[{"language":[{"iso":"eng"}],"publication":"Neuron","month":"01","project":[{"name":"Biophysics and circuit function of a giant cortical glumatergic synapse","grant_number":"692692","call_identifier":"H2020","_id":"25B7EB9E-B435-11E9-9278-68D0E5697425"},{"call_identifier":"FWF","_id":"25C5A090-B435-11E9-9278-68D0E5697425","name":"The Wittgenstein Prize","grant_number":"Z00312"},{"name":"Mechanisms of GABA release in hippocampal circuits","grant_number":"P36232","_id":"bd88be38-d553-11ed-ba76-81d5a70a6ef5"},{"grant_number":"25383","name":"Development of nanodomain coupling between Ca2+ channels and release sensors at a central inhibitory synapse","_id":"26B66A3E-B435-11E9-9278-68D0E5697425"}],"acknowledged_ssus":[{"_id":"EM-Fac"},{"_id":"PreCl"},{"_id":"M-Shop"}],"oa_version":"None","related_material":{"link":[{"description":"News on ISTA Website","relation":"press_release","url":"https://ista.ac.at/en/news/synapses-brought-to-the-point/"}]},"status":"public","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","type":"journal_article","date_published":"2024-01-11T00:00:00Z","publication_identifier":{"issn":["0896-6273"],"eissn":["1097-4199"]},"quality_controlled":"1","ec_funded":1,"article_type":"original","publisher":"Elsevier","author":[{"last_name":"Chen","first_name":"JingJing","full_name":"Chen, JingJing","id":"2C4E65C8-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Kaufmann, Walter","orcid":"0000-0001-9735-5315","last_name":"Kaufmann","first_name":"Walter","id":"3F99E422-F248-11E8-B48F-1D18A9856A87"},{"id":"3DFD581A-F248-11E8-B48F-1D18A9856A87","full_name":"Chen, Chong","last_name":"Chen","first_name":"Chong"},{"first_name":"Itaru","last_name":"Arai","full_name":"Arai, Itaru","id":"32A73F6C-F248-11E8-B48F-1D18A9856A87"},{"id":"3F8ABDDA-F248-11E8-B48F-1D18A9856A87","last_name":"Kim","first_name":"Olena","full_name":"Kim, Olena"},{"id":"499F3ABC-F248-11E8-B48F-1D18A9856A87","last_name":"Shigemoto","first_name":"Ryuichi","full_name":"Shigemoto, Ryuichi","orcid":"0000-0001-8761-9444"},{"last_name":"Jonas","first_name":"Peter M","full_name":"Jonas, Peter M","orcid":"0000-0001-5001-4804","id":"353C1B58-F248-11E8-B48F-1D18A9856A87"}],"scopus_import":"1","pmid":1,"_id":"14843","title":"Developmental transformation of Ca2+ channel-vesicle nanotopography at a central GABAergic synapse","department":[{"_id":"PeJo"},{"_id":"EM-Fac"},{"_id":"RySh"}],"date_created":"2024-01-21T23:00:56Z","article_processing_charge":"No","publication_status":"inpress","acknowledgement":"We thank Drs. David DiGregorio and Erwin Neher for critically reading an earlier version of the manuscript, Ralf Schneggenburger for helpful discussions, Benjamin Suter and Katharina Lichter for support with image analysis, Chris Wojtan for advice on numerical solution of partial differential equations, Maria Reva for help with Ripley analysis, Alois Schlögl for programming, and Akari Hagiwara and Toshihisa Ohtsuka for anti-ELKS antibody. We are grateful to Florian Marr, Christina Altmutter, and Vanessa Zheden for excellent technical assistance and to Eleftheria Kralli-Beller for manuscript editing. This research was supported by the Scientific Services Units (SSUs) of ISTA (Electron Microscopy Facility, Preclinical Facility, and Machine Shop). The project received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement no. 692692), the Fonds zur Förderung der Wissenschaftlichen Forschung (Z 312-B27, Wittgenstein award; P 36232-B), all to P.J., and a DOC fellowship of the Austrian Academy of Sciences to J.-J.C.","external_id":{"pmid":["38215739"]},"year":"2024","citation":{"ista":"Chen J, Kaufmann W, Chen C, Arai  itaru, Kim O, Shigemoto R, Jonas PM. Developmental transformation of Ca2+ channel-vesicle nanotopography at a central GABAergic synapse. Neuron.","mla":"Chen, JingJing, et al. “Developmental Transformation of Ca2+ Channel-Vesicle Nanotopography at a Central GABAergic Synapse.” <i>Neuron</i>, Elsevier, doi:<a href=\"https://doi.org/10.1016/j.neuron.2023.12.002\">10.1016/j.neuron.2023.12.002</a>.","short":"J. Chen, W. Kaufmann, C. Chen,  itaru Arai, O. Kim, R. Shigemoto, P.M. Jonas, Neuron (n.d.).","chicago":"Chen, JingJing, Walter Kaufmann, Chong Chen, itaru Arai, Olena Kim, Ryuichi Shigemoto, and Peter M Jonas. “Developmental Transformation of Ca2+ Channel-Vesicle Nanotopography at a Central GABAergic Synapse.” <i>Neuron</i>. Elsevier, n.d. <a href=\"https://doi.org/10.1016/j.neuron.2023.12.002\">https://doi.org/10.1016/j.neuron.2023.12.002</a>.","ieee":"J. Chen <i>et al.</i>, “Developmental transformation of Ca2+ channel-vesicle nanotopography at a central GABAergic synapse,” <i>Neuron</i>. Elsevier.","ama":"Chen J, Kaufmann W, Chen C, et al. Developmental transformation of Ca2+ channel-vesicle nanotopography at a central GABAergic synapse. <i>Neuron</i>. doi:<a href=\"https://doi.org/10.1016/j.neuron.2023.12.002\">10.1016/j.neuron.2023.12.002</a>","apa":"Chen, J., Kaufmann, W., Chen, C., Arai,  itaru, Kim, O., Shigemoto, R., &#38; Jonas, P. M. (n.d.). Developmental transformation of Ca2+ channel-vesicle nanotopography at a central GABAergic synapse. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2023.12.002\">https://doi.org/10.1016/j.neuron.2023.12.002</a>"},"date_updated":"2024-03-05T09:31:24Z","abstract":[{"text":"The coupling between Ca2+ channels and release sensors is a key factor defining the signaling properties of a synapse. However, the coupling nanotopography at many synapses remains unknown, and it is unclear how it changes during development. To address these questions, we examined coupling at the cerebellar inhibitory basket cell (BC)-Purkinje cell (PC) synapse. Biophysical analysis of transmission by paired recording and intracellular pipette perfusion revealed that the effects of exogenous Ca2+ chelators decreased during development, despite constant reliance of release on P/Q-type Ca2+ channels. Structural analysis by freeze-fracture replica labeling (FRL) and transmission electron microscopy (EM) indicated that presynaptic P/Q-type Ca2+ channels formed nanoclusters throughout development, whereas docked vesicles were only clustered at later developmental stages. Modeling suggested a developmental transformation from a more random to a more clustered coupling nanotopography. Thus, presynaptic signaling developmentally approaches a point-to-point configuration, optimizing speed, reliability, and energy efficiency of synaptic transmission.","lang":"eng"}],"day":"11","doi":"10.1016/j.neuron.2023.12.002"},{"language":[{"iso":"eng"}],"month":"01","project":[{"grant_number":"F07805","name":"Molecular Mechanisms of Neural Stem Cell Lineage Progression","_id":"059F6AB4-7A3F-11EA-A408-12923DDC885E"}],"acknowledged_ssus":[{"_id":"Bio"},{"_id":"M-Shop"},{"_id":"LifeSc"},{"_id":"PreCl"}],"oa_version":"Published Version","has_accepted_license":"1","publication":"Neuron","status":"public","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","related_material":{"link":[{"url":"https://ista.ac.at/en/news/the-pedigree-of-brain-cells/","description":"News on ISTA Website","relation":"press_release"}]},"file":[{"creator":"dernst","file_id":"14944","relation":"main_file","access_level":"open_access","success":1,"content_type":"application/pdf","file_name":"2024_Neuron_Cheung.pdf","date_updated":"2024-02-06T13:56:15Z","file_size":5942467,"checksum":"32b3788f7085cf44a84108d8faaff3ce","date_created":"2024-02-06T13:56:15Z"}],"oa":1,"publication_identifier":{"issnl":["1234-5678"],"eisbn":["1234995621"],"issn":["0896-6273"]},"type":"journal_article","date_published":"2024-01-17T00:00:00Z","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"article_type":"comment","publisher":"Elsevier","file_date_updated":"2024-02-06T13:56:15Z","quality_controlled":"1","page":"230-246.e11","intvolume":"       112","title":"Multipotent progenitors instruct ontogeny of the superior colliculus","article_processing_charge":"Yes (via OA deal)","date_created":"2023-04-27T09:41:48Z","department":[{"_id":"SiHi"},{"_id":"RySh"}],"publication_status":"published","issue":"2","author":[{"id":"471195F6-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8457-2572","full_name":"Cheung, Giselle T","first_name":"Giselle T","last_name":"Cheung"},{"full_name":"Pauler, Florian","orcid":"0000-0002-7462-0048","last_name":"Pauler","first_name":"Florian","id":"48EA0138-F248-11E8-B48F-1D18A9856A87"},{"id":"3B8B25A8-F248-11E8-B48F-1D18A9856A87","first_name":"Peter","last_name":"Koppensteiner","orcid":"0000-0002-3509-1948","full_name":"Koppensteiner, Peter"},{"full_name":"Krausgruber, Thomas","last_name":"Krausgruber","first_name":"Thomas"},{"first_name":"Carmen","last_name":"Streicher","full_name":"Streicher, Carmen","id":"36BCB99C-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Schrammel, Martin","last_name":"Schrammel","first_name":"Martin","id":"f13e7cae-e8bd-11ed-841a-96dedf69f46d"},{"first_name":"Natalie Y","last_name":"Özgen","full_name":"Özgen, Natalie Y","id":"e68ece33-f6e0-11ea-865d-ae1031dcc090"},{"id":"1d144691-e8be-11ed-9b33-bdd3077fad4c","full_name":"Ivec, Alexis","last_name":"Ivec","first_name":"Alexis"},{"first_name":"Christoph","last_name":"Bock","full_name":"Bock, Christoph"},{"id":"499F3ABC-F248-11E8-B48F-1D18A9856A87","full_name":"Shigemoto, Ryuichi","orcid":"0000-0001-8761-9444","last_name":"Shigemoto","first_name":"Ryuichi"},{"id":"37B36620-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-2279-1061","full_name":"Hippenmeyer, Simon","first_name":"Simon","last_name":"Hippenmeyer"}],"scopus_import":"1","_id":"12875","pmid":1,"ddc":["570"],"acknowledgement":"We thank Liqun Luo for his continued support, for providing essential resources for generating Fzd10-CreER mice which were generated in his laboratory, and for comments on the manuscript; W. Zhong for providing Nestin-Cre transgenic mouse line for this study; A. Heger for mouse colony management; R. Beattie and T. Asenov for designing and producing components of acute slice recovery chamber for MADM-CloneSeq experiments; and K. Leopold, J. Rodarte and N. Amberg for initial experiments, technical support and/or assistance. This study was supported by the Scientific Service Units (SSU) of IST Austria through resources provided by the Imaging & Optics Facility (IOF), Laboratory Support Facility (LSF), Miba Machine Shop, and Pre-clinical Facility (PCF). G.C. received funding from European Commission (IST plus postdoctoral fellowship). This work was supported by ISTA institutional\r\nfunds; the Austrian Science Fund Special Research Programmes (FWF SFB F78 Neuro Stem Modulation) to S.H. ","volume":112,"abstract":[{"text":"The superior colliculus (SC) in the mammalian midbrain is essential for multisensory integration and is composed of a rich diversity of excitatory and inhibitory neurons and glia. However, the developmental principles directing the generation of SC cell-type diversity are not understood. Here, we pursued systematic cell lineage tracing in silico and in vivo, preserving full spatial information, using genetic mosaic analysis with double markers (MADM)-based clonal analysis with single-cell sequencing (MADM-CloneSeq). The analysis of clonally related cell lineages revealed that radial glial progenitors (RGPs) in SC are exceptionally multipotent. Individual resident RGPs have the capacity to produce all excitatory and inhibitory SC neuron types, even at the stage of terminal division. While individual clonal units show no pre-defined cellular composition, the establishment of appropriate relative proportions of distinct neuronal types occurs in a PTEN-dependent manner. Collectively, our findings provide an inaugural framework at the single-RGP/-cell level of the mammalian SC ontogeny.","lang":"eng"}],"day":"17","doi":"10.1016/j.neuron.2023.11.009","external_id":{"pmid":["38096816"]},"year":"2024","date_updated":"2025-05-14T09:39:37Z"},{"acknowledgement":"This work was supported by the National Institutes of Health (R01 DA047258 and R01 NS102237 to C.E., F32 NS100392 to K.T.B.) and the Holland-Trice Brain Research Award (to C.E.). K.T.B. was supported by postdoctoral fellowships from the Foerster-Bernstein Family and The Hartwell Foundation. The Hippenmeyer lab was supported by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovations program (725780 LinPro) to S.H. R.E. was supported by Ministerio de Ciencia y Tecnología (RTI2018-093493-B-I00). We thank the Duke Light Microscopy Core Facility, the Duke Transgenic Mouse Facility, Dr. U. Schulte for assistance with proteomic experiments, and Dr. D. Silver for critical review of the manuscript. Cartoon elements of figure panels were created using BioRender.com.","volume":109,"isi":1,"external_id":{"isi":["000692851900010"],"pmid":["34171291"]},"date_updated":"2023-09-27T07:46:09Z","year":"2021","citation":{"ista":"Baldwin KT, Tan CX, Strader ST, Jiang C, Savage JT, Elorza-Vidal X, Contreras X, Rülicke T, Hippenmeyer S, Estévez R, Ji R-R, Eroglu C. 2021. HepaCAM controls astrocyte self-organization and coupling. Neuron. 