[{"title":"Functional electron microscopy (“Flash and Freeze”) of identified cortical synapses in acute brain slices","_id":"7473","department":[{"_id":"PeJo"}],"date_created":"2020-02-10T15:59:45Z","publication_identifier":{"issn":["0896-6273"]},"publication_status":"published","oa_version":"Published Version","pmid":1,"fulldoi":"https://doi.org/10.1016/j.neuron.2019.12.022","oa":1,"article_processing_charge":"No","project":[{"grant_number":"692692","call_identifier":"H2020","name":"Biophysics and circuit function of a giant cortical glutamatergic synapse","_id":"25B7EB9E-B435-11E9-9278-68D0E5697425"},{"grant_number":"708497","name":"Presynaptic calcium channels distribution and impact on coupling at the hippocampal mossy fiber synapse","_id":"25BAF7B2-B435-11E9-9278-68D0E5697425","call_identifier":"H2020"},{"_id":"25C5A090-B435-11E9-9278-68D0E5697425","name":"Synaptic communication in neuronal microcircuits","call_identifier":"FWF","grant_number":"Z00312"},{"grant_number":"W01205","name":"Zellkommunikation in Gesundheit und Krankheit","_id":"25C3DBB6-B435-11E9-9278-68D0E5697425","call_identifier":"FWF"}],"year":"2020","language":[{"iso":"eng"}],"publisher":"Elsevier","type":"journal_article","volume":105,"page":"992-1006","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"}],"file":[{"file_size":9712957,"date_created":"2020-11-20T08:58:53Z","success":1,"relation":"main_file","date_updated":"2020-11-20T08:58:53Z","file_name":"2020_Neuron_BorgesMerjane.pdf","access_level":"open_access","creator":"dernst","file_id":"8778","checksum":"3582664addf26859e86ac5bec3e01416","content_type":"application/pdf"}],"intvolume":" 105","date_updated":"2026-10-05T22:30:05Z","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"}]},"quality_controlled":"1","publication":"Neuron","status":"public","ddc":["570"],"month":"03","isi":1,"author":[{"last_name":"Borges Merjane","id":"4305C450-F248-11E8-B48F-1D18A9856A87","full_name":"Borges Merjane, Carolina","orcid":"0000-0003-0005-401X","first_name":"Carolina"},{"last_name":"Kim","full_name":"Kim, Olena","orcid":"0000-0003-2344-1039","id":"3F8ABDDA-F248-11E8-B48F-1D18A9856A87","first_name":"Olena"},{"last_name":"Jonas","first_name":"Peter M","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","full_name":"Jonas, Peter M","orcid":"0000-0001-5001-4804"}],"day":"18","article_type":"original","license":"https://creativecommons.org/licenses/by-nc-nd/4.0/","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","doi":"10.1016/j.neuron.2019.12.022","external_id":{"isi":["000520854700008"],"pmid":["31928842"]},"corr_author":"1","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.","file_date_updated":"2020-11-20T08:58:53Z","has_accepted_license":"1","date_published":"2020-03-18T00:00:00Z","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode","name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","image":"/images/cc_by_nc_nd.png","short":"CC BY-NC-ND (4.0)"},"citation":{"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.","short":"C. Borges Merjane, O. Kim, P.M. Jonas, Neuron 105 (2020) 992–1006.","apa":"Borges Merjane, C., Kim, O., & Jonas, P. M. (2020). Functional electron microscopy (“Flash and Freeze”) of identified cortical synapses in acute brain slices. Neuron. Elsevier. https://doi.org/10.1016/j.neuron.2019.12.022","mla":"Borges Merjane, Carolina, et al. “Functional Electron Microscopy (‘Flash and Freeze’) of Identified Cortical Synapses in Acute Brain Slices.” Neuron, vol. 105, Elsevier, 2020, pp. 992–1006, doi:10.1016/j.neuron.2019.12.022.","chicago":"Borges Merjane, Carolina, Olena Kim, and Peter M Jonas. “Functional Electron Microscopy (‘Flash and Freeze’) of Identified Cortical Synapses in Acute Brain Slices.” Neuron. Elsevier, 2020. https://doi.org/10.1016/j.neuron.2019.12.022.","ama":"Borges Merjane C, Kim O, Jonas PM. Functional electron microscopy (“Flash and Freeze”) of identified cortical synapses in acute brain slices. Neuron. 2020;105:992-1006. doi:10.1016/j.neuron.2019.12.022","ieee":"C. Borges Merjane, O. Kim, and P. M. Jonas, “Functional electron microscopy (‘Flash and Freeze’) of identified cortical synapses in acute brain slices,” Neuron, vol. 105. Elsevier, pp. 992–1006, 2020."},"scopus_import":"1","ec_funded":1},{"day":"02","doi":"10.1007/978-3-662-56468-4_7","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","quality_controlled":"1","publication":"Physiologie des Menschen","series_title":"Springer-Lehrbuch","author":[{"first_name":"Peter M","orcid":"0000-0001-5001-4804","full_name":"Jonas, Peter M","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","last_name":"Jonas"}],"status":"public","month":"04","citation":{"ama":"Jonas PM. Aktionspotenzial: Fortleitung im Axon. In: Physiologie des Menschen. 