[{"project":[{"grant_number":"P31445","_id":"26736D6A-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","name":"Structural conservation and diversity in retroviral capsid"}],"publisher":"Springer Nature","date_published":"2024-02-05T00:00:00Z","department":[{"_id":"FlSc"},{"_id":"ScienComp"},{"_id":"EM-Fac"}],"quality_controlled":"1","publication_status":"epub_ahead","ddc":["570"],"tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"external_id":{"pmid":["38316877"]},"abstract":[{"text":"Poxviruses are among the largest double-stranded DNA viruses, with members such as variola virus, monkeypox virus and the vaccination strain vaccinia virus (VACV). Knowledge about the structural proteins that form the viral core has remained sparse. While major core proteins have been annotated via indirect experimental evidence, their structures have remained elusive and they could not be assigned to individual core features. Hence, which proteins constitute which layers of the core, such as the palisade layer and the inner core wall, has remained enigmatic. Here we show, using a multi-modal cryo-electron microscopy (cryo-EM) approach in combination with AlphaFold molecular modeling, that trimers formed by the cleavage product of VACV protein A10 are the key component of the palisade layer. This allows us to place previously obtained descriptions of protein interactions within the core wall into perspective and to provide a detailed model of poxvirus core architecture. Importantly, we show that interactions within A10 trimers are likely generalizable over members of orthopox- and parapoxviruses.","lang":"eng"}],"_id":"14979","article_type":"original","acknowledged_ssus":[{"_id":"ScienComp"},{"_id":"LifeSc"},{"_id":"EM-Fac"}],"doi":"10.1038/s41594-023-01201-6","acknowledgement":"We thank A. Bergthaler (Research Center for Molecular Medicine of the Austrian Academy of Sciences) for providing VACV WR. We thank A. Nicholas and his team at the ISTA proteomics facility, and S. Elefante at the ISTA Scientific Computing facility for their support. We also thank F. Fäßler, D. Porley, T. Muthspiel and other members of the Schur group for support and helpful discussions. We also thank D. Castaño-Díez for support with Dynamo. We thank D. Farrell for his help optimizing the Rosetta protocol to refine the atomic model into the cryo-EM map with symmetry.\r\n\r\nF.K.M.S. acknowledges support from ISTA and EMBO. F.K.M.S. also received support from the Austrian Science Fund (FWF) grant P31445. This publication has been made possible in part by CZI grant DAF2021-234754 and grant https://doi.org/10.37921/812628ebpcwg from the Chan Zuckerberg Initiative DAF, an advised fund of Silicon Valley Community Foundation (funder https://doi.org/10.13039/100014989) awarded to F.K.M.S.\r\n\r\nThis research was also supported by the Scientific Service Units (SSUs) of ISTA through resources provided by Scientific Computing (SciComp), the Life Science Facility (LSF), and the Electron Microscopy Facility (EMF). We also acknowledge the use of COSMIC45 and Colabfold46.","year":"2024","citation":{"apa":"Datler, J., Hansen, J., Thader, A., Schlögl, A., Bauer, L. W., Hodirnau, V.-V., &#38; Schur, F. K. (2024). Multi-modal cryo-EM reveals trimers of protein A10 to form the palisade layer in poxvirus cores. <i>Nature Structural &#38; Molecular Biology</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41594-023-01201-6\">https://doi.org/10.1038/s41594-023-01201-6</a>","chicago":"Datler, Julia, Jesse Hansen, Andreas Thader, Alois Schlögl, Lukas W Bauer, Victor-Valentin Hodirnau, and Florian KM Schur. “Multi-Modal Cryo-EM Reveals Trimers of Protein A10 to Form the Palisade Layer in Poxvirus Cores.” <i>Nature Structural &#38; Molecular Biology</i>. Springer Nature, 2024. <a href=\"https://doi.org/10.1038/s41594-023-01201-6\">https://doi.org/10.1038/s41594-023-01201-6</a>.","mla":"Datler, Julia, et al. “Multi-Modal Cryo-EM Reveals Trimers of Protein A10 to Form the Palisade Layer in Poxvirus Cores.” <i>Nature Structural &#38; Molecular Biology</i>, Springer Nature, 2024, doi:<a href=\"https://doi.org/10.1038/s41594-023-01201-6\">10.1038/s41594-023-01201-6</a>.","ista":"Datler J, Hansen J, Thader A, Schlögl A, Bauer LW, Hodirnau V-V, Schur FK. 2024. Multi-modal cryo-EM reveals trimers of protein A10 to form the palisade layer in poxvirus cores. Nature Structural &#38; Molecular Biology.","short":"J. Datler, J. Hansen, A. Thader, A. Schlögl, L.W. Bauer, V.-V. Hodirnau, F.K. Schur, Nature Structural &#38; Molecular Biology (2024).","ieee":"J. Datler <i>et al.</i>, “Multi-modal cryo-EM reveals trimers of protein A10 to form the palisade layer in poxvirus cores,” <i>Nature Structural &#38; Molecular Biology</i>. Springer Nature, 2024.","ama":"Datler J, Hansen J, Thader A, et al. Multi-modal cryo-EM reveals trimers of protein A10 to form the palisade layer in poxvirus cores. <i>Nature Structural &#38; Molecular Biology</i>. 2024. doi:<a href=\"https://doi.org/10.1038/s41594-023-01201-6\">10.1038/s41594-023-01201-6</a>"},"date_created":"2024-02-12T09:59:45Z","keyword":["Molecular Biology","Structural Biology"],"related_material":{"link":[{"relation":"press_release","url":"https://ista.ac.at/en/news/down-to-the-core-of-poxviruses/","description":"News on ISTA Website"}]},"pmid":1,"type":"journal_article","status":"public","author":[{"first_name":"Julia","full_name":"Datler, Julia","id":"3B12E2E6-F248-11E8-B48F-1D18A9856A87","last_name":"Datler","orcid":"0000-0002-3616-8580"},{"first_name":"Jesse","full_name":"Hansen, Jesse","last_name":"Hansen","id":"1063c618-6f9b-11ec-9123-f912fccded63"},{"id":"3A18A7B8-F248-11E8-B48F-1D18A9856A87","last_name":"Thader","full_name":"Thader, Andreas","first_name":"Andreas"},{"full_name":"Schlögl, Alois","first_name":"Alois","orcid":"0000-0002-5621-8100","last_name":"Schlögl","id":"45BF87EE-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Lukas W","full_name":"Bauer, Lukas W","last_name":"Bauer","id":"0c894dcf-897b-11ed-a09c-8186353224b0"},{"full_name":"Hodirnau, Victor-Valentin","first_name":"Victor-Valentin","last_name":"Hodirnau","id":"3661B498-F248-11E8-B48F-1D18A9856A87"},{"id":"48AD8942-F248-11E8-B48F-1D18A9856A87","last_name":"Schur","orcid":"0000-0003-4790-8078","full_name":"Schur, Florian KM","first_name":"Florian KM"}],"month":"02","publication_identifier":{"issn":["1545-9993"],"eissn":["1545-9985"]},"oa_version":"Published Version","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1038/s41594-023-01201-6"}],"day":"05","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","language":[{"iso":"eng"}],"publication":"Nature Structural & Molecular Biology","date_updated":"2024-03-05T09:27:47Z","oa":1,"article_processing_charge":"Yes (in subscription journal)","title":"Multi-modal cryo-EM reveals trimers of protein A10 to form the palisade layer in poxvirus cores","has_accepted_license":"1"},{"has_accepted_license":"1","article_processing_charge":"No","oa":1,"date_updated":"2025-06-30T13:21:09Z","title":"Genetic information and biological optimization","language":[{"iso":"eng"}],"month":"02","publication_identifier":{"issn":["2663 - 337X"]},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","file":[{"checksum":"b2d3da47c98d481577a4baf68944fe41","file_name":"hledik thesis pdfa 2b.pdf","file_id":"15021","success":1,"date_updated":"2024-02-23T13:50:53Z","date_created":"2024-02-23T13:50:53Z","creator":"mhledik","relation":"main_file","access_level":"open_access","content_type":"application/pdf","file_size":7102089},{"file_size":14014790,"access_level":"closed","content_type":"application/zip","relation":"source_file","creator":"mhledik","date_updated":"2024-02-23T14:20:16Z","date_created":"2024-02-23T13:50:54Z","file_name":"hledik thesis source.zip","file_id":"15022","checksum":"eda9b9430da2610fee7ce1c1419a479a"}],"day":"23","oa_version":"Published Version","author":[{"full_name":"Hledik, Michal","first_name":"Michal","last_name":"Hledik","id":"4171253A-F248-11E8-B48F-1D18A9856A87"}],"type":"dissertation","status":"public","alternative_title":["ISTA Thesis"],"related_material":{"record":[{"status":"public","id":"7553","relation":"part_of_dissertation"},{"id":"7606","relation":"part_of_dissertation","status":"public"},{"id":"12081","relation":"part_of_dissertation","status":"public"}]},"ec_funded":1,"year":"2024","keyword":["Theoretical biology","Optimality","Evolution","Information"],"citation":{"apa":"Hledik, M. (2024). <i>Genetic information and biological optimization</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/at:ista:15020\">https://doi.org/10.15479/at:ista:15020</a>","mla":"Hledik, Michal. <i>Genetic Information and Biological Optimization</i>. Institute of Science and Technology Austria, 2024, doi:<a href=\"https://doi.org/10.15479/at:ista:15020\">10.15479/at:ista:15020</a>.","chicago":"Hledik, Michal. “Genetic Information and Biological Optimization.” Institute of Science and Technology Austria, 2024. <a href=\"https://doi.org/10.15479/at:ista:15020\">https://doi.org/10.15479/at:ista:15020</a>.","ista":"Hledik M. 2024. Genetic information and biological optimization. Institute of Science and Technology Austria.","ieee":"M. Hledik, “Genetic information and biological optimization,” Institute of Science and Technology Austria, 2024.","ama":"Hledik M. Genetic information and biological optimization. 2024. doi:<a href=\"https://doi.org/10.15479/at:ista:15020\">10.15479/at:ista:15020</a>","short":"M. Hledik, Genetic Information and Biological Optimization, Institute of Science and Technology Austria, 2024."},"date_created":"2024-02-23T14:02:04Z","doi":"10.15479/at:ista:15020","_id":"15020","file_date_updated":"2024-02-23T14:20:16Z","acknowledged_ssus":[{"_id":"ScienComp"}],"ddc":["576","519"],"abstract":[{"lang":"eng","text":"This thesis consists of four distinct pieces of work within theoretical biology, with two themes in common: the concept of optimization in biological systems, and the use of information-theoretic tools to quantify biological stochasticity and statistical uncertainty.\r\nChapter 2 develops a statistical framework for studying biological systems which we believe to be optimized for a particular utility function, such as retinal neurons conveying information about visual stimuli. We formalize such beliefs as maximum-entropy Bayesian priors, constrained by the expected utility. We explore how such priors aid inference of system parameters with limited data and enable optimality hypothesis testing: is the utility higher than by chance?\r\nChapter 3 examines the ultimate biological optimization process: evolution by natural selection. As some individuals survive and reproduce more successfully than others, populations evolve towards fitter genotypes and phenotypes. We formalize this as accumulation of genetic information, and use population genetics theory to study how much such information can be accumulated per generation and maintained in the face of random mutation and genetic drift. We identify the population size and fitness variance as the key quantities that control information accumulation and maintenance.\r\nChapter 4 reuses the concept of genetic information from Chapter 3, but from a different perspective: we ask how much genetic information organisms actually need, in particular in the context of gene regulation. For example, how much information is needed to bind transcription factors at correct locations within the genome? Population genetics provides us with a refined answer: with an increasing population size, populations achieve higher fitness by maintaining more genetic information. Moreover, regulatory parameters experience selection pressure to optimize the fitness-information trade-off, i.e. minimize the information needed for a given fitness. This provides an evolutionary derivation of the optimization priors introduced in Chapter 2.\r\nChapter 5 proves an upper bound on mutual information between a signal and a communication channel output (such as neural activity). Mutual information is an important utility measure for biological systems, but its practical use can be difficult due to the large dimensionality of many biological channels. Sometimes, a lower bound on mutual information is computed by replacing the high-dimensional channel outputs with decodes (signal estimates). Our result provides a corresponding upper bound, provided that the decodes are the maximum posterior estimates of the signal."