109(15), 2427–2442.e10.","short":"K.T. Baldwin, C.X. Tan, S.T. Strader, C. Jiang, J.T. Savage, X. Elorza-Vidal, X. Contreras, T. Rülicke, S. Hippenmeyer, R. Estévez, R.-R. Ji, C. Eroglu, Neuron 109 (2021) 2427–2442.e10.","mla":"Baldwin, Katherine T., et al. “HepaCAM Controls Astrocyte Self-Organization and Coupling.” <i>Neuron</i>, vol. 109, no. 15, Elsevier, 2021, p. 2427–2442.e10, doi:<a href=\"https://doi.org/10.1016/j.neuron.2021.05.025\">10.1016/j.neuron.2021.05.025</a>.","ieee":"K. T. Baldwin <i>et al.</i>, “HepaCAM controls astrocyte self-organization and coupling,” <i>Neuron</i>, vol. 109, no. 15. Elsevier, p. 2427–2442.e10, 2021.","chicago":"Baldwin, Katherine T., Christabel X. Tan, Samuel T. Strader, Changyu Jiang, Justin T. Savage, Xabier Elorza-Vidal, Ximena Contreras, et al. “HepaCAM Controls Astrocyte Self-Organization and Coupling.” <i>Neuron</i>. Elsevier, 2021. <a href=\"https://doi.org/10.1016/j.neuron.2021.05.025\">https://doi.org/10.1016/j.neuron.2021.05.025</a>.","apa":"Baldwin, K. T., Tan, C. X., Strader, S. T., Jiang, C., Savage, J. T., Elorza-Vidal, X., … Eroglu, C. (2021). HepaCAM controls astrocyte self-organization and coupling. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2021.05.025\">https://doi.org/10.1016/j.neuron.2021.05.025</a>","ama":"Baldwin KT, Tan CX, Strader ST, et al. HepaCAM controls astrocyte self-organization and coupling. <i>Neuron</i>. 2021;109(15):2427-2442.e10. doi:<a href=\"https://doi.org/10.1016/j.neuron.2021.05.025\">10.1016/j.neuron.2021.05.025</a>"},"abstract":[{"lang":"eng","text":"Astrocytes extensively infiltrate the neuropil to regulate critical aspects of synaptic development and function. This process is regulated by transcellular interactions between astrocytes and neurons via cell adhesion molecules. How astrocytes coordinate developmental processes among one another to parse out the synaptic neuropil and form non-overlapping territories is unknown. Here we identify a molecular mechanism regulating astrocyte-astrocyte interactions during development to coordinate astrocyte morphogenesis and gap junction coupling. We show that hepaCAM, a disease-linked, astrocyte-enriched cell adhesion molecule, regulates astrocyte competition for territory and morphological complexity in the developing mouse cortex. Furthermore, conditional deletion of Hepacam from developing astrocytes significantly impairs gap junction coupling between astrocytes and disrupts the balance between synaptic excitation and inhibition. Mutations in HEPACAM cause megalencephalic leukoencephalopathy with subcortical cysts in humans. Therefore, our findings suggest that disruption of astrocyte self-organization mechanisms could be an underlying cause of neural pathology."}],"doi":"10.1016/j.neuron.2021.05.025","day":"04","page":"2427-2442.e10","ec_funded":1,"quality_controlled":"1","article_type":"original","publisher":"Elsevier","author":[{"first_name":"Katherine T.","last_name":"Baldwin","full_name":"Baldwin, Katherine T."},{"last_name":"Tan","first_name":"Christabel X.","full_name":"Tan, Christabel X."},{"first_name":"Samuel T.","last_name":"Strader","full_name":"Strader, Samuel T."},{"first_name":"Changyu","last_name":"Jiang","full_name":"Jiang, Changyu"},{"first_name":"Justin T.","last_name":"Savage","full_name":"Savage, Justin T."},{"full_name":"Elorza-Vidal, Xabier","first_name":"Xabier","last_name":"Elorza-Vidal"},{"first_name":"Ximena","last_name":"Contreras","full_name":"Contreras, Ximena","id":"475990FE-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Rülicke","first_name":"Thomas","full_name":"Rülicke, Thomas"},{"id":"37B36620-F248-11E8-B48F-1D18A9856A87","last_name":"Hippenmeyer","first_name":"Simon","full_name":"Hippenmeyer, Simon","orcid":"0000-0003-2279-1061"},{"last_name":"Estévez","first_name":"Raúl","full_name":"Estévez, Raúl"},{"full_name":"Ji, Ru-Rong","last_name":"Ji","first_name":"Ru-Rong"},{"last_name":"Eroglu","first_name":"Cagla","full_name":"Eroglu, Cagla"}],"issue":"15","_id":"9793","pmid":1,"scopus_import":"1","title":"HepaCAM controls astrocyte self-organization and coupling","intvolume":"       109","publication_status":"published","date_created":"2021-08-06T09:08:25Z","department":[{"_id":"SiHi"}],"article_processing_charge":"No","status":"public","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","main_file_link":[{"url":"https://doi.org/10.1016/j.neuron.2021.05.025","open_access":"1"}],"date_published":"2021-08-04T00:00:00Z","type":"journal_article","oa":1,"publication_identifier":{"issn":["0896-6273"],"eissn":["1097-4199"]},"language":[{"iso":"eng"}],"publication":"Neuron","month":"08","oa_version":"Published Version","project":[{"call_identifier":"H2020","_id":"260018B0-B435-11E9-9278-68D0E5697425","grant_number":"725780","name":"Principles of Neural Stem Cell Lineage Progression in Cerebral Cortex Development"}]},{"keyword":["General Neuroscience"],"language":[{"iso":"eng"}],"oa_version":"Published Version","month":"06","publication":"Neuron","main_file_link":[{"url":"https://doi.org/10.1016/j.neuron.2020.05.031","open_access":"1"}],"status":"public","user_id":"72615eeb-f1f3-11ec-aa25-d4573ddc34fd","publication_identifier":{"issn":["0896-6273"]},"oa":1,"type":"journal_article","date_published":"2020-06-17T00:00:00Z","publisher":"Elsevier","article_type":"review","quality_controlled":"1","page":"899-911","article_processing_charge":"No","date_created":"2022-04-07T07:43:36Z","publication_status":"published","intvolume":"       106","title":"Nuclear periphery takes center stage: The role of nuclear pore complexes in cell identity and aging","scopus_import":"1","_id":"11054","pmid":1,"issue":"6","author":[{"full_name":"Cho, Ukrae H.","last_name":"Cho","first_name":"Ukrae H."},{"id":"86c0d31b-b4eb-11ec-ac5a-eae7b2e135ed","orcid":"0000-0002-2111-992X","full_name":"HETZER, Martin W","first_name":"Martin W","last_name":"HETZER"}],"volume":106,"extern":"1","day":"17","doi":"10.1016/j.neuron.2020.05.031","abstract":[{"text":"In recent years, the nuclear pore complex (NPC) has emerged as a key player in genome regulation and cellular homeostasis. New discoveries have revealed that the NPC has multiple cellular functions besides mediating the molecular exchange between the nucleus and the cytoplasm. In this review, we discuss non-transport aspects of the NPC focusing on the NPC-genome interaction, the extreme longevity of the NPC proteins, and NPC dysfunction in age-related diseases. The examples summarized herein demonstrate that the NPC, which first evolved to enable the biochemical communication between the nucleus and the cytoplasm, now doubles as the gatekeeper of cellular identity and aging.","lang":"eng"}],"year":"2020","citation":{"ieee":"U. H. Cho and M. Hetzer, “Nuclear periphery takes center stage: The role of nuclear pore complexes in cell identity and aging,” <i>Neuron</i>, vol. 106, no. 6. Elsevier, pp. 899–911, 2020.","chicago":"Cho, Ukrae H., and Martin Hetzer. “Nuclear Periphery Takes Center Stage: The Role of Nuclear Pore Complexes in Cell Identity and Aging.” <i>Neuron</i>. Elsevier, 2020. <a href=\"https://doi.org/10.1016/j.neuron.2020.05.031\">https://doi.org/10.1016/j.neuron.2020.05.031</a>.","apa":"Cho, U. H., &#38; Hetzer, M. (2020). Nuclear periphery takes center stage: The role of nuclear pore complexes in cell identity and aging. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2020.05.031\">https://doi.org/10.1016/j.neuron.2020.05.031</a>","ama":"Cho UH, Hetzer M. Nuclear periphery takes center stage: The role of nuclear pore complexes in cell identity and aging. <i>Neuron</i>. 2020;106(6):899-911. doi:<a href=\"https://doi.org/10.1016/j.neuron.2020.05.031\">10.1016/j.neuron.2020.05.031</a>","ista":"Cho UH, Hetzer M. 2020. Nuclear periphery takes center stage: The role of nuclear pore complexes in cell identity and aging. Neuron. 106(6), 899–911.","mla":"Cho, Ukrae H., and Martin Hetzer. “Nuclear Periphery Takes Center Stage: The Role of Nuclear Pore Complexes in Cell Identity and Aging.” <i>Neuron</i>, vol. 106, no. 6, Elsevier, 2020, pp. 899–911, doi:<a href=\"https://doi.org/10.1016/j.neuron.2020.05.031\">10.1016/j.neuron.2020.05.031</a>.","short":"U.H. Cho, M. Hetzer, Neuron 106 (2020) 899–911."},"date_updated":"2022-07-18T08:29:35Z","external_id":{"pmid":["32553207"]}},{"scopus_import":"1","pmid":1,"_id":"8001","issue":"3","author":[{"id":"3AE48E0A-F248-11E8-B48F-1D18A9856A87","full_name":"Vandael, David H","orcid":"0000-0001-7577-1676","last_name":"Vandael","first_name":"David H"},{"last_name":"Borges Merjane","first_name":"Carolina","full_name":"Borges Merjane, Carolina","orcid":"0000-0003-0005-401X","id":"4305C450-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Xiaomin","last_name":"Zhang","full_name":"Zhang, Xiaomin","id":"423EC9C2-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Jonas","first_name":"Peter M","full_name":"Jonas, Peter M","orcid":"0000-0001-5001-4804","id":"353C1B58-F248-11E8-B48F-1D18A9856A87"}],"date_created":"2020-06-22T13:29:05Z","article_processing_charge":"No","department":[{"_id":"PeJo"}],"publication_status":"published","intvolume":"       107","title":"Short-term plasticity at hippocampal mossy fiber synapses is induced by natural activity patterns and associated with vesicle pool engram formation","ec_funded":1,"quality_controlled":"1","page":"509-521","file_date_updated":"2020-11-25T11:23:02Z","publisher":"Elsevier","article_type":"original","citation":{"short":"D.H. Vandael, C. Borges Merjane, X. Zhang, P.M. Jonas, Neuron 107 (2020) 509–521.","mla":"Vandael, David H., et al. “Short-Term Plasticity at Hippocampal Mossy Fiber Synapses Is Induced by Natural Activity Patterns and Associated with Vesicle Pool Engram Formation.” <i>Neuron</i>, vol. 107, no. 3, Elsevier, 2020, pp. 509–21, doi:<a href=\"https://doi.org/10.1016/j.neuron.2020.05.013\">10.1016/j.neuron.2020.05.013</a>.","ista":"Vandael DH, Borges Merjane C, Zhang X, Jonas PM. 2020. Short-term plasticity at hippocampal mossy fiber synapses is induced by natural activity patterns and associated with vesicle pool engram formation. Neuron. 107(3), 509–521.","apa":"Vandael, D. H., Borges Merjane, C., Zhang, X., &#38; Jonas, P. M. (2020). Short-term plasticity at hippocampal mossy fiber synapses is induced by natural activity patterns and associated with vesicle pool engram formation. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2020.05.013\">https://doi.org/10.1016/j.neuron.2020.05.013</a>","ama":"Vandael DH, Borges Merjane C, Zhang X, Jonas PM. Short-term plasticity at hippocampal mossy fiber synapses is induced by natural activity patterns and associated with vesicle pool engram formation. <i>Neuron</i>. 2020;107(3):509-521. doi:<a href=\"https://doi.org/10.1016/j.neuron.2020.05.013\">10.1016/j.neuron.2020.05.013</a>","chicago":"Vandael, David H, Carolina Borges Merjane, Xiaomin Zhang, and Peter M Jonas. “Short-Term Plasticity at Hippocampal Mossy Fiber Synapses Is Induced by Natural Activity Patterns and Associated with Vesicle Pool Engram Formation.” <i>Neuron</i>. Elsevier, 2020. <a href=\"https://doi.org/10.1016/j.neuron.2020.05.013\">https://doi.org/10.1016/j.neuron.2020.05.013</a>.","ieee":"D. H. Vandael, C. Borges Merjane, X. Zhang, and P. M. Jonas, “Short-term plasticity at hippocampal mossy fiber synapses is induced by natural activity patterns and associated with vesicle pool engram formation,” <i>Neuron</i>, vol. 107, no. 3. Elsevier, pp. 509–521, 2020."},"year":"2020","date_updated":"2023-08-22T07:45:25Z","external_id":{"pmid":["32492366"],"isi":["000556135600004"]},"isi":1,"day":"05","doi":"10.1016/j.neuron.2020.05.013","abstract":[{"lang":"eng","text":"Post-tetanic potentiation (PTP) is an attractive candidate mechanism for hippocampus-dependent short-term memory. Although PTP has a uniquely large magnitude at hippocampal mossy fiber-CA3 pyramidal neuron synapses, it is unclear whether it can be induced by natural activity and whether its lifetime is sufficient to support short-term memory. We combined in vivo recordings from granule cells (GCs), in vitro paired recordings from mossy fiber terminals and postsynaptic CA3 neurons, and “flash and freeze” electron microscopy. PTP was induced at single synapses and showed a low induction threshold adapted to sparse GC activity in vivo. PTP was mainly generated by enlargement of the readily releasable pool of synaptic vesicles, allowing multiplicative interaction with other plasticity forms. PTP was associated with an increase in the docked vesicle pool, suggesting formation of structural “pool engrams.” Absence of presynaptic activity extended the lifetime of the potentiation, enabling prolonged information storage in the hippocampal network."}],"acknowledgement":"This project received funding from the European Research Council (ERC) under the European Union Horizon 2020 Research and Innovation Program (grant agreement 692692 to P.J.) and the Fond zur Förderung der Wissenschaftlichen Forschung ( Z 312-B27 , Wittgenstein award to P.J. and V 739-B27 to C.B.