32nd ed. Springer-Lehrbuch. Berlin, Heidelberg: Springer Nature; 2019:72-82. doi:10.1007/978-3-662-56468-4_7","ieee":"P. M. Jonas, “Aktionspotenzial: Fortleitung im Axon,” in Physiologie des Menschen, 32nd ed., Berlin, Heidelberg: Springer Nature, 2019, pp. 72–82.","chicago":"Jonas, Peter M. “Aktionspotenzial: Fortleitung im Axon.” In Physiologie des Menschen, 32nd ed., 72–82. Springer-Lehrbuch. Berlin, Heidelberg: Springer Nature, 2019. https://doi.org/10.1007/978-3-662-56468-4_7.","apa":"Jonas, P. M. (2019). Aktionspotenzial: Fortleitung im Axon. In Physiologie des Menschen (32nd ed., pp. 72–82). Berlin, Heidelberg: Springer Nature. https://doi.org/10.1007/978-3-662-56468-4_7","ista":"Jonas PM. 2019.Aktionspotenzial: Fortleitung im Axon. In: Physiologie des Menschen. , 72–82.","short":"P.M. Jonas, in:, Physiologie des Menschen, 32nd ed., Springer Nature, Berlin, Heidelberg, 2019, pp. 72–82.","mla":"Jonas, Peter M. “Aktionspotenzial: Fortleitung im Axon.” Physiologie des Menschen, 32nd ed., Springer Nature, 2019, pp. 72–82, doi:10.1007/978-3-662-56468-4_7."},"corr_author":"1","date_published":"2019-04-02T00:00:00Z","place":"Berlin, Heidelberg","publication_status":"published","fulldoi":"https://doi.org/10.1007/978-3-662-56468-4_7","oa_version":"None","article_processing_charge":"No","_id":"19989","title":"Aktionspotenzial: Fortleitung im Axon","department":[{"_id":"PeJo"}],"date_created":"2025-07-10T13:36:36Z","publication_identifier":{"isbn":["9783662564677"],"eisbn":["9783662564684"],"issn":["0937-7433"],"eissn":["2512-5214"]},"page":"72-82","edition":"32","abstract":[{"text":"Neurone empfangen Eingangssignale, konvertieren diese in Aktionspotenziale und generieren schließlich Ausgangssignale auf ihren Zielzellen. Dabei sind die zu überwindenden räumlichen Distanzen oft groß. Daher ist entscheidend, dass elektrische Signale in Nervenzellen schnell von einem zum anderen Ort geleitet werden können. Diese wichtige Aufgabe erfüllt das Axon, der „Ausgangsfortsatz“ der Nervenzelle. Für die schnelle Leitung des Aktionspotenzials sind sowohl die passiven Eigenschaften des axonalen Kabels als auch die aktiven Eigenschaften der Zellmembran von entscheidender Bedeutung. Die Evolution bedient sich zweier Tricks, um die Leitungsgeschwindigkeit des Aktionspotenzials zu maximieren. Der eine Trick ist die Zunahme des Axondurchmessers. Der andere Trick ist die Ausbildung von Markscheiden. Dies führt bei nahezu gleichem Platzbedarf zu einer Zunahme der Leistungsgeschwindigkeit um fast zwei Größenordnungen. Die Aktionspotenzialleitung an myelinisierten Axonen erfolgt „saltatorisch“.","lang":"ger"}],"date_updated":"2025-09-23T11:44:57Z","OA_type":"closed access","language":[{"iso":"ger"}],"year":"2019","type":"book_chapter","publisher":"Springer Nature"},{"date_published":"2019-05-31T00:00:00Z","tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"has_accepted_license":"1","file_date_updated":"2020-07-14T12:47:57Z","external_id":{"isi":["000468968400001"],"pmid":["31025934"]},"scopus_import":"1","citation":{"mla":"Dura-Bernal, Salvador, et al. “NetPyNE, a Tool for Data-Driven Multiscale Modeling of Brain Circuits.” ELife, vol. 8, e44494, eLife Sciences Publications, 2019, doi:10.7554/elife.44494.","short":"S. Dura-Bernal, B. Suter, P. Gleeson, M. Cantarelli, A. Quintana, F. Rodriguez, D.J. Kedziora, G.L. Chadderdon, C.C. Kerr, S.A. Neymotin, R.A. McDougal, M. Hines, G.M. Shepherd, W.W. Lytton, ELife 8 (2019).","apa":"Dura-Bernal, S., Suter, B., Gleeson, P., Cantarelli, M., Quintana, A., Rodriguez, F., … Lytton, W. W. (2019). NetPyNE, a tool for data-driven multiscale modeling of brain circuits. ELife. eLife Sciences Publications. https://doi.org/10.7554/elife.44494","ista":"Dura-Bernal S, Suter B, Gleeson P, Cantarelli M, Quintana A, Rodriguez F, Kedziora DJ, Chadderdon GL, Kerr CC, Neymotin SA, McDougal RA, Hines M, Shepherd GM, Lytton WW. 2019. NetPyNE, a tool for data-driven multiscale modeling of brain circuits. eLife. 8, e44494.","chicago":"Dura-Bernal, Salvador, Benjamin Suter, Padraig Gleeson, Matteo Cantarelli, Adrian Quintana, Facundo Rodriguez, David J Kedziora, et al. “NetPyNE, a Tool for Data-Driven Multiscale Modeling of Brain Circuits.” ELife. eLife Sciences Publications, 2019. https://doi.org/10.7554/elife.44494.","ieee":"S. Dura-Bernal et al., “NetPyNE, a tool for data-driven multiscale modeling of brain circuits,” eLife, vol. 8. eLife Sciences Publications, 2019.","ama":"Dura-Bernal S, Suter B, Gleeson P, et al. NetPyNE, a tool for data-driven multiscale modeling of brain circuits. eLife. 