}],"publication_status":"published","date_published":"2024-02-23T00:00:00Z","supervisor":[{"first_name":"Nicholas H","full_name":"Barton, Nicholas H","orcid":"0000-0002-8548-5240","last_name":"Barton","id":"4880FE40-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Gašper","full_name":"Tkačik, Gašper","orcid":"0000-0002-6699-1455","id":"3D494DCA-F248-11E8-B48F-1D18A9856A87","last_name":"Tkačik"}],"publisher":"Institute of Science and Technology Austria","page":"158","department":[{"_id":"GradSch"},{"_id":"NiBa"},{"_id":"GaTk"}],"project":[{"call_identifier":"H2020","name":"International IST Doctoral Program","grant_number":"665385","_id":"2564DBCA-B435-11E9-9278-68D0E5697425"},{"_id":"2665AAFE-B435-11E9-9278-68D0E5697425","grant_number":"RGP0034/2018","name":"Can evolution minimize spurious signaling crosstalk to reach optimal performance?"},{"name":"Understanding the evolution of continuous genomes","_id":"bd6958e0-d553-11ed-ba76-86eba6a76c00","grant_number":"101055327"}]},{"language":[{"iso":"eng"}],"publication":"Science Advances","date_updated":"2026-05-21T07:36:27Z","oa":1,"article_processing_charge":"No","issue":"3","title":"ArpC5 isoforms regulate Arp2/3 complex–dependent protrusion through differential Ena/VASP positioning","isi":1,"has_accepted_license":"1","intvolume":"         9","scopus_import":"1","type":"journal_article","status":"public","author":[{"orcid":"0000-0001-7149-769X","id":"404F5528-F248-11E8-B48F-1D18A9856A87","last_name":"Fäßler","full_name":"Fäßler, Florian","first_name":"Florian"},{"full_name":"Javoor, Manjunath","first_name":"Manjunath","id":"305ab18b-dc7d-11ea-9b2f-b58195228ea2","last_name":"Javoor"},{"first_name":"Julia","full_name":"Datler, Julia","id":"3B12E2E6-F248-11E8-B48F-1D18A9856A87","last_name":"Datler","orcid":"0000-0002-3616-8580"},{"last_name":"Döring","first_name":"Hermann","full_name":"Döring, Hermann"},{"first_name":"Florian","full_name":"Hofer, Florian","id":"b9d234ba-9e33-11ed-95b6-cd561df280e6","last_name":"Hofer"},{"full_name":"Dimchev, Georgi A","first_name":"Georgi A","last_name":"Dimchev","id":"38C393BE-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8370-6161"},{"full_name":"Hodirnau, Victor-Valentin","first_name":"Victor-Valentin","id":"3661B498-F248-11E8-B48F-1D18A9856A87","last_name":"Hodirnau"},{"full_name":"Faix, Jan","first_name":"Jan","last_name":"Faix"},{"full_name":"Rottner, Klemens","first_name":"Klemens","last_name":"Rottner"},{"full_name":"Schur, Florian KM","first_name":"Florian KM","orcid":"0000-0003-4790-8078","id":"48AD8942-F248-11E8-B48F-1D18A9856A87","last_name":"Schur"}],"month":"01","publication_identifier":{"issn":["2375-2548"]},"day":"20","oa_version":"Published Version","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","file":[{"creator":"dernst","access_level":"open_access","content_type":"application/pdf","relation":"main_file","file_size":1756234,"file_name":"2023_ScienceAdvances_Faessler.pdf","file_id":"12335","checksum":"ce81a6d0b84170e5e8c62f6acfa15d9e","success":1,"date_updated":"2023-01-23T07:45:54Z","date_created":"2023-01-23T07:45:54Z"}],"file_date_updated":"2023-01-23T07:45:54Z","_id":"12334","article_type":"original","acknowledged_ssus":[{"_id":"ScienComp"},{"_id":"LifeSc"},{"_id":"Bio"},{"_id":"EM-Fac"}],"doi":"10.1126/sciadv.add6495","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.","year":"2023","date_created":"2023-01-23T07:26:42Z","citation":{"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>","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.","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).","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>.","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."},"keyword":["Multidisciplinary"],"article_number":"add6495","related_material":{"record":[{"relation":"research_data","id":"14562","status":"for_moderation"}]},"project":[{"name":"Structure and isoform diversity of the Arp2/3 complex","grant_number":"P33367","_id":"9B954C5C-BA93-11EA-9121-9846C619BF3A"}],"publisher":"American Association for the Advancement of Science","date_published":"2023-01-20T00:00:00Z","department":[{"_id":"FlSc"},{"_id":"EM-Fac"}],"quality_controlled":"1","volume":9,"publication_status":"published","ddc":["570"],"tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"external_id":{"isi":["000964550100015"]},"abstract":[{"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>","lang":"eng"}]},{"doi":"10.1038/s41593-023-01280-0","acknowledged_ssus":[{"_id":"ScienComp"},{"_id":"PreCl"},{"_id":"LifeSc"},{"_id":"Bio"}],"_id":"12349","article_type":"original","file_date_updated":"2023-10-04T11:40:51Z","related_material":{"record":[{"status":"public","id":"12370","relation":"research_data"}]},"ec_funded":1,"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.","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>","short":"D. Gupta, W.F. Mlynarski, A.L. Sumser, O. Symonova, J. Svaton, M.A. Jösch, Nature Neuroscience 26 (2023) 606–614.","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>.","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>.","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.","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>"},"date_created":"2023-01-23T14:14:19Z","year":"2023","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).","volume":26,"quality_controlled":"1","department":[{"_id":"GradSch"},{"_id":"MaJö"}],"page":"606-614","date_published":"2023-04-01T00:00:00Z","publisher":"Springer Nature","project":[{"name":"International IST Doctoral Program","call_identifier":"H2020","_id":"2564DBCA-B435-11E9-9278-68D0E5697425","grant_number":"665385"},{"name":"Efficient coding with biophysical realism","_id":"626c45b5-2b32-11ec-9570-e509828c1ba6","grant_number":"P34015"},{"_id":"2634E9D2-B435-11E9-9278-68D0E5697425","grant_number":"756502","call_identifier":"H2020","name":"Circuits of Visual Attention"},{"_id":"266D407A-B435-11E9-9278-68D0E5697425","grant_number":"LT000256","name":"Neuronal networks of salience and spatial detection in the murine superior colliculus"},{"_id":"264FEA02-B435-11E9-9278-68D0E5697425","grant_number":"ALTF 1098-2017","name":"Connecting sensory with motor processing in the superior colliculus"}],"abstract":[{"lang":"eng","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. 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Thesis"],"year":"2023","date_created":"2023-01-31T15:10:53Z","citation":{"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>","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.","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.","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>.","ista":"Michalska JM. 2023. A versatile toolbox for the comprehensive analysis of nervous tissue organization with light microscopy. Institute of Science and Technology Austria.","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>.","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>"},"degree_awarded":"PhD","related_material":{"record":[{"status":"public","relation":"part_of_dissertation","id":"11943"},{"id":"11950","relation":"part_of_dissertation","status":"public"}]},"ec_funded":1,"_id":"12470","file_date_updated":"2023-07-27T22:30:54Z","acknowledged_ssus":[{"_id":"Bio"},{"_id":"LifeSc"},{"_id":"PreCl"},{"_id":"EM-Fac"},{"_id":"M-Shop"},{"_id":"ScienComp"}],"doi":"10.15479/at:ista:12470","publication_status":"published","tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"ddc":["610"],"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"}],"project":[{"call_identifier":"H2020","name":"International IST Doctoral Program","_id":"2564DBCA-B435-11E9-9278-68D0E5697425","grant_number":"665385"},{"name":"Molecular Drug Targets","call_identifier":"FWF","grant_number":"W1232-B24","_id":"26AA4EF2-B435-11E9-9278-68D0E5697425"}],"supervisor":[{"first_name":"Johann G","full_name":"Danzl, Johann G","last_name":"Danzl","id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8559-3973"}],"date_published":"2023-01-09T00:00:00Z","publisher":"Institute of Science and Technology Austria","department":[{"_id":"GradSch"},{"_id":"JoDa"}],"page":"201"},{"year":"2023","citation":{"short":"P. Brighi, Ergodicity Breaking in Disordered and Kinetically Constrained Quantum Many-Body Systems, Institute of Science and Technology Austria, 2023.","ieee":"P. Brighi, “Ergodicity breaking in disordered and kinetically constrained quantum many-body systems,” Institute of Science and Technology Austria, 2023.","ama":"Brighi P. Ergodicity breaking in disordered and kinetically constrained quantum many-body systems. 2023. doi:<a href=\"https://doi.org/10.15479/at:ista:12732\">10.15479/at:ista:12732</a>","ista":"Brighi P. 2023. Ergodicity breaking in disordered and kinetically constrained quantum many-body systems. Institute of Science and Technology Austria.","chicago":"Brighi, Pietro. “Ergodicity Breaking in Disordered and Kinetically Constrained Quantum Many-Body Systems.” Institute of Science and Technology Austria, 2023. <a href=\"https://doi.org/10.15479/at:ista:12732\">https://doi.org/10.15479/at:ista:12732</a>.","mla":"Brighi, Pietro. <i>Ergodicity Breaking in Disordered and Kinetically Constrained Quantum Many-Body Systems</i>. Institute of Science and Technology Austria, 2023, doi:<a href=\"https://doi.org/10.15479/at:ista:12732\">10.15479/at:ista:12732</a>.","apa":"Brighi, P. (2023). <i>Ergodicity breaking in disordered and kinetically constrained quantum many-body systems</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/at:ista:12732\">https://doi.org/10.15479/at:ista:12732</a>"},"date_created":"2023-03-17T13:30:48Z","ec_funded":1,"degree_awarded":"PhD","related_material":{"record":[{"status":"public","relation":"part_of_dissertation","id":"11470"},{"relation":"part_of_dissertation","id":"8308","status":"public"},{"id":"11469","relation":"part_of_dissertation","status":"public"},{"status":"public","id":"12750","relation":"part_of_dissertation"}]},"file_date_updated":"2023-03-23T16:43:14Z","_id":"12732","acknowledged_ssus":[{"_id":"ScienComp"}],"doi":"10.15479/at:ista:12732","publication_status":"published","ddc":["530"],"tmp":{"image":"/images/cc_by_nc_sa.png","legal_code_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode","name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","short":"CC BY-NC-SA (4.0)"},"abstract":[{"lang":"eng","text":"Nonergodic systems, whose out-of-equilibrium dynamics fail to thermalize, provide a fascinating research direction both for fundamental reasons and for application in state of the art quantum devices.\r\nGoing beyond the description of statistical mechanics, ergodicity breaking yields a new paradigm in quantum many-body physics, introducing novel phases of matter with no counterpart at equilibrium.\r\nIn this Thesis, we address different open questions in the field, focusing on disorder-induced many-body localization (MBL) and on weak ergodicity breaking in kinetically constrained models.\r\nIn particular, we contribute to the debate about transport in kinetically constrained models, studying the effect of $U(1)$ conservation and inversion-symmetry breaking in a family of quantum East models.\r\nUsing tensor network techniques, we analyze the dynamics of large MBL systems beyond the limit of exact numerical methods.\r\nIn this setting, we approach the debated topic of the coexistence of localized and thermal eigenstates separated by energy thresholds known as many-body mobility edges.\r\nInspired by recent experiments, our work further investigates the localization of a small bath induced by the coupling to a large localized chain, the so-called MBL proximity effect.\r\n\r\nIn the first Chapter, we introduce a family of particle-conserving kinetically constrained models, inspired by the quantum East model.\r\nThe system we study features strong inversion-symmetry breaking, due to the nature of the correlated hopping.