-M.). We thank Drs. Jozsef Csicsvari, Jose Guzman, Erwin Neher, and Ryuichi Shigemoto for commenting on earlier versions of the manuscript. We are grateful to Walter Kaufmann, Daniel Gütl, and Vanessa Zheden for EM training; Alois Schlögl for programming; Florian Marr for excellent technical assistance and cell reconstruction; Christina Altmutter for technical help; Eleftheria Kralli-Beller for manuscript editing; Taija Makinen for providing the Prox1-CreERT2 mouse line; and the Scientific Service Units of IST Austria for support.","volume":107,"ddc":["570"],"has_accepted_license":"1","publication":"Neuron","project":[{"grant_number":"692692","name":"Biophysics and circuit function of a giant cortical glumatergic synapse","_id":"25B7EB9E-B435-11E9-9278-68D0E5697425","call_identifier":"H2020"},{"_id":"25C5A090-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","grant_number":"Z00312","name":"The Wittgenstein Prize"},{"_id":"2696E7FE-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","grant_number":"V00739","name":"Structural plasticity at mossy fiber-CA3 synapses"}],"acknowledged_ssus":[{"_id":"SSU"}],"oa_version":"Published Version","month":"08","language":[{"iso":"eng"}],"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode","short":"CC BY-NC-ND (4.0)","name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","image":"/images/cc_by_nc_nd.png"},"type":"journal_article","date_published":"2020-08-05T00:00:00Z","publication_identifier":{"eissn":["10974199"],"issn":["0896-6273"]},"oa":1,"file":[{"access_level":"open_access","success":1,"relation":"main_file","file_id":"8811","creator":"dernst","date_created":"2020-11-25T11:23:02Z","file_size":4390833,"checksum":"4030b2be0c9625d54694a1e9fb00305e","date_updated":"2020-11-25T11:23:02Z","file_name":"2020_Neuron_Vandael.pdf","content_type":"application/pdf"}],"status":"public","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","related_material":{"link":[{"description":"News on IST Homepage","relation":"press_release","url":"https://ist.ac.at/en/news/possible-physical-trace-of-short-term-memory-found/"}]}},{"date_updated":"2023-08-22T08:20:11Z","citation":{"ieee":"S. Laukoter <i>et al.</i>, “Cell-type specificity of genomic imprinting in cerebral cortex,” <i>Neuron</i>, vol. 107, no. 6. Elsevier, p. 1160–1179.e9, 2020.","chicago":"Laukoter, Susanne, Florian Pauler, Robert J Beattie, Nicole Amberg, Andi H Hansen, Carmen Streicher, Thomas Penz, Christoph Bock, and Simon Hippenmeyer. “Cell-Type Specificity of Genomic Imprinting in Cerebral Cortex.” <i>Neuron</i>. Elsevier, 2020. <a href=\"https://doi.org/10.1016/j.neuron.2020.06.031\">https://doi.org/10.1016/j.neuron.2020.06.031</a>.","apa":"Laukoter, S., Pauler, F., Beattie, R. J., Amberg, N., Hansen, A. H., Streicher, C., … Hippenmeyer, S. (2020). Cell-type specificity of genomic imprinting in cerebral cortex. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2020.06.031\">https://doi.org/10.1016/j.neuron.2020.06.031</a>","ama":"Laukoter S, Pauler F, Beattie RJ, et al. Cell-type specificity of genomic imprinting in cerebral cortex. <i>Neuron</i>. 2020;107(6):1160-1179.e9. doi:<a href=\"https://doi.org/10.1016/j.neuron.2020.06.031\">10.1016/j.neuron.2020.06.031</a>","ista":"Laukoter S, Pauler F, Beattie RJ, Amberg N, Hansen AH, Streicher C, Penz T, Bock C, Hippenmeyer S. 2020. Cell-type specificity of genomic imprinting in cerebral cortex. Neuron. 107(6), 1160–1179.e9.","mla":"Laukoter, Susanne, et al. “Cell-Type Specificity of Genomic Imprinting in Cerebral Cortex.” <i>Neuron</i>, vol. 107, no. 6, Elsevier, 2020, p. 1160–1179.e9, doi:<a href=\"https://doi.org/10.1016/j.neuron.2020.06.031\">10.1016/j.neuron.2020.06.031</a>.","short":"S. Laukoter, F. Pauler, R.J. Beattie, N. Amberg, A.H. Hansen, C. Streicher, T. Penz, C. Bock, S. Hippenmeyer, Neuron 107 (2020) 1160–1179.e9."},"year":"2020","isi":1,"external_id":{"isi":["000579698700006"]},"doi":"10.1016/j.neuron.2020.06.031","day":"23","abstract":[{"lang":"eng","text":"In mammalian genomes, a subset of genes is regulated by genomic imprinting, resulting in silencing of one parental allele. Imprinting is essential for cerebral cortex development, but prevalence and functional impact in individual cells is unclear. Here, we determined allelic expression in cortical cell types and established a quantitative platform to interrogate imprinting in single cells. We created cells with uniparental chromosome disomy (UPD) containing two copies of either the maternal or the paternal chromosome; hence, imprinted genes will be 2-fold overexpressed or not expressed. By genetic labeling of UPD, we determined cellular phenotypes and transcriptional responses to deregulated imprinted gene expression at unprecedented single-cell resolution. We discovered an unexpected degree of cell-type specificity and a novel function of imprinting in the regulation of cortical astrocyte survival. More generally, our results suggest functional relevance of imprinted gene expression in glial astrocyte lineage and thus for generating cortical cell-type diversity."}],"acknowledgement":"We thank A. Heger (IST Austria Preclinical Facility), A. Sommer and C. Czepe (VBCF GmbH, NGS Unit), and A. Seitz and P. Moll (Lexogen GmbH) for technical support; G. Arque, S. Resch, C. Igler, C. Dotter, C. Yahya, Q. Hudson, and D. Andergassen for initial experiments and/or assistance; D. Barlow, O. Bell, and all members of the Hippenmeyer lab for discussion; and N. Barton, B. Vicoso, M. Sixt, and L. Luo for comments on earlier versions of the manuscript. This research was supported by the Scientific Service Units (SSU) of IST Austria through resources provided by the Bioimaging Facilities (BIF), Life Science Facilities (LSF), and Preclinical Facilities (PCF). A.H.H. is a recipient of a DOC fellowship (24812) of the Austrian Academy of Sciences. N.A. received support from the FWF Firnberg-Programm (T 1031). R.B. received support from the FWF Meitner-Programm (M 2416). This work was also supported by IST Austria institutional funds; a NÖ Forschung und Bildung n[f+b] life science call grant (C13-002) to S.H.; a program grant from the Human Frontiers Science Program (RGP0053/2014) to S.H.; the People Programme (Marie Curie Actions) of the European Union’s Seventh Framework Programme (FP7/2007-2013) under REA grant agreement 618444 to S.H.; and the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement 725780 LinPro) to S.H.","volume":107,"ddc":["570"],"_id":"8162","scopus_import":"1","author":[{"first_name":"Susanne","last_name":"Laukoter","orcid":"0000-0002-7903-3010","full_name":"Laukoter, Susanne","id":"2D6B7A9A-F248-11E8-B48F-1D18A9856A87"},{"orcid":"0000-0002-7462-0048","full_name":"Pauler, Florian","first_name":"Florian","last_name":"Pauler","id":"48EA0138-F248-11E8-B48F-1D18A9856A87"},{"id":"2E26DF60-F248-11E8-B48F-1D18A9856A87","last_name":"Beattie","first_name":"Robert J","full_name":"Beattie, Robert J","orcid":"0000-0002-8483-8753"},{"id":"4CD6AAC6-F248-11E8-B48F-1D18A9856A87","first_name":"Nicole","last_name":"Amberg","orcid":"0000-0002-3183-8207","full_name":"Amberg, Nicole"},{"id":"38853E16-F248-11E8-B48F-1D18A9856A87","first_name":"Andi H","last_name":"Hansen","full_name":"Hansen, Andi H"},{"id":"36BCB99C-F248-11E8-B48F-1D18A9856A87","first_name":"Carmen","last_name":"Streicher","full_name":"Streicher, Carmen"},{"last_name":"Penz","first_name":"Thomas","full_name":"Penz, Thomas"},{"last_name":"Bock","first_name":"Christoph","full_name":"Bock, Christoph","orcid":"0000-0001-6091-3088"},{"first_name":"Simon","last_name":"Hippenmeyer","orcid":"0000-0003-2279-1061","full_name":"Hippenmeyer, Simon","id":"37B36620-F248-11E8-B48F-1D18A9856A87"}],"issue":"6","publication_status":"published","department":[{"_id":"SiHi"}],"article_processing_charge":"No","date_created":"2020-07-23T16:03:12Z","title":"Cell-type specificity of genomic imprinting in cerebral cortex","intvolume":"       107","page":"1160-1179.e9","ec_funded":1,"quality_controlled":"1","file_date_updated":"2020-12-02T09:26:46Z","publisher":"Elsevier","article_type":"original","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode","short":"CC BY-NC-ND (4.0)","name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","image":"/images/cc_by_nc_nd.png"},"date_published":"2020-09-23T00:00:00Z","type":"journal_article","publication_identifier":{"issn":["0896-6273"]},"oa":1,"file":[{"date_updated":"2020-12-02T09:26:46Z","content_type":"application/pdf","file_name":"2020_Neuron_Laukoter.pdf","date_created":"2020-12-02T09:26:46Z","checksum":"7becdc16a6317304304631087ae7dd7f","file_size":8911830,"file_id":"8828","creator":"dernst","relation":"main_file","access_level":"open_access","success":1}],"status":"public","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","related_material":{"link":[{"url":"https://ist.ac.at/en/news/cells-react-differently-to-genomic-imprinting/","description":"News on IST Website","relation":"press_release"}]},"publication":"Neuron","has_accepted_license":"1","oa_version":"Published Version","acknowledged_ssus":[{"_id":"Bio"},{"_id":"LifeSc"},{"_id":"PreCl"}],"project":[{"name":"Molecular Mechanisms of Radial Neuronal Migration","grant_number":"24812","_id":"2625A13E-B435-11E9-9278-68D0E5697425"},{"call_identifier":"FWF","_id":"268F8446-B435-11E9-9278-68D0E5697425","grant_number":"T0101031","name":"Role of Eed in neural stem cell lineage progression"},{"grant_number":"M02416","name":"Molecular Mechanisms Regulating Gliogenesis in the Cerebral Cortex","_id":"264E56E2-B435-11E9-9278-68D0E5697425","call_identifier":"FWF"},{"name":"Mapping Cell-Type Specificity of the Genomic Imprintome in the Brain","grant_number":"LS13-002","_id":"25D92700-B435-11E9-9278-68D0E5697425"},{"name":"Quantitative Structure-Function Analysis of Cerebral Cortex Assembly at Clonal Level","grant_number":"RGP0053/2014","_id":"25D7962E-B435-11E9-9278-68D0E5697425"},{"name":"Molecular Mechanisms of Cerebral Cortex Development","grant_number":"618444","call_identifier":"FP7","_id":"25D61E48-B435-11E9-9278-68D0E5697425"},{"name":"Principles of Neural Stem Cell Lineage Progression in Cerebral Cortex Development","grant_number":"725780","_id":"260018B0-B435-11E9-9278-68D0E5697425","call_identifier":"H2020"}],"month":"09","language":[{"iso":"eng"}]},{"abstract":[{"text":"Dentate gyrus granule cells (GCs) connect the entorhinal cortex to the hippocampal CA3 region, but how they process spatial information remains enigmatic. To examine the role of GCs in spatial coding, we measured excitatory postsynaptic potentials (EPSPs) and action potentials (APs) in head-fixed mice running on a linear belt. Intracellular recording from morphologically identified GCs revealed that most cells were active, but activity level varied over a wide range. Whereas only ∼5% of GCs showed spatially tuned spiking, ∼50% received spatially tuned input. Thus, the GC population broadly encodes spatial information, but only a subset relays this information to the CA3 network. Fourier analysis indicated that GCs received conjunctive place-grid-like synaptic input, suggesting code conversion in single neurons. GC firing was correlated with dendritic complexity and intrinsic excitability, but not extrinsic excitatory input or dendritic cable properties. Thus, functional maturation may control input-output transformation and spatial code conversion.","lang":"eng"}],"day":"23","doi":"10.1016/j.neuron.2020.07.006","external_id":{"isi":["000579698700009"],"pmid":["32763145"]},"isi":1,"citation":{"apa":"Zhang, X., Schlögl, A., &#38; Jonas, P. M. (2020). Selective routing of spatial information flow from input to output in hippocampal granule cells. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2020.07.006\">https://doi.org/10.1016/j.neuron.2020.07.006</a>","ama":"Zhang X, Schlögl A, Jonas PM. Selective routing of spatial information flow from input to output in hippocampal granule cells. <i>Neuron</i>. 2020;107(6):1212-1225. doi:<a href=\"https://doi.org/10.1016/j.neuron.2020.07.006\">10.1016/j.neuron.2020.07.006</a>","chicago":"Zhang, Xiaomin, Alois Schlögl, and Peter M Jonas. “Selective Routing of Spatial Information Flow from Input to Output in Hippocampal Granule Cells.” <i>Neuron</i>. Elsevier, 2020. <a href=\"https://doi.org/10.1016/j.neuron.2020.07.006\">https://doi.org/10.1016/j.neuron.2020.07.006</a>.","ieee":"X. Zhang, A. Schlögl, and P. M. Jonas, “Selective routing of spatial information flow from input to output in hippocampal granule cells,” <i>Neuron</i>, vol. 107, no. 6. Elsevier, pp. 1212–1225, 2020.","short":"X. Zhang, A. Schlögl, P.M. Jonas, Neuron 107 (2020) 1212–1225.","mla":"Zhang, Xiaomin, et al. “Selective Routing of Spatial Information Flow from Input to Output in Hippocampal Granule Cells.” <i>Neuron</i>, vol. 107, no. 6, Elsevier, 2020, pp. 1212–25, doi:<a href=\"https://doi.org/10.1016/j.neuron.2020.07.006\">10.1016/j.neuron.2020.07.006</a>.","ista":"Zhang X, Schlögl A, Jonas PM. 2020. Selective routing of spatial information flow from input to output in hippocampal granule cells. Neuron. 