky P, Miguel Villalba E, Michalska JM, Lyudchik J, Wei D, Lin Z, Watson J, Troidl J, Beyer J, Ben Simon Y, Sommer CM, Jahr W, Cenameri A, Broichhagen J, Grant SGN, Jonas PM, Novarino G, Pfister H, Bickel B, Danzl JG. 2023. Dense 4D nanoscale reconstruction of living brain tissue. Nature Methods. 20, 1256–1265.","ama":"Velicky P, Miguel Villalba E, Michalska JM, et al. Dense 4D nanoscale reconstruction of living brain tissue. <i>Nature Methods</i>. 2023;20:1256-1265. doi:<a href=\"https://doi.org/10.1038/s41592-023-01936-6\">10.1038/s41592-023-01936-6</a>","mla":"Velicky, Philipp, et al. “Dense 4D Nanoscale Reconstruction of Living Brain Tissue.” <i>Nature Methods</i>, vol. 20, Springer Nature, 2023, pp. 1256–65, doi:<a href=\"https://doi.org/10.1038/s41592-023-01936-6\">10.1038/s41592-023-01936-6</a>.","chicago":"Velicky, Philipp, Eder Miguel Villalba, Julia M Michalska, Julia Lyudchik, Donglai Wei, Zudi Lin, Jake Watson, et al. “Dense 4D Nanoscale Reconstruction of Living Brain Tissue.” <i>Nature Methods</i>. Springer Nature, 2023. <a href=\"https://doi.org/10.1038/s41592-023-01936-6\">https://doi.org/10.1038/s41592-023-01936-6</a>.","apa":"Velicky, P., Miguel Villalba, E., Michalska, J. M., Lyudchik, J., Wei, D., Lin, Z., … Danzl, J. G. (2023). Dense 4D nanoscale reconstruction of living brain tissue. <i>Nature Methods</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41592-023-01936-6\">https://doi.org/10.1038/s41592-023-01936-6</a>","ieee":"P. Velicky <i>et al.</i>, “Dense 4D nanoscale reconstruction of living brain tissue,” <i>Nature Methods</i>, vol. 20. Springer Nature, pp. 1256–1265, 2023."},"publication_status":"published","quality_controlled":"1","project":[{"name":"Optical control of synaptic function via adhesion molecules","_id":"265CB4D0-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","grant_number":"I03600"},{"grant_number":"W1232-B24","call_identifier":"FWF","name":"Molecular Drug Targets","_id":"2548AE96-B435-11E9-9278-68D0E5697425"},{"call_identifier":"FWF","name":"The Wittgenstein Prize","_id":"25C5A090-B435-11E9-9278-68D0E5697425","grant_number":"Z00312"},{"_id":"23889792-32DE-11EA-91FC-C7463DDC885E","name":"High content imaging to decode human immune cell interactions in health and allergic disease"},{"grant_number":"665385","call_identifier":"H2020","_id":"2564DBCA-B435-11E9-9278-68D0E5697425","name":"International IST Doctoral Program"},{"name":"MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and Modeling","_id":"24F9549A-B435-11E9-9278-68D0E5697425","call_identifier":"H2020","grant_number":"715767"},{"call_identifier":"H2020","_id":"25444568-B435-11E9-9278-68D0E5697425","name":"Probing the Reversibility of Autism Spectrum Disorders by Employing in vivo and in vitro Models","grant_number":"715508"},{"grant_number":"692692","_id":"25B7EB9E-B435-11E9-9278-68D0E5697425","name":"Biophysics and circuit function of a giant cortical glumatergic synapse","call_identifier":"H2020"},{"grant_number":"101026635","_id":"fc2be41b-9c52-11eb-aca3-faa90aa144e9","name":"Synaptic computations of the hippocampal CA3 circuitry","call_identifier":"H2020"},{"_id":"2668BFA0-B435-11E9-9278-68D0E5697425","name":"High-speed 3D-nanoscopy to study the role of adhesion during 3D cell migration","grant_number":"LT00057"}],"oa_version":"Published Version","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","acknowledgement":"We thank J. Vorlaufer, N. Agudelo and A. Wartak for microscope maintenance and troubleshooting, C. Kreuzinger and A. Freeman for technical assistance, M. Šuplata for hardware control support and M. Cunha dos Santos for initial exploration of software. We\r\nthank P. Henderson for advice on deep-learning training and M. Sixt, S. Boyd and T. Weiss for discussions and critical reading of the manuscript. L. Lavis (Janelia Research Campus) generously provided the JF585-HaloTag ligand. We acknowledge expert support by IST\r\nAustria’s scientific computing, imaging and optics, preclinical, library and laboratory support facilities and by the Miba machine shop. We gratefully acknowledge funding by the following sources: Austrian Science Fund (F.W.F.) grant no. I3600-B27 (J.G.D.), grant no. DK W1232\r\n(J.G.D. and J.M.M.) and grant no. Z 312-B27, Wittgenstein award (P.J.); the Gesellschaft für Forschungsförderung NÖ grant no. LSC18-022 (J.G.D.); an ISTA Interdisciplinary project grant (J.G.D. and B.B.); the European Union’s Horizon 2020 research and innovation programme,\r\nMarie-Skłodowska Curie grant 665385 (J.M.M. and J.L.); the European Union’s Horizon 2020 research and innovation programme, European Research Council grant no. 715767, MATERIALIZABLE (B.B.); grant no. 715508, REVERSEAUTISM (G.N.); grant no. 695568, SYNNOVATE (S.G.N.G.); and grant no. 692692, GIANTSYN (P.J.); the Simons\r\nFoundation Autism Research Initiative grant no. 529085 (S.G.N.G.); the Wellcome Trust Technology Development grant no. 202932 (S.G.N.G.); the Marie Skłodowska-Curie Actions Individual Fellowship no. 101026635 under the EU Horizon 2020 program (J.F.W.);\r\nthe Human Frontier Science Program postdoctoral fellowship LT000557/2018 (W.J.); and the National Science Foundation grant no. IIS-1835231 (H.P.) and NCS-FO-2124179 (H.P.).","publication_identifier":{"issn":["1548-7091"],"eissn":["1548-7105"]},"pmid":1,"_id":"13267","article_processing_charge":"Yes","date_updated":"2024-01-10T08:37:48Z","volume":20,"oa":1,"language":[{"iso":"eng"}],"scopus_import":"1","publisher":"Springer Nature","date_published":"2023-08-01T00:00:00Z","article_type":"original","month":"08","date_created":"2023-07-23T22:01:13Z","department":[{"_id":"PeJo"},{"_id":"GaNo"},{"_id":"BeBi"},{"_id":"JoDa"},{"_id":"Bio"}],"status":"public","intvolume":"        20","type":"journal_article","day":"01","page":"1256-1265","publication":"Nature Methods"},{"has_accepted_license":"1","license":"https://creativecommons.org/licenses/by/4.0/","department":[{"_id":"JoDa"},{"_id":"EdHa"},{"_id":"MaLo"},{"_id":"GradSch"}],"file":[{"access_level":"open_access","date_updated":"2024-01-30T14:28:30Z","file_size":22471673,"file_name":"2023_NaturePhysics_Dunajova.pdf","checksum":"bc7673ca07d37309013a86166577b2f7","date_created":"2024-01-30T14:28:30Z","relation":"main_file","content_type":"application/pdf","file_id":"14916","creator":"dernst","success":1}],"date_created":"2023-07-27T14:44:45Z","month":"12","article_type":"original","date_published":"2023-12-01T00:00:00Z","scopus_import":"1","publisher":"Springer Nature","language":[{"iso":"eng"}],"publication":"Nature Physics","file_date_updated":"2024-01-30T14:28:30Z","page":"1916-1926","day":"01","type":"journal_article","intvolume":"        19","status":"public","tmp":{"image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"related_material":{"record":[{"status":"public","id":"13116","relation":"research_data"}]},"ddc":["530"],"year":"2023","doi":"10.1038/s41567-023-02218-w","acknowledged_ssus":[{"_id":"Bio"},{"_id":"LifeSc"}],"ec_funded":1,"title":"Chiral and nematic phases of flexible active filaments","external_id":{"pmid":["38075437"]},"article_processing_charge":"Yes (in subscription journal)","volume":19,"oa":1,"date_updated":"2024-02-21T12:19:08Z","publication_identifier":{"issn":["1745-2473"],"eissn":["1745-2481"]},"pmid":1,"_id":"13314","project":[{"call_identifier":"H2020","_id":"2595697A-B435-11E9-9278-68D0E5697425","name":"Self-Organization of the Bacterial Cell","grant_number":"679239"},{"grant_number":"P34607","name":"Understanding bacterial cell division by in vitro\r\nreconstitution","_id":"fc38323b-9c52-11eb-aca3-ff8afb4a011d"},{"grant_number":"26360","_id":"34d75525-11ca-11ed-8bc3-89b6307fee9d","name":"Motile active matter models of migrating cells and chiral filaments"}],"oa_version":"Published Version","quality_controlled":"1","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","acknowledgement":"This work was supported by the European Research Council through grant ERC 2015-StG-679239 and by the Austrian Science Fund (FWF) StandAlone P34607 to M.L., B. P.M. was also supported by the Kanazawa University WPI- NanoLSI Bio-SPM collaborative research program. Z.D. has received funding from Doctoral Programme of the Austrian Academy of Sciences (OeAW): Grant agreement 26360. We thank Jan Brugues (MPI CBG, Dresden, Germany), Andela Saric (ISTA, Klosterneuburg, Austria), Daniel Pearce (Uni Geneva, Switzerland) for valuable scientific input and comments on the manuscript. We are also thankful for the support by the Scientific Service Units (SSU) of IST Austria through resources provided by the Imaging and Optics Facility (IOF) and the Lab Support Facility (LSF).","citation":{"ama":"Dunajova Z, Prats Mateu B, Radler P, et al. Chiral and nematic phases of flexible active filaments. <i>Nature Physics</i>. 2023;19:1916-1926. doi:<a href=\"https://doi.org/10.1038/s41567-023-02218-w\">10.1038/s41567-023-02218-w</a>","mla":"Dunajova, Zuzana, et al. “Chiral and Nematic Phases of Flexible Active Filaments.” <i>Nature Physics</i>, vol. 19, Springer Nature, 2023, pp. 1916–26, doi:<a href=\"https://doi.org/10.1038/s41567-023-02218-w\">10.1038/s41567-023-02218-w</a>.","short":"Z. Dunajova, B. Prats Mateu, P. Radler, K. Lim, D. Brandis, P. Velicky, J.G. Danzl, R.W. Wong, J. Elgeti, E.B. Hannezo, M. Loose, Nature Physics 19 (2023) 1916–1926.","ista":"Dunajova Z, Prats Mateu B, Radler P, Lim K, Brandis D, Velicky P, Danzl JG, Wong RW, Elgeti J, Hannezo EB, Loose M. 2023. Chiral and nematic phases of flexible active filaments. Nature Physics. 19, 1916–1926.","ieee":"Z. Dunajova <i>et al.</i>, “Chiral and nematic phases of flexible active filaments,” <i>Nature Physics</i>, vol. 19. Springer Nature, pp. 1916–1926, 2023.","apa":"Dunajova, Z., Prats Mateu, B., Radler, P., Lim, K., Brandis, D., Velicky, P., … Loose, M. (2023). Chiral and nematic phases of flexible active filaments. <i>Nature Physics</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41567-023-02218-w\">https://doi.org/10.1038/s41567-023-02218-w</a>","chicago":"Dunajova, Zuzana, Batirtze Prats Mateu, Philipp Radler, Keesiang Lim, Dörte Brandis, Philipp Velicky, Johann G Danzl, et al. “Chiral and Nematic Phases of Flexible Active Filaments.” <i>Nature Physics</i>. Springer Nature, 2023. <a href=\"https://doi.org/10.1038/s41567-023-02218-w\">https://doi.org/10.1038/s41567-023-02218-w</a>."},"publication_status":"published","abstract":[{"lang":"eng","text":"The emergence of large-scale order in self-organized systems relies on local interactions between individual components. During bacterial cell division, FtsZ—a prokaryotic homologue of the eukaryotic protein tubulin—polymerizes into treadmilling filaments that further organize into a cytoskeletal ring. In vitro, FtsZ filaments can form dynamic chiral assemblies. However, how the active and passive properties of individual filaments relate to these large-scale self-organized structures remains poorly understood. Here we connect single-filament properties with the mesoscopic scale by combining minimal active matter simulations and biochemical reconstitution experiments. We show that the density and flexibility of active chiral filaments define their global order. At intermediate densities, curved, flexible filaments organize into chiral rings and polar bands. An effectively nematic organization dominates for high densities and for straight, mutant filaments with increased rigidity. Our predicted phase diagram quantitatively captures these features, demonstrating how the flexibility, density and chirality of the active filaments affect their collective behaviour. Our findings shed light on the fundamental properties of active chiral matter and explain how treadmilling FtsZ filaments organize during bacterial cell division."}],"author":[{"id":"4B39F286-F248-11E8-B48F-1D18A9856A87","last_name":"Dunajova","full_name":"Dunajova, Zuzana","first_name":"Zuzana"},{"id":"299FE892-F248-11E8-B48F-1D18A9856A87","last_name":"Prats Mateu","full_name":"Prats Mateu, Batirtze","first_name":"Batirtze"},{"orcid":"0000-0001-9198-2182 ","full_name":"Radler, Philipp","last_name":"Radler","first_name":"Philipp","id":"40136C2A-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Lim, Keesiang","last_name":"Lim","first_name":"Keesiang"},{"first_name":"Dörte","full_name":"Brandis, Dörte","last_name":"Brandis","id":"21d64d35-f128-11eb-9611-b8bcca7a12fd"},{"full_name":"Velicky, Philipp","last_name":"Velicky","orcid":"0000-0002-2340-7431","first_name":"Philipp","id":"39BDC62C-F248-11E8-B48F-1D18A9856A87"},{"orcid":"0000-0001-8559-3973","last_name":"Danzl","full_name":"Danzl, Johann G","first_name":"Johann G","id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Wong, Richard W.","last_name":"Wong","first_name":"Richard W."},{"last_name":"Elgeti","full_name":"Elgeti, Jens","first_name":"Jens"},{"id":"3A9DB764-F248-11E8-B48F-1D18A9856A87","first_name":"Edouard B","full_name":"Hannezo, Edouard B","last_name":"Hannezo","orcid":"0000-0001-6005-1561"},{"last_name":"Loose","full_name":"Loose, Martin","orcid":"0000-0001-7309-9724","first_name":"Martin","id":"462D4284-F248-11E8-B48F-1D18A9856A87"}]},{"abstract":[{"text":"Epithelial barrier function is commonly analyzed using transepithelial electrical resistance, which measures ion flux across a monolayer, or by adding traceable macromolecules and monitoring their passage across the monolayer. Although these methods measure changes in global barrier function, they lack the sensitivity needed to detect local or transient barrier breaches, and they do not reveal the location of barrier leaks. Therefore, we previously developed a method that we named the zinc-based ultrasensitive microscopic barrier assay (ZnUMBA), which overcomes these limitations, allowing for detection of local tight junction leaks with high spatiotemporal resolution. Here, we present expanded applications for ZnUMBA. ZnUMBA can be used in Xenopus embryos to measure the dynamics of barrier restoration and actin accumulation following laser injury. ZnUMBA can also be effectively utilized in developing zebrafish embryos as well as cultured monolayers of Madin–Darby canine kidney (MDCK) II epithelial cells. ZnUMBA is a powerful and flexible method that, with minimal optimization, can be applied to multiple systems to measure dynamic changes in barrier function with spatiotemporal precision.","lang":"eng"}],"author":[{"first_name":"Tomohito","last_name":"Higashi","full_name":"Higashi, Tomohito"},{"first_name":"Rachel E.","last_name":"Stephenson","full_name":"Stephenson, Rachel E."},{"id":"3436488C-F248-11E8-B48F-1D18A9856A87","first_name":"Cornelia","full_name":"Schwayer, Cornelia","last_name":"Schwayer","orcid":"0000-0001-5130-2226"},{"id":"44C6F6A6-F248-11E8-B48F-1D18A9856A87","first_name":"Karla","full_name":"Huljev, Karla","last_name":"Huljev"},{"full_name":"Higashi, Atsuko Y.","last_name":"Higashi","first_name":"Atsuko Y."