\r\nWe show that these models host so-called quantum Hilbert space fragmentation, consisting of disconnected subsectors in an entangled basis, and further provide an analytical description of this phenomenon.\r\nWe further probe its effect on dynamics of simple product states, showing revivals in fidelity and local observalbes.\r\nThe study of dynamics within the largest subsector reveals an anomalous transient superdiffusive behavior crossing over to slow logarithmic dynamics at later times.\r\nThis work suggests that particle conserving constrained models with inversion-symmetry breaking realize new universality classes of dynamics and invite their further theoretical and experimental studies.\r\n\r\nNext, we use kinetic constraints and disorder to design a model with many-body mobility edges in particle density.\r\nThis feature allows to study the dynamics of localized and thermal states in large systems beyond the limitations of previous studies.\r\nThe time-evolution shows typical signatures of localization at small densities, replaced by thermal behavior at larger densities.\r\nOur results provide evidence in favor of the stability of many-body mobility edges, which was recently challenged by a theoretical argument.\r\nTo support our findings, we probe the mechanism proposed as a cause of delocalization in many-body localized systems with mobility edges suggesting its ineffectiveness in the model studied.\r\n\r\nIn the last Chapter of this Thesis, we address the topic of many-body localization proximity effect.\r\nWe study a model inspired by recent experiments, featuring Anderson localized coupled to a small bath of free hard-core bosons.\r\nThe interaction among the two particle species results in non-trivial dynamics, which we probe using tensor network techniques.\r\nOur simulations show convincing evidence of many-body localization proximity effect when the bath is composed by a single free particle and interactions are strong.\r\nWe furthter observe an anomalous entanglement dynamics, which we explain through a phenomenological theory.\r\nFinally, we extract highly excited eigenstates of large systems, providing supplementary evidence in favor of our findings."}],"project":[{"_id":"23841C26-32DE-11EA-91FC-C7463DDC885E","grant_number":"850899","call_identifier":"H2020","name":"Non-Ergodic Quantum Matter: Universality, Dynamics and Control"}],"publisher":"Institute of Science and Technology 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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."}],"ddc":["570"],"tmp":{"short":"CC BY-SA (4.0)","name":"Creative Commons Attribution-ShareAlike 4.0 International Public License (CC BY-SA 4.0)","legal_code_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","image":"/images/cc_by_sa.png"},"month":"05","department":[{"_id":"JoDa"}],"publisher":"Institute of Science and Technology Austria","license":"https://creativecommons.org/licenses/by-sa/4.0/","type":"research_data","date_published":"2023-05-19T00:00:00Z","status":"public","citation":{"short":"J.G. Danzl, (2023).","ieee":"J. G. Danzl, “Research data for the publication ‘Dense 4D nanoscale reconstruction of living brain tissue.’” Institute of Science and Technology Austria, 2023.","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>.","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>.","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>.","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>"},"title":"Research data for the publication \"Dense 4D nanoscale reconstruction of living brain tissue\"","date_created":"2023-04-07T11:37:40Z","date_updated":"2024-01-10T08:37:48Z","oa":1,"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. ","article_processing_charge":"No","year":"2023","related_material":{"record":[{"relation":"used_in_publication","id":"13267","status":"public"}]},"has_accepted_license":"1","acknowledged_ssus":[{"_id":"ScienComp"},{"_id":"Bio"},{"_id":"PreCl"},{"_id":"LifeSc"},{"_id":"M-Shop"},{"_id":"E-Lib"}],"file_date_updated":"2023-05-18T19:51:52Z","_id":"12817","doi":"10.15479/AT:ISTA:12817"},{"citation":{"short":"E.-A. Peste, A. Vladu, E. Kurtic, C. Lampert, D.-A. Alistarh, in:, 11th International Conference on Learning Representations , n.d.","ieee":"E.-A. Peste, A. Vladu, E. Kurtic, C. Lampert, and D.-A. Alistarh, “CrAM: A Compression-Aware Minimizer,” in <i>11th International Conference on Learning Representations </i>, Kigali, Rwanda .","ama":"Peste E-A, Vladu A, Kurtic E, Lampert C, Alistarh D-A. CrAM: A Compression-Aware Minimizer. In: <i>11th International Conference on Learning Representations </i>.","mla":"Peste, Elena-Alexandra, et al. “CrAM: A Compression-Aware Minimizer.” <i>11th International Conference on Learning Representations </i>.","chicago":"Peste, Elena-Alexandra, Adrian Vladu, Eldar Kurtic, Christoph Lampert, and Dan-Adrian Alistarh. “CrAM: A Compression-Aware Minimizer.” In <i>11th International Conference on Learning Representations </i>, n.d.","ista":"Peste E-A, Vladu A, Kurtic E, Lampert C, Alistarh D-A. CrAM: A Compression-Aware Minimizer. 11th International Conference on Learning Representations . ICLR: International Conference on Learning Representations.","apa":"Peste, E.-A., Vladu, A., Kurtic, E., Lampert, C., &#38; Alistarh, D.-A. (n.d.). CrAM: A Compression-Aware Minimizer. In <i>11th International Conference on Learning Representations </i>. Kigali, Rwanda ."},"date_created":"2023-05-23T11:36:18Z","title":"CrAM: A Compression-Aware Minimizer","oa":1,"acknowledgement":"AP, EK, DA received funding from the European Research Council (ERC) under the European\r\nUnion’s Horizon 2020 research and innovation programme (grant agreement No 805223 ScaleML). AV acknowledges the support of the French Agence Nationale de la Recherche (ANR), under grant ANR-21-CE48-0016 (project COMCOPT). We further acknowledge the support from the Scientific Service Units (SSU) of ISTA through resources provided by Scientific Computing (SciComp)-","date_updated":"2023-06-01T12:54:45Z","year":"2023","article_processing_charge":"No","ec_funded":1,"related_material":{"record":[{"id":"13074","relation":"dissertation_contains","status":"public"}]},"acknowledged_ssus":[{"_id":"ScienComp"}],"_id":"13053","language":[{"iso":"eng"}],"publication":"11th International Conference on Learning Representations ","author":[{"full_name":"Peste, Elena-Alexandra","first_name":"Elena-Alexandra","id":"32D78294-F248-11E8-B48F-1D18A9856A87","last_name":"Peste"},{"last_name":"Vladu","full_name":"Vladu, Adrian","first_name":"Adrian"},{"id":"47beb3a5-07b5-11eb-9b87-b108ec578218","last_name":"Kurtic","first_name":"Eldar","full_name":"Kurtic, Eldar"},{"full_name":"Lampert, Christoph","first_name":"Christoph","orcid":"0000-0001-8622-7887","last_name":"Lampert","id":"40C20FD2-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Dan-Adrian","full_name":"Alistarh, Dan-Adrian","id":"4A899BFC-F248-11E8-B48F-1D18A9856A87","last_name":"Alistarh","orcid":"0000-0003-3650-940X"}],"publication_status":"accepted","arxiv":1,"oa_version":"Preprint","external_id":{"arxiv":["2207.14200"]},"main_file_link":[{"open_access":"1","url":"https://openreview.net/pdf?id=_eTZBs-yedr"}],"abstract":[{"text":"Deep neural networks (DNNs) often have to be compressed, via pruning and/or quantization, before they can be deployed in practical settings. In this work we propose a new compression-aware minimizer dubbed CrAM that modifies the optimization step in a principled way, in order to produce models whose local loss behavior is stable under compression operations such as pruning. Thus, dense models trained via CrAM should be compressible post-training, in a single step, without significant accuracy loss. Experimental results on standard benchmarks, such as residual networks for ImageNet classification and BERT models for language modelling, show that CrAM produces dense models that can be more accurate than the standard SGD/Adam-based baselines, but which are stable under weight pruning: specifically, we can prune models in one-shot to 70-80% sparsity with almost no accuracy loss, and to 90% with reasonable (∼1%) accuracy loss, which is competitive with gradual compression methods. Additionally, CrAM can produce sparse models which perform well for transfer learning, and it also works for semi-structured 2:4 pruning patterns supported by GPU hardware. The code for reproducing the results is available at this https URL .","lang":"eng"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","conference":{"end_date":"2023-05-05","location":"Kigali, Rwanda ","start_date":"2023-05-01","name":"ICLR: International Conference on Learning Representations"},"month":"05","project":[{"name":"Elastic Coordination for Scalable Machine Learning","call_identifier":"H2020","_id":"268A44D6-B435-11E9-9278-68D0E5697425","grant_number":"805223"}],"department":[{"_id":"GradSch"},{"_id":"DaAl"},{"_id":"ChLa"}],"quality_controlled":"1","date_published":"2023-05-01T00:00:00Z","status":"public","type":"conference"},{"doi":"10.15479/at:ista:13074","acknowledged_ssus":[{"_id":"ScienComp"}],"_id":"13074","file_date_updated":"2023-05-24T16:12:59Z","related_material":{"record":[{"relation":"part_of_dissertation","id":"11458","status":"public"},{"id":"13053","relation":"part_of_dissertation","status":"public"},{"status":"public","id":"12299","relation":"part_of_dissertation"}]},"degree_awarded":"PhD","ec_funded":1,"citation":{"ista":"Peste E-A. 2023. Efficiency and generalization of sparse neural networks. Institute of Science and Technology Austria.","chicago":"Peste, Elena-Alexandra. “Efficiency and Generalization of Sparse Neural Networks.” Institute of Science and Technology Austria, 2023. <a href=\"https://doi.org/10.15479/at:ista:13074\">https://doi.org/10.15479/at:ista:13074</a>.","mla":"Peste, Elena-Alexandra. <i>Efficiency and Generalization of Sparse Neural Networks</i>. Institute of Science and Technology Austria, 2023, doi:<a href=\"https://doi.org/10.15479/at:ista:13074\">10.15479/at:ista:13074</a>.","short":"E.-A. Peste, Efficiency and Generalization of Sparse Neural Networks, Institute of Science and Technology Austria, 2023.","ama":"Peste E-A. Efficiency and generalization of sparse neural networks. 2023. doi:<a href=\"https://doi.org/10.15479/at:ista:13074\">10.15479/at:ista:13074</a>","ieee":"E.-A. Peste, “Efficiency and generalization of sparse neural networks,” Institute of Science and Technology Austria, 2023.","apa":"Peste, E.-A. (2023). <i>Efficiency and generalization of sparse neural networks</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/at:ista:13074\">https://doi.org/10.15479/at:ista:13074</a>"},"date_created":"2023-05-23T17:07:53Z","year":"2023","department":[{"_id":"GradSch"},{"_id":"DaAl"},{"_id":"ChLa"}],"page":"147","supervisor":[{"first_name":"Christoph","full_name":"Lampert, Christoph","orcid":"0000-0001-8622-7887","id":"40C20FD2-F248-11E8-B48F-1D18A9856A87","last_name":"Lampert"},{"full_name":"Alistarh, Dan-Adrian","first_name":"Dan-Adrian","id":"4A899BFC-F248-11E8-B48F-1D18A9856A87","last_name":"Alistarh","orcid":"0000-0003-3650-940X"}],"date_published":"2023-05-23T00:00:00Z","publisher":"Institute of Science and Technology Austria","project":[{"name":"International IST Doctoral Program","call_identifier":"H2020","_id":"2564DBCA-B435-11E9-9278-68D0E5697425","grant_number":"665385"},{"grant_number":"805223","_id":"268A44D6-B435-11E9-9278-68D0E5697425","name":"Elastic Coordination for Scalable Machine Learning","call_identifier":"H2020"}],"abstract":[{"text":"Deep learning has become an integral part of a large number of important applications, and many of the recent breakthroughs have been enabled by the ability to train very large models, capable to capture complex patterns and relationships from the data. At the same time, the massive sizes of modern deep learning models have made their deployment to smaller devices more challenging; this is particularly important, as in many applications the users rely on accurate deep learning predictions, but they only have access to devices with limited memory and compute power. One solution to this problem is to prune neural networks, by setting as many of their parameters as possible to zero, to obtain accurate sparse models with lower memory footprint. Despite the great research progress in obtaining sparse models that preserve accuracy, while satisfying memory and computational constraints, there are still many challenges associated with efficiently training sparse models, as well as understanding their generalization properties.