2019;8. doi:10.7554/elife.44494"},"isi":1,"status":"public","month":"05","ddc":["570"],"author":[{"first_name":"Salvador","full_name":"Dura-Bernal, Salvador","last_name":"Dura-Bernal"},{"last_name":"Suter","orcid":"0000-0002-9885-6936","full_name":"Suter, Benjamin","id":"4952F31E-F248-11E8-B48F-1D18A9856A87","first_name":"Benjamin"},{"last_name":"Gleeson","first_name":"Padraig","full_name":"Gleeson, Padraig"},{"last_name":"Cantarelli","first_name":"Matteo","full_name":"Cantarelli, Matteo"},{"first_name":"Adrian","full_name":"Quintana, Adrian","last_name":"Quintana"},{"first_name":"Facundo","full_name":"Rodriguez, Facundo","last_name":"Rodriguez"},{"last_name":"Kedziora","first_name":"David J","full_name":"Kedziora, David J"},{"first_name":"George L","full_name":"Chadderdon, George L","last_name":"Chadderdon"},{"full_name":"Kerr, Cliff C","first_name":"Cliff C","last_name":"Kerr"},{"last_name":"Neymotin","first_name":"Samuel A","full_name":"Neymotin, Samuel A"},{"last_name":"McDougal","full_name":"McDougal, Robert A","first_name":"Robert A"},{"full_name":"Hines, Michael","first_name":"Michael","last_name":"Hines"},{"full_name":"Shepherd, Gordon MG","first_name":"Gordon MG","last_name":"Shepherd"},{"last_name":"Lytton","first_name":"William W","full_name":"Lytton, William W"}],"publication":"eLife","quality_controlled":"1","doi":"10.7554/elife.44494","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","day":"31","article_type":"original","license":"https://creativecommons.org/licenses/by/4.0/","publisher":"eLife Sciences Publications","type":"journal_article","year":"2019","language":[{"iso":"eng"}],"date_updated":"2023-09-07T14:27:52Z","intvolume":" 8","file":[{"file_size":6182359,"date_created":"2020-02-04T08:41:47Z","creator":"dernst","file_id":"7444","content_type":"application/pdf","checksum":"7014189c11c10a12feeeae37f054871d","relation":"main_file","date_updated":"2020-07-14T12:47:57Z","access_level":"open_access","file_name":"2019_eLife_DuraBernal.pdf"}],"abstract":[{"text":"Biophysical modeling of neuronal networks helps to integrate and interpret rapidly growing and disparate experimental datasets at multiple scales. The NetPyNE tool (www.netpyne.org) provides both programmatic and graphical interfaces to develop data-driven multiscale network models in NEURON. NetPyNE clearly separates model parameters from implementation code. Users provide specifications at a high level via a standardized declarative language, for example connectivity rules, to create millions of cell-to-cell connections. NetPyNE then enables users to generate the NEURON network, run efficiently parallelized simulations, optimize and explore network parameters through automated batch runs, and use built-in functions for visualization and analysis – connectivity matrices, voltage traces, spike raster plots, local field potentials, and information theoretic measures. NetPyNE also facilitates model sharing by exporting and importing standardized formats (NeuroML and SONATA). NetPyNE is already being used to teach computational neuroscience students and by modelers to investigate brain regions and phenomena.","lang":"eng"}],"volume":8,"article_number":"e44494","publication_identifier":{"issn":["2050-084X"]},"date_created":"2020-01-30T09:08:01Z","department":[{"_id":"PeJo"}],"title":"NetPyNE, a tool for data-driven multiscale modeling of brain circuits","_id":"7405","article_processing_charge":"No","oa":1,"oa_version":"Published Version","fulldoi":"https://doi.org/10.7554/elife.44494","pmid":1,"publication_status":"published"},{"publication_identifier":{"issn":["2309-8503"]},"date_created":"2022-04-20T15:06:05Z","department":[{"_id":"PeJo"}],"_id":"11222","title":"Functional analysis of the docked vesicle pool in hippocampal mossy fiber terminals by electron microscopy","article_processing_charge":"No","oa":1,"fulldoi":"https://doi.org/10.25006/ia.7.s1-a3.27","oa_version":"Published Version","publication_status":"published","type":"conference_abstract","publisher":"Austrian Pharmacological Society","language":[{"iso":"eng"}],"year":"2019","project":[{"grant_number":"692692","call_identifier":"H2020","_id":"25B7EB9E-B435-11E9-9278-68D0E5697425","name":"Biophysics and circuit function of a giant cortical glutamatergic synapse"},{"grant_number":"708497","call_identifier":"H2020","_id":"25BAF7B2-B435-11E9-9278-68D0E5697425","name":"Presynaptic calcium channels distribution and impact on coupling at the hippocampal mossy fiber synapse"},{"call_identifier":"FWF","_id":"25C3DBB6-B435-11E9-9278-68D0E5697425","name":"Zellkommunikation in Gesundheit und Krankheit","grant_number":"W01205"},{"grant_number":"Z00312","_id":"25C5A090-B435-11E9-9278-68D0E5697425","name":"Synaptic communication in neuronal microcircuits","call_identifier":"FWF"}],"conference":{"location":"Innsbruck, Austria","start_date":"2019-09-25","end_date":"2019-09-27","name":"ANA: Austrian Neuroscience Association ; APHAR: Austrian Pharmacological