},{"id":"39427864-F248-11E8-B48F-1D18A9856A87","first_name":"Carl-Philipp J","last_name":"Heisenberg","full_name":"Heisenberg, Carl-Philipp J","orcid":"0000-0002-0912-4566"},{"first_name":"Hideki","full_name":"Chiba, Hideki","last_name":"Chiba"},{"last_name":"Miller","full_name":"Miller, Ann L.","first_name":"Ann L."}],"citation":{"chicago":"Higashi, Tomohito, Rachel E. Stephenson, Cornelia Schwayer, Karla Huljev, Atsuko Y. Higashi, Carl-Philipp J Heisenberg, Hideki Chiba, and Ann L. Miller. “ZnUMBA - a Live Imaging Method to Detect Local Barrier Breaches.” <i>Journal of Cell Science</i>. The Company of Biologists, 2023. <a href=\"https://doi.org/10.1242/jcs.260668\">https://doi.org/10.1242/jcs.260668</a>.","ieee":"T. Higashi <i>et al.</i>, “ZnUMBA - a live imaging method to detect local barrier breaches,” <i>Journal of Cell Science</i>, vol. 136, no. 15. The Company of Biologists, 2023.","apa":"Higashi, T., Stephenson, R. E., Schwayer, C., Huljev, K., Higashi, A. Y., Heisenberg, C.-P. J., … Miller, A. L. (2023). ZnUMBA - a live imaging method to detect local barrier breaches. <i>Journal of Cell Science</i>. The Company of Biologists. <a href=\"https://doi.org/10.1242/jcs.260668\">https://doi.org/10.1242/jcs.260668</a>","ista":"Higashi T, Stephenson RE, Schwayer C, Huljev K, Higashi AY, Heisenberg C-PJ, Chiba H, Miller AL. 2023. ZnUMBA - a live imaging method to detect local barrier breaches. Journal of Cell Science. 136(15), jcs260668.","short":"T. Higashi, R.E. Stephenson, C. Schwayer, K. Huljev, A.Y. Higashi, C.-P.J. Heisenberg, H. Chiba, A.L. Miller, Journal of Cell Science 136 (2023).","ama":"Higashi T, Stephenson RE, Schwayer C, et al. ZnUMBA - a live imaging method to detect local barrier breaches. <i>Journal of Cell Science</i>. 2023;136(15). doi:<a href=\"https://doi.org/10.1242/jcs.260668\">10.1242/jcs.260668</a>","mla":"Higashi, Tomohito, et al. “ZnUMBA - a Live Imaging Method to Detect Local Barrier Breaches.” <i>Journal of Cell Science</i>, vol. 136, no. 15, jcs260668, The Company of Biologists, 2023, doi:<a href=\"https://doi.org/10.1242/jcs.260668\">10.1242/jcs.260668</a>."},"publication_status":"published","publication_identifier":{"issn":["0021-9533"],"eissn":["1477-9137"]},"_id":"14082","project":[{"grant_number":"742573","name":"Interaction and feedback between cell mechanics and fate specification in vertebrate gastrulation","_id":"260F1432-B435-11E9-9278-68D0E5697425","call_identifier":"H2020"}],"quality_controlled":"1","oa_version":"None","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","acknowledgement":"The authors thank their respective lab members for feedback and helpful discussions. We thank the bioimaging and zebrafish facilities of IST Austria for their support.\r\nThis work was supported by the National Institutes of Health [R01GM112794 to A.L.M.], by Grants-in-Aid for Scientific Research from the Japan Society for the Promotion of Science [21K06156 to T.H.], by the Grant Program for Biomedical Engineering Research from the Nakatani Foundation for Advancement of Measuring Technologies in Biomedical Engineering [to T.H.] and by funding from the European Research Council [advanced grant 742573 to C.-P.H.]. ","article_processing_charge":"No","volume":136,"date_updated":"2023-12-13T12:11:18Z","title":"ZnUMBA - a live imaging method to detect local barrier breaches","external_id":{"isi":["001070149000001"]},"year":"2023","doi":"10.1242/jcs.260668","acknowledged_ssus":[{"_id":"PreCl"},{"_id":"Bio"}],"ec_funded":1,"ddc":["570"],"isi":1,"article_number":"jcs260668","intvolume":"       136","status":"public","day":"01","type":"journal_article","publication":"Journal of Cell Science","issue":"15","file_date_updated":"2023-08-21T07:37:54Z","scopus_import":"1","publisher":"The Company of Biologists","language":[{"iso":"eng"}],"month":"08","article_type":"original","date_published":"2023-08-01T00:00:00Z","file":[{"embargo_to":"open_access","access_level":"closed","date_updated":"2023-08-21T07:37:54Z","file_size":18665315,"embargo":"2024-08-10","file_name":"2023_JourCellScience_Higashi.pdf","checksum":"a399389b7e3d072f1788b63e612a10b3","date_created":"2023-08-21T07:37:54Z","relation":"main_file","content_type":"application/pdf","creator":"dernst","file_id":"14092"}],"date_created":"2023-08-20T22:01:13Z","has_accepted_license":"1","department":[{"_id":"CaHe"},{"_id":"EvBe"}]},{"citation":{"ieee":"J. M. Michalska <i>et al.</i>, “Imaging brain tissue architecture across millimeter to nanometer scales,” <i>Nature Biotechnology</i>. Springer Nature, 2023.","apa":"Michalska, J. M., Lyudchik, J., Velicky, P., Korinkova, H., Watson, J., Cenameri, A., … Danzl, J. G. (2023). Imaging brain tissue architecture across millimeter to nanometer scales. <i>Nature Biotechnology</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41587-023-01911-8\">https://doi.org/10.1038/s41587-023-01911-8</a>","chicago":"Michalska, Julia M, Julia Lyudchik, Philipp Velicky, Hana Korinkova, Jake Watson, Alban Cenameri, Christoph M Sommer, et al. “Imaging Brain Tissue Architecture across Millimeter to Nanometer Scales.” <i>Nature Biotechnology</i>. Springer Nature, 2023. <a href=\"https://doi.org/10.1038/s41587-023-01911-8\">https://doi.org/10.1038/s41587-023-01911-8</a>.","ama":"Michalska JM, Lyudchik J, Velicky P, et al. Imaging brain tissue architecture across millimeter to nanometer scales. <i>Nature Biotechnology</i>. 2023. doi:<a href=\"https://doi.org/10.1038/s41587-023-01911-8\">10.1038/s41587-023-01911-8</a>","mla":"Michalska, Julia M., et al. “Imaging Brain Tissue Architecture across Millimeter to Nanometer Scales.” <i>Nature Biotechnology</i>, Springer Nature, 2023, doi:<a href=\"https://doi.org/10.1038/s41587-023-01911-8\">10.1038/s41587-023-01911-8</a>.","ista":"Michalska JM, Lyudchik J, Velicky P, Korinkova H, Watson J, Cenameri A, Sommer CM, Amberg N, Venturino A, Roessler K, Czech T, Höftberger R, Siegert S, Novarino G, Jonas PM, Danzl JG. 2023. Imaging brain tissue architecture across millimeter to nanometer scales. Nature Biotechnology.","short":"J.M. Michalska, J. Lyudchik, P. Velicky, H. Korinkova, J. Watson, A. Cenameri, C.M. Sommer, N. Amberg, A. Venturino, K. Roessler, T. Czech, R. Höftberger, S. Siegert, G. Novarino, P.M. Jonas, J.G. Danzl, Nature Biotechnology (2023)."},"publication_status":"epub_ahead","author":[{"full_name":"Michalska, Julia M","last_name":"Michalska","orcid":"0000-0003-3862-1235","first_name":"Julia M","id":"443DB6DE-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Lyudchik, Julia","last_name":"Lyudchik","first_name":"Julia","id":"46E28B80-F248-11E8-B48F-1D18A9856A87"},{"id":"39BDC62C-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-2340-7431","last_name":"Velicky","full_name":"Velicky, Philipp","first_name":"Philipp"},{"first_name":"Hana","last_name":"Korinkova","full_name":"Korinkova, Hana","id":"ee3cb6ca-ec98-11ea-ae11-ff703e2254ed"},{"id":"63836096-4690-11EA-BD4E-32803DDC885E","first_name":"Jake","last_name":"Watson","full_name":"Watson, Jake","orcid":"0000-0002-8698-3823"},{"id":"9ac8f577-2357-11eb-997a-e566c5550886","first_name":"Alban","last_name":"Cenameri","full_name":"Cenameri, Alban"},{"id":"4DF26D8C-F248-11E8-B48F-1D18A9856A87","last_name":"Sommer","full_name":"Sommer, Christoph M","orcid":"0000-0003-1216-9105","first_name":"Christoph M"},{"first_name":"Nicole","full_name":"Amberg, Nicole","last_name":"Amberg","orcid":"0000-0002-3183-8207","id":"4CD6AAC6-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Alessandro","full_name":"Venturino, Alessandro","last_name":"Venturino","orcid":"0000-0003-2356-9403","id":"41CB84B2-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Roessler","full_name":"Roessler, Karl","first_name":"Karl"},{"first_name":"Thomas","full_name":"Czech, Thomas","last_name":"Czech"},{"first_name":"Romana","full_name":"Höftberger, Romana","last_name":"Höftberger"},{"first_name":"Sandra","orcid":"0000-0001-8635-0877","last_name":"Siegert","full_name":"Siegert, Sandra","id":"36ACD32E-F248-11E8-B48F-1D18A9856A87"},{"id":"3E57A680-F248-11E8-B48F-1D18A9856A87","first_name":"Gaia","last_name":"Novarino","full_name":"Novarino, Gaia","orcid":"0000-0002-7673-7178"},{"orcid":"0000-0001-5001-4804","last_name":"Jonas","full_name":"Jonas, Peter M","first_name":"Peter M","id":"353C1B58-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Danzl, Johann G","last_name":"Danzl","orcid":"0000-0001-8559-3973","first_name":"Johann G","id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87"}],"abstract":[{"lang":"eng","text":"Mapping the complex and dense arrangement of cells and their connectivity in brain tissue demands nanoscale spatial resolution imaging. Super-resolution optical microscopy excels at visualizing specific molecules and individual cells but fails to provide tissue context. Here we developed Comprehensive Analysis of Tissues across Scales (CATS), a technology to densely map brain tissue architecture from millimeter regional to nanometer synaptic scales in diverse chemically fixed brain preparations, including rodent and human. CATS uses fixation-compatible extracellular labeling and optical imaging, including stimulated emission depletion or expansion microscopy, to comprehensively delineate cellular structures. It enables three-dimensional reconstruction of single synapses and mapping of synaptic connectivity by identification and analysis of putative synaptic cleft regions. Applying CATS to the mouse hippocampal mossy fiber circuitry, we reconstructed and quantified the synaptic input and output structure of identified neurons. We furthermore demonstrate applicability to clinically derived human tissue samples, including formalin-fixed paraffin-embedded routine diagnostic specimens, for visualizing the cellular architecture of brain tissue in health and disease."}],"article_processing_charge":"Yes (in subscription journal)","date_updated":"2024-02-21T12:18:18Z","oa":1,"quality_controlled":"1","oa_version":"Published Version","project":[{"grant_number":"I03600","_id":"265CB4D0-B435-11E9-9278-68D0E5697425","name":"Optical control of synaptic function via adhesion molecules","call_identifier":"FWF"},{"grant_number":"W1232-B24","call_identifier":"FWF","_id":"2548AE96-B435-11E9-9278-68D0E5697425","name":"Molecular Drug Targets"},{"grant_number":"Z00312","_id":"25C5A090-B435-11E9-9278-68D0E5697425","name":"The Wittgenstein Prize","call_identifier":"FWF"},{"name":"High content imaging to decode human immune cell interactions in health and allergic disease","_id":"23889792-32DE-11EA-91FC-C7463DDC885E"},{"grant_number":"715508","_id":"25444568-B435-11E9-9278-68D0E5697425","name":"Probing the Reversibility of Autism Spectrum Disorders by Employing in vivo and in vitro Models","call_identifier":"H2020"},{"grant_number":"692692","call_identifier":"H2020","name":"Biophysics and circuit function of a giant cortical glumatergic synapse","_id":"25B7EB9E-B435-11E9-9278-68D0E5697425"},{"call_identifier":"H2020","name":"International IST Doctoral Program","_id":"2564DBCA-B435-11E9-9278-68D0E5697425","grant_number":"665385"},{"_id":"fc2be41b-9c52-11eb-aca3-faa90aa144e9","name":"Synaptic computations of the hippocampal CA3 circuitry","call_identifier":"H2020","grant_number":"101026635"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","acknowledgement":"We thank J. Vorlaufer, N. Agudelo-Dueñas, W. Jahr and A. Wartak for microscope maintenance and troubleshooting; C. Kreuzinger, A. Freeman and I. Erber for technical assistance; and M. Tomschik for support with obtaining human samples. We gratefully acknowledge E. Miguel for setting up webKnossos and M. Šuplata for computational support and hardware control. We are grateful to R. Shigemoto and B. Bickel for generous support and M. Sixt and S. Boyd (Stanford University) for discussions and critical reading of the paper. PSD95-HaloTag mice were kindly provided by S. Grant (University of Edinburgh). We acknowledge expert support by Institute of Science and Technology Austria’s scientific computing, imaging and optics, preclinical and lab support facilities and by the Miba machine shop and library. We gratefully acknowledge funding by the following sources: Austrian Science Fund (FWF) grant I3600-B27 (J.G.D.); Austrian Science Fund (FWF) grant DK W1232 (J.G.D. and J.M.M.); Austrian Science Fund (FWF) grant Z 312-B27, Wittgenstein award (P.J.); Austrian Science Fund (FWF) projects I4685-B, I6565-B (SYNABS) and DOC 33-B27 (R.H.); Gesellschaft für Forschungsförderung NÖ (NFB) grant LSC18-022 (J.G.D.); European Union’s Horizon 2020 research and innovation programme, European Research Council (ERC) grant 715508 – REVERSEAUTISM (G.N.); European Union’s Horizon 2020 research and innovation programme, European Research Council (ERC) grant 692692 – GIANTSYN (P.J.); Marie Skłodowska-Curie Actions Fellowship GA no. 665385 under the EU Horizon 2020 program (J.M.M. and J.L.); and Marie Skłodowska-Curie Actions Individual Fellowship no. 101026635 under the EU Horizon 2020 program (J.F.W.).","publication_identifier":{"issn":["1087-0156"],"eissn":["1546-1696"]},"_id":"14257","ec_funded":1,"year":"2023","doi":"10.1038/s41587-023-01911-8","acknowledged_ssus":[{"_id":"ScienComp"},{"_id":"Bio"},{"_id":"PreCl"},{"_id":"LifeSc"},{"_id":"M-Shop"},{"_id":"E-Lib"}],"external_id":{"isi":["001065254200001"]},"title":"Imaging brain tissue architecture across millimeter to nanometer scales","isi":1,"main_file_link":[{"open_access":"1","url":"https://doi.org/10.1038/s41587-023-01911-8"}],"related_material":{"link":[{"relation":"software","url":"https://github.com/danzllab/CATS"}],"record":[{"status":"public","id":"13126","relation":"research_data"}]},"type":"journal_article","day":"31","status":"public","publication":"Nature Biotechnology","date_published":"2023-08-31T00:00:00Z","article_type":"original","month":"08","language":[{"iso":"eng"}],"scopus_import":"1","publisher":"Springer Nature","department":[{"_id":"SaSi"},{"_id":"GaNo"},{"_id":"PeJo"},{"_id":"JoDa"},{"_id":"Bio"},{"_id":"RySh"}],"date_created":"2023-09-03T22:01:15Z"},{"title":"Spatiotemporal signaling during assembly of the bacterial divisome","doi":"10.15479/at:ista:14280","year":"2023","acknowledged_ssus":[{"_id":"Bio"},{"_id":"LifeSc"}],"ec_funded":1,"related_material":{"record":[{"id":"11373","relation":"part_of_dissertation","status":"public"},{"relation":"part_of_dissertation","id":"7387","status":"public"},{"status":"public","relation":"research_data","id":"10934"}]},"ddc":["572"],"tmp":{"image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"alternative_title":["ISTA Thesis"],"abstract":[{"lang":"eng","text":"Cell division in Escherichia coli is performed by the divisome, a multi-protein complex composed of more than 30 proteins. The divisome spans from the cytoplasm through the inner membrane to the cell wall and the outer membrane. Divisome assembly is initiated by a cytoskeletal structure, the so-called Z-ring, which localizes at the center of the E. coli cell and determines the position of the future cell septum. The Z-ring is composed of the highly conserved bacterial tubulin homologue FtsZ, which forms treadmilling filaments. These filaments are recruited to the inner membrane by FtsA, a highly conserved bacterial actin homologue. FtsA interacts with other proteins in the periplasm and thus connects the cytoplasmic and periplasmic components of the divisome. \r\nA previous model postulated that FtsA regulates maturation of the divisome by switching from an oligomeric, inactive state to a monomeric and active state. This model was based mostly on in vivo studies, as a biochemical characterization of FtsA has been hampered by difficulties in purifying the protein. Here, we studied FtsA using an in vitro reconstitution approach and aimed to answer two questions: (i) How are dynamics from cytoplasmic, treadmilling FtsZ filaments coupled to proteins acting in the periplasmic space and (ii) How does FtsA regulate the maturation of the divisome?