107(6), 1212–1225."},"year":"2020","date_updated":"2023-08-22T08:30:55Z","ddc":["570"],"acknowledgement":"This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement 692692, P.J.) and the Fond zur Förderung der Wissenschaftlichen Forschung (Z 312-B27, Wittgenstein award, P.J.). We thank Gyorgy Buzsáki, Jozsef Csicsvari, Juan Ramirez Villegas, and Federico Stella for commenting on earlier versions of this manuscript. We also thank Katie Bittner, Michael Brecht, Albert Lee, Jeffery Magee, and Alejandro Pernía-Andrade for sharing expertise in in vivo patch-clamp recording. We are grateful to Florian Marr for cell labeling, cell reconstruction, and technical assistance; Ben Suter for helpful discussions; Christina Altmutter for technical support; Eleftheria Kralli-Beller for manuscript editing; and Todor Asenov (Machine Shop) for device construction. We also thank the Scientific Service Units (SSUs) of IST Austria (Machine Shop, Scientific Computing, and Preclinical Facility) for efficient support.","volume":107,"intvolume":"       107","title":"Selective routing of spatial information flow from input to output in hippocampal granule cells","date_created":"2020-08-14T09:36:05Z","article_processing_charge":"No","department":[{"_id":"PeJo"},{"_id":"ScienComp"}],"publication_status":"published","issue":"6","author":[{"last_name":"Zhang","first_name":"Xiaomin","full_name":"Zhang, Xiaomin","id":"423EC9C2-F248-11E8-B48F-1D18A9856A87"},{"id":"45BF87EE-F248-11E8-B48F-1D18A9856A87","first_name":"Alois","last_name":"Schlögl","orcid":"0000-0002-5621-8100","full_name":"Schlögl, Alois"},{"last_name":"Jonas","first_name":"Peter M","full_name":"Jonas, Peter M","orcid":"0000-0001-5001-4804","id":"353C1B58-F248-11E8-B48F-1D18A9856A87"}],"pmid":1,"_id":"8261","article_type":"original","publisher":"Elsevier","file_date_updated":"2020-12-04T09:29:21Z","ec_funded":1,"quality_controlled":"1","page":"1212-1225","oa":1,"publication_identifier":{"issn":["0896-6273"]},"type":"journal_article","date_published":"2020-09-23T00:00:00Z","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode","short":"CC BY-NC-ND (4.0)","name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","image":"/images/cc_by_nc_nd.png"},"related_material":{"link":[{"url":"https://ist.ac.at/en/news/the-bouncer-in-the-brain/","relation":"press_release","description":"News on IST Website"}]},"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","status":"public","file":[{"content_type":"application/pdf","file_name":"2020_Neuron_Zhang.pdf","date_updated":"2020-12-04T09:29:21Z","file_size":3011120,"checksum":"44a5960fc083a4cb3488d22224859fdc","date_created":"2020-12-04T09:29:21Z","creator":"dernst","file_id":"8920","success":1,"access_level":"open_access","relation":"main_file"}],"month":"09","project":[{"name":"Biophysics and circuit function of a giant cortical glumatergic synapse","grant_number":"692692","_id":"25B7EB9E-B435-11E9-9278-68D0E5697425","call_identifier":"H2020"},{"name":"The Wittgenstein Prize","grant_number":"Z00312","call_identifier":"FWF","_id":"25C5A090-B435-11E9-9278-68D0E5697425"}],"acknowledged_ssus":[{"_id":"M-Shop"},{"_id":"ScienComp"},{"_id":"PreCl"}],"oa_version":"Published Version","has_accepted_license":"1","publication":"Neuron","language":[{"iso":"eng"}]},{"quality_controlled":"1","ec_funded":1,"page":"P154-165.e6","publisher":"Elsevier","article_type":"original","scopus_import":"1","_id":"7472","pmid":1,"issue":"1","author":[{"last_name":"Käfer","first_name":"Karola","full_name":"Käfer, Karola","id":"2DAA49AA-F248-11E8-B48F-1D18A9856A87"},{"id":"30BD0376-F248-11E8-B48F-1D18A9856A87","last_name":"Nardin","first_name":"Michele","full_name":"Nardin, Michele","orcid":"0000-0001-8849-6570"},{"id":"3EA859AE-F248-11E8-B48F-1D18A9856A87","first_name":"Karel","last_name":"Blahna","full_name":"Blahna, Karel"},{"id":"3FA14672-F248-11E8-B48F-1D18A9856A87","full_name":"Csicsvari, Jozsef L","orcid":"0000-0002-5193-4036","last_name":"Csicsvari","first_name":"Jozsef L"}],"article_processing_charge":"No","department":[{"_id":"JoCs"}],"date_created":"2020-02-10T15:45:48Z","publication_status":"published","intvolume":"       106","title":"Replay of behavioral sequences in the medial prefrontal cortex during rule switching","volume":106,"acknowledgement":"We thank Todor Asenov and Thomas Menner from the Machine Shop for the drive design and production, Hugo Malagon-Vina for assistance in maze automatization, Jago Wallenschus for taking the images of the histology, and Federico Stella and Juan Felipe Ramirez-Villegas for comments on an earlier version of the manuscript. This work was supported by the EU-FP7 MC-ITN IN-SENS (grant 607616 ).","year":"2020","citation":{"short":"K. Käfer, M. Nardin, K. Blahna, J.L. Csicsvari, Neuron 106 (2020) P154–165.e6.","mla":"Käfer, Karola, et al. “Replay of Behavioral Sequences in the Medial Prefrontal Cortex during Rule Switching.” <i>Neuron</i>, vol. 106, no. 1, Elsevier, 2020, p. P154–165.e6, doi:<a href=\"https://doi.org/10.1016/j.neuron.2020.01.015\">10.1016/j.neuron.2020.01.015</a>.","ista":"Käfer K, Nardin M, Blahna K, Csicsvari JL. 2020. Replay of behavioral sequences in the medial prefrontal cortex during rule switching. Neuron. 106(1), P154–165.e6.","ama":"Käfer K, Nardin M, Blahna K, Csicsvari JL. Replay of behavioral sequences in the medial prefrontal cortex during rule switching. <i>Neuron</i>. 2020;106(1):P154-165.e6. doi:<a href=\"https://doi.org/10.1016/j.neuron.2020.01.015\">10.1016/j.neuron.2020.01.015</a>","apa":"Käfer, K., Nardin, M., Blahna, K., &#38; Csicsvari, J. L. (2020). Replay of behavioral sequences in the medial prefrontal cortex during rule switching. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2020.01.015\">https://doi.org/10.1016/j.neuron.2020.01.015</a>","chicago":"Käfer, Karola, Michele Nardin, Karel Blahna, and Jozsef L Csicsvari. “Replay of Behavioral Sequences in the Medial Prefrontal Cortex during Rule Switching.” <i>Neuron</i>. Elsevier, 2020. <a href=\"https://doi.org/10.1016/j.neuron.2020.01.015\">https://doi.org/10.1016/j.neuron.2020.01.015</a>.","ieee":"K. Käfer, M. Nardin, K. Blahna, and J. L. Csicsvari, “Replay of behavioral sequences in the medial prefrontal cortex during rule switching,” <i>Neuron</i>, vol. 106, no. 1. Elsevier, p. P154–165.e6, 2020."},"date_updated":"2023-08-17T14:38:02Z","external_id":{"isi":["000525319300016"],"pmid":["32032512"]},"isi":1,"day":"08","doi":"10.1016/j.neuron.2020.01.015","abstract":[{"lang":"eng","text":"Temporally organized reactivation of experiences during awake immobility periods is thought to underlie cognitive processes like planning and evaluation. While replay of trajectories is well established for the hippocampus, it is unclear whether the medial prefrontal cortex (mPFC) can reactivate sequential behavioral experiences in the awake state to support task execution. We simultaneously recorded from hippocampal and mPFC principal neurons in rats performing a mPFC-dependent rule-switching task on a plus maze. We found that mPFC neuronal activity encoded relative positions between the start and goal. During awake immobility periods, the mPFC replayed temporally organized sequences of these generalized positions, resembling entire spatial trajectories. The occurrence of mPFC trajectory replay positively correlated with rule-switching performance. However, hippocampal and mPFC trajectory replay occurred independently, indicating different functions. These results demonstrate that the mPFC can replay ordered activity patterns representing generalized locations and suggest that mPFC replay might have a role in flexible behavior."}],"language":[{"iso":"eng"}],"publication":"Neuron","project":[{"grant_number":"607616","name":"Inter-and intracellular signalling in schizophrenia","call_identifier":"FP7","_id":"257BBB4C-B435-11E9-9278-68D0E5697425"}],"acknowledged_ssus":[{"_id":"M-Shop"}],"oa_version":"Published Version","month":"04","main_file_link":[{"url":"https://doi.org/10.1016/j.neuron.2020.01.015","open_access":"1"}],"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","status":"public","related_material":{"link":[{"relation":"press_release","description":"News on IST Homepage","url":"https://ist.ac.at/en/news/this-brain-area-helps-us-decide/"}]},"type":"journal_article","date_published":"2020-04-08T00:00:00Z","publication_identifier":{"issn":["0896-6273"]},"oa":1},{"volume":105,"acknowledgement":"This project has received funding from the European Research Council (ERC) and European Commission (EC), under the European Union’s Horizon 2020 research and innovation programme (ERC grant agreement No. 692692 and Marie Sklodowska-Curie 708497) and from Fonds zur Förderung der Wissenschaftlichen Forschung (Z 312-B27 Wittgenstein award and DK W1205-B09). We thank Johann Danzl and Ryuichi Shigemoto for critically reading the manuscript; Walter Kaufmann, Daniel Gutl, and Vanessa Zheden for extensive EM training, advice, and experimental assistance; Benjamin Suter for substantial help with light stimulation, ImageJ plugins for analysis, and manuscript editing; Florian Marr and Christina Altmutter for technical support; Eleftheria Kralli-Beller for manuscript editing; Julia König and Paul Wurzinger (Leica Microsystems) for helpful technical discussions; and Taija Makinen for providing the Prox1-CreERT2 mouse line.","ddc":["570"],"day":"18","doi":"10.1016/j.neuron.2019.12.022","abstract":[{"text":"How structural and functional properties of synapses relate to each other is a fundamental question in neuroscience. Electrophysiology has elucidated mechanisms of synaptic transmission, and electron microscopy (EM) has provided insight into morphological properties of synapses. Here we describe an enhanced method for functional EM (“flash and freeze”), combining optogenetic stimulation with high-pressure freezing. We demonstrate that the improved method can be applied to intact networks in acute brain slices and organotypic slice cultures from mice. As a proof of concept, we probed vesicle pool changes during synaptic transmission at the hippocampal mossy fiber-CA3 pyramidal neuron synapse. Our findings show overlap of the docked vesicle pool and the functionally defined readily releasable pool and provide evidence of fast endocytosis at this synapse. Functional EM with acute slices and slice cultures has the potential to reveal the structural and functional mechanisms of transmission in intact, genetically perturbed, and disease-affected synapses.","lang":"eng"}],"citation":{"chicago":"Borges Merjane, Carolina, Olena Kim, and Peter M Jonas. “Functional Electron Microscopy (‘Flash and Freeze’) of Identified Cortical Synapses in Acute Brain Slices.” <i>Neuron</i>. Elsevier, 2020. <a href=\"https://doi.org/10.1016/j.neuron.2019.12.022\">https://doi.org/10.1016/j.neuron.2019.12.022</a>.","ieee":"C. Borges Merjane, O. Kim, and P. M. Jonas, “Functional electron microscopy (‘Flash and Freeze’) of identified cortical synapses in acute brain slices,” <i>Neuron</i>, vol. 105. Elsevier, pp. 992–1006, 2020.","apa":"Borges Merjane, C., Kim, O., &#38; Jonas, P. M. (2020). Functional electron microscopy (“Flash and Freeze”) of identified cortical synapses in acute brain slices. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2019.12.022\">https://doi.org/10.1016/j.neuron.2019.12.022</a>","ama":"Borges Merjane C, Kim O, Jonas PM. Functional electron microscopy (“Flash and Freeze”) of identified cortical synapses in acute brain slices. <i>Neuron</i>. 2020;105:992-1006. doi:<a href=\"https://doi.org/10.1016/j.neuron.2019.12.022\">10.1016/j.neuron.2019.12.022</a>","ista":"Borges Merjane C, Kim O, Jonas PM. 2020. Functional electron microscopy (“Flash and Freeze”) of identified cortical synapses in acute brain slices. Neuron. 105, 992–1006.","mla":"Borges Merjane, Carolina, et al. “Functional Electron Microscopy (‘Flash and Freeze’) of Identified Cortical Synapses in Acute Brain Slices.” <i>Neuron</i>, vol. 105, Elsevier, 2020, pp. 992–1006, doi:<a href=\"https://doi.org/10.1016/j.neuron.2019.12.022\">10.1016/j.neuron.2019.12.022</a>.","short":"C. Borges Merjane, O. Kim, P.M. Jonas, Neuron 105 (2020) 992–1006."