Society"},"date_updated":"2026-10-05T22:30:05Z","intvolume":" 7","article_number":"A3.27","volume":7,"author":[{"last_name":"Kim","first_name":"Olena","id":"3F8ABDDA-F248-11E8-B48F-1D18A9856A87","full_name":"Kim, Olena","orcid":"0000-0003-2344-1039"},{"first_name":"Carolina","id":"4305C450-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-0005-401X","full_name":"Borges Merjane, Carolina","last_name":"Borges Merjane"},{"last_name":"Jonas","orcid":"0000-0001-5001-4804","full_name":"Jonas, Peter M","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","first_name":"Peter M"}],"status":"public","ddc":["570"],"month":"09","main_file_link":[{"open_access":"1","url":"https://www.intrinsicactivity.org/2019/7/S1/A3.27/"}],"issue":"Suppl. 1","publication":"Intrinsic Activity","related_material":{"record":[{"relation":"dissertation_contains","status":"public","id":"11196"}]},"quality_controlled":"1","keyword":["hippocampus","mossy fibers","readily releasable pool","electron microscopy"],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","doi":"10.25006/ia.7.s1-a3.27","day":"11","date_published":"2019-09-11T00:00:00Z","acknowledgement":"This work was supported by the ERC and EU Horizon 2020 (ERC 692692; MSC-IF 708497) and FWF Z 312-B27 Wittgenstein award; W 1205-B09).","corr_author":"1","ec_funded":1,"citation":{"ieee":"O. Kim, C. Borges Merjane, and P. M. Jonas, “Functional analysis of the docked vesicle pool in hippocampal mossy fiber terminals by electron microscopy,” in Intrinsic Activity, Innsbruck, Austria, 2019, vol. 7, no. Suppl. 1.","ama":"Kim O, Borges Merjane C, Jonas PM. Functional analysis of the docked vesicle pool in hippocampal mossy fiber terminals by electron microscopy. In: Intrinsic Activity. Vol 7. Austrian Pharmacological Society; 2019. doi:10.25006/ia.7.s1-a3.27","short":"O. Kim, C. Borges Merjane, P.M. Jonas, in:, Intrinsic Activity, Austrian Pharmacological Society, 2019.","apa":"Kim, O., Borges Merjane, C., & Jonas, P. M. (2019). Functional analysis of the docked vesicle pool in hippocampal mossy fiber terminals by electron microscopy. In Intrinsic Activity (Vol. 7). Innsbruck, Austria: Austrian Pharmacological Society. https://doi.org/10.25006/ia.7.s1-a3.27","ista":"Kim O, Borges Merjane C, Jonas PM. 2019. Functional analysis of the docked vesicle pool in hippocampal mossy fiber terminals by electron microscopy. Intrinsic Activity. ANA: Austrian Neuroscience Association ; APHAR: Austrian Pharmacological Society vol. 7, A3.27.","mla":"Kim, Olena, et al. “Functional Analysis of the Docked Vesicle Pool in Hippocampal Mossy Fiber Terminals by Electron Microscopy.” Intrinsic Activity, vol. 7, no. Suppl. 1, A3.27, Austrian Pharmacological Society, 2019, doi:10.25006/ia.7.s1-a3.27.","chicago":"Kim, Olena, Carolina Borges Merjane, and Peter M Jonas. “Functional Analysis of the Docked Vesicle Pool in Hippocampal Mossy Fiber Terminals by Electron Microscopy.” In Intrinsic Activity, Vol. 7. Austrian Pharmacological Society, 2019. https://doi.org/10.25006/ia.7.s1-a3.27."}},{"doi":"10.15479/AT:ISTA:6363","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","alternative_title":["ISTA Thesis"],"supervisor":[{"last_name":"Jonas","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-5001-4804","full_name":"Jonas, Peter M","first_name":"Peter M"}],"day":"30","status":"public","month":"04","ddc":["570"],"author":[{"first_name":"Claudia ","id":"31FFEE2E-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-4710-2082","full_name":"Espinoza Martinez, Claudia ","last_name":"Espinoza Martinez"}],"related_material":{"record":[{"id":"21","status":"public","relation":"part_of_dissertation"}]},"citation":{"ieee":"C. Espinoza Martinez, “Parvalbumin+ interneurons enable efficient pattern separation in hippocampal microcircuits,” Institute of Science and Technology Austria, 2019.","ama":"Espinoza Martinez C. Parvalbumin+ interneurons enable efficient pattern separation in hippocampal microcircuits. 2019. doi:10.15479/AT:ISTA:6363","chicago":"Espinoza Martinez, Claudia . “Parvalbumin+ Interneurons Enable Efficient Pattern Separation in Hippocampal Microcircuits.” Institute of Science and Technology Austria, 2019. https://doi.org/10.15479/AT:ISTA:6363.","apa":"Espinoza Martinez, C. (2019). Parvalbumin+ interneurons enable efficient pattern separation in hippocampal microcircuits. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:6363","ista":"Espinoza Martinez C. 2019. Parvalbumin+ interneurons enable efficient pattern separation in hippocampal microcircuits. Institute of Science and Technology Austria.","short":"C. Espinoza Martinez, Parvalbumin+ Interneurons Enable Efficient Pattern Separation in Hippocampal Microcircuits, Institute of Science and Technology Austria, 2019.","mla":"Espinoza Martinez, Claudia. Parvalbumin+ Interneurons Enable Efficient Pattern Separation in Hippocampal Microcircuits. Institute of Science and Technology Austria, 2019, doi:10.15479/AT:ISTA:6363."