\r\nWe found that the cytoplasmic peptides of the transmembrane proteins FtsN and FtsQ interact directly with FtsA and can follow the spatiotemporal signal of FtsA/Z filaments. When we investigated the underlying mechanism by imaging single molecules of FtsNcyto, we found the peptide to interact transiently with FtsA. An in depth analysis of the single molecule trajectories helped to postulate a model where PG synthases follow the dynamics of FtsZ by a diffusion and capture mechanism. \r\nFollowing up on these findings we were interested in how the self-interaction of FtsA changes when it encounters FtsNcyto and if we can confirm the proposed oligomer-monomer switch. For this, we compared the behavior of the previously identified, hyperactive mutant FtsA R286W with wildtype FtsA. The mutant outperforms WT in mirroring and transmitting the spatiotemporal signal of treadmilling FtsZ filaments. Surprisingly however, we found that this was not due to a difference in the self-interaction strength of the two variants, but a difference in their membrane residence time. Furthermore, in contrast to our expectations, upon binding of FtsNcyto the measured self-interaction of FtsA actually increased. \r\nWe propose that FtsNcyto induces a rearrangement of the oligomeric architecture of FtsA. In further consequence this change leads to more persistent FtsZ filaments which results in a defined signalling zone, allowing formation of the mature divisome. The observed difference between FtsA WT and R286W is due to the vastly different membrane turnover of the proteins. R286W cycles 5-10x faster compared to WT which allows to sample FtsZ filaments at faster frequencies. These findings can explain the observed differences in toxicity for overexpression of FtsA WT and R286W and help to understand how FtsA regulates divisome maturation."}],"keyword":["Cell Division","Reconstitution","FtsZ","FtsA","Divisome","E.coli"],"author":[{"orcid":"0000-0001-9198-2182 ","full_name":"Radler, Philipp","last_name":"Radler","first_name":"Philipp","id":"40136C2A-F248-11E8-B48F-1D18A9856A87"}],"citation":{"ieee":"P. Radler, “Spatiotemporal signaling during assembly of the bacterial divisome,” Institute of Science and Technology Austria, 2023.","apa":"Radler, P. (2023). <i>Spatiotemporal signaling during assembly of the bacterial divisome</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/at:ista:14280\">https://doi.org/10.15479/at:ista:14280</a>","chicago":"Radler, Philipp. “Spatiotemporal Signaling during Assembly of the Bacterial Divisome.” Institute of Science and Technology Austria, 2023. <a href=\"https://doi.org/10.15479/at:ista:14280\">https://doi.org/10.15479/at:ista:14280</a>.","mla":"Radler, Philipp. <i>Spatiotemporal Signaling during Assembly of the Bacterial Divisome</i>. Institute of Science and Technology Austria, 2023, doi:<a href=\"https://doi.org/10.15479/at:ista:14280\">10.15479/at:ista:14280</a>.","ama":"Radler P. Spatiotemporal signaling during assembly of the bacterial divisome. 2023. doi:<a href=\"https://doi.org/10.15479/at:ista:14280\">10.15479/at:ista:14280</a>","short":"P. Radler, Spatiotemporal Signaling during Assembly of the Bacterial Divisome, Institute of Science and Technology Austria, 2023.","ista":"Radler P. 2023. Spatiotemporal signaling during assembly of the bacterial divisome. Institute of Science and Technology Austria."},"publication_status":"published","publication_identifier":{"isbn":["978-3-99078-033-6"],"issn":["2663-337X"]},"_id":"14280","oa_version":"Published Version","project":[{"_id":"2595697A-B435-11E9-9278-68D0E5697425","name":"Self-Organization of the Bacterial Cell","call_identifier":"H2020","grant_number":"679239"},{"_id":"fc38323b-9c52-11eb-aca3-ff8afb4a011d","name":"Understanding bacterial cell division by in vitro\r\nreconstitution","grant_number":"P34607"},{"_id":"2596EAB6-B435-11E9-9278-68D0E5697425","name":"Synthesis of bacterial cell wall","grant_number":"ALTF 2015-1163"},{"_id":"259B655A-B435-11E9-9278-68D0E5697425","name":"Reconstitution of bacterial cell wall sythesis","grant_number":"LT000824/2016"}],"user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","article_processing_charge":"No","date_updated":"2024-02-21T12:35:18Z","publisher":"Institute of Science and Technology Austria","language":[{"iso":"eng"}],"month":"09","date_published":"2023-09-25T00:00:00Z","file":[{"date_updated":"2023-10-04T10:28:35Z","access_level":"closed","file_name":"PhD Thesis_Philipp Radler_20231004.docx","file_size":114932847,"date_created":"2023-10-04T10:11:53Z","checksum":"87eef11fbc5c7df0826f12a3a629b444","content_type":"application/vnd.openxmlformats-officedocument.wordprocessingml.document","relation":"source_file","file_id":"14390","creator":"pradler"},{"date_updated":"2023-10-04T10:28:35Z","access_level":"closed","embargo_to":"open_access","date_created":"2023-10-04T10:11:21Z","checksum":"3253e099b7126469d941fd9419d68b4f","file_name":"PhD Thesis_Philipp Radler_20231004.pdf","embargo":"2024-10-04","file_size":37838778,"creator":"pradler","file_id":"14391","content_type":"application/pdf","relation":"main_file"}],"date_created":"2023-09-06T10:58:25Z","has_accepted_license":"1","degree_awarded":"PhD","department":[{"_id":"GradSch"},{"_id":"MaLo"}],"supervisor":[{"orcid":"0000-0001-7309-9724","last_name":"Loose","full_name":"Loose, Martin","first_name":"Martin","id":"462D4284-F248-11E8-B48F-1D18A9856A87"}],"status":"public","day":"25","type":"dissertation","file_date_updated":"2023-10-04T10:28:35Z","page":"156"},{"ddc":["570"],"related_material":{"record":[{"status":"public","id":"14562","relation":"research_data"}]},"isi":1,"article_number":"add6495","tmp":{"image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"title":"ArpC5 isoforms regulate Arp2/3 complex–dependent protrusion through differential Ena/VASP positioning","external_id":{"isi":["000964550100015"]},"acknowledged_ssus":[{"_id":"ScienComp"},{"_id":"LifeSc"},{"_id":"Bio"},{"_id":"EM-Fac"}],"year":"2023","doi":"10.1126/sciadv.add6495","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","acknowledgement":"We would like to thank K. von Peinen and B. Denker (Helmholtz Centre for Infection Research, Braunschweig, Germany) for experimental and technical assistance, respectively.\r\nThis research was supported by the Scientific Service Units (SSUs) of ISTA through resources provided by Scientific Computing (SciComp), the Life Science Facility (LSF), the Imaging and Optics facility (IOF), and the Electron Microscopy Facility (EMF). We acknowledge support from ISTA and from the Austrian Science Fund (FWF) (P33367) to F.K.M.S., from the Research Training Group GRK2223 and the Helmholtz Society to K.R,. and from the Deutsche Forschungsgemeinschaft (DFG) to J.F. and K.R.","project":[{"name":"Structure and isoform diversity of the Arp2/3 complex","_id":"9B954C5C-BA93-11EA-9121-9846C619BF3A","grant_number":"P33367"}],"quality_controlled":"1","oa_version":"Published Version","_id":"12334","publication_identifier":{"issn":["2375-2548"]},"volume":9,"date_updated":"2023-11-21T08:05:35Z","oa":1,"article_processing_charge":"No","author":[{"full_name":"Fäßler, Florian","last_name":"Fäßler","orcid":"0000-0001-7149-769X","first_name":"Florian","id":"404F5528-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Manjunath","last_name":"Javoor","full_name":"Javoor, Manjunath","id":"305ab18b-dc7d-11ea-9b2f-b58195228ea2"},{"orcid":"0000-0002-3616-8580","last_name":"Datler","full_name":"Datler, Julia","first_name":"Julia","id":"3B12E2E6-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Döring, Hermann","last_name":"Döring","first_name":"Hermann"},{"first_name":"Florian","full_name":"Hofer, Florian","last_name":"Hofer","id":"b9d234ba-9e33-11ed-95b6-cd561df280e6"},{"id":"38C393BE-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8370-6161","last_name":"Dimchev","full_name":"Dimchev, Georgi A","first_name":"Georgi A"},{"first_name":"Victor-Valentin","full_name":"Hodirnau, Victor-Valentin","last_name":"Hodirnau","id":"3661B498-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Jan","full_name":"Faix, Jan","last_name":"Faix"},{"first_name":"Klemens","last_name":"Rottner","full_name":"Rottner, Klemens"},{"id":"48AD8942-F248-11E8-B48F-1D18A9856A87","first_name":"Florian KM","orcid":"0000-0003-4790-8078","full_name":"Schur, Florian KM","last_name":"Schur"}],"keyword":["Multidisciplinary"],"abstract":[{"lang":"eng","text":"Regulation of the Arp2/3 complex is required for productive nucleation of branched actin networks. An emerging aspect of regulation is the incorporation of subunit isoforms into the Arp2/3 complex. Specifically, both ArpC5 subunit isoforms, ArpC5 and ArpC5L, have been reported to fine-tune nucleation activity and branch junction stability. We have combined reverse genetics and cellular structural biology to describe how ArpC5 and ArpC5L differentially affect cell migration. Both define the structural stability of ArpC1 in branch junctions and, in turn, by determining protrusion characteristics, affect protein dynamics and actin network ultrastructure. ArpC5 isoforms also affect the positioning of members of the Ena/Vasodilator-stimulated phosphoprotein (VASP) family of actin filament elongators, which mediate ArpC5 isoform–specific effects on the actin assembly level. Our results suggest that ArpC5 and Ena/VASP proteins are part of a signaling pathway enhancing cell migration.</jats:p>"}],"publication_status":"published","citation":{"ieee":"F. Fäßler <i>et al.</i>, “ArpC5 isoforms regulate Arp2/3 complex–dependent protrusion through differential Ena/VASP positioning,” <i>Science Advances</i>, vol. 9, no. 3. American Association for the Advancement of Science, 2023.","apa":"Fäßler, F., Javoor, M., Datler, J., Döring, H., Hofer, F., Dimchev, G. A., … Schur, F. K. (2023). ArpC5 isoforms regulate Arp2/3 complex–dependent protrusion through differential Ena/VASP positioning. <i>Science Advances</i>. American Association for the Advancement of Science. <a href=\"https://doi.org/10.1126/sciadv.add6495\">https://doi.org/10.1126/sciadv.add6495</a>","chicago":"Fäßler, Florian, Manjunath Javoor, Julia Datler, Hermann Döring, Florian Hofer, Georgi A Dimchev, Victor-Valentin Hodirnau, Jan Faix, Klemens Rottner, and Florian KM Schur. “ArpC5 Isoforms Regulate Arp2/3 Complex–Dependent Protrusion through Differential Ena/VASP Positioning.” <i>Science Advances</i>. American Association for the Advancement of Science, 2023. <a href=\"https://doi.org/10.1126/sciadv.add6495\">https://doi.org/10.1126/sciadv.add6495</a>.","mla":"Fäßler, Florian, et al. “ArpC5 Isoforms Regulate Arp2/3 Complex–Dependent Protrusion through Differential Ena/VASP Positioning.” <i>Science Advances</i>, vol. 9, no. 3, add6495, American Association for the Advancement of Science, 2023, doi:<a href=\"https://doi.org/10.1126/sciadv.add6495\">10.1126/sciadv.add6495</a>.","ama":"Fäßler F, Javoor M, Datler J, et al. ArpC5 isoforms regulate Arp2/3 complex–dependent protrusion through differential Ena/VASP positioning. <i>Science Advances</i>. 2023;9(3). doi:<a href=\"https://doi.org/10.1126/sciadv.add6495\">10.1126/sciadv.add6495</a>","short":"F. Fäßler, M. Javoor, J. Datler, H. Döring, F. Hofer, G.A. Dimchev, V.-V. Hodirnau, J. Faix, K. Rottner, F.K. Schur, Science Advances 9 (2023).","ista":"Fäßler F, Javoor M, Datler J, Döring H, Hofer F, Dimchev GA, Hodirnau V-V, Faix J, Rottner K, Schur FK. 2023. ArpC5 isoforms regulate Arp2/3 complex–dependent protrusion through differential Ena/VASP positioning. Science Advances. 9(3), add6495."},"file":[{"success":1,"creator":"dernst","file_id":"12335","content_type":"application/pdf","relation":"main_file","date_created":"2023-01-23T07:45:54Z","checksum":"ce81a6d0b84170e5e8c62f6acfa15d9e","file_name":"2023_ScienceAdvances_Faessler.pdf","file_size":1756234,"date_updated":"2023-01-23T07:45:54Z","access_level":"open_access"}],"date_created":"2023-01-23T07:26:42Z","department":[{"_id":"FlSc"},{"_id":"EM-Fac"}],"has_accepted_license":"1","language":[{"iso":"eng"}],"publisher":"American Association for the Advancement of Science","scopus_import":"1","date_published":"2023-01-20T00:00:00Z","article_type":"original","month":"01","file_date_updated":"2023-01-23T07:45:54Z","issue":"3","publication":"Science Advances","status":"public","intvolume":"         9","type":"journal_article","day":"20"},{"oa":1,"date_updated":"2023-10-04T11:41:05Z","volume":26,"article_processing_charge":"Yes (in subscription journal)","_id":"12349","pmid":1,"publication_identifier":{"issn":["1097-6256"],"eissn":["1546-1726"]},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","acknowledgement":"We thank Hiroki Asari for sharing the dataset of naturalistic images, Anton Sumser for sharing visual stimulus code, Yoav Ben Simon for initial explorative work with the generation of AAVs, and Tomas Vega-Zuñiga for help with immunostainings. We also thank Gasper Tkacik and members of the Neuroethology group for their comments on the manuscript. This research was supported by the Scientific Service Units of IST Austria through resources provided by Scientific Computing, the Preclinical Facility, the Lab Support Facility, and the Imaging and Optics Facility. This work was supported by European Union Horizon 2020 Marie Skłodowska-Curie grant 665385 (DG), Austrian Science Fund (FWF) stand-alone grant P 34015 (WM), Human Frontiers Science Program LT000256/2018-L (AS), EMBO ALTF 1098-2017 (AS) and the European Research Council Starting Grant 756502 (MJ).","quality_controlled":"1","oa_version":"Published Version","project":[{"grant_number":"665385","call_identifier":"H2020","name":"International IST Doctoral Program","_id":"2564DBCA-B435-11E9-9278-68D0E5697425"},{"grant_number":"P34015","_id":"626c45b5-2b32-11ec-9570-e509828c1ba6","name":"Efficient coding with biophysical realism"},{"_id":"2634E9D2-B435-11E9-9278-68D0E5697425","name":"Circuits of Visual Attention","call_identifier":"H2020","grant_number":"756502"},{"grant_number":"LT000256","name":"Neuronal networks of salience and spatial detection in the murine superior colliculus","_id":"266D407A-B435-11E9-9278-68D0E5697425"},{"_id":"264FEA02-B435-11E9-9278-68D0E5697425","name":"Connecting sensory with motor processing in the superior colliculus","grant_number":"ALTF 1098-2017"}],"publication_status":"published","citation":{"ieee":"D. Gupta, W. F. Mlynarski, A. L. Sumser, O. Symonova, J. Svaton, and M. A. Jösch, “Panoramic visual statistics shape retina-wide organization of receptive fields,” <i>Nature Neuroscience</i>, vol. 26. Springer Nature, pp. 606–614, 2023.","apa":"Gupta, D., Mlynarski, W. F., Sumser, A. L., Symonova, O., Svaton, J., &#38; Jösch, M. A. (2023). Panoramic visual statistics shape retina-wide organization of receptive fields. <i>Nature Neuroscience</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41593-023-01280-0\">https://doi.org/10.1038/s41593-023-01280-0</a>","chicago":"Gupta, Divyansh, Wiktor F Mlynarski, Anton L Sumser, Olga Symonova, Jan Svaton, and Maximilian A Jösch. “Panoramic Visual Statistics Shape Retina-Wide Organization of Receptive Fields.” <i>Nature Neuroscience</i>. Springer Nature, 2023. <a href=\"https://doi.org/10.1038/s41593-023-01280-0\">https://doi.org/10.1038/s41593-023-01280-0</a>.","mla":"Gupta, Divyansh, et al. “Panoramic Visual Statistics Shape Retina-Wide Organization of Receptive Fields.” <i>Nature Neuroscience</i>, vol. 26, Springer Nature, 2023, pp. 606–14, doi:<a href=\"https://doi.org/10.1038/s41593-023-01280-0\">10.1038/s41593-023-01280-0</a>.","ama":"Gupta D, Mlynarski WF, Sumser AL, Symonova O, Svaton J, Jösch MA. Panoramic visual statistics shape retina-wide organization of receptive fields. <i>Nature Neuroscience</i>. 