},"year":"2020","date_updated":"2024-03-25T23:30:04Z","external_id":{"isi":["000520854700008"],"pmid":["31928842"]},"isi":1,"publisher":"Elsevier","article_type":"original","ec_funded":1,"quality_controlled":"1","page":"992-1006","file_date_updated":"2020-11-20T08:58:53Z","article_processing_charge":"No","department":[{"_id":"PeJo"}],"date_created":"2020-02-10T15:59:45Z","publication_status":"published","intvolume":"       105","title":"Functional electron microscopy (“Flash and Freeze”) of identified cortical synapses in acute brain slices","scopus_import":"1","pmid":1,"_id":"7473","author":[{"id":"4305C450-F248-11E8-B48F-1D18A9856A87","first_name":"Carolina","last_name":"Borges Merjane","orcid":"0000-0003-0005-401X","full_name":"Borges Merjane, Carolina"},{"id":"3F8ABDDA-F248-11E8-B48F-1D18A9856A87","last_name":"Kim","first_name":"Olena","full_name":"Kim, Olena"},{"id":"353C1B58-F248-11E8-B48F-1D18A9856A87","full_name":"Jonas, Peter M","orcid":"0000-0001-5001-4804","last_name":"Jonas","first_name":"Peter M"}],"file":[{"success":1,"access_level":"open_access","relation":"main_file","file_id":"8778","creator":"dernst","date_created":"2020-11-20T08:58:53Z","checksum":"3582664addf26859e86ac5bec3e01416","file_size":9712957,"date_updated":"2020-11-20T08:58:53Z","file_name":"2020_Neuron_BorgesMerjane.pdf","content_type":"application/pdf"}],"related_material":{"link":[{"url":"https://ist.ac.at/en/news/flash-and-freeze-reveals-dynamics-of-nerve-connections/","relation":"press_release","description":"News on IST Homepage"}],"record":[{"status":"public","relation":"dissertation_contains","id":"11196"}]},"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","status":"public","publication_identifier":{"issn":["0896-6273"]},"oa":1,"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode","short":"CC BY-NC-ND (4.0)","name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","image":"/images/cc_by_nc_nd.png"},"type":"journal_article","date_published":"2020-03-18T00:00:00Z","language":[{"iso":"eng"}],"project":[{"_id":"25B7EB9E-B435-11E9-9278-68D0E5697425","call_identifier":"H2020","grant_number":"692692","name":"Biophysics and circuit function of a giant cortical glumatergic synapse"},{"_id":"25BAF7B2-B435-11E9-9278-68D0E5697425","call_identifier":"H2020","name":"Presynaptic calcium channels distribution and impact on coupling at the hippocampal mossy fiber synapse","grant_number":"708497"},{"grant_number":"Z00312","name":"The Wittgenstein Prize","call_identifier":"FWF","_id":"25C5A090-B435-11E9-9278-68D0E5697425"},{"call_identifier":"FWF","_id":"25C3DBB6-B435-11E9-9278-68D0E5697425","name":"Zellkommunikation in Gesundheit und Krankheit","grant_number":"W01205"}],"oa_version":"Published Version","month":"03","has_accepted_license":"1","publication":"Neuron"},{"file_date_updated":"2020-07-14T12:48:00Z","page":"106-121.e10","quality_controlled":"1","article_type":"original","publisher":"Cell Press","author":[{"full_name":"Beets, Isabel","last_name":"Beets","first_name":"Isabel"},{"full_name":"Zhang, Gaotian","last_name":"Zhang","first_name":"Gaotian"},{"full_name":"Fenk, Lorenz A.","last_name":"Fenk","first_name":"Lorenz A."},{"first_name":"Changchun","last_name":"Chen","full_name":"Chen, Changchun"},{"first_name":"Geoffrey M.","last_name":"Nelson","full_name":"Nelson, Geoffrey M."},{"full_name":"Félix, Marie-Anne","first_name":"Marie-Anne","last_name":"Félix"},{"orcid":"0000-0001-8347-0443","full_name":"de Bono, Mario","first_name":"Mario","last_name":"de Bono","id":"4E3FF80E-F248-11E8-B48F-1D18A9856A87"}],"issue":"1","pmid":1,"_id":"7546","title":"Natural variation in a dendritic scaffold protein remodels experience-dependent plasticity by altering neuropeptide expression","intvolume":"       105","publication_status":"published","department":[{"_id":"MaDe"}],"date_created":"2020-02-28T10:43:39Z","article_processing_charge":"No","ddc":["570"],"volume":105,"isi":1,"external_id":{"isi":["000507341300012"],"pmid":["31757604"]},"date_updated":"2023-08-18T06:46:23Z","citation":{"chicago":"Beets, Isabel, Gaotian Zhang, Lorenz A. Fenk, Changchun Chen, Geoffrey M. Nelson, Marie-Anne Félix, and Mario de Bono. “Natural Variation in a Dendritic Scaffold Protein Remodels Experience-Dependent Plasticity by Altering Neuropeptide Expression.” <i>Neuron</i>. Cell Press, 2020. <a href=\"https://doi.org/10.1016/j.neuron.2019.10.001\">https://doi.org/10.1016/j.neuron.2019.10.001</a>.","ieee":"I. Beets <i>et al.</i>, “Natural variation in a dendritic scaffold protein remodels experience-dependent plasticity by altering neuropeptide expression,” <i>Neuron</i>, vol. 105, no. 1. Cell Press, p. 106–121.e10, 2020.","ama":"Beets I, Zhang G, Fenk LA, et al. Natural variation in a dendritic scaffold protein remodels experience-dependent plasticity by altering neuropeptide expression. <i>Neuron</i>. 2020;105(1):106-121.e10. doi:<a href=\"https://doi.org/10.1016/j.neuron.2019.10.001\">10.1016/j.neuron.2019.10.001</a>","apa":"Beets, I., Zhang, G., Fenk, L. A., Chen, C., Nelson, G. M., Félix, M.-A., &#38; de Bono, M. (2020). Natural variation in a dendritic scaffold protein remodels experience-dependent plasticity by altering neuropeptide expression. <i>Neuron</i>. Cell Press. <a href=\"https://doi.org/10.1016/j.neuron.2019.10.001\">https://doi.org/10.1016/j.neuron.2019.10.001</a>","ista":"Beets I, Zhang G, Fenk LA, Chen C, Nelson GM, Félix M-A, de Bono M. 2020. Natural variation in a dendritic scaffold protein remodels experience-dependent plasticity by altering neuropeptide expression. Neuron. 105(1), 106–121.e10.","mla":"Beets, Isabel, et al. “Natural Variation in a Dendritic Scaffold Protein Remodels Experience-Dependent Plasticity by Altering Neuropeptide Expression.” <i>Neuron</i>, vol. 105, no. 1, Cell Press, 2020, p. 106–121.e10, doi:<a href=\"https://doi.org/10.1016/j.neuron.2019.10.001\">10.1016/j.neuron.2019.10.001</a>.","short":"I. Beets, G. Zhang, L.A. Fenk, C. Chen, G.M. Nelson, M.-A. Félix, M. de Bono, Neuron 105 (2020) 106–121.e10."},"year":"2020","abstract":[{"text":"The extent to which behavior is shaped by experience varies between individuals. Genetic differences contribute to this variation, but the neural mechanisms are not understood. Here, we dissect natural variation in the behavioral flexibility of two Caenorhabditis elegans wild strains. In one strain, a memory of exposure to 21% O2 suppresses CO2-evoked locomotory arousal; in the other, CO2 evokes arousal regardless of previous O2 experience. We map that variation to a polymorphic dendritic scaffold protein, ARCP-1, expressed in sensory neurons. ARCP-1 binds the Ca2+-dependent phosphodiesterase PDE-1 and co-localizes PDE-1 with molecular sensors for CO2 at dendritic ends. Reducing ARCP-1 or PDE-1 activity promotes CO2 escape by altering neuropeptide expression in the BAG CO2 sensors. Variation in ARCP-1 alters behavioral plasticity in multiple paradigms. Our findings are reminiscent of genetic accommodation, an evolutionary process by which phenotypic flexibility in response to environmental variation is reset by genetic change.","lang":"eng"}],"doi":"10.1016/j.neuron.2019.10.001","day":"08","language":[{"iso":"eng"}],"publication":"Neuron","has_accepted_license":"1","month":"01","oa_version":"Published Version","status":"public","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","file":[{"access_level":"open_access","relation":"main_file","creator":"dernst","file_id":"7558","file_size":3294066,"checksum":"799bfd297a008753a688b30d3958fa48","date_created":"2020-03-02T15:43:57Z","file_name":"2020_Neuron_Beets.pdf","content_type":"application/pdf","date_updated":"2020-07-14T12:48:00Z"}],"date_published":"2020-01-08T00:00:00Z","type":"journal_article","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"oa":1,"publication_identifier":{"issn":["0896-6273"]}},{"quality_controlled":"1","page":"781-794.e4","publisher":"Elsevier","article_type":"original","scopus_import":"1","_id":"7099","pmid":1,"issue":"4","author":[{"last_name":"Kasugai","first_name":"Yu","full_name":"Kasugai, Yu"},{"last_name":"Vogel","first_name":"Elisabeth","full_name":"Vogel, Elisabeth"},{"full_name":"Hörtnagl, Heide","last_name":"Hörtnagl","first_name":"Heide"},{"last_name":"Schönherr","first_name":"Sabine","full_name":"Schönherr, Sabine"},{"last_name":"Paradiso","first_name":"Enrica","full_name":"Paradiso, Enrica"},{"first_name":"Markus","last_name":"Hauschild","full_name":"Hauschild, Markus"},{"first_name":"Georg","last_name":"Göbel","full_name":"Göbel, Georg"},{"first_name":"Ivan","last_name":"Milenkovic","full_name":"Milenkovic, Ivan"},{"full_name":"Peterschmitt, Yvan","last_name":"Peterschmitt","first_name":"Yvan"},{"first_name":"Ramon","last_name":"Tasan","full_name":"Tasan, Ramon"},{"last_name":"Sperk","first_name":"Günther","full_name":"Sperk, Günther"},{"first_name":"Ryuichi","last_name":"Shigemoto","orcid":"0000-0001-8761-9444","full_name":"Shigemoto, Ryuichi","id":"499F3ABC-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Werner","last_name":"Sieghart","full_name":"Sieghart, Werner"},{"first_name":"Nicolas","last_name":"Singewald","full_name":"Singewald, Nicolas"},{"last_name":"Lüthi","first_name":"Andreas","full_name":"Lüthi, Andreas"},{"first_name":"Francesco","last_name":"Ferraguti","full_name":"Ferraguti, Francesco"}],"date_created":"2019-11-25T08:02:39Z","article_processing_charge":"No","department":[{"_id":"RySh"}],"publication_status":"published","intvolume":"       104","title":"Structural and functional remodeling of amygdala GABAergic synapses in associative fear learning","acknowledgement":"The authors thank Gabi Schmid for excellent technical support. We also thank\r\nDr. H. Harada, Dr. W. Kaufmann, and Dr. B. Kapelari for testing the specificity\r\nof some of the antibodies used in this study on replicas. Funding was provided\r\nby the Austrian Science Fund (Fonds zur Fo¨ rderung der Wissenschaftlichen\r\nForschung) Sonderforschungsbereich grants F44-17 (to F.jF.), F44-10 and\r\nP25375-B24 (to N.S.), and P26680 (to G.S.) and by the Novartis Research\r\nFoundation and the Swiss National Science Foundation (to A.L). We also thank\r\nProf. M. Capogna for reading a previous version of the manuscript.","volume":104,"ddc":["571","599"],"citation":{"chicago":"Kasugai, Yu, Elisabeth Vogel, Heide Hörtnagl, Sabine Schönherr, Enrica Paradiso, Markus Hauschild, Georg Göbel, et al. “Structural and Functional Remodeling of Amygdala GABAergic Synapses in Associative Fear Learning.” <i>Neuron</i>. Elsevier, 2019. <a href=\"https://doi.org/10.1016/j.neuron.2019.08.013\">https://doi.org/10.1016/j.neuron.2019.08.013</a>.","ieee":"Y. Kasugai <i>et al.</i>, “Structural and functional remodeling of amygdala GABAergic synapses in associative fear learning,” <i>Neuron</i>, vol. 104, no. 4. Elsevier, p. 781–794.e4, 2019.","ama":"Kasugai Y, Vogel E, Hörtnagl H, et al. Structural and functional remodeling of amygdala GABAergic synapses in associative fear learning. <i>Neuron</i>. 2019;104(4):781-794.e4. doi:<a href=\"https://doi.org/10.1016/j.neuron.2019.08.013\">10.1016/j.neuron.2019.08.013</a>","apa":"Kasugai, Y., Vogel, E., Hörtnagl, H., Schönherr, S., Paradiso, E., Hauschild, M., … Ferraguti, F. (2019). Structural and functional remodeling of amygdala GABAergic synapses in associative fear learning. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2019.08.013\">https://doi.org/10.1016/j.neuron.2019.08.013</a>","ista":"Kasugai Y, Vogel E, Hörtnagl H, Schönherr S, Paradiso E, Hauschild M, Göbel G, Milenkovic I, Peterschmitt Y, Tasan R, Sperk G, Shigemoto R, Sieghart W, Singewald N, Lüthi A, Ferraguti F. 2019. Structural and functional remodeling of amygdala GABAergic synapses in associative fear learning. Neuron. 104(4), 781–794.e4.","short":"Y. Kasugai, E. Vogel, H. Hörtnagl, S. Schönherr, E. Paradiso, M. Hauschild, G. Göbel, I. Milenkovic, Y. Peterschmitt, R. Tasan, G. Sperk, R. Shigemoto, W. Sieghart, N. Singewald, A. Lüthi, F. Ferraguti, Neuron 104 (2019) 781–794.e4.","mla":"Kasugai, Yu, et al. “Structural and Functional Remodeling of Amygdala GABAergic Synapses in Associative Fear Learning.” <i>Neuron</i>, vol. 104, no. 4, Elsevier, 2019, p. 781–794.e4, doi:<a href=\"https://doi.org/10.1016/j.neuron.2019.08.013\">10.1016/j.neuron.2019.08.013</a>."