},"has_accepted_license":"1","file_date_updated":"2021-02-11T11:17:15Z","date_published":"2019-04-30T00:00:00Z","corr_author":"1","oa":1,"article_processing_charge":"No","publication_status":"published","OA_place":"publisher","oa_version":"Published Version","fulldoi":"https://doi.org/10.15479/AT:ISTA:6363","date_created":"2019-04-30T11:56:10Z","publication_identifier":{"issn":["2663-337X"],"isbn":["978-3-99078-000-8"]},"title":"Parvalbumin+ interneurons enable efficient pattern separation in hippocampal microcircuits","_id":"6363","department":[{"_id":"PeJo"}],"degree_awarded":"PhD","file":[{"embargo":"2020-05-09","date_created":"2019-05-07T16:00:39Z","file_size":13966891,"content_type":"application/pdf","checksum":"77c6c05cfe8b58c8abcf1b854375d084","file_id":"6389","creator":"cespinoza","file_name":"Espinozathesis_all2.pdf","access_level":"open_access","date_updated":"2021-02-11T11:17:15Z","relation":"main_file"},{"file_size":11159900,"date_created":"2019-05-07T16:00:48Z","embargo_to":"open_access","creator":"cespinoza","file_id":"6390","checksum":"f6aa819f127691a2b0fc21c76eb09746","content_type":"application/vnd.openxmlformats-officedocument.wordprocessingml.document","date_updated":"2020-07-14T12:47:28Z","relation":"source_file","access_level":"closed","file_name":"Espinoza_Thesis.docx"}],"date_updated":"2026-04-08T13:57:19Z","page":"140","abstract":[{"lang":"eng","text":"Distinguishing between similar experiences is achieved by the brain in a process called pattern separation. In the hippocampus, pattern separation reduces the interference of memories and increases the storage capacity by decorrelating similar inputs patterns of neuronal activity into non-overlapping output firing patterns. Winners-take-all (WTA) mechanism is a theoretical model for pattern separation in which a \"winner\" cell suppresses the activity of the neighboring neurons through feedback inhibition. However, if the network properties of the dentate gyrus support WTA as a biologically conceivable model remains unknown. Here, we showed that the connectivity rules of PV+interneurons and their synaptic properties are optimizedfor efficient pattern separation. We found using multiple whole-cell in vitrorecordings that PV+interneurons mainly connect to granule cells (GC) through lateral inhibition, a form of feedback inhibition in which a GC inhibits other GCs but not itself through the activation of PV+interneurons. Thus, lateral inhibition between GC–PV+interneurons was ~10 times more abundant than recurrent connections. Furthermore, the GC–PV+interneuron connectivity was more spatially confined but less abundant than PV+interneurons–GC connectivity, leading to an asymmetrical distribution of excitatory and inhibitory connectivity. Our network model of the dentate gyrus with incorporated real connectivity rules efficiently decorrelates neuronal activity patterns using WTA as the primary mechanism. This process relied on lateral inhibition, fast-signaling properties of PV+interneurons and the asymmetrical distribution of excitatory and inhibitory connectivity. Finally, we found that silencing the activity of PV+interneurons in vivoleads to acute deficits in discrimination between similar environments, suggesting that PV+interneuron networks are necessary for behavioral relevant computations. Our results demonstrate that PV+interneurons possess unique connectivity and fast signaling properties that confer to the dentate gyrus network properties that allow the emergence of pattern separation. Thus, our results contribute to the knowledge of how specific forms of network organization underlie sophisticated types of information processing. \r\n"}],"year":"2019","language":[{"iso":"eng"}],"publisher":"Institute of Science and Technology Austria","type":"dissertation"},{"intvolume":" 98","date_updated":"2025-04-15T08:29:04Z","file":[{"file_id":"5690","checksum":"76070f3729f9c603e1080d0151aa2b11","content_type":"application/pdf","creator":"dernst","date_updated":"2020-07-14T12:46:03Z","relation":"main_file","file_name":"2018_Neuron_Hu.pdf","access_level":"open_access","date_created":"2018-12-17T10:37:50Z","file_size":3180444}],"abstract":[{"text":"Fast-spiking, parvalbumin-expressing GABAergic interneurons (PV+-BCs) express a complex machinery of rapid signaling mechanisms, including specialized voltage-gated ion channels to generate brief action potentials (APs). However, short APs are associated with overlapping Na+ and K+ fluxes and are therefore energetically expensive. How the potentially vicious combination