2023;26:606-614. doi:<a href=\"https://doi.org/10.1038/s41593-023-01280-0\">10.1038/s41593-023-01280-0</a>","ista":"Gupta D, Mlynarski WF, Sumser AL, Symonova O, Svaton J, Jösch MA. 2023. Panoramic visual statistics shape retina-wide organization of receptive fields. Nature Neuroscience. 26, 606–614.","short":"D. Gupta, W.F. Mlynarski, A.L. Sumser, O. Symonova, J. Svaton, M.A. Jösch, Nature Neuroscience 26 (2023) 606–614."},"abstract":[{"text":"Statistics of natural scenes are not uniform - their structure varies dramatically from ground to sky. It remains unknown whether these non-uniformities are reflected in the large-scale organization of the early visual system and what benefits such adaptations would confer. Here, by relying on the efficient coding hypothesis, we predict that changes in the structure of receptive fields across visual space increase the efficiency of sensory coding. We show experimentally that, in agreement with our predictions, receptive fields of retinal ganglion cells change their shape along the dorsoventral retinal axis, with a marked surround asymmetry at the visual horizon. Our work demonstrates that, according to principles of efficient coding, the panoramic structure of natural scenes is exploited by the retina across space and cell-types.","lang":"eng"}],"author":[{"orcid":"0000-0001-7400-6665","full_name":"Gupta, Divyansh","last_name":"Gupta","first_name":"Divyansh","id":"2A485EBE-F248-11E8-B48F-1D18A9856A87"},{"id":"358A453A-F248-11E8-B48F-1D18A9856A87","first_name":"Wiktor F","last_name":"Mlynarski","full_name":"Mlynarski, Wiktor F"},{"id":"3320A096-F248-11E8-B48F-1D18A9856A87","last_name":"Sumser","full_name":"Sumser, Anton L","orcid":"0000-0002-4792-1881","first_name":"Anton L"},{"last_name":"Symonova","full_name":"Symonova, Olga","orcid":"0000-0003-2012-9947","first_name":"Olga","id":"3C0C7BC6-F248-11E8-B48F-1D18A9856A87"},{"id":"f7f724c3-9d6f-11ed-9f44-e5c5f3a5bee2","first_name":"Jan","orcid":"0000-0002-6198-2939","full_name":"Svaton, Jan","last_name":"Svaton"},{"id":"2BD278E6-F248-11E8-B48F-1D18A9856A87","first_name":"Maximilian A","full_name":"Jösch, Maximilian A","last_name":"Jösch","orcid":"0000-0002-3937-1330"}],"tmp":{"image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"isi":1,"related_material":{"record":[{"status":"public","id":"12370","relation":"research_data"}]},"ddc":["570"],"acknowledged_ssus":[{"_id":"ScienComp"},{"_id":"PreCl"},{"_id":"LifeSc"},{"_id":"Bio"}],"doi":"10.1038/s41593-023-01280-0","year":"2023","ec_funded":1,"external_id":{"isi":["000955258300002"],"pmid":["36959418"]},"title":"Panoramic visual statistics shape retina-wide organization of receptive fields","publication":"Nature Neuroscience","page":"606-614","file_date_updated":"2023-10-04T11:40:51Z","day":"01","type":"journal_article","intvolume":"        26","status":"public","has_accepted_license":"1","department":[{"_id":"GradSch"},{"_id":"MaJö"}],"date_created":"2023-01-23T14:14:19Z","file":[{"checksum":"a33d91e398e548f34003170e10988368","date_created":"2023-10-04T11:40:51Z","file_size":6144866,"file_name":"2023_NatureNeuroscience_Gupta.pdf","access_level":"open_access","date_updated":"2023-10-04T11:40:51Z","success":1,"creator":"dernst","file_id":"14395","relation":"main_file","content_type":"application/pdf"}],"month":"04","article_type":"original","date_published":"2023-04-01T00:00:00Z","publisher":"Springer Nature","scopus_import":"1","language":[{"iso":"eng"}]},{"author":[{"id":"2A485EBE-F248-11E8-B48F-1D18A9856A87","first_name":"Divyansh","orcid":"0000-0001-7400-6665","full_name":"Gupta, Divyansh","last_name":"Gupta"},{"first_name":"Anton L","orcid":"0000-0002-4792-1881","last_name":"Sumser","full_name":"Sumser, Anton L","id":"3320A096-F248-11E8-B48F-1D18A9856A87"},{"orcid":"0000-0002-3937-1330","full_name":"Jösch, Maximilian A","last_name":"Jösch","first_name":"Maximilian A","id":"2BD278E6-F248-11E8-B48F-1D18A9856A87"}],"abstract":[{"text":"Statistics of natural scenes are not uniform - their structure varies dramatically from ground to sky. It remains unknown whether these non-uniformities are reflected in the large-scale organization of the early visual system and what benefits such adaptations would confer. Here, by relying on the efficient coding hypothesis, we predict that changes in the structure of receptive fields across visual space increase the efficiency of sensory coding. We show experimentally that, in agreement with our predictions, receptive fields of retinal ganglion cells change their shape along the dorsoventral retinal axis, with a marked surround asymmetry at the visual horizon. Our work demonstrates that, according to principles of efficient coding, the panoramic structure of natural scenes is exploited by the retina across space and cell-types. ","lang":"eng"}],"citation":{"mla":"Gupta, Divyansh, et al. <i>Research Data for: Panoramic Visual Statistics Shape Retina-Wide Organization of Receptive Fields</i>. Institute of Science and Technology Austria, 2023, doi:<a href=\"https://doi.org/10.15479/AT:ISTA:12370\">10.15479/AT:ISTA:12370</a>.","ama":"Gupta D, Sumser AL, Jösch MA. Research Data for: Panoramic visual statistics shape retina-wide organization of receptive fields. 2023. doi:<a href=\"https://doi.org/10.15479/AT:ISTA:12370\">10.15479/AT:ISTA:12370</a>","short":"D. Gupta, A.L. Sumser, M.A. Jösch, (2023).","ista":"Gupta D, Sumser AL, Jösch MA. 2023. Research Data for: Panoramic visual statistics shape retina-wide organization of receptive fields, Institute of Science and Technology Austria, <a href=\"https://doi.org/10.15479/AT:ISTA:12370\">10.15479/AT:ISTA:12370</a>.","ieee":"D. Gupta, A. L. Sumser, and M. A. Jösch, “Research Data for: Panoramic visual statistics shape retina-wide organization of receptive fields.” Institute of Science and Technology Austria, 2023.","apa":"Gupta, D., Sumser, A. L., &#38; Jösch, M. A. (2023). Research Data for: Panoramic visual statistics shape retina-wide organization of receptive fields. 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of Science and Technology Austria","language":[{"iso":"eng"}],"article_processing_charge":"No","oa":1,"date_updated":"2023-08-31T12:26:58Z","publication_identifier":{"isbn":[" 978-3-99078-026-8"],"issn":["2663-337X"]},"_id":"12470","oa_version":"Published Version","project":[{"call_identifier":"H2020","_id":"2564DBCA-B435-11E9-9278-68D0E5697425","name":"International IST Doctoral Program","grant_number":"665385"},{"grant_number":"W1232-B24","name":"Molecular Drug Targets","_id":"26AA4EF2-B435-11E9-9278-68D0E5697425","call_identifier":"FWF"}],"user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","citation":{"ieee":"J. M. Michalska, “A versatile toolbox for the comprehensive analysis of nervous tissue organization with light microscopy,” Institute of Science and Technology Austria, 2023.","apa":"Michalska, J. M. (2023). <i>A versatile toolbox for the comprehensive analysis of nervous tissue organization with light microscopy</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/at:ista:12470\">https://doi.org/10.15479/at:ista:12470</a>","chicago":"Michalska, Julia M. “A Versatile Toolbox for the Comprehensive Analysis of Nervous Tissue Organization with Light Microscopy.” Institute of Science and Technology Austria, 2023. <a href=\"https://doi.org/10.15479/at:ista:12470\">https://doi.org/10.15479/at:ista:12470</a>.","mla":"Michalska, Julia M. <i>A Versatile Toolbox for the Comprehensive Analysis of Nervous Tissue Organization with Light Microscopy</i>. Institute of Science and Technology Austria, 2023, doi:<a href=\"https://doi.org/10.15479/at:ista:12470\">10.15479/at:ista:12470</a>.","ama":"Michalska JM. A versatile toolbox for the comprehensive analysis of nervous tissue organization with light microscopy. 2023. doi:<a href=\"https://doi.org/10.15479/at:ista:12470\">10.15479/at:ista:12470</a>","ista":"Michalska JM. 2023. A versatile toolbox for the comprehensive analysis of nervous tissue organization with light microscopy. Institute of Science and Technology Austria.","short":"J.M. Michalska, A Versatile Toolbox for the Comprehensive Analysis of Nervous Tissue Organization with Light Microscopy, Institute of Science and Technology Austria, 2023."},"publication_status":"published","abstract":[{"text":"The brain is an exceptionally sophisticated organ consisting of billions of cells and trillions of \r\nconnections that orchestrate our cognition and behavior. To decode its complex connectivity, it is \r\npivotal to disentangle its intricate architecture spanning from cm-sized circuits down to tens of \r\nnm-small synapses.\r\nTo achieve this goal, I developed CATS – Comprehensive Analysis of nervous Tissue across \r\nScales, a versatile toolbox for obtaining a holistic view of nervous tissue context with (super\u0002resolution) fluorescence microscopy. CATS combines comprehensive labeling of the extracellular\r\nspace, that is compatible with chemical fixation, with information on molecular markers, super\u0002resolved data acquisition and machine-learning based data analysis for segmentation and synapse \r\nidentification.\r\nI used CATS to analyze key features of nervous tissue connectivity, ranging from whole tissue \r\narchitecture, neuronal in- and output-fields, down to synapse morphology.\r\nFocusing on the hippocampal circuitry, I quantified synaptic transmission properties of mossy \r\nfiber boutons and analyzed the connectivity pattern of dentate gyrus granule cells with CA3 \r\npyramidal neurons. This shows that CATS is a viable tool to study hallmarks of neuronal \r\nconnectivity with light microscopy.","lang":"eng"}],"author":[{"last_name":"Michalska","full_name":"Michalska, Julia M","orcid":"0000-0003-3862-1235","first_name":"Julia M","id":"443DB6DE-F248-11E8-B48F-1D18A9856A87"}],"tmp":{"image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"alternative_title":["ISTA Thesis"],"related_material":{"record":[{"status":"public","relation":"part_of_dissertation","id":"11943"},{"status":"public","id":"11950","relation":"part_of_dissertation"}]},"ddc":["610"],"doi":"10.15479/at:ista:12470","year":"2023","acknowledged_ssus":[{"_id":"Bio"},{"_id":"LifeSc"},{"_id":"PreCl"},{"_id":"EM-Fac"},{"_id":"M-Shop"},{"_id":"ScienComp"}],"ec_funded":1,"title":"A versatile toolbox for the comprehensive analysis of nervous tissue organization with light microscopy"},{"month":"02","date_published":"2023-02-02T00:00:00Z","publisher":"Institute of Science and Technology Austria","language":[{"iso":"eng"}],"has_accepted_license":"1","degree_awarded":"PhD","department":[{"_id":"GradSch"},{"_id":"FlSc"}],"file":[{"content_type":"application/pdf","relation":"main_file","file_id":"12527","creator":"bzens","date_updated":"2024-02-08T23:30:04Z","access_level":"open_access","file_name":"PhDThesis_BettinaZens_2023_final.pdf","embargo":"2024-02-07","file_size":23082464,"date_created":"2023-02-07T13:07:38Z","checksum":"069d87f025e0799bf9e3c375664264f2"},{"date_created":"2023-02-07T13:09:05Z","checksum":"8c66ed203495d6e078ed1002a866520c","file_name":"PhDThesis_BettinaZens_2023_final.docx","file_size":106169509,"date_updated":"2024-02-08T23:30:04Z","access_level":"closed","embargo_to":"open_access","file_id":"12528","creator":"bzens","content_type":"application/vnd.openxmlformats-officedocument.wordprocessingml.document","relation":"source_file"}],"date_created":"2023-02-02T14:50:20Z","day":"02","type":"dissertation","status":"public","supervisor":[{"id":"48AD8942-F248-11E8-B48F-1D18A9856A87","first_name":"Florian KM","orcid":"0000-0003-4790-8078","last_name":"Schur","full_name":"Schur, Florian KM"}],"file_date_updated":"2024-02-08T23:30:04Z","page":"187","doi":"10.15479/at:ista:12491","year":"2023","acknowledged_ssus":[{"_id":"EM-Fac"},{"_id":"LifeSc"},{"_id":"Bio"}],"title":"Ultrastructural characterization of natively preserved extracellular matrix by cryo-electron tomography","alternative_title":["ISTA Thesis"],"related_material":{"record":[{"status":"public","relation":"part_of_dissertation","id":"8586"}]},"ddc":["570"],"citation":{"ieee":"B. Zens, “Ultrastructural characterization of natively preserved extracellular matrix by cryo-electron tomography,” Institute of Science and Technology Austria, 2023.","apa":"Zens, B. (2023). <i>Ultrastructural characterization of natively preserved extracellular matrix by cryo-electron tomography</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/at:ista:12491\">https://doi.org/10.15479/at:ista:12491</a>","chicago":"Zens, Bettina. “Ultrastructural Characterization of Natively Preserved Extracellular Matrix by Cryo-Electron Tomography.” Institute of Science and Technology Austria, 2023. <a href=\"https://doi.org/10.15479/at:ista:12491\">https://doi.org/10.15479/at:ista:12491</a>.","mla":"Zens, Bettina. <i>Ultrastructural Characterization of Natively Preserved Extracellular Matrix by Cryo-Electron Tomography</i>. Institute of Science and Technology Austria, 2023, doi:<a href=\"https://doi.org/10.15479/at:ista:12491\">10.15479/at:ista:12491</a>.","ama":"Zens B. Ultrastructural characterization of natively preserved extracellular matrix by cryo-electron tomography. 