},"year":"2019","date_updated":"2023-08-30T07:28:22Z","external_id":{"isi":["000497963500017"],"pmid":["31543297"]},"isi":1,"day":"20","doi":"10.1016/j.neuron.2019.08.013","language":[{"iso":"eng"}],"has_accepted_license":"1","publication":"Neuron","oa_version":"Published Version","month":"11","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1016/j.neuron.2019.08.013"}],"status":"public","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","type":"journal_article","date_published":"2019-11-20T00:00:00Z","publication_identifier":{"issn":["0896-6273"]},"oa":1},{"language":[{"iso":"eng"}],"month":"04","oa_version":"Published Version","project":[{"call_identifier":"H2020","_id":"260018B0-B435-11E9-9278-68D0E5697425","name":"Principles of Neural Stem Cell Lineage Progression in Cerebral Cortex Development","grant_number":"725780"}],"publication":"Neuron","has_accepted_license":"1","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","status":"public","file":[{"date_updated":"2020-07-14T12:47:30Z","content_type":"application/pdf","file_name":"2019_Neuron_Ortiz.pdf","date_created":"2019-05-15T09:28:41Z","file_size":7288572,"checksum":"1fb6e195c583eb0c5cabf26f69ff6675","file_id":"6457","creator":"dernst","relation":"main_file","access_level":"open_access"}],"oa":1,"publication_identifier":{"issn":["0896-6273"],"eissn":["1097-4199"]},"date_published":"2019-04-03T00:00:00Z","type":"journal_article","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode","short":"CC BY-NC-ND (4.0)","name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","image":"/images/cc_by_nc_nd.png"},"publisher":"Elsevier","file_date_updated":"2020-07-14T12:47:30Z","page":"159-172.e7","quality_controlled":"1","ec_funded":1,"title":"Adult neural stem cells and multiciliated ependymal cells share a common lineage regulated by the Geminin family members","intvolume":"       102","publication_status":"published","article_processing_charge":"No","department":[{"_id":"SiHi"}],"date_created":"2019-05-14T13:06:30Z","author":[{"last_name":"Ortiz-Álvarez","first_name":"G","full_name":"Ortiz-Álvarez, G"},{"full_name":"Daclin, M","first_name":"M","last_name":"Daclin"},{"last_name":"Shihavuddin","first_name":"A","full_name":"Shihavuddin, A"},{"last_name":"Lansade","first_name":"P","full_name":"Lansade, P"},{"last_name":"Fortoul","first_name":"A","full_name":"Fortoul, A"},{"first_name":"M","last_name":"Faucourt","full_name":"Faucourt, M"},{"full_name":"Clavreul, S","first_name":"S","last_name":"Clavreul"},{"first_name":"ME","last_name":"Lalioti","full_name":"Lalioti, ME"},{"full_name":"Taraviras, S","first_name":"S","last_name":"Taraviras"},{"id":"37B36620-F248-11E8-B48F-1D18A9856A87","last_name":"Hippenmeyer","first_name":"Simon","full_name":"Hippenmeyer, Simon","orcid":"0000-0003-2279-1061"},{"last_name":"Livet","first_name":"J","full_name":"Livet, J"},{"full_name":"Meunier, A","first_name":"A","last_name":"Meunier"},{"full_name":"Genovesio, A","first_name":"A","last_name":"Genovesio"},{"full_name":"Spassky, N","first_name":"N","last_name":"Spassky"}],"issue":"1","pmid":1,"_id":"6454","scopus_import":"1","ddc":["570"],"volume":102,"abstract":[{"lang":"eng","text":"Adult neural stem cells and multiciliated ependymalcells are glial cells essential for neurological func-tions. Together, they make up the adult neurogenicniche. Using both high-throughput clonal analysisand single-cell resolution of progenitor division pat-terns and fate, we show that these two componentsof the neurogenic niche are lineally related: adult neu-ral stem cells are sister cells to ependymal cells,whereas most ependymal cells arise from the termi-nal symmetric divisions of the lineage. Unexpectedly,we found that the antagonist regulators of DNA repli-cation, GemC1 and Geminin, can tune the proportionof neural stem cells and ependymal cells. Our find-ings reveal the controlled dynamic of the neurogenicniche ontogeny and identify the Geminin familymembers as key regulators of the initial pool of adultneural stem cells."}],"doi":"10.1016/j.neuron.2019.01.051","day":"03","isi":1,"external_id":{"isi":["000463337900018"],"pmid":["30824354"]},"date_updated":"2023-09-05T13:02:21Z","year":"2019","citation":{"chicago":"Ortiz-Álvarez, G, M Daclin, A Shihavuddin, P Lansade, A Fortoul, M Faucourt, S Clavreul, et al. “Adult Neural Stem Cells and Multiciliated Ependymal Cells Share a Common Lineage Regulated by the Geminin Family Members.” <i>Neuron</i>. Elsevier, 2019. <a href=\"https://doi.org/10.1016/j.neuron.2019.01.051\">https://doi.org/10.1016/j.neuron.2019.01.051</a>.","ieee":"G. Ortiz-Álvarez <i>et al.</i>, “Adult neural stem cells and multiciliated ependymal cells share a common lineage regulated by the Geminin family members,” <i>Neuron</i>, vol. 102, no. 1. Elsevier, p. 159–172.e7, 2019.","apa":"Ortiz-Álvarez, G., Daclin, M., Shihavuddin, A., Lansade, P., Fortoul, A., Faucourt, M., … Spassky, N. (2019). Adult neural stem cells and multiciliated ependymal cells share a common lineage regulated by the Geminin family members. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2019.01.051\">https://doi.org/10.1016/j.neuron.2019.01.051</a>","ama":"Ortiz-Álvarez G, Daclin M, Shihavuddin A, et al. Adult neural stem cells and multiciliated ependymal cells share a common lineage regulated by the Geminin family members. <i>Neuron</i>. 2019;102(1):159-172.e7. doi:<a href=\"https://doi.org/10.1016/j.neuron.2019.01.051\">10.1016/j.neuron.2019.01.051</a>","ista":"Ortiz-Álvarez G, Daclin M, Shihavuddin A, Lansade P, Fortoul A, Faucourt M, Clavreul S, Lalioti M, Taraviras S, Hippenmeyer S, Livet J, Meunier A, Genovesio A, Spassky N. 2019. Adult neural stem cells and multiciliated ependymal cells share a common lineage regulated by the Geminin family members. Neuron. 102(1), 159–172.e7.","short":"G. Ortiz-Álvarez, M. Daclin, A. Shihavuddin, P. Lansade, A. Fortoul, M. Faucourt, S. Clavreul, M. Lalioti, S. Taraviras, S. Hippenmeyer, J. Livet, A. Meunier, A. Genovesio, N. Spassky, Neuron 102 (2019) 159–172.e7.","mla":"Ortiz-Álvarez, G., et al. “Adult Neural Stem Cells and Multiciliated Ependymal Cells Share a Common Lineage Regulated by the Geminin Family Members.” <i>Neuron</i>, vol. 102, no. 1, Elsevier, 2019, p. 159–172.e7, doi:<a href=\"https://doi.org/10.1016/j.neuron.2019.01.051\">10.1016/j.neuron.2019.01.051</a>."}},{"volume":98,"extern":"1","day":"04","doi":"10.1016/j.neuron.2018.03.028","abstract":[{"text":"The neural code of cortical processing remains uncracked; however, it must necessarily rely on faithful signal propagation between cortical areas. In this issue of Neuron, Joglekar et al. (2018) show that strong inter-areal excitation balanced by local inhibition can enable reliable signal propagation in data-constrained network models of macaque cortex. ","lang":"eng"}],"citation":{"short":"J.P. Stroud, T.P. Vogels, Neuron 98 (2018) 8–9.","mla":"Stroud, Jake P., and Tim P. Vogels. “Cortical Signal Propagation: Balance, Amplify, Transmit.” <i>Neuron</i>, vol. 98, no. 1, Elsevier, 2018, pp. 8–9, doi:<a href=\"https://doi.org/10.1016/j.neuron.2018.03.028\">10.1016/j.neuron.2018.03.028</a>.","ista":"Stroud JP, Vogels TP. 2018. Cortical signal propagation: Balance, amplify, transmit. Neuron. 98(1), 8–9.","apa":"Stroud, J. P., &#38; Vogels, T. P. (2018). Cortical signal propagation: Balance, amplify, transmit. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2018.03.028\">https://doi.org/10.1016/j.neuron.2018.03.028</a>","ama":"Stroud JP, Vogels TP. Cortical signal propagation: Balance, amplify, transmit. <i>Neuron</i>. 2018;98(1):8-9. doi:<a href=\"https://doi.org/10.1016/j.neuron.2018.03.028\">10.1016/j.neuron.2018.03.028</a>","ieee":"J. P. Stroud and T. P. Vogels, “Cortical signal propagation: Balance, amplify, transmit,” <i>Neuron</i>, vol. 98, no. 1. Elsevier, pp. 8–9, 2018.","chicago":"Stroud, Jake P., and Tim P Vogels. “Cortical Signal Propagation: Balance, Amplify, Transmit.” <i>Neuron</i>. Elsevier, 2018. <a href=\"https://doi.org/10.1016/j.neuron.2018.03.028\">https://doi.org/10.1016/j.neuron.2018.03.028</a>."},"year":"2018","date_updated":"2021-01-12T08:16:31Z","external_id":{"pmid":["29621492"]},"publisher":"Elsevier","article_type":"original","quality_controlled":"1","page":"8-9","date_created":"2020-06-25T12:53:39Z","article_processing_charge":"No","publication_status":"published","intvolume":"        98","title":"Cortical signal propagation: Balance, amplify, transmit","pmid":1,"_id":"8015","issue":"1","author":[{"first_name":"Jake P.","last_name":"Stroud","full_name":"Stroud, Jake P."},{"id":"CB6FF8D2-008F-11EA-8E08-2637E6697425","orcid":"0000-0003-3295-6181","full_name":"Vogels, Tim P","first_name":"Tim P","last_name":"Vogels"}],"main_file_link":[{"open_access":"1","url":"https://doi.org/10.1016/j.neuron.2018.03.028"}],"status":"public","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publication_identifier":{"issn":["0896-6273"]},"oa":1,"type":"journal_article","date_published":"2018-04-04T00:00:00Z","language":[{"iso":"eng"}],"oa_version":"Published Version","month":"04","publication":"Neuron"},{"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","status":"public","extern":"1","volume":97,"type":"journal_article","date_published":"2018-01-04T00:00:00Z","citation":{"short":"L.B. Sweeney, J.B. Bikoff, M.I. Gabitto, S. Brenner-Morton, M. Baek, J.H. Yang, E.G. Tabak, J.S. Dasen, C.R. Kintner, T.M. Jessell, Neuron 97 (2018) 341–355.e3.","mla":"Sweeney, Lora B., et al. “Origin and Segmental Diversity of Spinal Inhibitory Interneurons.” <i>Neuron</i>, vol. 97, no. 2, Elsevier, 2018, p. 341–355.e3, doi:<a href=\"https://doi.org/10.1016/j.neuron.2017.12.029\">10.1016/j.neuron.2017.12.029</a>.","ista":"Sweeney LB, Bikoff JB, Gabitto MI, Brenner-Morton S, Baek M, Yang JH, Tabak EG, Dasen JS, Kintner CR, Jessell TM. 2018. Origin and segmental diversity of spinal inhibitory interneurons. Neuron. 97(2), 341–355.e3.","ama":"Sweeney LB, Bikoff JB, Gabitto MI, et al. Origin and segmental diversity of spinal inhibitory interneurons. <i>Neuron</i>. 2018;97(2):341-355.e3. doi:<a href=\"https://doi.org/10.1016/j.neuron.2017.12.029\">10.1016/j.neuron.2017.12.029</a>","apa":"Sweeney, L. B., Bikoff, J. B., Gabitto, M. I., Brenner-Morton, S., Baek, M., Yang, J. H., … Jessell, T. M. (2018). Origin and segmental diversity of spinal inhibitory interneurons. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2017.12.029\">https://doi.org/10.1016/j.neuron.2017.12.029</a>","ieee":"L. B. Sweeney <i>et al.</i>, “Origin and segmental diversity of spinal inhibitory interneurons,” <i>Neuron</i>, vol. 97, no. 2. Elsevier, p. 341–355.e3, 2018.","chicago":"Sweeney, Lora B., Jay B. Bikoff, Mariano I. Gabitto, Susan Brenner-Morton, Myungin Baek, Jerry H. Yang, Esteban G. Tabak, Jeremy S. Dasen, Christopher R. Kintner, and Thomas M. Jessell. “Origin and Segmental Diversity of Spinal Inhibitory Interneurons.” <i>Neuron</i>. Elsevier, 2018. <a href=\"https://doi.org/10.1016/j.neuron.2017.12.029\">https://doi.org/10.1016/j.neuron.2017.12.029</a>."},"year":"2018","date_updated":"2024-01-31T10:13:54Z","abstract":[{"text":"Motor output varies along the rostro-caudal axis of the tetrapod spinal cord. At limb levels, ∼60 motor pools control the alternation of flexor and extensor muscles about each joint, whereas at thoracic levels as few as 10 motor pools supply muscle groups that support posture, inspiration, and expiration. Whether such differences in motor neuron identity and muscle number are associated with segmental distinctions in interneuron diversity has not been resolved. We show that select combinations of nineteen transcription factors that specify lumbar V1 inhibitory interneurons generate subpopulations enriched at limb and thoracic levels. Specification of limb and thoracic V1 interneurons involves the Hox gene Hoxc9 independently of motor neurons. Thus, early Hox patterning of the spinal cord determines the identity of V1 interneurons and motor neurons. These studies reveal a developmental program of V1 interneuron diversity, providing insight into the organization of inhibitory interneurons associated with differential motor output.","lang":"eng"}],"publication_identifier":{"issn":["0896-6273"]},"day":"04","doi":"10.1016/j.neuron.2017.12.029","language":[{"iso":"eng"}],"quality_controlled":"1","page":"341-355.e3","article_type":"original","publisher":"Elsevier","issue":"2","author":[{"id":"56BE8254-C4F0-11E9-8E45-0B23E6697425","first_name":"Lora Beatrice Jaeger","last_name":"Sweeney","orcid":"0000-0001-9242-5601","full_name":"Sweeney, Lora Beatrice Jaeger"},{"first_name":"Jay B.","last_name":"Bikoff","full_name":"Bikoff, Jay B."},{"first_name":"Mariano I.","last_name":"Gabitto","full_name":"Gabitto, Mariano I."},{"last_name":"Brenner-Morton","first_name":"Susan","full_name":"Brenner-Morton, Susan"},{"first_name":"Myungin","last_name":"Baek","full_name":"Baek, Myungin"},{"full_name":"Yang, Jerry H.","first_name":"Jerry H.","last_name":"Yang"},{"last_name":"Tabak","first_name":"Esteban G.","full_name":"Tabak, Esteban G."},{"first_name":"Jeremy S.","last_name":"Dasen","full_name":"Dasen, Jeremy S."},{"last_name":"Kintner","first_name":"Christopher R.","full_name":"Kintner, Christopher R."},{"full_name":"Jessell, Thomas M.","first_name":"Thomas M.","last_name":"Jessell"}],"publication":"Neuron","_id":"7698","intvolume":"        97","title":"Origin and segmental diversity of spinal inhibitory interneurons","month":"01","date_created":"2020-04-30T10:35:13Z","article_processing_charge":"No","oa_version":"None","publication_status":"published"},{"month":"09","oa_version":"Published Version","has_accepted_license":"1","publication":"Neuron","language":[{"iso":"eng"}],"oa":1,"publication_identifier":{"issn":["0896-6273"]},"type":"journal_article","date_published":"2017-09-27T00:00:00Z","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"user_id":"D865714E-FA4E-11E9-B85B-F5C5E5697425","status":"public","file":[{"date_updated":"2020-07-14T12:48:08Z","content_type":"application/pdf","file_name":"2017_Neuron_Costa.pdf","date_created":"2020-07-09T09:42:49Z","file_size":7140149,"checksum":"49fbca2821066c0965bd5678b32b6b48","file_id":"8103","creator":"cziletti","relation":"main_file","access_level":"open_access"}],"intvolume":"        96","title":"Synaptic transmission optimization predicts expression loci of long-term plasticity","date_created":"2020-06-25T12:54:46Z","article_processing_charge":"No","publication_status":"published","issue":"1","author":[{"full_name":"Costa, Rui Ponte","first_name":"Rui Ponte","last_name":"Costa"},{"full_name":"Padamsey, Zahid","first_name":"Zahid","last_name":"Padamsey"},{"full_name":"D’Amour, James A.","last_name":"D’Amour","first_name":"James A."