\r\n\r\nThe focus of this thesis is to investigate how the training process of sparse models can be made more efficient, and to understand the differences between sparse and dense models in terms of how well they can generalize to changes in the data distribution. We first study a method for co-training sparse and dense models, at a lower cost compared to regular training. With our method we can obtain very accurate sparse networks, and dense models that can recover the baseline accuracy. Furthermore, we are able to more easily analyze the differences, at prediction level, between the sparse-dense model pairs. Next, we investigate the generalization properties of sparse neural networks in more detail, by studying how well different sparse models trained on a larger task can adapt to smaller, more specialized tasks, in a transfer learning scenario. Our analysis across multiple pruning methods and sparsity levels reveals that sparse models provide features that can transfer similarly to or better than the dense baseline. However, the choice of the pruning method plays an important role, and can influence the results when the features are fixed (linear finetuning), or when they are allowed to adapt to the new task (full finetuning). Using sparse models with fixed masks for finetuning on new tasks has an important practical advantage, as it enables training neural networks on smaller devices. However, one drawback of current pruning methods is that the entire training cycle has to be repeated to obtain the initial sparse model, for every sparsity target; in consequence, the entire training process is costly and also multiple models need to be stored. In the last part of the thesis we propose a method that can train accurate dense models that are compressible in a single step, to multiple sparsity levels, without additional finetuning. Our method results in sparse models that can be competitive with existing pruning methods, and which can also successfully generalize to new tasks.","lang":"eng"}],"ddc":["000"],"publication_status":"published","language":[{"iso":"eng"}],"has_accepted_license":"1","title":"Efficiency and generalization of sparse neural networks","article_processing_charge":"No","date_updated":"2023-08-04T10:33:27Z","oa":1,"type":"dissertation","status":"public","alternative_title":["ISTA Thesis"],"file":[{"creator":"epeste","relation":"main_file","access_level":"open_access","file_size":2152072,"content_type":"application/pdf","success":1,"file_name":"PhD_Thesis_Alexandra_Peste_final.pdf","file_id":"13087","checksum":"6b3354968403cb9d48cc5a83611fb571","date_created":"2023-05-24T16:11:16Z","date_updated":"2023-05-24T16:11:16Z"},{"creator":"epeste","access_level":"closed","file_size":1658293,"relation":"source_file","content_type":"application/zip","file_name":"PhD_Thesis_APeste.zip","checksum":"8d0df94bbcf4db72c991f22503b3fd60","file_id":"13088","date_created":"2023-05-24T16:12:59Z","date_updated":"2023-05-24T16:12:59Z"}],"user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","oa_version":"Published Version","day":"23","month":"05","publication_identifier":{"issn":["2663-337X"]},"author":[{"first_name":"Elena-Alexandra","full_name":"Peste, Elena-Alexandra","id":"32D78294-F248-11E8-B48F-1D18A9856A87","last_name":"Peste"}]},{"department":[{"_id":"JoDa"},{"_id":"SaSi"},{"_id":"GaNo"},{"_id":"PeJo"},{"_id":"Bio"},{"_id":"RySh"}],"date_published":"2023-08-04T00:00:00Z","publisher":"Institute of Science and Technology Austria","project":[{"name":"Optical control of synaptic function via adhesion molecules","call_identifier":"FWF","_id":"265CB4D0-B435-11E9-9278-68D0E5697425","grant_number":"I03600"},{"_id":"26AA4EF2-B435-11E9-9278-68D0E5697425","grant_number":"W1232-B24","call_identifier":"FWF","name":"Molecular Drug Targets"},{"name":"The Wittgenstein Prize","call_identifier":"FWF","_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"},{"_id":"25444568-B435-11E9-9278-68D0E5697425","grant_number":"715508","call_identifier":"H2020","name":"Probing the Reversibility of Autism Spectrum Disorders by Employing in vivo and in vitro Models"},{"grant_number":"692692","_id":"25B7EB9E-B435-11E9-9278-68D0E5697425","call_identifier":"H2020","name":"Biophysics and circuit function of a giant cortical glumatergic synapse"},{"_id":"2564DBCA-B435-11E9-9278-68D0E5697425","grant_number":"665385","call_identifier":"H2020","name":"International IST Doctoral Program"},{"grant_number":"101026635","_id":"fc2be41b-9c52-11eb-aca3-faa90aa144e9","call_identifier":"H2020","name":"Synaptic computations of the hippocampal CA3 circuitry"}],"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."}],"contributor":[{"last_name":"Michalska","id":"443DB6DE-F248-11E8-B48F-1D18A9856A87","first_name":"Julia M"},{"first_name":"Julia","id":"46E28B80-F248-11E8-B48F-1D18A9856A87","last_name":"Lyudchik"},{"first_name":"Philipp","orcid":"0000-0002-2340-7431","id":"39BDC62C-F248-11E8-B48F-1D18A9856A87","last_name":"Velicky"},{"first_name":"Hana","last_name":"Stefanickova","id":"ee3cb6ca-ec98-11ea-ae11-ff703e2254ed"},{"orcid":"0000-0002-8698-3823","last_name":"Watson","id":"63836096-4690-11EA-BD4E-32803DDC885E","first_name":"Jake"},{"first_name":"Alban","id":"9ac8f577-2357-11eb-997a-e566c5550886","last_name":"Cenameri"},{"first_name":"Christoph M","last_name":"Sommer","id":"4DF26D8C-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-1216-9105"},{"last_name":"Amberg","id":"4CD6AAC6-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-3183-8207","first_name":"Nicole"},{"first_name":"Alessandro","id":"41CB84B2-F248-11E8-B48F-1D18A9856A87","last_name":"Venturino","orcid":"0000-0003-2356-9403"},{"first_name":"Karl","last_name":"Roessler"},{"first_name":"Thomas","last_name":"Czech"},{"last_name":"Höftberger","first_name":"Romana"},{"orcid":"0000-0001-8635-0877","last_name":"Siegert","id":"36ACD32E-F248-11E8-B48F-1D18A9856A87","first_name":"Sandra"},{"first_name":"Gaia","id":"3E57A680-F248-11E8-B48F-1D18A9856A87","last_name":"Novarino","orcid":"0000-0002-7673-7178"},{"first_name":"Peter M","orcid":"0000-0001-5001-4804","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","last_name":"Jonas"}],"tmp":{"image":"/images/cc_by_nc_sa.png","legal_code_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode","name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","short":"CC BY-NC-SA (4.0)"},"ddc":["610"],"doi":"10.15479/AT:ISTA:13126","acknowledged_ssus":[{"_id":"ScienComp"},{"_id":"Bio"},{"_id":"PreCl"},{"_id":"LifeSc"},{"_id":"M-Shop"},{"_id":"E-Lib"}],"_id":"13126","file_date_updated":"2023-08-04T13:19:47Z","related_material":{"link":[{"relation":"research_data","url":"https://pub.ista.ac.at/group_danzl/data/CATS/","description":"Original data for Fig. 5d, Fig. 5d (N2V) and Fig. 5f-i, provided via an external link due to the large size (>10GB) of the datasets. "}],"record":[{"relation":"used_in_publication","id":"14257","status":"public"}]},"ec_funded":1,"citation":{"short":"J.G. Danzl, (2023).","ama":"Danzl JG. Research data for the publication “Imaging brain tissue architecture across millimeter to nanometer scales.” 2023. doi:<a href=\"https://doi.org/10.15479/AT:ISTA:13126\">10.15479/AT:ISTA:13126</a>","ieee":"J. G. Danzl, “Research data for the publication ‘Imaging brain tissue architecture across millimeter to nanometer scales.’” Institute of Science and Technology Austria, 2023.","mla":"Danzl, Johann G. <i>Research Data for the Publication “Imaging Brain Tissue Architecture across Millimeter to Nanometer Scales.”</i> Institute of Science and Technology Austria, 2023, doi:<a href=\"https://doi.org/10.15479/AT:ISTA:13126\">10.15479/AT:ISTA:13126</a>.","chicago":"Danzl, Johann G. “Research Data for the Publication ‘Imaging Brain Tissue Architecture across Millimeter to Nanometer Scales.’” Institute of Science and Technology Austria, 2023. <a href=\"https://doi.org/10.15479/AT:ISTA:13126\">https://doi.org/10.15479/AT:ISTA:13126</a>.","ista":"Danzl JG. 2023. Research data for the publication ‘Imaging brain tissue architecture across millimeter to nanometer scales’, Institute of Science and Technology Austria, <a href=\"https://doi.org/10.15479/AT:ISTA:13126\">10.15479/AT:ISTA:13126</a>.","apa":"Danzl, J. G. (2023). Research data for the publication “Imaging brain tissue architecture across millimeter to nanometer scales.” Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/AT:ISTA:13126\">https://doi.org/10.15479/AT:ISTA:13126</a>"},"date_created":"2023-06-07T07:15:12Z","year":"2023","acknowledgement":"We thank Jakob Vorlaufer, Nathalie Agudelo-Dueñas, Wiebke Jahr, Andreas Wartak for microscope maintenance and troubleshooting, Caroline Kreuzinger, Anna Freeman, and Irene Erber for technical assistance and Matthias Tomschik for support with obtaining human samples. We gratefully acknowledge Eder Miguel for setting up webKnossos and Marek Šuplata for computational support and hardware control. We are grateful to Ryuichi Shigemoto and Bernd Bickel for generous support, and Michael Sixt and Scott Boyd (Stanford University) for discussions and critical reading of the manuscript. PSD95-HaloTag mice were kindly provided by Seth Grant (University of Edinburgh). We acknowledge expert support by IST Austria’s scientific computing, imaging and optics, preclinical, and lab support facilities, and by the Library and Miba machine shop.\r\nWe gratefully acknowledge funding by the following sources: \r\nAustrian Science Fund (FWF) grant I3600-B27 (JGD)\r\nAustrian Science Fund (FWF) grant DK W1232 (JGD, JMM)\r\nAustrian Science Fund (FWF) grant Z 312-B27, Wittgenstein award (PJ)\r\nAustrian Science Funds (FWF) projects I4685-B, I6565-B (SYNABS) and DOC 33-B27 (RH)\r\nGesellschaft für Forschungsförderung NÖ (NFB) grant LSC18-022 (JGD)\r\nEuropean Union’s Horizon 2020 research and innovation programme, European Research Council (ERC) grant 715508 – REVERSEAUTISM (GN)\r\nEuropean Union’s Horizon 2020 research and innovation programme, European Research Council (ERC) grant 692692 – GIANTSYN (PJ)\r\nMarie Skłodowska-Curie Actions Fellowship GA no. 665385 under the EU Horizon 2020 program (JMM, JL)\r\nMarie Skłodowska-Curie Actions Individual Fellowship 101026635 under the EU Horizon 2020 program 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Version","month":"08","author":[{"orcid":"0000-0001-8559-3973","last_name":"Danzl","id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87","first_name":"Johann G","full_name":"Danzl, Johann G"}],"has_accepted_license":"1","title":"Research data for the publication \"Imaging brain tissue architecture across millimeter to nanometer scales\"","article_processing_charge":"No","date_updated":"2024-02-21T12:18:19Z","oa":1},{"acknowledged_ssus":[{"_id":"ScienComp"},{"_id":"Bio"},{"_id":"PreCl"},{"_id":"E-Lib"},{"_id":"LifeSc"},{"_id":"M-Shop"}],"_id":"13267","article_type":"original","doi":"10.1038/s41592-023-01936-6","citation":{"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.","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>.","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>","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.","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.","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>"},"date_created":"2023-07-23T22:01:13Z","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.).","year":"2023","ec_funded":1,"related_material":{"link":[{"relation":"software","url":"https://github.com/danzllab/LIONESS"}],"record":[{"status":"public","relation":"research_data","id":"12817"},{"status":"public","relation":"shorter_version","id":"14770"}]},"project":[{"name":"Optical control of synaptic function via adhesion molecules","call_identifier":"FWF","grant_number":"I03600","_id":"265CB4D0-B435-11E9-9278-68D0E5697425"},{"call_identifier":"FWF","name":"Molecular Drug