2023. doi:<a href=\"https://doi.org/10.15479/at:ista:12491\">10.15479/at:ista:12491</a>","short":"B. Zens, Ultrastructural Characterization of Natively Preserved Extracellular Matrix by Cryo-Electron Tomography, Institute of Science and Technology Austria, 2023.","ista":"Zens B. 2023. Ultrastructural characterization of natively preserved extracellular matrix by cryo-electron tomography. Institute of Science and Technology Austria."},"publication_status":"published","abstract":[{"lang":"eng","text":"The extracellular matrix (ECM) is a hydrated and complex three-dimensional network consisting of proteins, polysaccharides, and water. It provides structural scaffolding for the cells embedded within it and is essential in regulating numerous physiological processes, including cell migration and proliferation, wound healing, and stem cell fate. \r\nDespite extensive study, detailed structural knowledge of ECM components in physiologically relevant conditions is still rudimentary. This is due to methodological limitations in specimen preparation protocols which are incompatible with keeping large samples, such as the ECM, in their native state for subsequent imaging. Conventional electron microscopy (EM) techniques rely on fixation, dehydration, contrasting, and sectioning. This results in the alteration of a highly hydrated environment and the potential introduction of artifacts. Other structural biology techniques, such as nuclear magnetic resonance (NMR) spectroscopy and X-ray crystallography, allow high-resolution analysis of protein structures but only work on homogenous and purified samples, hence lacking contextual information. Currently, no approach exists for the ultrastructural and structural study of extracellular components under native conditions in a physiological, 3D environment. \r\nIn this thesis, I have developed a workflow that allows for the ultrastructural analysis of the ECM in near-native conditions at molecular resolution. The developments I introduced include implementing a novel specimen preparation workflow for cell-derived matrices (CDMs) to render them compatible with ion-beam milling and subsequent high-resolution cryo-electron tomography (ET). \r\nTo this end, I have established protocols to generate CDMs grown over several weeks on EM grids that are compatible with downstream cryo-EM sample preparation and imaging techniques. Characterization of these ECMs confirmed that they contain essential ECM components such as collagen I, collagen VI, and fibronectin I in high abundance and hence represent a bona fide biologically-relevant sample. I successfully optimized vitrification of these specimens by testing various vitrification techniques and cryoprotectants. \r\nIn order to obtain high-resolution molecular insights into the ultrastructure and organization of CDMs, I established cryo-focused ion beam scanning electron microscopy (FIBSEM) on these challenging and complex specimens. I explored different approaches for the creation of thin cryo-lamellae by FIB milling and succeeded in optimizing the cryo-lift-out technique, resulting in high-quality lamellae of approximately 200 nm thickness. \r\nHigh-resolution Cryo-ET of these lamellae revealed for the first time the architecture of native CDM in the context of matrix-secreting cells. This allowed for the in situ visualization of fibrillar matrix proteins such as collagen, laying the foundation for future structural and ultrastructural characterization of these proteins in their near-native environment. \r\nIn summary, in this thesis, I present a novel workflow that combines state-of-the-art cryo-EM specimen preparation and imaging technologies to permit characterization of the ECM, an important tissue component in higher organisms. This innovative and highly versatile workflow will enable addressing far-reaching questions on ECM architecture, composition, and reciprocal ECM-cell interactions."}],"author":[{"id":"45FD126C-F248-11E8-B48F-1D18A9856A87","last_name":"Zens","full_name":"Zens, Bettina","first_name":"Bettina"}],"keyword":["cryo-EM","cryo-ET","FIB milling","method development","FIBSEM","extracellular matrix","ECM","cell-derived matrices","CDMs","cell culture","high pressure freezing","HPF","structural biology","tomography","collagen"],"article_processing_charge":"No","date_updated":"2024-02-08T23:30:05Z","oa":1,"publication_identifier":{"issn":["2663-337X"],"isbn":["978-3-99078-027-5"]},"_id":"12491","oa_version":"Published Version","project":[{"_id":"eba3b5f6-77a9-11ec-83b8-cf0905748aa3","name":"Integrated visual proteomics of reciprocal cell-extracellular matrix interactions"},{"_id":"059B463C-7A3F-11EA-A408-12923DDC885E","name":"NÖ-Fonds Preis für die Jungforscherin des Jahres am IST Austria"}],"user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9"},{"article_processing_charge":"No","oa":1,"date_updated":"2023-04-05T10:59:04Z","publication_identifier":{"issn":["2663-337X"]},"_id":"12716","project":[{"_id":"2634E9D2-B435-11E9-9278-68D0E5697425","name":"Circuits of Visual Attention","call_identifier":"H2020","grant_number":"756502"}],"oa_version":"Published Version","user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","citation":{"ieee":"L. Burnett, “To flee, or not to flee? Using innate defensive behaviours to investigate rapid perceptual decision-making through subcortical circuits in mouse models of autism,” Institute of Science and Technology Austria, 2023.","apa":"Burnett, L. (2023). <i>To flee, or not to flee? Using innate defensive behaviours to investigate rapid perceptual decision-making through subcortical circuits in mouse models of autism</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/at:ista:12716\">https://doi.org/10.15479/at:ista:12716</a>","chicago":"Burnett, Laura. “To Flee, or Not to Flee? Using Innate Defensive Behaviours to Investigate Rapid Perceptual Decision-Making through Subcortical Circuits in Mouse Models of Autism.” Institute of Science and Technology Austria, 2023. <a href=\"https://doi.org/10.15479/at:ista:12716\">https://doi.org/10.15479/at:ista:12716</a>.","ama":"Burnett L. To flee, or not to flee? Using innate defensive behaviours to investigate rapid perceptual decision-making through subcortical circuits in mouse models of autism. 2023. doi:<a href=\"https://doi.org/10.15479/at:ista:12716\">10.15479/at:ista:12716</a>","mla":"Burnett, Laura. <i>To Flee, or Not to Flee? Using Innate Defensive Behaviours to Investigate Rapid Perceptual Decision-Making through Subcortical Circuits in Mouse Models of Autism</i>. Institute of Science and Technology Austria, 2023, doi:<a href=\"https://doi.org/10.15479/at:ista:12716\">10.15479/at:ista:12716</a>.","short":"L. Burnett, To Flee, or Not to Flee? Using Innate Defensive Behaviours to Investigate Rapid Perceptual Decision-Making through Subcortical Circuits in Mouse Models of Autism, Institute of Science and Technology Austria, 2023.","ista":"Burnett L. 2023. To flee, or not to flee? Using innate defensive behaviours to investigate rapid perceptual decision-making through subcortical circuits in mouse models of autism. Institute of Science and Technology Austria."},"publication_status":"published","abstract":[{"text":"The process of detecting and evaluating sensory information to guide behaviour is termed perceptual decision-making (PDM), and is critical for the ability of an organism to interact with its external world. Individuals with autism, a neurodevelopmental condition primarily characterised by social and communication difficulties, frequently exhibit altered sensory processing and PDM difficulties are widely reported. Recent technological advancements have pushed forward our understanding of the genetic changes accompanying this condition, however our understanding of how these mutations affect the function of specific neuronal circuits and bring about the corresponding behavioural changes remains limited. Here, we use an innate PDM task, the looming avoidance response (LAR) paradigm, to identify a convergent behavioural abnormality across three molecularly distinct genetic mouse models of autism (Cul3, Setd5 and Ptchd1). Although mutant mice can rapidly detect threatening visual stimuli, their responses are consistently delayed, requiring longer to initiate an appropriate response than their wild-type siblings. Mutant animals show abnormal adaptation in both their stimulus- evoked escape responses and exploratory dynamics following repeated stimulus presentations. Similarly delayed behavioural responses are observed in wild-type animals when faced with more ambiguous threats, suggesting the mutant phenotype could arise from a dysfunction in the flexible control of this PDM process.\r\nOur knowledge of the core neuronal circuitry mediating the LAR facilitated a detailed dissection of the neuronal mechanisms underlying the behavioural impairment. In vivo extracellular recording revealed that visual responses were unaffected within a key brain region for the rapid processing of visual threats, the superior colliculus (SC), indicating that the behavioural delay was unlikely to originate from sensory impairments. Delayed behavioural responses were recapitulated in the Setd5 model following optogenetic stimulation of the excitatory output neurons of the SC, which are known to mediate escape initiation through the activation of cells in the underlying dorsal periaqueductal grey (dPAG). In vitro patch-clamp recordings of dPAG cells uncovered a stark hypoexcitability phenotype in two out of the three genetic models investigated (Setd5 and Ptchd1), that in Setd5, is mediated by the misregulation of voltage-gated potassium channels. Overall, our results show that the ability to use visual information to drive efficient escape responses is impaired in three diverse genetic mouse models of autism and that, in one of the models studied, this behavioural delay likely originates from differences in the intrinsic excitability of a key subcortical node, the dPAG. Furthermore, this work showcases the use of an innate behavioural paradigm to mechanistically dissect PDM processes in autism.","lang":"eng"}],"author":[{"orcid":"0000-0002-8937-410X","last_name":"Burnett","full_name":"Burnett, Laura","first_name":"Laura","id":"3B717F68-F248-11E8-B48F-1D18A9856A87"}],"alternative_title":["ISTA Thesis"],"ddc":["599","573"],"doi":"10.15479/at:ista:12716","year":"2023","acknowledged_ssus":[{"_id":"PreCl"},{"_id":"Bio"},{"_id":"LifeSc"},{"_id":"M-Shop"},{"_id":"CampIT"}],"ec_funded":1,"title":"To flee, or not to flee? Using innate defensive behaviours to investigate rapid perceptual decision-making through subcortical circuits in mouse models of autism","page":"178","file_date_updated":"2023-03-08T15:08:46Z","day":"10","type":"dissertation","supervisor":[{"id":"2BD278E6-F248-11E8-B48F-1D18A9856A87","first_name":"Maximilian A","last_name":"Jösch","full_name":"Jösch, Maximilian A","orcid":"0000-0002-3937-1330"}],"status":"public","degree_awarded":"PhD","has_accepted_license":"1","department":[{"_id":"GradSch"},{"_id":"MaJö"}],"date_created":"2023-03-08T15:19:45Z","file":[{"date_created":"2023-03-08T15:08:46Z","checksum":"6c6d9cc2c4cdacb74e6b1047a34d7332","file_name":"Burnett_Thesis_2023.docx","file_size":23029260,"date_updated":"2023-03-08T15:08:46Z","access_level":"closed","creator":"lburnett","file_id":"12717","content_type":"application/vnd.openxmlformats-officedocument.wordprocessingml.document","relation":"source_file"},{"creator":"lburnett","file_id":"12718","relation":"main_file","content_type":"application/pdf","success":1,"access_level":"open_access","date_updated":"2023-03-08T15:08:46Z","checksum":"cebc77705288bf4382db9b3541483cd0","date_created":"2023-03-08T15:08:46Z","file_size":11959869,"file_name":"Burnett_Thesis_2023_pdfA.pdf"}],"month":"03","date_published":"2023-03-10T00:00:00Z","publisher":"Institute of Science and Technology Austria","language":[{"iso":"eng"}]},{"language":[{"iso":"eng"}],"publisher":"Institute of Science and Technology Austria","date_published":"2023-03-23T00:00:00Z","month":"03","file":[{"content_type":"application/pdf","relation":"main_file","description":"the main file is missing the bibliography. See new thesis record 14530 for updated files.","file_id":"12745","creator":"cchlebak","file_name":"Thesis_Riedl_2023.pdf","file_size":63734746,"date_created":"2023-03-23T12:49:23Z","checksum":"eba0e19fe57a8c15e7aeab55a845efb7","date_updated":"2023-11-24T11:57:46Z","access_level":"closed"},{"content_type":"application/octet-stream","relation":"source_file","creator":"cchlebak","file_id":"12746","file_name":"Thesis_Riedl_2023_source.rar","file_size":339473651,"date_created":"2023-03-23T12:54:34Z","checksum":"0eb7b650cc8ae843bcec7c8a6109ae03","embargo_to":"open_access","date_updated":"2023-09-24T22:30:03Z","access_level":"closed"}],"date_created":"2023-03-15T13:22:13Z","department":[{"_id":"GradSch"},{"_id":"BjHo"}],"degree_awarded":"PhD","has_accepted_license":"1","supervisor":[{"id":"3A374330-F248-11E8-B48F-1D18A9856A87","last_name":"Hof","full_name":"Hof, Björn","orcid":"0000-0003-2057-2754","first_name":"Björn"}],"status":"public","type":"dissertation","day":"23","page":"260","file_date_updated":"2023-11-24T11:57:46Z","title":"Synchronization in collectively moving active matter","acknowledged_ssus":[{"_id":"M-Shop"},{"_id":"Bio"}],"doi":"10.15479/at:ista:12726","year":"2023","ddc":["530"],"related_material":{"record":[{"id":"10703","relation":"part_of_dissertation","status":"public"},{"status":"public","id":"10791","relation":"part_of_dissertation"},{"status":"public","id":"7932","relation":"part_of_dissertation"},{"status":"public","relation":"part_of_dissertation","id":"461"},{"status":"public","id":"14530","relation":"new_edition"}]},"alternative_title":["ISTA Thesis"],"author":[{"orcid":"0000-0003-4844-6311","full_name":"Riedl, Michael","last_name":"Riedl","first_name":"Michael","id":"3BE60946-F248-11E8-B48F-1D18A9856A87"}],"abstract":[{"lang":"eng","text":"Most motions of many-body systems at any scale in nature with sufficient degrees\r\nof freedom tend to be chaotic; reaching from the orbital motion of planets, the air\r\ncurrents in our atmosphere, down to the water flowing through our pipelines or\r\nthe movement of a population of bacteria. To the observer it is therefore intriguing\r\nwhen a moving collective exhibits order. Collective motion of flocks of birds, schools\r\nof fish or swarms of self-propelled particles or robots have been studied extensively\r\nover the past decades but the mechanisms involved in the transition from chaos to\r\norder remain unclear. Here, the interactions, that in most systems give rise to chaos,\r\nsustain order. In this thesis we investigate mechanisms that preserve, destabilize\r\nor lead to the ordered state. We show that endothelial cells migrating in circular\r\nconfinements transition to a collective rotating state and concomitantly synchronize\r\nthe frequencies of nucleating actin waves within individual cells. Consequently,\r\nthe frequency dependent cell migration speed uniformizes across the population.