},{"full_name":"Emptage, Nigel J.","first_name":"Nigel J.","last_name":"Emptage"},{"first_name":"Robert C.","last_name":"Froemke","full_name":"Froemke, Robert C."},{"orcid":"0000-0003-3295-6181","full_name":"Vogels, Tim P","first_name":"Tim P","last_name":"Vogels","id":"CB6FF8D2-008F-11EA-8E08-2637E6697425"}],"_id":"8016","pmid":1,"article_type":"original","publisher":"Elsevier","file_date_updated":"2020-07-14T12:48:08Z","quality_controlled":"1","page":"177-189.e7","abstract":[{"lang":"eng","text":"Long-term modifications of neuronal connections are critical for reliable memory storage in the brain. However, their locus of expression—pre- or postsynaptic—is highly variable. Here we introduce a theoretical framework in which long-term plasticity performs an optimization of the postsynaptic response statistics toward a given mean with minimal variance. Consequently, the state of the synapse at the time of plasticity induction determines the ratio of pre- and postsynaptic modifications. Our theory explains the experimentally observed expression loci of the hippocampal and neocortical synaptic potentiation studies we examined. Moreover, the theory predicts presynaptic expression of long-term depression, consistent with experimental observations. At inhibitory synapses, the theory suggests a statistically efficient excitatory-inhibitory balance in which changes in inhibitory postsynaptic response statistics specifically target the mean excitation. Our results provide a unifying theory for understanding the expression mechanisms and functions of long-term synaptic transmission plasticity."}],"day":"27","doi":"10.1016/j.neuron.2017.09.021","external_id":{"pmid":["28957667"]},"citation":{"chicago":"Costa, Rui Ponte, Zahid Padamsey, James A. D’Amour, Nigel J. Emptage, Robert C. Froemke, and Tim P Vogels. “Synaptic Transmission Optimization Predicts Expression Loci of Long-Term Plasticity.” <i>Neuron</i>. Elsevier, 2017. <a href=\"https://doi.org/10.1016/j.neuron.2017.09.021\">https://doi.org/10.1016/j.neuron.2017.09.021</a>.","ieee":"R. P. Costa, Z. Padamsey, J. A. D’Amour, N. J. Emptage, R. C. Froemke, and T. P. Vogels, “Synaptic transmission optimization predicts expression loci of long-term plasticity,” <i>Neuron</i>, vol. 96, no. 1. Elsevier, p. 177–189.e7, 2017.","apa":"Costa, R. P., Padamsey, Z., D’Amour, J. A., Emptage, N. J., Froemke, R. C., &#38; Vogels, T. P. (2017). Synaptic transmission optimization predicts expression loci of long-term plasticity. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2017.09.021\">https://doi.org/10.1016/j.neuron.2017.09.021</a>","ama":"Costa RP, Padamsey Z, D’Amour JA, Emptage NJ, Froemke RC, Vogels TP. Synaptic transmission optimization predicts expression loci of long-term plasticity. <i>Neuron</i>. 2017;96(1):177-189.e7. doi:<a href=\"https://doi.org/10.1016/j.neuron.2017.09.021\">10.1016/j.neuron.2017.09.021</a>","ista":"Costa RP, Padamsey Z, D’Amour JA, Emptage NJ, Froemke RC, Vogels TP. 2017. Synaptic transmission optimization predicts expression loci of long-term plasticity. Neuron. 96(1), 177–189.e7.","short":"R.P. Costa, Z. Padamsey, J.A. D’Amour, N.J. Emptage, R.C. Froemke, T.P. Vogels, Neuron 96 (2017) 177–189.e7.","mla":"Costa, Rui Ponte, et al. “Synaptic Transmission Optimization Predicts Expression Loci of Long-Term Plasticity.” <i>Neuron</i>, vol. 96, no. 1, Elsevier, 2017, p. 177–189.e7, doi:<a href=\"https://doi.org/10.1016/j.neuron.2017.09.021\">10.1016/j.neuron.2017.09.021</a>."},"year":"2017","date_updated":"2021-01-12T08:16:32Z","ddc":["570"],"extern":"1","volume":96},{"month":"04","oa_version":"Published Version","has_accepted_license":"1","publication":"Neuron","language":[{"iso":"eng"}],"oa":1,"publication_identifier":{"issn":["0896-6273"]},"type":"journal_article","date_published":"2016-04-06T00:00:00Z","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"status":"public","user_id":"D865714E-FA4E-11E9-B85B-F5C5E5697425","file":[{"creator":"cziletti","file_id":"8104","access_level":"open_access","relation":"main_file","content_type":"application/pdf","file_name":"2016_Neuron_Barron.pdf","date_updated":"2020-07-14T12:48:08Z","file_size":5334136,"checksum":"9ce7a1c64986dce0435c070285a7ef9b","date_created":"2020-07-09T09:57:04Z"}],"intvolume":"        90","title":"Unmasking latent inhibitory connections in human cortex to reveal dormant cortical memories","article_processing_charge":"No","date_created":"2020-06-25T13:05:33Z","publication_status":"published","issue":"1","author":[{"full_name":"Barron, H.C.","last_name":"Barron","first_name":"H.C."},{"id":"CB6FF8D2-008F-11EA-8E08-2637E6697425","last_name":"Vogels","first_name":"Tim P","full_name":"Vogels, Tim P","orcid":"0000-0003-3295-6181"},{"last_name":"Emir","first_name":"U.E.","full_name":"Emir, U.E."},{"full_name":"Makin, T.R.","last_name":"Makin","first_name":"T.R."},{"first_name":"J.","last_name":"O’Shea","full_name":"O’Shea, J."},{"full_name":"Clare, S.","last_name":"Clare","first_name":"S."},{"first_name":"S.","last_name":"Jbabdi","full_name":"Jbabdi, S."},{"last_name":"Dolan","first_name":"R.J.","full_name":"Dolan, R.J."},{"full_name":"Behrens, T.E.J.","last_name":"Behrens","first_name":"T.E.J."}],"pmid":1,"_id":"8020","article_type":"original","publisher":"Elsevier","file_date_updated":"2020-07-14T12:48:08Z","quality_controlled":"1","page":"191-203","abstract":[{"lang":"eng","text":"Balance of cortical excitation and inhibition (EI) is thought to be disrupted in several neuropsychiatric conditions, yet it is not clear how it is maintained in the healthy human brain. When EI balance is disturbed during learning and memory in animal models, it can be restabilized via formation of inhibitory replicas of newly formed excitatory connections. Here we assess evidence for such selective inhibitory rebalancing in humans. Using fMRI repetition suppression we measure newly formed cortical associations in the human brain. We show that expression of these associations reduces over time despite persistence in behavior, consistent with inhibitory rebalancing. To test this, we modulated excitation/inhibition balance with transcranial direct current stimulation (tDCS). Using ultra-high-field (7T) MRI and spectroscopy, we show that reducing GABA allows cortical associations to be re-expressed. This suggests that in humans associative memories are stored in balanced excitatory-inhibitory ensembles that lie dormant unless latent inhibitory connections are unmasked."}],"day":"06","doi":"10.1016/j.neuron.2016.02.031","external_id":{"pmid":["26996082"]},"year":"2016","citation":{"short":"H.C. Barron, T.P. Vogels, U.E. Emir, T.R. Makin, J. O’Shea, S. Clare, S. Jbabdi, R.J. Dolan, T.E.J. Behrens, Neuron 90 (2016) 191–203.","mla":"Barron, H. C., et al. “Unmasking Latent Inhibitory Connections in Human Cortex to Reveal Dormant Cortical Memories.” <i>Neuron</i>, vol. 90, no. 1, Elsevier, 2016, pp. 191–203, doi:<a href=\"https://doi.org/10.1016/j.neuron.2016.02.031\">10.1016/j.neuron.2016.02.031</a>.","ista":"Barron HC, Vogels TP, Emir UE, Makin TR, O’Shea J, Clare S, Jbabdi S, Dolan RJ, Behrens TEJ. 2016. Unmasking latent inhibitory connections in human cortex to reveal dormant cortical memories. Neuron. 90(1), 191–203.","ama":"Barron HC, Vogels TP, Emir UE, et al. Unmasking latent inhibitory connections in human cortex to reveal dormant cortical memories. <i>Neuron</i>. 2016;90(1):191-203. doi:<a href=\"https://doi.org/10.1016/j.neuron.2016.02.031\">10.1016/j.neuron.2016.02.031</a>","apa":"Barron, H. C., Vogels, T. P., Emir, U. E., Makin, T. R., O’Shea, J., Clare, S., … Behrens, T. E. J. (2016). Unmasking latent inhibitory connections in human cortex to reveal dormant cortical memories. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2016.02.031\">https://doi.org/10.1016/j.neuron.2016.02.031</a>","chicago":"Barron, H.C., Tim P Vogels, U.E. Emir, T.R. Makin, J. O’Shea, S. Clare, S. Jbabdi, R.J. Dolan, and T.E.J. Behrens. “Unmasking Latent Inhibitory Connections in Human Cortex to Reveal Dormant Cortical Memories.” <i>Neuron</i>. Elsevier, 2016. <a href=\"https://doi.org/10.1016/j.neuron.2016.02.031\">https://doi.org/10.1016/j.neuron.2016.02.031</a>.","ieee":"H. C. Barron <i>et al.</i>, “Unmasking latent inhibitory connections in human cortex to reveal dormant cortical memories,” <i>Neuron</i>, vol. 90, no. 1. Elsevier, pp. 191–203, 2016."},"date_updated":"2021-01-12T08:16:34Z","ddc":["570"],"extern":"1","volume":90},{"main_file_link":[{"open_access":"1","url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6364799/"}],"status":"public","user_id":"D865714E-FA4E-11E9-B85B-F5C5E5697425","publication_identifier":{"issn":["0896-6273"]},"oa":1,"date_published":"2014-06-18T00:00:00Z","type":"journal_article","language":[{"iso":"eng"}],"oa_version":"Submitted Version","month":"06","publication":"Neuron","volume":82,"extern":"1","doi":"10.1016/j.neuron.2014.04.045","day":"18","abstract":[{"lang":"eng","text":"Populations of neurons in motor cortex engage in complex transient dynamics of large amplitude during the execution of limb movements. Traditional network models with stochastically assigned synapses cannot reproduce this behavior. Here we introduce a class of cortical architectures with strong and random excitatory recurrence that is stabilized by intricate, fine-tuned inhibition, optimized from a control theory perspective. Such networks transiently amplify specific activity states and can be used to reliably execute multidimensional movement patterns. Similar to the experimental observations, these transients must be preceded by a steady-state initialization phase from which the network relaxes back into the background state by way of complex internal dynamics. In our networks, excitation and inhibition are as tightly balanced as recently reported in experiments across several brain areas, suggesting inhibitory control of complex excitatory recurrence as a generic organizational principle in cortex."}],"date_updated":"2021-01-12T08:16:35Z","citation":{"short":"G. Hennequin, T.P. Vogels, W. Gerstner, Neuron 82 (2014) 1394–1406.","mla":"Hennequin, Guillaume, et al. “Optimal Control of Transient Dynamics in Balanced Networks Supports Generation of Complex Movements.” <i>Neuron</i>, vol. 82, no. 6, Elsevier, 2014, pp. 1394–406, doi:<a href=\"https://doi.org/10.1016/j.neuron.2014.04.045\">10.1016/j.neuron.2014.04.045</a>.","ista":"Hennequin G, Vogels TP, Gerstner W. 2014. Optimal control of transient dynamics in balanced networks supports generation of complex movements. Neuron. 82(6), 1394–1406.","apa":"Hennequin, G., Vogels, T. P., &#38; Gerstner, W. (2014). Optimal control of transient dynamics in balanced networks supports generation of complex movements. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2014.04.045\">https://doi.org/10.1016/j.neuron.2014.04.045</a>","ama":"Hennequin G, Vogels TP, Gerstner W. Optimal control of transient dynamics in balanced networks supports generation of complex movements. <i>Neuron</i>. 2014;82(6):1394-1406. doi:<a href=\"https://doi.org/10.1016/j.neuron.2014.04.045\">10.1016/j.neuron.2014.04.045</a>","ieee":"G. Hennequin, T. P. Vogels, and W. Gerstner, “Optimal control of transient dynamics in balanced networks supports generation of complex movements,” <i>Neuron</i>, vol. 82, no. 6. Elsevier, pp. 1394–1406, 2014.","chicago":"Hennequin, Guillaume, Tim P Vogels, and Wulfram Gerstner. “Optimal Control of Transient Dynamics in Balanced Networks Supports Generation of Complex Movements.” <i>Neuron</i>. Elsevier, 2014. <a href=\"https://doi.org/10.1016/j.neuron.2014.04.045\">https://doi.org/10.1016/j.neuron.2014.04.045</a>."},"year":"2014","external_id":{"pmid":["24945778"]},"publisher":"Elsevier","article_type":"original","page":"1394-1406","quality_controlled":"1","publication_status":"published","date_created":"2020-06-25T13:07:37Z","article_processing_charge":"No","title":"Optimal control of transient dynamics in balanced networks supports generation of complex movements","intvolume":"        82","pmid":1,"_id":"8022","author":[{"full_name":"Hennequin, Guillaume","last_name":"Hennequin","first_name":"Guillaume"},{"id":"CB6FF8D2-008F-11EA-8E08-2637E6697425","full_name":"Vogels, Tim P","orcid":"0000-0003-3295-6181","last_name":"Vogels","first_name":"Tim P"},{"full_name":"Gerstner, Wulfram","last_name":"Gerstner","first_name":"Wulfram"}],"issue":"6"},{"quality_controlled":"1","page":"673-686","language":[{"iso":"eng"}],"publisher":"Elsevier","article_type":"original","publication":"Neuron","_id":"7785","issue":"4","author":[{"full_name":"Joo, William J.","first_name":"William J.","last_name":"Joo"},{"id":"56BE8254-C4F0-11E9-8E45-0B23E6697425","orcid":"0000-0001-9242-5601","full_name":"Sweeney, Lora Beatrice Jaeger","first_name":"Lora Beatrice Jaeger","last_name":"Sweeney"},{"full_name":"Liang, Liang","last_name":"Liang","first_name":"Liang"},{"first_name":"Liqun","last_name":"Luo","full_name":"Luo, Liqun"}],"date_created":"2020-04-30T13:19:59Z","article_processing_charge":"No","oa_version":"None","publication_status":"published","intvolume":"        78","month":"05","title":"Linking cell fate, trajectory choice, and target selection: Genetic analysis of sema-2b in olfactory axon targeting","volume":78,"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","status":"public","extern":"1","citation":{"ista":"Joo WJ, Sweeney LB, Liang L, Luo L. 2013. Linking cell fate, trajectory choice, and target selection: Genetic analysis of sema-2b in olfactory axon targeting. Neuron. 