of high AP frequency and inefficient spike generation can be reconciled with limited energy supply is presently unclear. To address this question, we performed direct recordings from the PV+-BC axon, the subcellular structure where active conductances for AP initiation and propagation are located. Surprisingly, the energy required for the AP was, on average, only ∼1.6 times the theoretical minimum. High energy efficiency emerged from the combination of fast inactivation of Na+ channels and delayed activation of Kv3-type K+ channels, which minimized ion flux overlap during APs. Thus, the complementary tuning of axonal Na+ and K+ channel gating optimizes both fast signaling properties and metabolic efficiency. Hu et al. demonstrate that action potentials in parvalbumin-expressing GABAergic interneuron axons are energetically efficient, which is highly unexpected given their brief duration. High energy efficiency emerges from the combination of fast inactivation of voltage-gated Na+ channels and delayed activation of Kv3 channels in the axon. ","lang":"eng"}],"page":"156 - 165","volume":98,"type":"journal_article","publisher":"Elsevier","language":[{"iso":"eng"}],"project":[{"call_identifier":"FP7","_id":"25C0F108-B435-11E9-9278-68D0E5697425","name":"Nanophysiology of fast-spiking, parvalbumin-expressing GABAergic interneurons","grant_number":"268548"},{"grant_number":"692692","name":"Biophysics and circuit function of a giant cortical glutamatergic synapse","_id":"25B7EB9E-B435-11E9-9278-68D0E5697425","call_identifier":"H2020"},{"grant_number":"P24909-B24","name":"Mechanisms of transmitter release at GABAergic synapses","_id":"25C26B1E-B435-11E9-9278-68D0E5697425","call_identifier":"FWF"},{"grant_number":"Z00312","call_identifier":"FWF","_id":"25C5A090-B435-11E9-9278-68D0E5697425","name":"Synaptic communication in neuronal microcircuits"}],"year":"2018","publist_id":"7545","article_processing_charge":"Yes (in subscription journal)","oa":1,"fulldoi":"https://doi.org/10.1016/j.neuron.2018.02.024","oa_version":"Published Version","publication_status":"published","date_created":"2018-12-11T11:45:48Z","department":[{"_id":"PeJo"}],"_id":"320","title":"Complementary tuning of Na+ and K+ channel gating underlies fast and energy-efficient action potentials in GABAergic interneuron axons","ec_funded":1,"scopus_import":"1","citation":{"ama":"Hu H, Roth F, Vandael DH, Jonas PM. Complementary tuning of Na+ and K+ channel gating underlies fast and energy-efficient action potentials in GABAergic interneuron axons. Neuron. 2018;98(1):156-165. doi:10.1016/j.neuron.2018.02.024","ieee":"H. Hu, F. Roth, D. H. Vandael, and P. M. Jonas, “Complementary tuning of Na+ and K+ channel gating underlies fast and energy-efficient action potentials in GABAergic interneuron axons,” Neuron, vol. 98, no. 1. Elsevier, pp. 156–165, 2018.","chicago":"Hu, Hua, Fabian Roth, David H Vandael, and Peter M Jonas. “Complementary Tuning of Na+ and K+ Channel Gating Underlies Fast and Energy-Efficient Action Potentials in GABAergic Interneuron Axons.” Neuron. Elsevier, 2018. https://doi.org/10.1016/j.neuron.2018.02.024.","ista":"Hu H, Roth F, Vandael DH, Jonas PM. 2018. Complementary tuning of Na+ and K+ channel gating underlies fast and energy-efficient action potentials in GABAergic interneuron axons. Neuron. 98(1), 156–165.","short":"H. Hu, F. Roth, D.H. Vandael, P.M. Jonas, Neuron 98 (2018) 156–165.","apa":"Hu, H., Roth, F., Vandael, D. H., & Jonas, P. M. (2018). Complementary tuning of Na+ and K+ channel gating underlies fast and energy-efficient action potentials in GABAergic interneuron axons. Neuron. Elsevier. https://doi.org/10.1016/j.neuron.2018.02.024","mla":"Hu, Hua, et al. “Complementary Tuning of Na+ and K+ Channel Gating Underlies Fast and Energy-Efficient Action Potentials in GABAergic Interneuron Axons.” Neuron, vol. 98, no. 1, Elsevier, 2018, pp. 156–65, doi:10.1016/j.neuron.2018.02.024."},"date_published":"2018-04-04T00:00:00Z","tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"has_accepted_license":"1","file_date_updated":"2020-07-14T12:46:03Z","corr_author":"1","external_id":{"isi":["000429192100016"]},"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","doi":"10.1016/j.neuron.2018.02.024","day":"04","author":[{"last_name":"Hu","first_name":"Hua","id":"4AC0145C-F248-11E8-B48F-1D18A9856A87","full_name":"Hu, Hua"},{"last_name":"Roth","first_name":"Fabian","full_name":"Roth, Fabian"},{"first_name":"David H","id":"3AE48E0A-F248-11E8-B48F-1D18A9856A87","full_name":"Vandael, David H","orcid":"0000-0001-7577-1676","last_name":"Vandael"},{"last_name":"Jonas","first_name":"Peter M","orcid":"0000-0001-5001-4804","full_name":"Jonas, Peter