\r\nComplementary to the WAVE dependent nucleation of traveling actin waves, we\r\nshow that in leukocytes the actin polymerization depending on WASp generates\r\npushing forces locally at stationary patches. Next, in pipe flows, we study methods\r\nto disrupt the self–sustaining cycle of turbulence and therefore relaminarize the\r\nflow. While we find in pulsating flow conditions that turbulence emerges through a\r\nhelical instability during the decelerating phase. Finally, we show quantitatively in\r\nbrain slices of mice that wild-type control neurons can compensate the migratory\r\ndeficits of a genetically modified neuronal sub–population in the developing cortex."}],"publication_status":"published","citation":{"short":"M. Riedl, Synchronization in Collectively Moving Active Matter, Institute of Science and Technology Austria, 2023.","ista":"Riedl M. 2023. Synchronization in collectively moving active matter. Institute of Science and Technology Austria.","mla":"Riedl, Michael. <i>Synchronization in Collectively Moving Active Matter</i>. Institute of Science and Technology Austria, 2023, doi:<a href=\"https://doi.org/10.15479/at:ista:12726\">10.15479/at:ista:12726</a>.","ama":"Riedl M. Synchronization in collectively moving active matter. 2023. doi:<a href=\"https://doi.org/10.15479/at:ista:12726\">10.15479/at:ista:12726</a>","chicago":"Riedl, Michael. “Synchronization in Collectively Moving Active Matter.” Institute of Science and Technology Austria, 2023. <a href=\"https://doi.org/10.15479/at:ista:12726\">https://doi.org/10.15479/at:ista:12726</a>.","apa":"Riedl, M. (2023). <i>Synchronization in collectively moving active matter</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/at:ista:12726\">https://doi.org/10.15479/at:ista:12726</a>","ieee":"M. Riedl, “Synchronization in collectively moving active matter,” Institute of Science and Technology Austria, 2023."},"user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","oa_version":"None","_id":"12726","publication_identifier":{"issn":["2663-337X"]},"date_updated":"2023-11-30T10:55:13Z","article_processing_charge":"No"},{"day":"27","type":"journal_article","intvolume":"       186","status":"public","publication":"Cell","issue":"9","file_date_updated":"2023-05-02T09:26:21Z","page":"1950-1967.e25","month":"04","article_type":"original","date_published":"2023-04-27T00:00:00Z","scopus_import":"1","publisher":"Elsevier","language":[{"iso":"eng"}],"has_accepted_license":"1","department":[{"_id":"SiHi"},{"_id":"GaNo"}],"date_created":"2023-04-05T08:15:40Z","file":[{"date_created":"2023-05-02T09:26:21Z","checksum":"47e94fbe19e86505b429cb7a5b503ce6","file_name":"2023_Cell_Knaus.pdf","file_size":15712841,"date_updated":"2023-05-02T09:26:21Z","access_level":"open_access","success":1,"file_id":"12889","creator":"dernst","content_type":"application/pdf","relation":"main_file"}],"citation":{"ama":"Knaus L, Basilico B, Malzl D, et al. Large neutral amino acid levels tune perinatal neuronal excitability and survival. <i>Cell</i>. 2023;186(9):1950-1967.e25. doi:<a href=\"https://doi.org/10.1016/j.cell.2023.02.037\">10.1016/j.cell.2023.02.037</a>","mla":"Knaus, Lisa, et al. “Large Neutral Amino Acid Levels Tune Perinatal Neuronal Excitability and Survival.” <i>Cell</i>, vol. 186, no. 9, Elsevier, 2023, p. 1950–1967.e25, doi:<a href=\"https://doi.org/10.1016/j.cell.2023.02.037\">10.1016/j.cell.2023.02.037</a>.","short":"L. Knaus, B. Basilico, D. Malzl, M. Gerykova Bujalkova, M. Smogavec, L.A. Schwarz, S. Gorkiewicz, N. Amberg, F. Pauler, C. Knittl-Frank, M. Tassinari, N. Maulide, T. Rülicke, J. Menche, S. Hippenmeyer, G. Novarino, Cell 186 (2023) 1950–1967.e25.","ista":"Knaus L, Basilico B, Malzl D, Gerykova Bujalkova M, Smogavec M, Schwarz LA, Gorkiewicz S, Amberg N, Pauler F, Knittl-Frank C, Tassinari M, Maulide N, Rülicke T, Menche J, Hippenmeyer S, Novarino G. 2023. Large neutral amino acid levels tune perinatal neuronal excitability and survival. Cell. 186(9), 1950–1967.e25.","ieee":"L. Knaus <i>et al.</i>, “Large neutral amino acid levels tune perinatal neuronal excitability and survival,” <i>Cell</i>, vol. 186, no. 9. Elsevier, p. 1950–1967.e25, 2023.","apa":"Knaus, L., Basilico, B., Malzl, D., Gerykova Bujalkova, M., Smogavec, M., Schwarz, L. A., … Novarino, G. (2023). Large neutral amino acid levels tune perinatal neuronal excitability and survival. <i>Cell</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.cell.2023.02.037\">https://doi.org/10.1016/j.cell.2023.02.037</a>","chicago":"Knaus, Lisa, Bernadette Basilico, Daniel Malzl, Maria Gerykova Bujalkova, Mateja Smogavec, Lena A. Schwarz, Sarah Gorkiewicz, et al. “Large Neutral Amino Acid Levels Tune Perinatal Neuronal Excitability and Survival.” <i>Cell</i>. Elsevier, 2023. <a href=\"https://doi.org/10.1016/j.cell.2023.02.037\">https://doi.org/10.1016/j.cell.2023.02.037</a>."},"publication_status":"published","abstract":[{"text":"Little is known about the critical metabolic changes that neural cells have to undergo during development and how temporary shifts in this program can influence brain circuitries and behavior. Inspired by the discovery that mutations in SLC7A5, a transporter of metabolically essential large neutral amino acids (LNAAs), lead to autism, we employed metabolomic profiling to study the metabolic states of the cerebral cortex across different developmental stages. We found that the forebrain undergoes significant metabolic remodeling throughout development, with certain groups of metabolites showing stage-specific changes, but what are the consequences of perturbing this metabolic program? By manipulating Slc7a5 expression in neural cells, we found that the metabolism of LNAAs and lipids are interconnected in the cortex. Deletion of Slc7a5 in neurons affects the postnatal metabolic state, leading to a shift in lipid metabolism. Additionally, it causes stage- and cell-type-specific alterations in neuronal activity patterns, resulting in a long-term circuit dysfunction.","lang":"eng"}],"author":[{"id":"3B2ABCF4-F248-11E8-B48F-1D18A9856A87","full_name":"Knaus, Lisa","last_name":"Knaus","first_name":"Lisa"},{"id":"36035796-5ACA-11E9-A75E-7AF2E5697425","first_name":"Bernadette","orcid":"0000-0003-1843-3173","last_name":"Basilico","full_name":"Basilico, Bernadette"},{"first_name":"Daniel","last_name":"Malzl","full_name":"Malzl, Daniel"},{"first_name":"Maria","last_name":"Gerykova Bujalkova","full_name":"Gerykova Bujalkova, Maria"},{"full_name":"Smogavec, Mateja","last_name":"Smogavec","first_name":"Mateja"},{"full_name":"Schwarz, Lena A.","last_name":"Schwarz","first_name":"Lena A."},{"full_name":"Gorkiewicz, Sarah","last_name":"Gorkiewicz","first_name":"Sarah","id":"f141a35d-15a9-11ec-9fb2-fef6becc7b6f"},{"id":"4CD6AAC6-F248-11E8-B48F-1D18A9856A87","first_name":"Nicole","last_name":"Amberg","full_name":"Amberg, Nicole","orcid":"0000-0002-3183-8207"},{"id":"48EA0138-F248-11E8-B48F-1D18A9856A87","first_name":"Florian","full_name":"Pauler, Florian","last_name":"Pauler","orcid":"0000-0002-7462-0048"},{"full_name":"Knittl-Frank, Christian","last_name":"Knittl-Frank","first_name":"Christian"},{"first_name":"Marianna","last_name":"Tassinari","full_name":"Tassinari, Marianna","id":"7af593f1-d44a-11ed-bf94-a3646a6bb35e"},{"first_name":"Nuno","last_name":"Maulide","full_name":"Maulide, Nuno"},{"first_name":"Thomas","last_name":"Rülicke","full_name":"Rülicke, Thomas"},{"full_name":"Menche, Jörg","last_name":"Menche","first_name":"Jörg"},{"first_name":"Simon","full_name":"Hippenmeyer, Simon","last_name":"Hippenmeyer","orcid":"0000-0003-2279-1061","id":"37B36620-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Gaia","orcid":"0000-0002-7673-7178","full_name":"Novarino, Gaia","last_name":"Novarino","id":"3E57A680-F248-11E8-B48F-1D18A9856A87"}],"keyword":["General Biochemistry","Genetics and Molecular Biology"],"article_processing_charge":"Yes (via OA deal)","volume":186,"date_updated":"2024-02-07T08:03:32Z","oa":1,"publication_identifier":{"issn":["0092-8674"]},"_id":"12802","quality_controlled":"1","project":[{"grant_number":"W1232-B24","name":"Molecular Drug Targets","_id":"2548AE96-B435-11E9-9278-68D0E5697425","call_identifier":"FWF"},{"name":"Principles of Neural Stem Cell Lineage Progression in Cerebral Cortex Development","_id":"260018B0-B435-11E9-9278-68D0E5697425","call_identifier":"H2020","grant_number":"725780"},{"_id":"25444568-B435-11E9-9278-68D0E5697425","name":"Probing the Reversibility of Autism Spectrum Disorders by Employing in vivo and in vitro Models","call_identifier":"H2020","grant_number":"715508"}],"oa_version":"Published Version","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","acknowledgement":"We thank A. Freeman and V. Voronin for technical assistance, S. Deixler, A. Stichelberger, M. Schunn, and the Preclinical Facility for managing our animal colony. We thank L. Andersen and J. Sonntag, who were involved in generating the MADM lines. We thank the ISTA LSF Mass Spectrometry Core Facility for assistance with the proteomic analysis, as well as the ISTA electron microscopy and Imaging and Optics facility for technical support. Metabolomics LC-MS/MS analysis was performed by the Metabolomics Facility at Vienna BioCenter Core Facilities (VBCF). We acknowledge the support of the EMBL Metabolomics Core Facility (MCF) for lipidomics and intracellular metabolomics mass spectrometry data acquisition and analysis. RNA sequencing was performed by the Next Generation Sequencing Facility at VBCF. Schematics were generated using Biorender.com. This work was supported by the Austrian Science Fund (FWF, DK W1232-B24) and by the European Union’s Horizon 2020 research and innovation program (ERC) grant 725780 (LinPro) to S.H. and 715508 (REVERSEAUTISM) to G.N.","doi":"10.1016/j.cell.2023.02.037","year":"2023","acknowledged_ssus":[{"_id":"PreCl"},{"_id":"EM-Fac"},{"_id":"Bio"},{"_id":"LifeSc"}],"ec_funded":1,"title":"Large neutral amino acid levels tune perinatal neuronal excitability and survival","external_id":{"isi":["000991468700001"]},"tmp":{"image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"isi":1,"related_material":{"link":[{"url":"https://ista.ac.at/en/news/feed-them-or-lose-them/","relation":"press_release","description":"News on ISTA Website"}],"record":[{"relation":"dissertation_contains","id":"13107","status":"public"}]},"ddc":["570"]},{"abstract":[{"text":"Understanding the mechanisms of learning and memory formation has always been one of\r\nthe main goals in neuroscience. Already Pavlov (1927) in his early days has used his classic\r\nconditioning experiments to study the neural mechanisms governing behavioral adaptation.\r\nWhat was not known back then was that the part of the brain that is largely responsible for\r\nthis type of associative learning is the cerebellum.\r\nSince then, plenty of theories on cerebellar learning have emerged. Despite their differences,\r\none thing they all have in common is that learning relies on synaptic and intrinsic plasticity.\r\nThe goal of my PhD project was to unravel the molecular mechanisms underlying synaptic\r\nplasticity in two synapses that have been shown to be implicated in motor learning, in an\r\neffort to understand how learning and memory formation are processed in the cerebellum.\r\nOne of the earliest and most well-known cerebellar theories postulates that motor learning\r\nlargely depends on long-term depression at the parallel fiber-Purkinje cell (PC-PC) synapse.\r\nHowever, the discovery of other types of plasticity in the cerebellar circuitry, like long-term\r\npotentiation (LTP) at the PC-PC synapse, potentiation of molecular layer interneurons (MLIs),\r\nand plasticity transfer from the cortex to the cerebellar/ vestibular nuclei has increased the\r\npopularity of the idea that multiple sites of plasticity might be involved in learning.\r\nStill a lot remains unknown about the molecular mechanisms responsible for these types of\r\nplasticity and whether they occur during physiological learning.\r\nIn the first part of this thesis we have analyzed the variation and nanodistribution of voltagegated calcium channels (VGCCs) and α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid\r\ntype glutamate receptors (AMPARs) on the parallel fiber-Purkinje cell synapse after vestibuloocular reflex phase reversal adaptation, a behavior that has been suggested to rely on PF-PC\r\nLTP. We have found that on the last day of adaptation there is no learning trace in form of\r\nVGCCs nor AMPARs variation at the PF-PC synapse, but instead a decrease in the number of\r\nPF-PC synapses. These data seem to support the view that learning is only stored in the\r\ncerebellar cortex in an initial learning phase, being transferred later to the vestibular nuclei.\r\nNext, we have studied the role of MLIs in motor learning using a relatively simple and well characterized behavioral paradigm – horizontal optokinetic reflex (HOKR) adaptation. We\r\nhave found behavior-induced MLI potentiation in form of release probability increase that\r\ncould be explained by the increase of VGCCs at the presynaptic side. Our results strengthen\r\nthe idea of distributed cerebellar plasticity contributing to learning and provide a novel\r\nmechanism for release probability increase. ","lang":"eng"}],"author":[{"id":"3A96634C-F248-11E8-B48F-1D18A9856A87","full_name":"Alcarva, Catarina","last_name":"Alcarva","first_name":"Catarina"}],"citation":{"short":"C. Alcarva, Plasticity in the Cerebellum: What Molecular Mechanisms Are behind Physiological Learning, Institute of Science and Technology Austria, 2023.","ista":"Alcarva C. 2023. Plasticity in the cerebellum: What molecular mechanisms are behind physiological learning. Institute of Science and Technology Austria.","ama":"Alcarva C. Plasticity in the cerebellum: What molecular mechanisms are behind physiological learning. 2023. doi:<a href=\"https://doi.org/10.15479/at:ista:12809\">10.15479/at:ista:12809</a>","mla":"Alcarva, Catarina. <i>Plasticity in the Cerebellum: What Molecular Mechanisms Are behind Physiological Learning</i>. Institute of Science and Technology Austria, 2023, doi:<a href=\"https://doi.org/10.15479/at:ista:12809\">10.15479/at:ista:12809</a>.","chicago":"Alcarva, Catarina. “Plasticity in the Cerebellum: What Molecular Mechanisms Are behind Physiological Learning.” Institute of Science and Technology Austria, 2023. <a href=\"https://doi.org/10.15479/at:ista:12809\">https://doi.org/10.15479/at:ista:12809</a>.","apa":"Alcarva, C. (2023). <i>Plasticity in the cerebellum: What molecular mechanisms are behind physiological learning</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/at:ista:12809\">https://doi.org/10.15479/at:ista:12809</a>","ieee":"C. 