78(4), 673–686.","mla":"Joo, William J., et al. “Linking Cell Fate, Trajectory Choice, and Target Selection: Genetic Analysis of Sema-2b in Olfactory Axon Targeting.” <i>Neuron</i>, vol. 78, no. 4, Elsevier, 2013, pp. 673–86, doi:<a href=\"https://doi.org/10.1016/j.neuron.2013.03.022\">10.1016/j.neuron.2013.03.022</a>.","short":"W.J. Joo, L.B. Sweeney, L. Liang, L. Luo, Neuron 78 (2013) 673–686.","ieee":"W. J. Joo, L. B. Sweeney, L. Liang, and L. Luo, “Linking cell fate, trajectory choice, and target selection: Genetic analysis of sema-2b in olfactory axon targeting,” <i>Neuron</i>, vol. 78, no. 4. Elsevier, pp. 673–686, 2013.","chicago":"Joo, William J., Lora B. Sweeney, Liang Liang, and Liqun Luo. “Linking Cell Fate, Trajectory Choice, and Target Selection: Genetic Analysis of Sema-2b in Olfactory Axon Targeting.” <i>Neuron</i>. Elsevier, 2013. <a href=\"https://doi.org/10.1016/j.neuron.2013.03.022\">https://doi.org/10.1016/j.neuron.2013.03.022</a>.","apa":"Joo, W. J., Sweeney, L. B., Liang, L., &#38; Luo, L. (2013). Linking cell fate, trajectory choice, and target selection: Genetic analysis of sema-2b in olfactory axon targeting. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2013.03.022\">https://doi.org/10.1016/j.neuron.2013.03.022</a>","ama":"Joo WJ, Sweeney LB, Liang L, Luo L. Linking cell fate, trajectory choice, and target selection: Genetic analysis of sema-2b in olfactory axon targeting. <i>Neuron</i>. 2013;78(4):673-686. doi:<a href=\"https://doi.org/10.1016/j.neuron.2013.03.022\">10.1016/j.neuron.2013.03.022</a>"},"year":"2013","date_updated":"2024-01-31T10:15:25Z","type":"journal_article","date_published":"2013-05-22T00:00:00Z","day":"22","publication_identifier":{"issn":["0896-6273"]},"doi":"10.1016/j.neuron.2013.03.022","abstract":[{"lang":"eng","text":"Neural circuit assembly requires selection of specific cell fates, axonal trajectories, and synaptic targets. By analyzing the function of a secreted semaphorin, Sema-2b, in Drosophila olfactory receptor neuron (ORN) development, we identified multiple molecular and cellular mechanisms that link these events. Notch signaling limits Sema-2b expression to ventromedial ORN classes, within which Sema-2b cell-autonomously sensitizes ORN axons to external semaphorins. Central-brain-derived Sema-2a and Sema-2b attract Sema-2b-expressing axons to the ventromedial trajectory. In addition, Sema-2b/PlexB-mediated axon-axon interactions consolidate this trajectory choice and promote ventromedial axon-bundle formation. Selecting the correct developmental trajectory is ultimately essential for proper target choice. These findings demonstrate that Sema-2b couples ORN axon guidance to postsynaptic target neuron dendrite patterning well before the final target selection phase, and exemplify how a single guidance molecule can drive consecutive stages of neural circuit assembly with the help of sophisticated spatial and temporal regulation."}]},{"oa_version":"None","publication_status":"published","date_created":"2020-04-30T10:36:12Z","article_processing_charge":"No","month":"12","title":"Secreted semaphorins from degenerating larval ORN axons direct adult projection neuron dendrite targeting","intvolume":"        72","_id":"7701","publication":"Neuron","author":[{"id":"56BE8254-C4F0-11E9-8E45-0B23E6697425","first_name":"Lora Beatrice Jaeger","last_name":"Sweeney","orcid":"0000-0001-9242-5601","full_name":"Sweeney, Lora Beatrice Jaeger"},{"full_name":"Chou, Ya-Hui","first_name":"Ya-Hui","last_name":"Chou"},{"full_name":"Wu, Zhuhao","last_name":"Wu","first_name":"Zhuhao"},{"full_name":"Joo, William","first_name":"William","last_name":"Joo"},{"full_name":"Komiyama, Takaki","last_name":"Komiyama","first_name":"Takaki"},{"full_name":"Potter, Christopher J.","last_name":"Potter","first_name":"Christopher J."},{"full_name":"Kolodkin, Alex L.","first_name":"Alex L.","last_name":"Kolodkin"},{"last_name":"Garcia","first_name":"K. Christopher","full_name":"Garcia, K. Christopher"},{"full_name":"Luo, Liqun","first_name":"Liqun","last_name":"Luo"}],"issue":"5","publisher":"Elsevier","article_type":"original","page":"734-747","quality_controlled":"1","language":[{"iso":"eng"}],"doi":"10.1016/j.neuron.2011.09.026","publication_identifier":{"issn":["0896-6273"]},"day":"08","abstract":[{"lang":"eng","text":"During assembly of the Drosophila olfactory circuit, projection neuron (PN) dendrites prepattern the developing antennal lobe before the arrival of axons from their presynaptic partners, the adult olfactory receptor neurons (ORNs). We previously found that levels of transmembrane Semaphorin-1a, which acts as a receptor, instruct PN dendrite targeting along the dorsolateral-ventromedial axis. Here we show that two secreted semaphorins, Sema-2a and Sema-2b, provide spatial cues for PN dendrite targeting. Sema-2a and Sema-2b proteins are distributed in gradients opposing the Sema-1a protein gradient, and Sema-1a binds to Sema-2a-expressing cells. In Sema-2a and Sema-2b double mutants, PN dendrites that normally target dorsolaterally in the antennal lobe mistarget ventromedially, phenocopying cell-autonomous Sema-1a removal from these PNs. Cell ablation, cell-specific knockdown, and rescue experiments indicate that secreted semaphorins from degenerating larval ORN axons direct dendrite targeting. Thus, a degenerating brain structure instructs the wiring of a developing circuit through the repulsive action of secreted semaphorins."}],"date_updated":"2024-01-31T10:13:39Z","citation":{"ama":"Sweeney LB, Chou Y-H, Wu Z, et al. Secreted semaphorins from degenerating larval ORN axons direct adult projection neuron dendrite targeting. <i>Neuron</i>. 2011;72(5):734-747. doi:<a href=\"https://doi.org/10.1016/j.neuron.2011.09.026\">10.1016/j.neuron.2011.09.026</a>","apa":"Sweeney, L. B., Chou, Y.-H., Wu, Z., Joo, W., Komiyama, T., Potter, C. J., … Luo, L. (2011). Secreted semaphorins from degenerating larval ORN axons direct adult projection neuron dendrite targeting. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2011.09.026\">https://doi.org/10.1016/j.neuron.2011.09.026</a>","ieee":"L. B. Sweeney <i>et al.</i>, “Secreted semaphorins from degenerating larval ORN axons direct adult projection neuron dendrite targeting,” <i>Neuron</i>, vol. 72, no. 5. Elsevier, pp. 734–747, 2011.","chicago":"Sweeney, Lora B., Ya-Hui Chou, Zhuhao Wu, William Joo, Takaki Komiyama, Christopher J. Potter, Alex L. Kolodkin, K. Christopher Garcia, and Liqun Luo. “Secreted Semaphorins from Degenerating Larval ORN Axons Direct Adult Projection Neuron Dendrite Targeting.” <i>Neuron</i>. Elsevier, 2011. <a href=\"https://doi.org/10.1016/j.neuron.2011.09.026\">https://doi.org/10.1016/j.neuron.2011.09.026</a>.","mla":"Sweeney, Lora B., et al. “Secreted Semaphorins from Degenerating Larval ORN Axons Direct Adult Projection Neuron Dendrite Targeting.” <i>Neuron</i>, vol. 72, no. 5, Elsevier, 2011, pp. 734–47, doi:<a href=\"https://doi.org/10.1016/j.neuron.2011.09.026\">10.1016/j.neuron.2011.09.026</a>.","short":"L.B. Sweeney, Y.-H. Chou, Z. Wu, W. Joo, T. Komiyama, C.J. Potter, A.L. Kolodkin, K.C. Garcia, L. Luo, Neuron 72 (2011) 734–747.","ista":"Sweeney LB, Chou Y-H, Wu Z, Joo W, Komiyama T, Potter CJ, Kolodkin AL, Garcia KC, Luo L. 2011. Secreted semaphorins from degenerating larval ORN axons direct adult projection neuron dendrite targeting. Neuron. 72(5), 734–747."},"year":"2011","date_published":"2011-12-08T00:00:00Z","type":"journal_article","volume":72,"extern":"1","status":"public","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87"},{"language":[{"iso":"eng"}],"quality_controlled":"1","page":"281-298","article_type":"original","publisher":"Elsevier","issue":"2","author":[{"first_name":"Zhuhao","last_name":"Wu","full_name":"Wu, Zhuhao"},{"id":"56BE8254-C4F0-11E9-8E45-0B23E6697425","first_name":"Lora Beatrice Jaeger","last_name":"Sweeney","orcid":"0000-0001-9242-5601","full_name":"Sweeney, Lora Beatrice Jaeger"},{"full_name":"Ayoob, Joseph C.","first_name":"Joseph C.","last_name":"Ayoob"},{"full_name":"Chak, Kayam","first_name":"Kayam","last_name":"Chak"},{"full_name":"Andreone, Benjamin J.","last_name":"Andreone","first_name":"Benjamin J."},{"full_name":"Ohyama, Tomoko","first_name":"Tomoko","last_name":"Ohyama"},{"full_name":"Kerr, Rex","first_name":"Rex","last_name":"Kerr"},{"first_name":"Liqun","last_name":"Luo","full_name":"Luo, Liqun"},{"full_name":"Zlatic, Marta","last_name":"Zlatic","first_name":"Marta"},{"first_name":"Alex L.","last_name":"Kolodkin","full_name":"Kolodkin, Alex L."}],"publication":"Neuron","_id":"7702","intvolume":"        70","month":"04","title":"A combinatorial semaphorin code instructs the initial steps of sensory circuit assembly in the Drosophila CNS","article_processing_charge":"No","date_created":"2020-04-30T10:36:30Z","publication_status":"published","oa_version":"None","status":"public","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","extern":"1","volume":70,"type":"journal_article","date_published":"2011-04-28T00:00:00Z","year":"2011","citation":{"ista":"Wu Z, Sweeney LB, Ayoob JC, Chak K, Andreone BJ, Ohyama T, Kerr R, Luo L, Zlatic M, Kolodkin AL. 2011. A combinatorial semaphorin code instructs the initial steps of sensory circuit assembly in the Drosophila CNS. Neuron. 70(2), 281–298.","mla":"Wu, Zhuhao, et al. “A Combinatorial Semaphorin Code Instructs the Initial Steps of Sensory Circuit Assembly in the Drosophila CNS.” <i>Neuron</i>, vol. 70, no. 2, Elsevier, 2011, pp. 281–98, doi:<a href=\"https://doi.org/10.1016/j.neuron.2011.02.050\">10.1016/j.neuron.2011.02.050</a>.","short":"Z. Wu, L.B. Sweeney, J.C. Ayoob, K. Chak, B.J. Andreone, T. Ohyama, R. Kerr, L. Luo, M. Zlatic, A.L. Kolodkin, Neuron 70 (2011) 281–298.","ieee":"Z. Wu <i>et al.</i>, “A combinatorial semaphorin code instructs the initial steps of sensory circuit assembly in the Drosophila CNS,” <i>Neuron</i>, vol. 70, no. 2. Elsevier, pp. 281–298, 2011.","chicago":"Wu, Zhuhao, Lora B. Sweeney, Joseph C. Ayoob, Kayam Chak, Benjamin J. Andreone, Tomoko Ohyama, Rex Kerr, Liqun Luo, Marta Zlatic, and Alex L. Kolodkin. “A Combinatorial Semaphorin Code Instructs the Initial Steps of Sensory Circuit Assembly in the Drosophila CNS.” <i>Neuron</i>. Elsevier, 2011. <a href=\"https://doi.org/10.1016/j.neuron.2011.02.050\">https://doi.org/10.1016/j.neuron.2011.02.050</a>.","apa":"Wu, Z., Sweeney, L. B., Ayoob, J. C., Chak, K., Andreone, B. J., Ohyama, T., … Kolodkin, A. L. (2011). A combinatorial semaphorin code instructs the initial steps of sensory circuit assembly in the Drosophila CNS. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2011.02.050\">https://doi.org/10.1016/j.neuron.2011.02.050</a>","ama":"Wu Z, Sweeney LB, Ayoob JC, et al. A combinatorial semaphorin code instructs the initial steps of sensory circuit assembly in the Drosophila CNS. <i>Neuron</i>. 2011;70(2):281-298. doi:<a href=\"https://doi.org/10.1016/j.neuron.2011.02.050\">10.1016/j.neuron.2011.02.050</a>"},"date_updated":"2024-01-31T10:14:29Z","abstract":[{"text":"Longitudinal axon fascicles within the Drosophila embryonic CNS provide connections between body segments and are required for coordinated neural signaling along the anterior-posterior axis. We show here that establishment of select CNS longitudinal tracts and formation of precise mechanosensory afferent innervation to the same CNS region are coordinately regulated by the secreted semaphorins Sema-2a and Sema-2b. Both Sema-2a and Sema-2b utilize the same neuronal receptor, plexin B (PlexB), but serve distinct guidance functions. Localized Sema-2b attraction promotes the initial assembly of a subset of CNS longitudinal projections and subsequent targeting of chordotonal sensory afferent axons to these same longitudinal connectives, whereas broader Sema-2a repulsion serves to prevent aberrant innervation. In the absence of Sema-2b or PlexB, chordotonal afferent connectivity within the CNS is severely disrupted, resulting in specific larval behavioral deficits. These results reveal that distinct semaphorin-mediated guidance functions converge at PlexB and are critical for functional neural circuit assembly.","lang":"eng"}],"publication_identifier":{"issn":["0896-6273"]},"day":"28","doi":"10.1016/j.neuron.2011.02.050"}]