Targets","_id":"2548AE96-B435-11E9-9278-68D0E5697425","grant_number":"W1232-B24"},{"_id":"25C5A090-B435-11E9-9278-68D0E5697425","grant_number":"Z00312","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"},{"name":"International IST Doctoral Program","call_identifier":"H2020","_id":"2564DBCA-B435-11E9-9278-68D0E5697425","grant_number":"665385"},{"name":"MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and Modeling","call_identifier":"H2020","grant_number":"715767","_id":"24F9549A-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","_id":"25444568-B435-11E9-9278-68D0E5697425"},{"name":"Biophysics and circuit function of a giant cortical glumatergic synapse","call_identifier":"H2020","grant_number":"692692","_id":"25B7EB9E-B435-11E9-9278-68D0E5697425"},{"call_identifier":"H2020","name":"Synaptic computations of the hippocampal CA3 circuitry","_id":"fc2be41b-9c52-11eb-aca3-faa90aa144e9","grant_number":"101026635"},{"name":"High-speed 3D-nanoscopy to study the role of adhesion during 3D cell migration","_id":"2668BFA0-B435-11E9-9278-68D0E5697425","grant_number":"LT00057"}],"page":"1256-1265","department":[{"_id":"PeJo"},{"_id":"GaNo"},{"_id":"BeBi"},{"_id":"JoDa"},{"_id":"Bio"}],"volume":20,"quality_controlled":"1","publisher":"Springer Nature","date_published":"2023-08-01T00:00:00Z","publication_status":"published","external_id":{"isi":["001025621500001"],"pmid":["37429995"]},"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"}],"language":[{"iso":"eng"}],"publication":"Nature Methods","title":"Dense 4D nanoscale reconstruction of living brain tissue","date_updated":"2024-01-10T08:37:48Z","oa":1,"article_processing_charge":"Yes","scopus_import":"1","intvolume":"        20","isi":1,"pmid":1,"status":"public","type":"journal_article","author":[{"first_name":"Philipp","full_name":"Velicky, Philipp","id":"39BDC62C-F248-11E8-B48F-1D18A9856A87","last_name":"Velicky","orcid":"0000-0002-2340-7431"},{"orcid":"0000-0001-5665-0430","id":"3FB91342-F248-11E8-B48F-1D18A9856A87","last_name":"Miguel Villalba","full_name":"Miguel Villalba, Eder","first_name":"Eder"},{"orcid":"0000-0003-3862-1235","id":"443DB6DE-F248-11E8-B48F-1D18A9856A87","last_name":"Michalska","full_name":"Michalska, Julia M","first_name":"Julia M"},{"full_name":"Lyudchik, Julia","first_name":"Julia","id":"46E28B80-F248-11E8-B48F-1D18A9856A87","last_name":"Lyudchik"},{"full_name":"Wei, Donglai","first_name":"Donglai","last_name":"Wei"},{"last_name":"Lin","full_name":"Lin, Zudi","first_name":"Zudi"},{"orcid":"0000-0002-8698-3823","last_name":"Watson","id":"63836096-4690-11EA-BD4E-32803DDC885E","first_name":"Jake","full_name":"Watson, Jake"},{"first_name":"Jakob","full_name":"Troidl, Jakob","last_name":"Troidl"},{"first_name":"Johanna","full_name":"Beyer, Johanna","last_name":"Beyer"},{"id":"43DF3136-F248-11E8-B48F-1D18A9856A87","last_name":"Ben Simon","full_name":"Ben Simon, Yoav","first_name":"Yoav"},{"orcid":"0000-0003-1216-9105","last_name":"Sommer","id":"4DF26D8C-F248-11E8-B48F-1D18A9856A87","first_name":"Christoph M","full_name":"Sommer, Christoph M"},{"first_name":"Wiebke","full_name":"Jahr, Wiebke","last_name":"Jahr","id":"425C1CE8-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Cenameri","id":"9ac8f577-2357-11eb-997a-e566c5550886","full_name":"Cenameri, Alban","first_name":"Alban"},{"full_name":"Broichhagen, Johannes","first_name":"Johannes","last_name":"Broichhagen"},{"first_name":"Seth G.N.","full_name":"Grant, Seth G.N.","last_name":"Grant"},{"last_name":"Jonas","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-5001-4804","first_name":"Peter M","full_name":"Jonas, Peter M"},{"orcid":"0000-0002-7673-7178","last_name":"Novarino","id":"3E57A680-F248-11E8-B48F-1D18A9856A87","first_name":"Gaia","full_name":"Novarino, Gaia"},{"full_name":"Pfister, Hanspeter","first_name":"Hanspeter","last_name":"Pfister"},{"full_name":"Bickel, Bernd","first_name":"Bernd","orcid":"0000-0001-6511-9385","last_name":"Bickel","id":"49876194-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Danzl, Johann G","first_name":"Johann G","orcid":"0000-0001-8559-3973","last_name":"Danzl","id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87"}],"oa_version":"Published Version","day":"01","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1038/s41592-023-01936-6"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publication_identifier":{"issn":["1548-7091"],"eissn":["1548-7105"]},"month":"08"},{"article_number":"4681","citation":{"short":"Z. Zhao, I. Vercellino, J. Knoppová, R. Sobotka, J.W. Murray, P.J. Nixon, L.A. Sazanov, J. Komenda, Nature Communications 14 (2023).","ieee":"Z. Zhao <i>et al.</i>, “The Ycf48 accessory factor occupies the site of the oxygen-evolving manganese cluster during photosystem II biogenesis,” <i>Nature Communications</i>, vol. 14. Springer Nature, 2023.","ama":"Zhao Z, Vercellino I, Knoppová J, et al. The Ycf48 accessory factor occupies the site of the oxygen-evolving manganese cluster during photosystem II biogenesis. <i>Nature Communications</i>. 2023;14. doi:<a href=\"https://doi.org/10.1038/s41467-023-40388-6\">10.1038/s41467-023-40388-6</a>","mla":"Zhao, Ziyu, et al. “The Ycf48 Accessory Factor Occupies the Site of the Oxygen-Evolving Manganese Cluster during Photosystem II Biogenesis.” <i>Nature Communications</i>, vol. 14, 4681, Springer Nature, 2023, doi:<a href=\"https://doi.org/10.1038/s41467-023-40388-6\">10.1038/s41467-023-40388-6</a>.","chicago":"Zhao, Ziyu, Irene Vercellino, Jana Knoppová, Roman Sobotka, James W. Murray, Peter J. Nixon, Leonid A Sazanov, and Josef Komenda. “The Ycf48 Accessory Factor Occupies the Site of the Oxygen-Evolving Manganese Cluster during Photosystem II Biogenesis.” <i>Nature Communications</i>. Springer Nature, 2023. <a href=\"https://doi.org/10.1038/s41467-023-40388-6\">https://doi.org/10.1038/s41467-023-40388-6</a>.","ista":"Zhao Z, Vercellino I, Knoppová J, Sobotka R, Murray JW, Nixon PJ, Sazanov LA, Komenda J. 2023. The Ycf48 accessory factor occupies the site of the oxygen-evolving manganese cluster during photosystem II biogenesis. Nature Communications. 14, 4681.","apa":"Zhao, Z., Vercellino, I., Knoppová, J., Sobotka, R., Murray, J. W., Nixon, P. J., … Komenda, J. (2023). The Ycf48 accessory factor occupies the site of the oxygen-evolving manganese cluster during photosystem II biogenesis. <i>Nature Communications</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41467-023-40388-6\">https://doi.org/10.1038/s41467-023-40388-6</a>"},"date_created":"2023-08-13T22:01:13Z","acknowledgement":"P.J.N. and J.W.M. are grateful for the support of the Biotechnology & Biological Sciences Research Council (awards BB/L003260/1 and BB/P00931X/1). J. Knoppová, R.S. and J. Komenda were supported by the Czech Science Foundation (project 19-29225X) and by ERC project Photoredesign (no. 854126) and L.A.S. was supported by the Scientific Service Units (SSU) of IST Austria through resources provided by the Electron Microscopy Facility (EMF), the Life Science Facility (LSF) and the IST high-performance computing cluster.","year":"2023","doi":"10.1038/s41467-023-40388-6","acknowledged_ssus":[{"_id":"EM-Fac"},{"_id":"LifeSc"},{"_id":"ScienComp"}],"file_date_updated":"2023-08-14T07:01:12Z","article_type":"original","_id":"14040","external_id":{"isi":["001042606700004"]},"abstract":[{"text":"Robust oxygenic photosynthesis requires a suite of accessory factors to ensure efficient assembly and repair of the oxygen-evolving photosystem two (PSII) complex. The highly conserved Ycf48 assembly factor binds to the newly synthesized D1 reaction center polypeptide and promotes the initial steps of PSII assembly, but its binding site is unclear. Here we use cryo-electron microscopy to determine the structure of a cyanobacterial PSII D1/D2 reaction center assembly complex with Ycf48 attached. Ycf48, a 7-bladed beta propeller, binds to the amino-acid residues of D1 that ultimately ligate the water-oxidising Mn4CaO5 cluster, thereby preventing the premature binding of Mn2+ and Ca2+ ions and protecting the site from damage. Interactions with D2 help explain how Ycf48 promotes assembly of the D1/D2 complex. Overall, our work provides valuable insights into the early stages of PSII assembly and the structural changes that create the binding site for the Mn4CaO5 cluster.","lang":"eng"}],"ddc":["570"],"tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"publication_status":"published","department":[{"_id":"LeSa"}],"quality_controlled":"1","volume":14,"publisher":"Springer Nature","date_published":"2023-08-04T00:00:00Z","intvolume":"        14","scopus_import":"1","has_accepted_license":"1","isi":1,"title":"The Ycf48 accessory factor occupies the site of the oxygen-evolving manganese cluster during photosystem II biogenesis","oa":1,"date_updated":"2023-12-13T12:06:56Z","article_processing_charge":"Yes","publication":"Nature Communications","language":[{"iso":"eng"}],"day":"04","oa_version":"Published Version","file":[{"file_name":"2023_NatureComm_Zhao.pdf","checksum":"3b9043df3d51c300f9be95eac3ff9d0b","file_id":"14044","success":1,"date_updated":"2023-08-14T07:01:12Z","date_created":"2023-08-14T07:01:12Z","creator":"dernst","access_level":"open_access","relation":"main_file","file_size":2315325,"content_type":"application/pdf"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publication_identifier":{"eissn":["2041-1723"]},"month":"08","author":[{"full_name":"Zhao, Ziyu","first_name":"Ziyu","last_name":"Zhao"},{"first_name":"Irene","full_name":"Vercellino, Irene","id":"3ED6AF16-F248-11E8-B48F-1D18A9856A87","last_name":"Vercellino","orcid":"0000-0001-5618-3449"},{"last_name":"Knoppová","full_name":"Knoppová, Jana","first_name":"Jana"},{"last_name":"Sobotka","full_name":"Sobotka, Roman","first_name":"Roman"},{"full_name":"Murray, James W.","first_name":"James W.","last_name":"Murray"},{"full_name":"Nixon, Peter J.","first_name":"Peter J.","last_name":"Nixon"},{"full_name":"Sazanov, Leonid A","first_name":"Leonid A","orcid":"0000-0002-0977-7989","last_name":"Sazanov","id":"338D39FE-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Komenda","full_name":"Komenda, Josef","first_name":"Josef"}],"type":"journal_article","status":"public"},{"publication_status":"published","external_id":{"isi":["001002997200001"]},"abstract":[{"text":"The regulatory architecture of gene expression is known to differ substantially between sexes in Drosophila, but most studies performed\r\nso far used whole-body data and only single crosses, which may have limited their scope to detect patterns that are robust across tissues\r\nand biological replicates. Here, we use allele-specific gene expression of parental and reciprocal hybrid crosses between 6 Drosophila\r\nmelanogaster inbred lines to quantify cis- and trans-regulatory variation in heads and gonads of both sexes separately across 3 replicate\r\ncrosses. Our results suggest that female and male heads, as well as ovaries, have a similar regulatory architecture. On the other hand,\r\ntestes display more and substantially different cis-regulatory effects, suggesting that sex differences in the regulatory architecture that\r\nhave been previously observed may largely derive from testis-specific effects. We also examine the difference in cis-regulatory variation\r\nof genes across different levels of sex bias in gonads and heads. Consistent with the idea that intersex correlations constrain expression\r\nand can lead to sexual antagonism, we find more cis variation in unbiased and moderately biased genes in heads. In ovaries, reduced cis\r\nvariation is observed for male-biased genes, suggesting that cis variants acting on these genes in males do not lead to changes in ovary\r\nexpression. Finally, we examine the dominance patterns of gene expression and find that sex- and tissue-specific patterns of inheritance\r\nas well as trans-regulatory variation are highly variable across biological crosses, although these were performed in highly controlled\r\nexperimental conditions. This highlights the importance of using various genetic backgrounds to infer generalizable patterns.","lang":"eng"}],"ddc":["570"],"tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"project":[{"grant_number":"665385","_id":"2564DBCA-B435-11E9-9278-68D0E5697425","name":"International IST Doctoral Program","call_identifier":"H2020"},{"name":"Sexual conflict: resolution, constraints and biomedical implications","_id":"9B9DFC9E-BA93-11EA-9121-9846C619BF3A","grant_number":"25817"}],"department":[{"_id":"BeVi"},{"_id":"NiBa"},{"_id":"GradSch"}],"volume":13,"quality_controlled":"1","publisher":"Oxford University Press","date_published":"2023-08-01T00:00:00Z","date_created":"2023-08-18T06:52:14Z","citation":{"ama":"Puixeu Sala G, Macon A, Vicoso B. Sex-specific estimation of cis and trans regulation of gene expression in heads and gonads of Drosophila melanogaster. <i>G3: Genes, Genomes, Genetics</i>. 