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N. "},{"orcid":"0000-0001-5001-4804","last_name":"Jonas","first_name":"Peter M","id":"353C1B58-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Gaia","last_name":"Novarino","orcid":"0000-0002-7673-7178","id":"3E57A680-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Hanspeter","last_name":"Pfister"},{"id":"49876194-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-6511-9385","last_name":"Bickel","first_name":"Bernd"}],"publisher":"Institute of Science and Technology Austria","title":"Research data for the publication \"Dense 4D nanoscale reconstruction of living brain tissue\"","date_published":"2023-05-19T00:00:00Z","acknowledged_ssus":[{"_id":"ScienComp"},{"_id":"Bio"},{"_id":"PreCl"},{"_id":"LifeSc"},{"_id":"M-Shop"},{"_id":"E-Lib"}],"year":"2023","doi":"10.15479/AT:ISTA:12817","month":"05","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","acknowledgement":"We thank J. Vorlaufer, N. Agudelo, A. Wartak for microscope maintenance and troubleshooting, C. Kreuzinger and A. Freeman for technical assistance, and M. Šuplata for hardware control support, and Márcia Cunha dos Santos for initial exploration of software. We thank Paul Henderson for advice on deep-learning training and Michael Sixt, Scott Boyd, and Tamara Weiss for discussions and critical reading of the manuscript. Luke Lavis (Janelia Research Campus) generously provided JF585-HaloTag ligand. ","oa_version":"Published Version","_id":"12817","oa":1,"date_updated":"2024-01-10T08:37:48Z","file_date_updated":"2023-05-18T19:51:52Z","article_processing_charge":"No","status":"public","author":[{"id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87","first_name":"Johann G","last_name":"Danzl","full_name":"Danzl, Johann G","orcid":"0000-0001-8559-3973"}],"abstract":[{"text":"3D-reconstruction of living brain tissue down to individual synapse level would create opportunities for decoding the dynamics and structure-function relationships of the brain’s complex and dense information processing network. However, it has been hindered by insufficient 3D-resolution, inadequate signal-to-noise-ratio, and prohibitive light burden in optical imaging, whereas electron microscopy is inherently static. Here we solved these challenges by developing an integrated optical/machine learning technology, LIONESS (Live Information-Optimized Nanoscopy Enabling Saturated Segmentation). It leverages optical modifications to stimulated emission depletion (STED) microscopy in comprehensively, extracellularly labelled tissue and prior information on sample structure via machine learning to simultaneously achieve isotropic super-resolution, high signal-to-noise-ratio, and compatibility with living tissue. This allows dense deep-learning-based instance segmentation and 3D-reconstruction at synapse level incorporating molecular, activity, and morphodynamic information. LIONESS opens up avenues for studying the dynamic functional (nano-)architecture of living brain tissue.","lang":"eng"}],"type":"research_data","citation":{"ieee":"J. G. Danzl, “Research data for the publication ‘Dense 4D nanoscale reconstruction of living brain tissue.’” Institute of Science and Technology Austria, 2023.","apa":"Danzl, J. G. (2023). Research data for the publication “Dense 4D nanoscale reconstruction of living brain tissue.” Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/AT:ISTA:12817\">https://doi.org/10.15479/AT:ISTA:12817</a>","chicago":"Danzl, Johann G. “Research Data for the Publication ‘Dense 4D Nanoscale Reconstruction of Living Brain Tissue.’” Institute of Science and Technology Austria, 2023. <a href=\"https://doi.org/10.15479/AT:ISTA:12817\">https://doi.org/10.15479/AT:ISTA:12817</a>.","ama":"Danzl JG. Research data for the publication “Dense 4D nanoscale reconstruction of living brain tissue.” 2023. doi:<a href=\"https://doi.org/10.15479/AT:ISTA:12817\">10.15479/AT:ISTA:12817</a>","mla":"Danzl, Johann G. <i>Research Data for the Publication “Dense 4D Nanoscale Reconstruction of Living Brain Tissue.”</i> Institute of Science and Technology Austria, 2023, doi:<a href=\"https://doi.org/10.15479/AT:ISTA:12817\">10.15479/AT:ISTA:12817</a>.","short":"J.G. Danzl, (2023).","ista":"Danzl JG. 2023. Research data for the publication ‘Dense 4D nanoscale reconstruction of living brain tissue’, Institute of Science and Technology Austria, <a href=\"https://doi.org/10.15479/AT:ISTA:12817\">10.15479/AT:ISTA:12817</a>."},"day":"19"},{"ddc":["570","571"],"alternative_title":["ISTA Thesis"],"tmp":{"image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"title":"Neural control of optic flow-based navigation in Drosophila melanogaster","ec_funded":1,"acknowledged_ssus":[{"_id":"Bio"},{"_id":"LifeSc"}],"doi":"10.15479/at:ista:12826","year":"2023","user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","project":[{"call_identifier":"H2020","name":"International IST Doctoral Program","_id":"2564DBCA-B435-11E9-9278-68D0E5697425","grant_number":"665385"}],"oa_version":"Published Version","_id":"12826","publication_identifier":{"issn":["2663 - 337X"]},"oa":1,"date_updated":"2023-06-23T09:47:36Z","article_processing_charge":"No","author":[{"id":"3184041C-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-7660-444X","full_name":"Pokusaeva, Victoria","last_name":"Pokusaeva","first_name":"Victoria"}],"abstract":[{"lang":"eng","text":"During navigation, animals can infer the structure of the environment by computing the optic flow cues elicited by their own movements, and subsequently use this information to instruct proper locomotor actions. These computations require a panoramic assessment of the visual environment in order to disambiguate similar sensory experiences that may require distinct behavioral responses. The estimation of the global motion patterns is therefore essential for successful navigation. Yet, our understanding of the algorithms and implementations that enable coherent panoramic visual perception remains scarce. Here I pursue this problem by dissecting the functional aspects of interneuronal communication in the lobula plate tangential cell network in Drosophila melanogaster. The results presented in the thesis demonstrate that the basis for effective interpretation of the optic flow in this circuit are stereotyped synaptic connections that mediate the formation of distinct subnetworks, each extracting a particular pattern of global motion. \r\nFirstly, I show that gap junctions are essential for a correct interpretation of binocular motion cues by horizontal motion-sensitive cells. HS cells form electrical synapses with contralateral H2 neurons that are involved in detecting yaw rotation and translation. I developed an FlpStop-mediated mutant of a gap junction protein ShakB that disrupts these electrical synapses. While the loss of electrical synapses does not affect the tuning of the direction selectivity in HS neurons, it severely alters their sensitivity to horizontal motion in the contralateral side. These physiological changes result in an inappropriate integration of binocular motion cues in walking animals. While wild-type flies form a binocular perception of visual motion by non-linear integration of monocular optic flow cues, the mutant flies sum the monocular inputs linearly. These results indicate that rather than averaging signals in neighboring neurons, gap-junctions operate in conjunction with chemical synapses to mediate complex non-linear optic flow computations.\r\nSecondly, I show that stochastic manipulation of neuronal activity in the lobula plate tangential cell network is a powerful approach to study the neuronal implementation of optic flow-based navigation in flies. Tangential neurons form multiple subnetworks, each mediating course-stabilizing response to a particular global pattern of visual motion. Application of genetic mosaic techniques can provide sparse optogenetic activation of HS cells in numerous combinations. These distinct combinations of activated neurons drive an array of distinct behavioral responses, providing important insights into how visuomotor transformation is performed in the lobula plate tangential cell network. This approach can be complemented by stochastic silencing of tangential neurons, enabling direct assessment of the functional role of individual tangential neurons in the processing of specific visual motion patterns.\r\n\tTaken together, the findings presented in this thesis suggest that establishing specific activity patterns of tangential cells via stereotyped synaptic connectivity is a key to efficient optic flow-based navigation in Drosophila melanogaster."}],"publication_status":"published","citation":{"mla":"Pokusaeva, Victoria. <i>Neural Control of Optic Flow-Based Navigation in Drosophila Melanogaster</i>. Institute of Science and Technology Austria, 2023, doi:<a href=\"https://doi.org/10.15479/at:ista:12826\">10.15479/at:ista:12826</a>.","ama":"Pokusaeva V. Neural control of optic flow-based navigation in Drosophila melanogaster. 2023. doi:<a href=\"https://doi.org/10.15479/at:ista:12826\">10.15479/at:ista:12826</a>","ista":"Pokusaeva V. 2023. Neural control of optic flow-based navigation in Drosophila melanogaster. Institute of Science and Technology Austria.","short":"V. Pokusaeva, Neural Control of Optic Flow-Based Navigation in Drosophila Melanogaster, Institute of Science and Technology Austria, 2023.","ieee":"V. Pokusaeva, “Neural control of optic flow-based navigation in Drosophila melanogaster,” Institute of Science and Technology Austria, 2023.","apa":"Pokusaeva, V. (2023). <i>Neural control of optic flow-based navigation in Drosophila melanogaster</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/at:ista:12826\">https://doi.org/10.15479/at:ista:12826</a>","chicago":"Pokusaeva, Victoria. “Neural Control of Optic Flow-Based Navigation in Drosophila Melanogaster.” Institute of Science and Technology Austria, 2023. <a href=\"https://doi.org/10.15479/at:ista:12826\">https://doi.org/10.15479/at:ista:12826</a>."},"file":[{"creator":"vpokusae","file_id":"12857","relation":"source_file","content_type":"application/vnd.openxmlformats-officedocument.wordprocessingml.document","access_level":"closed","date_updated":"2023-04-20T09:26:51Z","checksum":"5f589a9af025f7eeebfd0c186209913e","date_created":"2023-04-20T09:14:38Z","file_size":14507243,"file_name":"Thesis_Pokusaeva.docx"},{"date_updated":"2023-04-20T09:14:44Z","access_level":"open_access","date_created":"2023-04-20T09:14:44Z","checksum":"bbeed76db45a996b4c91a9abe12ce0ec","file_name":"Thesis_Pokusaeva.pdf","file_size":10090711,"creator":"vpokusae","file_id":"12858","content_type":"application/pdf","relation":"main_file","success":1}],"date_created":"2023-04-14T14:56:04Z","department":[{"_id":"MaJö"},{"_id":"GradSch"}],"degree_awarded":"PhD","has_accepted_license":"1","language":[{"iso":"eng"}],"publisher":"Institute of Science and Technology Austria","date_published":"2023-04-18T00:00:00Z","month":"04","file_date_updated":"2023-04-20T09:26:51Z","page":"106","supervisor":[{"id":"2BD278E6-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-3937-1330","last_name":"Jösch","full_name":"Jösch, Maximilian A","first_name":"Maximilian A"}],"status":"public","type":"dissertation","day":"18"},{"publication_status":"published","citation":{"mla":"Huljev, Karla, et al. “A Hydraulic Feedback Loop between Mesendoderm Cell Migration and Interstitial Fluid Relocalization Promotes Embryonic Axis Formation in Zebrafish.” <i>Developmental Cell</i>, vol. 58, no. 7, Elsevier, 2023, p. 582–596.e7, doi:<a href=\"https://doi.org/10.1016/j.devcel.2023.02.016\">10.1016/j.devcel.2023.02.016</a>.","ama":"Huljev K, Shamipour S, Nunes Pinheiro DC, et al. A hydraulic feedback loop between mesendoderm cell migration and interstitial fluid relocalization promotes embryonic axis formation in zebrafish. <i>Developmental Cell</i>. 2023;58(7):582-596.e7. doi:<a href=\"https://doi.org/10.1016/j.devcel.2023.02.016\">10.1016/j.devcel.2023.02.016</a>","short":"K. Huljev, S. Shamipour, D.C. Nunes Pinheiro, F. Preusser, I. Steccari, C.M. Sommer, S. Naik, C.-P.J. Heisenberg, Developmental Cell 58 (2023) 582–596.e7.","ista":"Huljev K, Shamipour S, Nunes Pinheiro DC, Preusser F, Steccari I, Sommer CM, Naik S, Heisenberg C-PJ. 2023. A hydraulic feedback loop between mesendoderm cell migration and interstitial fluid relocalization promotes embryonic axis formation in zebrafish. Developmental Cell. 58(7), 582–596.e7.","ieee":"K. Huljev <i>et al.</i>, “A hydraulic feedback loop between mesendoderm cell migration and interstitial fluid relocalization promotes embryonic axis formation in zebrafish,” <i>Developmental Cell</i>, vol. 58, no. 7. Elsevier, p. 582–596.e7, 2023.","apa":"Huljev, K., Shamipour, S., Nunes Pinheiro, D. C., Preusser, F., Steccari, I., Sommer, C. M., … Heisenberg, C.-P. J. (2023). A hydraulic feedback loop between mesendoderm cell migration and interstitial fluid relocalization promotes embryonic axis formation in zebrafish. <i>Developmental Cell</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.devcel.2023.02.016\">https://doi.org/10.1016/j.devcel.2023.02.016</a>","chicago":"Huljev, Karla, Shayan Shamipour, Diana C Nunes Pinheiro, Friedrich Preusser, Irene Steccari, Christoph M Sommer, Suyash Naik, and Carl-Philipp J Heisenberg. “A Hydraulic Feedback Loop between Mesendoderm Cell Migration and Interstitial Fluid Relocalization Promotes Embryonic Axis Formation in Zebrafish.” <i>Developmental Cell</i>. Elsevier, 2023. <a href=\"https://doi.org/10.1016/j.devcel.2023.02.016\">https://doi.org/10.1016/j.devcel.2023.02.016</a>."},"author":[{"id":"44C6F6A6-F248-11E8-B48F-1D18A9856A87","first_name":"Karla","last_name":"Huljev","full_name":"Huljev, Karla"},{"last_name":"Shamipour","full_name":"Shamipour, Shayan","first_name":"Shayan","id":"40B34FE2-F248-11E8-B48F-1D18A9856A87"},{"id":"2E839F16-F248-11E8-B48F-1D18A9856A87","first_name":"Diana C","full_name":"Nunes Pinheiro, Diana C","last_name":"Nunes Pinheiro","orcid":"0000-0003-4333-7503"},{"first_name":"Friedrich","last_name":"Preusser","full_name":"Preusser, Friedrich"},{"first_name":"Irene","last_name":"Steccari","full_name":"Steccari, Irene","id":"2705C766-9FE2-11EA-B224-C6773DDC885E"},{"id":"4DF26D8C-F248-11E8-B48F-1D18A9856A87","first_name":"Christoph M","orcid":"0000-0003-1216-9105","full_name":"Sommer, Christoph M","last_name":"Sommer"},{"id":"2C0B105C-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8421-5508","last_name":"Naik","full_name":"Naik, Suyash","first_name":"Suyash"},{"first_name":"Carl-Philipp J","last_name":"Heisenberg","full_name":"Heisenberg, Carl-Philipp J","orcid":"0000-0002-0912-4566","id":"39427864-F248-11E8-B48F-1D18A9856A87"}],"abstract":[{"lang":"eng","text":"Interstitial fluid (IF) accumulation between embryonic cells is thought to be important for embryo patterning and morphogenesis. Here, we identify a positive mechanical feedback loop between cell migration and IF relocalization and find that it promotes embryonic axis formation during zebrafish gastrulation. We show that anterior axial mesendoderm (prechordal plate [ppl]) cells, moving in between the yolk cell and deep cell tissue to extend the embryonic axis, compress the overlying deep cell layer, thereby causing IF to flow from the deep cell layer to the boundary between the yolk cell and the deep cell layer, directly ahead of the advancing ppl. This IF relocalization, in turn, facilitates ppl cell protrusion formation and migration by opening up the space into which the ppl moves and, thereby, the ability of the ppl to trigger IF relocalization by pushing against the overlying deep cell layer. Thus, embryonic axis formation relies on a hydraulic feedback loop between cell migration and IF relocalization."