M","id":"353C1B58-F248-11E8-B48F-1D18A9856A87"}],"month":"04","status":"public","ddc":["570"],"isi":1,"issue":"1","publication":"Neuron","quality_controlled":"1","related_material":{"link":[{"url":"https://ist.ac.at/en/news/a-certain-type-of-neurons-is-more-energy-efficient-than-previously-assumed/","relation":"press_release","description":"News on IST Homepage"}]}},{"oa":1,"article_processing_charge":"No","publication_status":"published","OA_place":"publisher","oa_version":"Published Version","fulldoi":"https://doi.org/10.15479/AT:ISTA:th_997","date_created":"2018-12-11T11:45:49Z","publication_identifier":{"issn":["2663-337X"]},"title":"Synaptotagmins ensure speed and efficiency of inhibitory neurotransmitter release","_id":"324","department":[{"_id":"PeJo"}],"degree_awarded":"PhD","file":[{"creator":"system","file_id":"5046","checksum":"8e163ae9e927401b9fa7c1b3e6a3631a","content_type":"application/pdf","date_updated":"2020-07-14T12:46:04Z","relation":"main_file","access_level":"open_access","file_name":"IST-2018-997-v1+1_Thesis_chong_a.pdf","file_size":8719458,"date_created":"2018-12-12T10:13:58Z"},{"date_updated":"2020-07-14T12:46:04Z","relation":"source_file","access_level":"closed","file_name":"2018_Thesis_chong_source.pages","creator":"dernst","file_id":"6221","content_type":"application/octet-stream","checksum":"f7d7260029a5fbb5c982db61328ade52","file_size":47841940,"date_created":"2019-04-05T09:25:26Z"}],"date_updated":"2026-04-08T14:09:29Z","page":"110","pubrep_id":"997","abstract":[{"lang":"eng","text":"Neuronal networks in the brain consist of two main types of neuron, glutamatergic principal neurons and GABAergic interneurons. Although these interneurons only represent 10–20% of the whole population, they mediate feedback and feedforward inhibition and are involved in the generation of high-frequency network oscillations. A hallmark functional property of GABAergic interneurons, especially of the parvalbumin‑expressing (PV+) subtypes, is the speed of signaling at their output synapse across species and brain regions. Several molecular and subcellular factors may underlie the submillisecond signaling at GABAergic synapses. Such as the selective use of P/Q type Ca2+ channels and the tight coupling between Ca2+ channels and Ca2+ sensors of exocytosis. However, whether the molecular identity of the release sensor contributes to these signaling properties remains unclear. Besides, these interneurons are mainly show depression in response to train of stimuli. How could they keep sufficient release to control the activity of postsynaptic principal neurons during high network activity, is largely elusive. For my Ph.D. work, we firstly examined the Ca2+ sensor of exocytosis at the GABAergic basket cell (BC) to Purkinje cell (PC) synapse in the cerebellum. Immunolabeling suggested that BC terminals selectively expressed synaptotagmin 2 (Syt2), whereas synaptotagmin 1 (Syt1) was enriched in excitatory terminals. Genetic elimination of Syt2 reduced action potential-evoked release to ~10% compared to the wild-type control, identifying Syt2 as the major Ca2+ sensor at BC‑PC synapses. Differential adenovirus-mediated rescue revealed Syt2 triggered release with shorter latency and higher temporal precision, and mediated faster vesicle pool replenishment than Syt1. Furthermore, deletion of Syt2 severely reduced and delayed disynaptic inhibition following parallel fiber stimulation. Thus, the selective use of Syt2 as the release sensor at BC–PC synapse ensures fast feedforward inhibition in cerebellar microcircuits. Additionally, we tested the function of another synaptotagmin member, Syt7, for inhibitory synaptic transmission at the BC–PC synapse. Syt7 is thought to be a Ca2+ sensor that mediates asynchronous transmitter release and facilitation at synapses. However, it is strongly expressed in fast-spiking, PV+ GABAergic interneurons and the output synapses of these neurons produce only minimal asynchronous release and show depression rather than facilitation. How could Syt7, a facilitation sensor, contribute to the depressed inhibitory synaptic transmission needs to be further investigated and understood. Our results indicated that at the BC–PC synapse, Syt7 contributes to asynchronous release, pool replenishment and facilitation. In combination, these three effects ensure efficient transmitter release during high‑frequency activity and guarantee frequency independence of inhibition. Taken together, our results confirmed that Syt2, which has the fastest kinetic properties among all synaptotagmin members, is mainly used by the inhibitory BC‑PC synapse for synaptic transmission, contributing to the speed and temporal precision of transmitter release. Furthermore, we showed that Syt7, another highly expressed synaptotagmin member in the output synapses of cerebellar BCs, is used for ensuring efficient inhibitor synaptic transmission during high activity."