2023;13(8). doi:<a href=\"https://doi.org/10.1093/g3journal/jkad121\">10.1093/g3journal/jkad121</a>","ieee":"G. Puixeu Sala, A. Macon, and B. Vicoso, “Sex-specific estimation of cis and trans regulation of gene expression in heads and gonads of Drosophila melanogaster,” <i>G3: Genes, Genomes, Genetics</i>, vol. 13, no. 8. Oxford University Press, 2023.","short":"G. Puixeu Sala, A. Macon, B. Vicoso, G3: Genes, Genomes, Genetics 13 (2023).","chicago":"Puixeu Sala, Gemma, Ariana Macon, and Beatriz Vicoso. “Sex-Specific Estimation of Cis and Trans Regulation of Gene Expression in Heads and Gonads of Drosophila Melanogaster.” <i>G3: Genes, Genomes, Genetics</i>. Oxford University Press, 2023. <a href=\"https://doi.org/10.1093/g3journal/jkad121\">https://doi.org/10.1093/g3journal/jkad121</a>.","ista":"Puixeu Sala G, Macon A, Vicoso B. 2023. Sex-specific estimation of cis and trans regulation of gene expression in heads and gonads of Drosophila melanogaster. G3: Genes, Genomes, Genetics. 13(8).","mla":"Puixeu Sala, Gemma, et al. “Sex-Specific Estimation of Cis and Trans Regulation of Gene Expression in Heads and Gonads of Drosophila Melanogaster.” <i>G3: Genes, Genomes, Genetics</i>, vol. 13, no. 8, Oxford University Press, 2023, doi:<a href=\"https://doi.org/10.1093/g3journal/jkad121\">10.1093/g3journal/jkad121</a>.","apa":"Puixeu Sala, G., Macon, A., &#38; Vicoso, B. (2023). Sex-specific estimation of cis and trans regulation of gene expression in heads and gonads of Drosophila melanogaster. <i>G3: Genes, Genomes, Genetics</i>. Oxford University Press. <a href=\"https://doi.org/10.1093/g3journal/jkad121\">https://doi.org/10.1093/g3journal/jkad121</a>"},"keyword":["Genetics (clinical)","Genetics","Molecular Biology"],"acknowledgement":"We thank members of the Vicoso Group for comments on the manuscript, the Scientific Computing Unit at ISTA for technical support, and 2 anonymous reviewers for useful feedback. GP is the recipient of a DOC Fellowship of the Austrian Academy of Sciences at the Institute of Science and Technology Austria (DOC 25817) and received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie Grant (agreement no. 665385).","year":"2023","ec_funded":1,"related_material":{"record":[{"id":"12933","relation":"research_data","status":"public"},{"status":"public","relation":"dissertation_contains","id":"14058"}]},"acknowledged_ssus":[{"_id":"ScienComp"}],"file_date_updated":"2023-11-07T09:00:19Z","_id":"14077","article_type":"original","doi":"10.1093/g3journal/jkad121","author":[{"orcid":"0000-0001-8330-1754","id":"33AB266C-F248-11E8-B48F-1D18A9856A87","last_name":"Puixeu Sala","first_name":"Gemma","full_name":"Puixeu Sala, Gemma"},{"id":"2A0848E2-F248-11E8-B48F-1D18A9856A87","last_name":"Macon","full_name":"Macon, Ariana","first_name":"Ariana"},{"full_name":"Vicoso, Beatriz","first_name":"Beatriz","last_name":"Vicoso","id":"49E1C5C6-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-4579-8306"}],"oa_version":"Published Version","day":"01","file":[{"creator":"dernst","content_type":"application/pdf","access_level":"open_access","file_size":845642,"relation":"main_file","file_name":"2023_G3_Puixeu.pdf","checksum":"c62e29fc7c5efbf8356f4c60cab4a2d1","file_id":"14498","success":1,"date_updated":"2023-11-07T09:00:19Z","date_created":"2023-11-07T09:00:19Z"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publication_identifier":{"issn":["2160-1836"]},"month":"08","type":"journal_article","status":"public","title":"Sex-specific estimation of cis and trans regulation of gene expression in heads and gonads of Drosophila melanogaster","oa":1,"date_updated":"2023-12-13T12:15:37Z","issue":"8","article_processing_charge":"Yes","intvolume":"        13","scopus_import":"1","has_accepted_license":"1","isi":1,"language":[{"iso":"eng"}],"publication":"G3: Genes, Genomes, Genetics"},{"author":[{"id":"44D6411A-F248-11E8-B48F-1D18A9856A87","last_name":"Jeschke","first_name":"Stefan","full_name":"Jeschke, Stefan"},{"orcid":"0000-0001-6646-5546","last_name":"Wojtan","id":"3C61F1D2-F248-11E8-B48F-1D18A9856A87","full_name":"Wojtan, Christopher J","first_name":"Christopher J"}],"day":"01","oa_version":"Published Version","file":[{"creator":"sjeschke","content_type":"video/mp4","access_level":"open_access","relation":"main_file","file_size":511572575,"success":1,"file_name":"PaperVideo_final.mp4","checksum":"1d178bb2f8011d9f5aedda6427e18c7a","file_id":"14704","date_created":"2023-12-21T12:26:40Z","date_updated":"2023-12-21T12:26:40Z"},{"file_size":7469177,"relation":"main_file","access_level":"open_access","content_type":"application/pdf","creator":"dernst","date_updated":"2024-01-02T09:34:27Z","date_created":"2024-01-02T09:34:27Z","checksum":"a49b2e744d5cd1276bb8b2e0ce6dc638","file_id":"14725","file_name":"2023_ACMToG_Jeschke.pdf","success":1}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publication_identifier":{"eissn":["1557-7368"],"issn":["0730-0301"]},"month":"08","status":"public","type":"journal_article","title":"Generalizing shallow water simulations with dispersive surface waves","oa":1,"date_updated":"2024-01-02T09:35:55Z","article_processing_charge":"Yes (in subscription journal)","issue":"4","has_accepted_license":"1","scopus_import":"1","intvolume":"        42","isi":1,"language":[{"iso":"eng"}],"publication":"ACM Transactions on Graphics","publication_status":"published","external_id":{"isi":["001044671300049"]},"abstract":[{"lang":"eng","text":"This paper introduces a novel method for simulating large bodies of water as a height field. At the start of each time step, we partition the waves into a bulk flow (which approximately satisfies the assumptions of the shallow water equations) and surface waves (which approximately satisfy the assumptions of Airy wave theory). We then solve the two wave regimes separately using appropriate state-of-the-art techniques, and re-combine the resulting wave velocities at the end of each step. This strategy leads to the first heightfield wave model capable of simulating complex interactions between both deep and shallow water effects, like the waves from a boat wake sloshing up onto a beach, or a dam break producing wave interference patterns and eddies. We also analyze the numerical dispersion created by our method and derive an exact correction factor for waves at a constant water depth, giving us a numerically perfect re-creation of theoretical water wave dispersion patterns."}],"ddc":["000"],"tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"project":[{"grant_number":"101045083","_id":"34bc2376-11ca-11ed-8bc3-9a3b3961a088","name":"Computational Discovery of Numerical Algorithms for Animation and Simulation of Natural Phenomena"}],"department":[{"_id":"ChWo"}],"quality_controlled":"1","volume":42,"publisher":"Association for Computing Machinery","date_published":"2023-08-01T00:00:00Z","date_created":"2023-08-27T22:01:17Z","citation":{"ama":"Jeschke S, Wojtan C. Generalizing shallow water simulations with dispersive surface waves. <i>ACM Transactions on Graphics</i>. 2023;42(4). doi:<a href=\"https://doi.org/10.1145/3592098\">10.1145/3592098</a>","ieee":"S. Jeschke and C. Wojtan, “Generalizing shallow water simulations with dispersive surface waves,” <i>ACM Transactions on Graphics</i>, vol. 42, no. 4. Association for Computing Machinery, 2023.","short":"S. Jeschke, C. Wojtan, ACM Transactions on Graphics 42 (2023).","ista":"Jeschke S, Wojtan C. 2023. Generalizing shallow water simulations with dispersive surface waves. ACM Transactions on Graphics. 42(4), 83.","mla":"Jeschke, Stefan, and Chris Wojtan. “Generalizing Shallow Water Simulations with Dispersive Surface Waves.” <i>ACM Transactions on Graphics</i>, vol. 42, no. 4, 83, Association for Computing Machinery, 2023, doi:<a href=\"https://doi.org/10.1145/3592098\">10.1145/3592098</a>.","chicago":"Jeschke, Stefan, and Chris Wojtan. “Generalizing Shallow Water Simulations with Dispersive Surface Waves.” <i>ACM Transactions on Graphics</i>. Association for Computing Machinery, 2023. <a href=\"https://doi.org/10.1145/3592098\">https://doi.org/10.1145/3592098</a>.","apa":"Jeschke, S., &#38; Wojtan, C. (2023). Generalizing shallow water simulations with dispersive surface waves. <i>ACM Transactions on Graphics</i>. Association for Computing Machinery. <a href=\"https://doi.org/10.1145/3592098\">https://doi.org/10.1145/3592098</a>"},"acknowledgement":"We thank Georg Sperl for helping with early research for this paper, Mickael Ly and Yi-Lu Chen for proofreading, and members of the ISTA Visual Computing Group for general feedback. This project was funded in part by the European Research Council (ERC Consolidator Grant 101045083 CoDiNA).\r\nThe motorboat and sailboat were modeled by Sergei and the palmtrees by YadroGames. The environment map was created by Emil Persson.","year":"2023","article_number":"83","acknowledged_ssus":[{"_id":"ScienComp"}],"file_date_updated":"2024-01-02T09:34:27Z","_id":"14240","article_type":"original","doi":"10.1145/3592098"},{"project":[{"grant_number":"I03600","_id":"265CB4D0-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","name":"Optical control of synaptic function via adhesion molecules"},{"name":"Molecular Drug Targets","call_identifier":"FWF","_id":"2548AE96-B435-11E9-9278-68D0E5697425","grant_number":"W1232-B24"},{"name":"The Wittgenstein Prize","call_identifier":"FWF","grant_number":"Z00312","_id":"25C5A090-B435-11E9-9278-68D0E5697425"},{"_id":"23889792-32DE-11EA-91FC-C7463DDC885E","name":"High content imaging to decode human immune cell interactions in health and allergic disease"},{"grant_number":"715508","_id":"25444568-B435-11E9-9278-68D0E5697425","call_identifier":"H2020","name":"Probing the Reversibility of Autism Spectrum Disorders by Employing in vivo and in vitro Models"},{"_id":"25B7EB9E-B435-11E9-9278-68D0E5697425","grant_number":"692692","call_identifier":"H2020","name":"Biophysics and circuit function of a giant cortical glumatergic synapse"},{"_id":"2564DBCA-B435-11E9-9278-68D0E5697425","grant_number":"665385","call_identifier":"H2020","name":"International IST Doctoral Program"},{"grant_number":"101026635","_id":"fc2be41b-9c52-11eb-aca3-faa90aa144e9","name":"Synaptic computations of the hippocampal CA3 circuitry","call_identifier":"H2020"}],"quality_controlled":"1","department":[{"_id":"SaSi"},{"_id":"GaNo"},{"_id":"PeJo"},{"_id":"JoDa"},{"_id":"Bio"},{"_id":"RySh"}],"date_published":"2023-08-31T00:00:00Z","publisher":"Springer Nature","publication_status":"epub_ahead","abstract":[{"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.","lang":"eng"}],"external_id":{"isi":["001065254200001"]},"acknowledged_ssus":[{"_id":"ScienComp"},{"_id":"Bio"},{"_id":"PreCl"},{"_id":"LifeSc"},{"_id":"M-Shop"},{"_id":"E-Lib"}],"_id":"14257","article_type":"original","doi":"10.1038/s41587-023-01911-8","citation":{"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>","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>.","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>.","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).","ieee":"J. M. Michalska <i>et al.