}],"date_updated":"2023-08-01T14:10:38Z","oa":1,"volume":58,"article_processing_charge":"Yes (via OA deal)","acknowledgement":"We thank Andrea Pauli (IMP) and Edouard Hannezo (ISTA) for fruitful discussions and support with the SPIM experiments; the Heisenberg group, and especially Feyza Nur Arslan and Alexandra Schauer, for discussions and feedback; Michaela Jović (ISTA) for help with the quantitative real-time PCR protocol; the bioimaging and zebrafish facilities of ISTA for continuous support; Stephan Preibisch (Janelia Research Campus) for support with the SPIM data analysis; and Nobuhiro Nakamura (Tokyo Institute of Technology) for sharing α1-Na+/K+-ATPase antibody. This work was supported by funding from the European Union (European Research Council Advanced grant 742573 to C.-P.H.), postdoctoral fellowships from EMBO (LTF-850-2017) and HFSP (LT000429/2018-L2) to D.P., and a PhD fellowship from the Studienstiftung des deutschen Volkes to F.P.","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","project":[{"call_identifier":"H2020","name":"Interaction and feedback between cell mechanics and fate specification in vertebrate gastrulation","_id":"260F1432-B435-11E9-9278-68D0E5697425","grant_number":"742573"},{"name":"Coordination of mesendoderm cell fate specification and internalization during zebrafish gastrulation","_id":"26520D1E-B435-11E9-9278-68D0E5697425","grant_number":"ALTF 850-2017"},{"grant_number":"LT000429","_id":"266BC5CE-B435-11E9-9278-68D0E5697425","name":"Coordination of mesendoderm fate specification and internalization during zebrafish gastrulation"}],"quality_controlled":"1","oa_version":"Published Version","_id":"12830","publication_identifier":{"eissn":["1878-1551"],"issn":["1534-5807"]},"ec_funded":1,"acknowledged_ssus":[{"_id":"PreCl"},{"_id":"Bio"}],"year":"2023","doi":"10.1016/j.devcel.2023.02.016","external_id":{"isi":["000982111800001"]},"title":"A hydraulic feedback loop between mesendoderm cell migration and interstitial fluid relocalization promotes embryonic axis formation in zebrafish","isi":1,"tmp":{"image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"ddc":["570"],"type":"journal_article","day":"10","status":"public","intvolume":"        58","file_date_updated":"2023-04-17T07:41:25Z","page":"582-596.e7","issue":"7","publication":"Developmental Cell","date_published":"2023-04-10T00:00:00Z","article_type":"original","month":"04","language":[{"iso":"eng"}],"publisher":"Elsevier","scopus_import":"1","department":[{"_id":"CaHe"},{"_id":"Bio"}],"has_accepted_license":"1","date_created":"2023-04-16T22:01:07Z","file":[{"checksum":"c80ca2ebc241232aacdb5aa4b4c80957","date_created":"2023-04-17T07:41:25Z","file_size":7925886,"file_name":"2023_DevelopmentalCell_Huljev.pdf","access_level":"open_access","date_updated":"2023-04-17T07:41:25Z","success":1,"creator":"dernst","file_id":"12842","relation":"main_file","content_type":"application/pdf"}]},{"file":[{"embargo_to":"open_access","date_updated":"2023-05-05T13:01:14Z","access_level":"closed","file_name":"Thesis_Schauer_final.pdf","embargo":"2024-05-05","file_size":31434230,"date_created":"2023-05-05T13:01:14Z","checksum":"59b0303dc483f40a96a610a90aab7ee9","content_type":"application/pdf","relation":"main_file","creator":"aschauer","file_id":"12907"},{"date_updated":"2023-05-05T13:04:15Z","access_level":"closed","date_created":"2023-05-05T13:04:15Z","checksum":"25f54e12479b6adaabd129a20568e6c1","file_name":"Thesis_Schauer_final.docx","file_size":43809109,"file_id":"12908","creator":"aschauer","content_type":"application/vnd.openxmlformats-officedocument.wordprocessingml.document","relation":"source_file"}],"date_created":"2023-05-05T08:48:20Z","department":[{"_id":"GradSch"},{"_id":"CaHe"}],"has_accepted_license":"1","degree_awarded":"PhD","language":[{"iso":"eng"}],"publisher":"Institute of Science and Technology Austria","date_published":"2023-05-05T00:00:00Z","month":"05","page":"190","file_date_updated":"2023-05-05T13:04:15Z","supervisor":[{"orcid":"0000-0002-0912-4566","last_name":"Heisenberg","full_name":"Heisenberg, Carl-Philipp J","first_name":"Carl-Philipp J","id":"39427864-F248-11E8-B48F-1D18A9856A87"}],"status":"public","type":"dissertation","day":"05","ddc":["570"],"related_material":{"record":[{"id":"8966","relation":"part_of_dissertation","status":"public"},{"relation":"part_of_dissertation","id":"7888","status":"public"}]},"alternative_title":["ISTA Thesis"],"title":"Mesendoderm formation in zebrafish gastrulation: The role of extraembryonic tissues","ec_funded":1,"acknowledged_ssus":[{"_id":"Bio"},{"_id":"LifeSc"}],"doi":"10.15479/at:ista:12891","year":"2023","user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","oa_version":"Published Version","project":[{"grant_number":"742573","name":"Interaction and feedback between cell mechanics and fate specification in vertebrate gastrulation","_id":"260F1432-B435-11E9-9278-68D0E5697425","call_identifier":"H2020"},{"grant_number":"25239","_id":"26B1E39C-B435-11E9-9278-68D0E5697425","name":"Mesendoderm specification in zebrafish: The role of extraembryonic tissues"}],"_id":"12891","publication_identifier":{"issn":["2663 - 337X"]},"date_updated":"2023-08-21T06:25:48Z","article_processing_charge":"No","author":[{"last_name":"Schauer","full_name":"Schauer, Alexandra","orcid":"0000-0001-7659-9142","first_name":"Alexandra","id":"30A536BA-F248-11E8-B48F-1D18A9856A87"}],"abstract":[{"text":"The tight spatiotemporal coordination of signaling activity determining embryo\r\npatterning and the physical processes driving embryo morphogenesis renders\r\nembryonic development robust, such that key developmental processes can unfold\r\nrelatively normally even outside of the full embryonic context. For instance, embryonic\r\nstem cell cultures can recapitulate the hallmarks of gastrulation, i.e. break symmetry\r\nleading to germ layer formation and morphogenesis, in a very reduced environment.\r\nThis leads to questions on specific contributions of embryo-specific features, such as\r\nthe presence of extraembryonic tissues, which are inherently involved in gastrulation\r\nin the full embryonic context. To address this, we established zebrafish embryonic\r\nexplants without the extraembryonic yolk cell, an important player as a signaling\r\nsource and for morphogenesis during gastrulation, as a model of ex vivo development.\r\nWe found that dorsal-marginal determinants are required and sufficient in these\r\nexplants to form and pattern all three germ layers. However, formation of tissues,\r\nwhich require the highest Nodal-signaling levels, is variable, demonstrating a\r\ncontribution of extraembryonic tissues for reaching peak Nodal signaling levels.\r\nBlastoderm explants also undergo gastrulation-like axis elongation. We found that this\r\nelongation movement shows hallmarks of oriented mesendoderm cell intercalations\r\ntypically associated with dorsal tissues in the intact embryo. These are disrupted by\r\nuniform upregulation of BMP signaling activity and concomitant explant ventralization,\r\nsuggesting that tight spatial control of BMP signaling is a prerequisite for explant\r\nmorphogenesis. This control is achieved by Nodal signaling, which is critical for\r\neffectively downregulating BMP signaling in the mesendoderm, highlighting that Nodal\r\nsignaling is not only directly required for mesendoderm cell fate specification and\r\nmorphogenesis, but also by maintaining low levels of BMP signaling at the dorsal side.\r\nCollectively, we provide insights into the capacity and organization of signaling and\r\nmorphogenetic domains to recapitulate features of zebrafish gastrulation outside of\r\nthe full embryonic context.","lang":"eng"}],"publication_status":"published","citation":{"ista":"Schauer A. 2023. Mesendoderm formation in zebrafish gastrulation: The role of extraembryonic tissues. Institute of Science and Technology Austria.","short":"A. Schauer, Mesendoderm Formation in Zebrafish Gastrulation: The Role of Extraembryonic Tissues, Institute of Science and Technology Austria, 2023.","mla":"Schauer, Alexandra. <i>Mesendoderm Formation in Zebrafish Gastrulation: The Role of Extraembryonic Tissues</i>. Institute of Science and Technology Austria, 2023, doi:<a href=\"https://doi.org/10.15479/at:ista:12891\">10.15479/at:ista:12891</a>.","ama":"Schauer A. Mesendoderm formation in zebrafish gastrulation: The role of extraembryonic tissues. 2023. doi:<a href=\"https://doi.org/10.15479/at:ista:12891\">10.15479/at:ista:12891</a>","chicago":"Schauer, Alexandra. “Mesendoderm Formation in Zebrafish Gastrulation: The Role of Extraembryonic Tissues.” Institute of Science and Technology Austria, 2023. <a href=\"https://doi.org/10.15479/at:ista:12891\">https://doi.org/10.15479/at:ista:12891</a>.","ieee":"A. Schauer, “Mesendoderm formation in zebrafish gastrulation: The role of extraembryonic tissues,” Institute of Science and Technology Austria, 2023.","apa":"Schauer, A. (2023). <i>Mesendoderm formation in zebrafish gastrulation: The role of extraembryonic tissues</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/at:ista:12891\">https://doi.org/10.15479/at:ista:12891</a>"}},{"language":[{"iso":"eng"}],"publisher":"Springer Nature","scopus_import":"1","date_published":"2023-04-28T00:00:00Z","month":"04","date_created":"2023-05-22T08:41:48Z","department":[{"_id":"MiSi"},{"_id":"NanoFab"}],"status":"public","intvolume":"      2654","type":"book_chapter","series_title":"MIMB","day":"28","page":"137-147","publication":"The Immune Synapse","title":"En-Face Imaging of T Cell-Dendritic Cell Immunological Synapses","external_id":{"pmid":["37106180"]},"ec_funded":1,"acknowledged_ssus":[{"_id":"Bio"},{"_id":"NanoFab"},{"_id":"M-Shop"}],"place":"New York, NY","doi":"10.1007/978-1-0716-3135-5_9","year":"2023","alternative_title":["Methods in Molecular Biology"],"author":[{"first_name":"Alexander F","full_name":"Leithner, Alexander F","last_name":"Leithner","orcid":"0000-0002-1073-744X","id":"3B1B77E4-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Jack","full_name":"Merrin, Jack","last_name":"Merrin","orcid":"0000-0001-5145-4609","id":"4515C308-F248-11E8-B48F-1D18A9856A87"},{"id":"41E9FBEA-F248-11E8-B48F-1D18A9856A87","last_name":"Sixt","full_name":"Sixt, Michael K","orcid":"0000-0002-6620-9179","first_name":"Michael K"}],"abstract":[{"lang":"eng","text":"Imaging of the immunological synapse (IS) between dendritic cells (DCs) and T cells in suspension is hampered by suboptimal alignment of cell-cell contacts along the vertical imaging plane. This requires optical sectioning that often results in unsatisfactory resolution in time and space. Here, we present a workflow where DCs and T cells are confined between a layer of glass and polydimethylsiloxane (PDMS) that orients the cells along one, horizontal imaging plane, allowing for fast en-face-imaging of the DC-T cell IS."}],"publication_status":"published","citation":{"mla":"Leithner, Alexander F., et al. “En-Face Imaging of T Cell-Dendritic Cell Immunological Synapses.” <i>The Immune Synapse</i>, edited by Cosima Baldari and Michael Dustin, vol. 2654, Springer Nature, 2023, pp. 137–47, doi:<a href=\"https://doi.org/10.1007/978-1-0716-3135-5_9\">10.1007/978-1-0716-3135-5_9</a>.","ama":"Leithner AF, Merrin J, Sixt MK. En-Face Imaging of T Cell-Dendritic Cell Immunological Synapses. In: Baldari C, Dustin M, eds. <i>The Immune Synapse</i>. Vol 2654. MIMB. New York, NY: Springer Nature; 2023:137-147. doi:<a href=\"https://doi.org/10.1007/978-1-0716-3135-5_9\">10.1007/978-1-0716-3135-5_9</a>","ista":"Leithner AF, Merrin J, Sixt MK. 2023.En-Face Imaging of T Cell-Dendritic Cell Immunological Synapses. In: The Immune Synapse. Methods in Molecular Biology, vol. 2654, 137–147.","short":"A.F. Leithner, J. Merrin, M.K. Sixt, in:, C. Baldari, M. Dustin (Eds.), The Immune Synapse, Springer Nature, New York, NY, 2023, pp. 137–147.","ieee":"A. F. Leithner, J. Merrin, and M. K. Sixt, “En-Face Imaging of T Cell-Dendritic Cell Immunological Synapses,” in <i>The Immune Synapse</i>, vol. 2654, C. Baldari and M. Dustin, Eds. New York, NY: Springer Nature, 2023, pp. 137–147.","apa":"Leithner, A. F., Merrin, J., &#38; Sixt, M. K. (2023). En-Face Imaging of T Cell-Dendritic Cell Immunological Synapses. In C. Baldari &#38; M. Dustin (Eds.), <i>The Immune Synapse</i> (Vol. 2654, pp. 137–147). New York, NY: Springer Nature. <a href=\"https://doi.org/10.1007/978-1-0716-3135-5_9\">https://doi.org/10.1007/978-1-0716-3135-5_9</a>","chicago":"Leithner, Alexander F, Jack Merrin, and Michael K Sixt. “En-Face Imaging of T Cell-Dendritic Cell Immunological Synapses.” In <i>The Immune Synapse</i>, edited by Cosima Baldari and Michael Dustin, 2654:137–47. MIMB. New York, NY: Springer Nature, 2023. <a href=\"https://doi.org/10.1007/978-1-0716-3135-5_9\">https://doi.org/10.1007/978-1-0716-3135-5_9</a>."},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","acknowledgement":"A.L. was funded by an Erwin Schrödinger postdoctoral fellowship of the Austrian Science Fund (FWF, project number: J4542-B) and is an EMBO non-stipendiary postdoctoral fellow. This work was supported by a European Research Council grant ERC-CoG-72437 to M.S. We thank the Imaging & Optics facility, the Nanofabrication facility, and the Miba Machine Shop of ISTA for their excellent support.","project":[{"grant_number":"724373","_id":"25FE9508-B435-11E9-9278-68D0E5697425","name":"Cellular navigation along spatial gradients","call_identifier":"H2020"}],"quality_controlled":"1","oa_version":"None","_id":"13052","pmid":1,"publication_identifier":{"eissn":["1940-6029"],"eisbn":["9781071631355"],"issn":["1064-3745"],"isbn":["9781071631348"]},"volume":2654,"date_updated":"2023-10-17T08:44:53Z","article_processing_charge":"No","editor":[{"first_name":"Cosima","last_name":"Baldari","full_name":"Baldari, Cosima"},{"first_name":"Michael","full_name":"Dustin, Michael","last_name":"Dustin"}]}]