</i>, “Imaging brain tissue architecture across millimeter to nanometer scales,” <i>Nature Biotechnology</i>. Springer Nature, 2023.","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>"},"date_created":"2023-09-03T22:01:15Z","year":"2023","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.).","related_material":{"record":[{"status":"public","id":"13126","relation":"research_data"}],"link":[{"url":"https://github.com/danzllab/CATS","relation":"software"}]},"ec_funded":1,"status":"public","type":"journal_article","author":[{"last_name":"Michalska","id":"443DB6DE-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-3862-1235","first_name":"Julia M","full_name":"Michalska, Julia M"},{"first_name":"Julia","full_name":"Lyudchik, Julia","id":"46E28B80-F248-11E8-B48F-1D18A9856A87","last_name":"Lyudchik"},{"id":"39BDC62C-F248-11E8-B48F-1D18A9856A87","last_name":"Velicky","orcid":"0000-0002-2340-7431","first_name":"Philipp","full_name":"Velicky, Philipp"},{"id":"ee3cb6ca-ec98-11ea-ae11-ff703e2254ed","last_name":"Korinkova","full_name":"Korinkova, Hana","first_name":"Hana"},{"first_name":"Jake","full_name":"Watson, Jake","id":"63836096-4690-11EA-BD4E-32803DDC885E","last_name":"Watson","orcid":"0000-0002-8698-3823"},{"first_name":"Alban","full_name":"Cenameri, Alban","last_name":"Cenameri","id":"9ac8f577-2357-11eb-997a-e566c5550886"},{"first_name":"Christoph M","full_name":"Sommer, Christoph M","orcid":"0000-0003-1216-9105","last_name":"Sommer","id":"4DF26D8C-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Nicole","full_name":"Amberg, Nicole","orcid":"0000-0002-3183-8207","id":"4CD6AAC6-F248-11E8-B48F-1D18A9856A87","last_name":"Amberg"},{"id":"41CB84B2-F248-11E8-B48F-1D18A9856A87","last_name":"Venturino","orcid":"0000-0003-2356-9403","full_name":"Venturino, Alessandro","first_name":"Alessandro"},{"first_name":"Karl","full_name":"Roessler, Karl","last_name":"Roessler"},{"full_name":"Czech, Thomas","first_name":"Thomas","last_name":"Czech"},{"full_name":"Höftberger, Romana","first_name":"Romana","last_name":"Höftberger"},{"last_name":"Siegert","id":"36ACD32E-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8635-0877","first_name":"Sandra","full_name":"Siegert, Sandra"},{"orcid":"0000-0002-7673-7178","id":"3E57A680-F248-11E8-B48F-1D18A9856A87","last_name":"Novarino","first_name":"Gaia","full_name":"Novarino, Gaia"},{"orcid":"0000-0001-5001-4804","last_name":"Jonas","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","full_name":"Jonas, Peter M","first_name":"Peter M"},{"full_name":"Danzl, Johann G","first_name":"Johann G","orcid":"0000-0001-8559-3973","id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87","last_name":"Danzl"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1038/s41587-023-01911-8"}],"day":"31","oa_version":"Published Version","month":"08","publication_identifier":{"issn":["1087-0156"],"eissn":["1546-1696"]},"language":[{"iso":"eng"}],"publication":"Nature Biotechnology","title":"Imaging brain tissue architecture across millimeter to nanometer scales","article_processing_charge":"Yes (in subscription journal)","date_updated":"2024-02-21T12:18:18Z","oa":1,"scopus_import":"1","isi":1},{"pmid":1,"status":"public","type":"journal_article","author":[{"id":"40315C30-F248-11E8-B48F-1D18A9856A87","last_name":"Scarselli","orcid":"0000-0001-5227-4271","first_name":"Davide","full_name":"Scarselli, Davide"},{"full_name":"Lopez Alonso, Jose M","first_name":"Jose M","last_name":"Lopez Alonso","id":"40770848-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-0384-2022"},{"full_name":"Varshney, Atul","first_name":"Atul","orcid":"0000-0002-3072-5999","id":"2A2006B2-F248-11E8-B48F-1D18A9856A87","last_name":"Varshney"},{"orcid":"0000-0003-2057-2754","last_name":"Hof","id":"3A374330-F248-11E8-B48F-1D18A9856A87","first_name":"Björn","full_name":"Hof, Björn"}],"month":"09","publication_identifier":{"eissn":["1476-4687"],"issn":["0028-0836"]},"day":"07","oa_version":"None","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","language":[{"iso":"eng"}],"publication":"Nature","date_updated":"2023-09-20T12:10:22Z","issue":"7977","article_processing_charge":"No","title":"Turbulence suppression by cardiac-cycle-inspired driving of pipe flow","intvolume":"       621","scopus_import":"1","project":[{"name":"Revisiting the Turbulence Problem Using Statistical Mechanics: Experimental Studies on Transitional and Turbulent Flows","grant_number":"662960","_id":"238598C6-32DE-11EA-91FC-C7463DDC885E"},{"_id":"238B8092-32DE-11EA-91FC-C7463DDC885E","grant_number":"I04188","name":"Instabilities in pulsating pipe flow of Newtonian and complex fluids","call_identifier":"FWF"}],"publisher":"Springer Nature","date_published":"2023-09-07T00:00:00Z","page":"71-74","department":[{"_id":"BjHo"}],"volume":621,"quality_controlled":"1","publication_status":"published","external_id":{"pmid":["37673988"]},"abstract":[{"text":"Flows through pipes and channels are, in practice, almost always turbulent, and the multiscale eddying motion is responsible for a major part of the encountered friction losses and pumping costs1. Conversely, for pulsatile flows, in particular for aortic blood flow, turbulence levels remain low despite relatively large peak velocities. For aortic blood flow, high turbulence levels are intolerable as they would damage the shear-sensitive endothelial cell layer2,3,4,5. Here we show that turbulence in ordinary pipe flow is diminished if the flow is driven in a pulsatile mode that incorporates all the key features of the cardiac waveform. At Reynolds numbers comparable to those of aortic blood flow, turbulence is largely inhibited, whereas at much higher speeds, the turbulent drag is reduced by more than 25%. This specific operation mode is more efficient when compared with steady driving, which is the present situation for virtually all fluid transport processes ranging from heating circuits to water, gas and oil pipelines.","lang":"eng"}],"article_type":"original","_id":"14341","acknowledged_ssus":[{"_id":"M-Shop"},{"_id":"ScienComp"}],"doi":"10.1038/s41586-023-06399-5","acknowledgement":"We acknowledge the assistance of the Miba machine shop and the team of the ISTA-HPC cluster. We thank M. Quadrio for the discussions. The work was supported by the Simons Foundation (grant no. 662960) and by the Austrian Science Fund (grant no. I4188-N30), within Deutsche Forschungsgemeinschaft research unit FOR 2688.","year":"2023","citation":{"apa":"Scarselli, D., Lopez Alonso, J. M., Varshney, A., &#38; Hof, B. (2023). Turbulence suppression by cardiac-cycle-inspired driving of pipe flow. <i>Nature</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41586-023-06399-5\">https://doi.org/10.1038/s41586-023-06399-5</a>","short":"D. Scarselli, J.M. Lopez Alonso, A. Varshney, B. Hof, Nature 621 (2023) 71–74.","ama":"Scarselli D, Lopez Alonso JM, Varshney A, Hof B. Turbulence suppression by cardiac-cycle-inspired driving of pipe flow. <i>Nature</i>. 2023;621(7977):71-74. doi:<a href=\"https://doi.org/10.1038/s41586-023-06399-5\">10.1038/s41586-023-06399-5</a>","ieee":"D. Scarselli, J. M. Lopez Alonso, A. Varshney, and B. Hof, “Turbulence suppression by cardiac-cycle-inspired driving of pipe flow,” <i>Nature</i>, vol. 621, no. 7977. Springer Nature, pp. 71–74, 2023.","mla":"Scarselli, Davide, et al. “Turbulence Suppression by Cardiac-Cycle-Inspired Driving of Pipe Flow.” <i>Nature</i>, vol. 621, no. 7977, Springer Nature, 2023, pp. 71–74, doi:<a href=\"https://doi.org/10.1038/s41586-023-06399-5\">10.1038/s41586-023-06399-5</a>.","ista":"Scarselli D, Lopez Alonso JM, Varshney A, Hof B. 2023. Turbulence suppression by cardiac-cycle-inspired driving of pipe flow. Nature. 621(7977), 71–74.","chicago":"Scarselli, Davide, Jose M Lopez Alonso, Atul Varshney, and Björn Hof. “Turbulence Suppression by Cardiac-Cycle-Inspired Driving of Pipe Flow.” <i>Nature</i>. Springer Nature, 2023. <a href=\"https://doi.org/10.1038/s41586-023-06399-5\">https://doi.org/10.1038/s41586-023-06399-5</a>."},"date_created":"2023-09-17T22:01:09Z","related_material":{"link":[{"description":"News on ISTA website","url":"https://www.ista.ac.at/en/news/pumping-like-the-heart/","relation":"press_release"}]}},{"quality_controlled":"1","volume":202,"page":"10323-10337","department":[{"_id":"DaAl"}],"date_published":"2023-07-30T00:00:00Z","publisher":"ML Research Press","project":[{"name":"Elastic Coordination for Scalable Machine Learning","call_identifier":"H2020","_id":"268A44D6-B435-11E9-9278-68D0E5697425","grant_number":"805223"}],"abstract":[{"lang":"eng","text":"We show for the first time that large-scale generative pretrained transformer (GPT) family models can be pruned to at least 50% sparsity in one-shot, without any retraining, at minimal loss of accuracy. This is achieved via a new pruning method called SparseGPT, specifically designed to work efficiently and accurately on massive GPT-family models. We can execute SparseGPT on the largest available open-source models, OPT-175B and BLOOM-176B, in under 4.5 hours, and can reach 60% unstructured sparsity with negligible increase in perplexity: remarkably, more than 100 billion weights from these models can be ignored at inference time. SparseGPT generalizes to semi-structured (2:4 and 4:8) patterns, and is compatible with weight quantization approaches. The code is available at: https://github.com/IST-DASLab/sparsegpt."}],"external_id":{"arxiv":["2301.00774"]},"publication_status":"published","acknowledged_ssus":[{"_id":"ScienComp"}],"_id":"14458","ec_funded":1,"date_created":"2023-10-29T23:01:16Z","citation":{"apa":"Frantar, E., &#38; Alistarh, D.-A. (2023). SparseGPT: Massive language models can be accurately pruned in one-shot. In <i>Proceedings of the 40th International Conference on Machine Learning</i> (Vol. 202, pp. 10323–10337). Honolulu, Hawaii, HI, United States: ML Research Press.","ama":"Frantar E, Alistarh D-A. SparseGPT: Massive language models can be accurately pruned in one-shot. In: <i>Proceedings of the 40th International Conference on Machine Learning</i>. Vol 202. ML Research Press; 2023:10323-10337.","ieee":"E. Frantar and D.-A. Alistarh, “SparseGPT: Massive language models can be accurately pruned in one-shot,” in <i>Proceedings of the 40th International Conference on Machine Learning</i>, Honolulu, Hawaii, HI, United States, 2023, vol. 202, pp. 10323–10337.","short":"E. Frantar, D.-A. Alistarh, in:, Proceedings of the 40th International Conference on Machine Learning, ML Research Press, 2023, pp. 10323–10337.","mla":"Frantar, Elias, and Dan-Adrian Alistarh. “SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot.” <i>Proceedings of the 40th International Conference on Machine Learning</i>, vol. 202, ML Research Press, 2023, pp. 10323–37.","chicago":"Frantar, Elias, and Dan-Adrian Alistarh. “SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot.” In <i>Proceedings of the 40th International Conference on Machine Learning</i>, 202:10323–37. ML Research Press, 2023.","ista":"Frantar E, Alistarh D-A. 2023. SparseGPT: Massive language models can be accurately pruned in one-shot. Proceedings of the 40th International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 202, 10323–10337."},"year":"2023","acknowledgement":"The authors gratefully acknowledge funding from the European Research Council (ERC) under the European Union’s Horizon 2020 programme (grant agreement No. 805223 ScaleML), as well as experimental support from Eldar Kurtic, and from the IST Austria IT department, in particular Stefano Elefante, Andrei Hornoiu, and Alois Schloegl.","status":"public","type":"conference","alternative_title":["PMLR"],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.2301.00774"}],"oa_version":"Preprint","day":"30","month":"07","publication_identifier":{"eissn":["2640-3498"]},"conference":{"end_date":"2023-07-29","location":"Honolulu, Hawaii, HI, United States","start_date":"2023-07-23","name":"ICML: International Conference on Machine Learning"},"arxiv":1,"author":[{"first_name":"Elias","full_name":"Frantar, Elias","last_name":"Frantar","id":"09a8f98d-ec99-11ea-ae11-c063a7b7fe5f"},{"full_name":"Alistarh, Dan-Adrian","first_name":"Dan-Adrian","orcid":"0000-0003-3650-940X","id":"4A899BFC-F248-11E8-B48F-1D18A9856A87","last_name":"Alistarh"}],"publication":"Proceedings of the 40th International Conference on Machine Learning","language":[{"iso":"eng"}],"scopus_import":"1","intvolume":"       202","title":"SparseGPT: Massive language models can be accurately pruned in one-shot","article_processing_charge":"No","oa":1,"date_updated":"2023-10-31T09:59:42Z"},{"_id":"14461","acknowledged_ssus":[{"_id":"ScienComp"}],"year":"2023","acknowledgement":"The authors gratefully acknowledge funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 805223 ScaleML), as well as experimental support from the IST Austria IT department, in particular Stefano Elefante, Andrei Hornoiu, and Alois Schloegl. AV acknowledges the support of the French Agence Nationale de la Recherche (ANR), under grant ANR-21-CE48-0016 (project COMCOPT), the support of Fondation Hadamard with a PRMO grant, and the support of CNRS with a CoopIntEER IEA grant (project ALFRED).","citation":{"mla":"Markov, Ilia, et al. “Quantized Distributed Training of Large Models with Convergence Guarantees.” <i>Proceedings of the 40th International Conference on Machine Learning</i>, vol. 202, ML Research Press, 2023, pp. 24020–44.","ista":"Markov I, Vladu A, Guo Q, Alistarh D-A. 2023. Quantized distributed training of large models with convergence guarantees. Proceedings of the 40th International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 202, 24020–24044.","chicago":"Markov, Ilia, Adrian Vladu, Qi Guo, and Dan-Adrian Alistarh. “Quantized Distributed Training of Large Models with Convergence Guarantees.” In <i>Proceedings of the 40th International Conference on Machine Learning</i>, 202:24020–44. ML Research Press, 2023.","ieee":"I. Markov, A. Vladu, Q. Guo, and D.-A. Alistarh, “Quantized distributed training of large models with convergence guarantees,” in <i>Proceedings of the 40th International Conference on Machine Learning</i>, Honolulu, Hawaii, HI, United States, 2023, vol. 202, pp. 24020–24044.","ama":"Markov I, Vladu A, Guo Q, Alistarh D-A. Quantized distributed training of large models with convergence guarantees. In: <i>Proceedings of the 40th International Conference on Machine Learning</i>. Vol 202. ML Research Press; 2023:24020-24044.","short":"I. Markov, A. Vladu, Q. Guo, D.-A. Alistarh, in:, Proceedings of the 40th International Conference on Machine Learning, ML Research Press, 2023, pp. 24020–24044.","apa":"Markov, I., Vladu, A., Guo, Q., &#38; Alistarh, D.-A. (2023). Quantized distributed training of large models with convergence guarantees. In <i>Proceedings of the 40th International Conference on Machine Learning</i> (Vol. 202, pp. 24020–24044). Honolulu, Hawaii, HI, United States: ML Research Press."},"date_created":"2023-10-29T23:01:17Z","ec_funded":1,"project":[{"call_identifier":"H2020","name":"Elastic Coordination for Scalable Machine Learning","_id":"268A44D6-B435-11E9-9278-68D0E5697425","grant_number":"805223"}],"date_published":"2023-07-30T00:00:00Z","publisher":"ML Research Press","volume":202,"quality_controlled":"1","department":[{"_id":"DaAl"}],"page":"24020-24044","publication_status":"published","abstract":[{"text":"Communication-reduction techniques are a popular way to improve scalability in data-parallel training of deep neural networks (DNNs). The recent emergence of large language models such as GPT has created the need for new approaches to exploit data-parallelism. Among these, fully-sharded data parallel (FSDP) training is highly popular, yet it still encounters scalability bottlenecks. One reason is that applying compression techniques to FSDP is challenging: as the vast majority of the communication involves the model’s weights, direct compression alters convergence and leads to accuracy loss. We present QSDP, a variant of FSDP which supports both gradient and weight quantization with theoretical guarantees, is simple to implement and has essentially no overheads. To derive QSDP we prove that a natural modification of SGD achieves convergence even when we only maintain quantized weights, and thus the domain over which we train consists of quantized points and is, therefore, highly non-convex. We validate this approach by training GPT-family models with up to 1.3 billion parameters on a multi-node cluster. Experiments show that QSDP preserves model accuracy, while completely removing the communication bottlenecks of FSDP, providing end-to-end speedups of up to 2.2x.","lang":"eng"}],"external_id":{"arxiv":["2302.02390"]},"language":[{"iso":"eng"}],"publication":"Proceedings of the 40th International Conference on Machine Learning","article_processing_charge":"No","oa":1,"date_updated":"2023-10-31T09:40:45Z","title":"Quantized distributed training of large models with convergence guarantees","scopus_import":"1","intvolume":"       202","type":"conference","status":"public","alternative_title":["PMLR"],"arxiv":1,"author":[{"last_name":"Markov","id":"D0CF4148-C985-11E9-8066-0BDEE5697425","full_name":"Markov, Ilia","first_name":"Ilia"},{"first_name":"Adrian","full_name":"Vladu, Adrian","last_name":"Vladu"},{"last_name":"Guo","full_name":"Guo, Qi","first_name":"Qi"},{"first_name":"Dan-Adrian","full_name":"Alistarh, Dan-Adrian","orcid":"0000-0003-3650-940X","last_name":"Alistarh","id":"4A899BFC-F248-11E8-B48F-1D18A9856A87"}],"publication_identifier":{"eissn":["2640-3498"]},"month":"07","conference":{"start_date":"2023-07-23","name":"ICML: International Conference on Machine Learning","end_date":"2023-07-29","location":"Honolulu, Hawaii, HI, United States"},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","main_file_link":[{"url":"https://doi.org/10.48550/arXiv.2302.02390","open_access":"1"}],"oa_version":"Preprint","day":"30"},{"publication_status":"published","external_id":{"pmid":["37988296"]},"abstract":[{"text":"Many insects carry an ancient X chromosome - the Drosophila Muller element F - that likely predates their origin. Interestingly, the X has undergone turnover in multiple fly species (Diptera) after being conserved for more than 450 MY. The long evolutionary distance between Diptera and other sequenced insect clades makes it difficult to infer what could have contributed to this sudden increase in rate of turnover. Here, we produce the first genome and transcriptome of a long overlooked sister-order to Diptera: Mecoptera. We compare the scorpionfly Panorpa cognata X-chromosome gene content, expression, and structure, to that of several dipteran species as well as more distantly-related insect orders (Orthoptera and Blattodea). We find high conservation of gene content between the mecopteran X and the dipteran Muller F element, as well as several shared biological features, such as the presence of dosage compensation and a low amount of genetic diversity, consistent with a low recombination rate. However, the two homologous X chromosomes differ strikingly in their size and number of genes they carry. Our results therefore support a common ancestry of the mecopteran and ancestral dipteran X chromosomes, and suggest that Muller element F shrank in size and gene content after the split of Diptera and Mecoptera, which may have contributed to its turnover in dipteran insects.","lang":"eng"}],"ddc":["570"],"tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"project":[{"name":"The highjacking of meiosis for asexual reproduction","grant_number":"F8810","_id":"34ae1506-11ca-11ed-8bc3-c14f4c474396"},{"_id":"ebb230e0-77a9-11ec-83b8-87a37e0241d3","grant_number":"ESP39 49461","name":"Mechanisms and Evolution of Reproductive Plasticity"}],"department":[{"_id":"BeVi"}],"quality_controlled":"1","volume":40,"publisher":"Oxford University Press","date_published":"2023-12-01T00:00:00Z","date_created":"2023-11-27T16:14:37Z","citation":{"chicago":"Lasne, Clementine, Marwan N Elkrewi, Melissa A Toups, Lorena Alexandra Layana Franco, Ariana Macon, and Beatriz Vicoso. “The Scorpionfly (Panorpa Cognata) Genome Highlights Conserved and Derived Features of the Peculiar Dipteran X Chromosome.” <i>Molecular Biology and Evolution</i>. Oxford University Press, 2023. <a href=\"https://doi.org/10.1093/molbev/msad245\">https://doi.org/10.1093/molbev/msad245</a>.","ista":"Lasne C, Elkrewi MN, Toups MA, Layana Franco LA, Macon A, Vicoso B. 2023. The scorpionfly (Panorpa cognata) genome highlights conserved and derived features of the peculiar dipteran X chromosome. Molecular Biology and Evolution. 40(12), msad245.","mla":"Lasne, Clementine, et al. “The Scorpionfly (Panorpa Cognata) Genome Highlights Conserved and Derived Features of the Peculiar Dipteran X Chromosome.” <i>Molecular Biology and Evolution</i>, vol. 40, no. 12, msad245, Oxford University Press, 2023, doi:<a href=\"https://doi.org/10.1093/molbev/msad245\">10.1093/molbev/msad245</a>.","ieee":"C. Lasne, M. N. Elkrewi, M. A. Toups, L. A. Layana Franco, A. Macon, and B. Vicoso, “The scorpionfly (Panorpa cognata) genome highlights conserved and derived features of the peculiar dipteran X chromosome,” <i>Molecular Biology and Evolution</i>, vol. 40, no. 12. Oxford University Press, 2023.","ama":"Lasne C, Elkrewi MN, Toups MA, Layana Franco LA, Macon A, Vicoso B. The scorpionfly (Panorpa cognata) genome highlights conserved and derived features of the peculiar dipteran X chromosome. <i>Molecular Biology and Evolution</i>. 2023;40(12). doi:<a href=\"https://doi.org/10.1093/molbev/msad245\">10.1093/molbev/msad245</a>","short":"C. Lasne, M.N. Elkrewi, M.A. Toups, L.A. Layana Franco, A. Macon, B. Vicoso, Molecular Biology and Evolution 40 (2023).","apa":"Lasne, C., Elkrewi, M. N., Toups, M. A., Layana Franco, L. A., Macon, A., &#38; Vicoso, B. (2023). The scorpionfly (Panorpa cognata) genome highlights conserved and derived features of the peculiar dipteran X chromosome. <i>Molecular Biology and Evolution</i>. Oxford University Press. <a href=\"https://doi.org/10.1093/molbev/msad245\">https://doi.org/10.1093/molbev/msad245</a>"},"keyword":["Genetics","Molecular Biology","Ecology","Evolution","Behavior and Systematics"],"acknowledgement":"We thank the Vicoso lab for their assistance with specimen collection, and Tim Connallon for valuable comments and suggestions on earlier versions of the manuscript. Computational resources and support were provided by the Scientific Computing unit at the ISTA. This research was supported by grants from the Austrian Science Foundation to C.L.\r\n(FWF ESP 39), and to B.V. (FWF SFB F88-10).","year":"2023","related_material":{"record":[{"status":"public","relation":"research_data","id":"14614"}],"link":[{"relation":"press_release","description":"News on ISTA webpage","url":"https://ista.ac.at/en/news/on-the-hunt/"}]},"article_number":"msad245","acknowledged_ssus":[{"_id":"ScienComp"}],"file_date_updated":"2024-01-02T11:39:38Z","_id":"14613","article_type":"original","doi":"10.1093/molbev/msad245","author":[{"full_name":"Lasne, Clementine","first_name":"Clementine","id":"02225f57-50d2-11eb-9ed8-8c92b9a34237","last_name":"Lasne","orcid":"0000-0002-1197-8616"},{"orcid":"0000-0002-5328-7231","last_name":"Elkrewi","id":"0B46FACA-A8E1-11E9-9BD3-79D1E5697425","full_name":"Elkrewi, Marwan N","first_name":"Marwan N"},{"orcid":"0000-0002-9752-7380","id":"4E099E4E-F248-11E8-B48F-1D18A9856A87","last_name":"Toups","first_name":"Melissa A","full_name":"Toups, Melissa A"},{"first_name":"Lorena Alexandra","full_name":"Layana Franco, Lorena Alexandra","orcid":"0000-0002-1253-6297","id":"02814589-eb8f-11eb-b029-a70074f3f18f","last_name":"Layana Franco"},{"last_name":"Macon","id":"2A0848E2-F248-11E8-B48F-1D18A9856A87","first_name":"Ariana","full_name":"Macon, Ariana"},{"full_name":"Vicoso, Beatriz","first_name":"Beatriz","id":"49E1C5C6-F248-11E8-B48F-1D18A9856A87","last_name":"Vicoso","orcid":"0000-0002-4579-8306"}],"oa_version":"Published Version","day":"01","file":[{"creator":"dernst","file_size":8623505,"access_level":"open_access","relation":"main_file","content_type":"application/pdf","file_id":"14727","checksum":"47c1c72fb499f26ea52d216b242208c8","file_name":"2023_MolecularBioEvo_Lasne.pdf","success":1,"date_updated":"2024-01-02T11:39:38Z","date_created":"2024-01-02T11:39:38Z"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","month":"12","publication_identifier":{"eissn":["1537-1719"],"issn":["0737-4038"]},"pmid":1,"status":"public","type":"journal_article","title":"The scorpionfly (Panorpa cognata) genome highlights conserved and derived features of the peculiar dipteran X chromosome","date_updated":"2024-02-21T12:18:35Z","oa":1,"article_processing_charge":"Yes (via OA deal)","issue":"12","has_accepted_license":"1","scopus_import":"1","intvolume":"        40","language":[{"iso":"eng"}],"publication":"Molecular Biology and Evolution"}]