}],"year":"2018","language":[{"iso":"eng"}],"publisher":"Institute of Science and Technology Austria","type":"dissertation","publist_id":"7541","doi":"10.15479/AT:ISTA:th_997","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","alternative_title":["ISTA Thesis"],"supervisor":[{"first_name":"Peter M","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","full_name":"Jonas, Peter M","orcid":"0000-0001-5001-4804","last_name":"Jonas"}],"day":"01","ddc":["571"],"month":"03","status":"public","author":[{"full_name":"Chen, Chong","id":"3DFD581A-F248-11E8-B48F-1D18A9856A87","first_name":"Chong","last_name":"Chen"}],"related_material":{"record":[{"relation":"part_of_dissertation","status":"public","id":"1117"},{"relation":"part_of_dissertation","status":"public","id":"749"}]},"citation":{"ieee":"C. Chen, “Synaptotagmins ensure speed and efficiency of inhibitory neurotransmitter release,” Institute of Science and Technology Austria, 2018.","ama":"Chen C. Synaptotagmins ensure speed and efficiency of inhibitory neurotransmitter release. 2018. doi:10.15479/AT:ISTA:th_997","chicago":"Chen, Chong. “Synaptotagmins Ensure Speed and Efficiency of Inhibitory Neurotransmitter Release.” Institute of Science and Technology Austria, 2018. https://doi.org/10.15479/AT:ISTA:th_997.","mla":"Chen, Chong. Synaptotagmins Ensure Speed and Efficiency of Inhibitory Neurotransmitter Release. Institute of Science and Technology Austria, 2018, doi:10.15479/AT:ISTA:th_997.","ista":"Chen C. 2018. Synaptotagmins ensure speed and efficiency of inhibitory neurotransmitter release. Institute of Science and Technology Austria.","apa":"Chen, C. (2018). Synaptotagmins ensure speed and efficiency of inhibitory neurotransmitter release. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:th_997","short":"C. Chen, Synaptotagmins Ensure Speed and Efficiency of Inhibitory Neurotransmitter Release, Institute of Science and Technology Austria, 2018."},"file_date_updated":"2020-07-14T12:46:04Z","has_accepted_license":"1","tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"date_published":"2018-03-01T00:00:00Z","corr_author":"1"},{"fulldoi":"https://doi.org/10.1038/s41467-018-06899-3","oa_version":"Published Version","publication_status":"published","article_processing_charge":"No","oa":1,"department":[{"_id":"PeJo"}],"_id":"21","title":"Parvalbumin+ interneurons obey unique connectivity rules and establish a powerful lateral-inhibition microcircuit in dentate gyrus","date_created":"2018-12-11T11:44:12Z","abstract":[{"lang":"eng","text":"Parvalbumin-positive (PV+) GABAergic interneurons in hippocampal microcircuits are thought to play a key role in several higher network functions, such as feedforward and feedback inhibition, network oscillations, and pattern separation. Fast lateral inhibition mediated by GABAergic interneurons may implement a winner-takes-all mechanism in the hippocampal input layer. However, it is not clear whether the functional connectivity rules of granule cells (GCs) and interneurons in the dentate gyrus are consistent with such a mechanism. Using simultaneous patch-clamp recordings from up to seven GCs and up to four PV+ interneurons in the dentate gyrus, we find that connectivity is structured in space, synapse-specific, and enriched in specific disynaptic motifs. In contrast to the neocortex, lateral inhibition in the dentate gyrus (in which a GC inhibits neighboring GCs via a PV+ interneuron) is ~ 10-times more abundant than recurrent inhibition (in which a GC inhibits itself). Thus, unique connectivity rules may enable the dentate gyrus to perform specific higher-order computations"}],"article_number":"4605","volume":9,"intvolume":" 9","date_updated":"2026-10-05T22:30:41Z","file":[{"file_name":"2018_NatureComm_Espinoza.pdf","access_level":"open_access","date_updated":"2020-07-14T12:45:28Z","relation":"main_file","creator":"dernst","checksum":"9fe2a63bd95a5067d896c087d07998f3","content_type":"application/pdf","file_id":"5715","file_size":4651930,"date_created":"2018-12-17T15:41:57Z"}],"publist_id":"8034","type":"journal_article","publisher":"Nature Publishing Group","language":[{"iso":"eng"}],"year":"2018","project":[{"call_identifier":"H2020","_id":"25B7EB9E-B435-11E9-9278-68D0E5697425","name":"Biophysics and circuit function of a giant cortical glutamatergic synapse","grant_number":"692692"},{"grant_number":"Z00312","call_identifier":"FWF","name":"Synaptic communication in neuronal microcircuits","_id":"25C5A090-B435-11E9-9278-68D0E5697425"}],"article_type":"original","day":"02","doi":"10.1038/s41467-018-06899-3","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","publication":"Nature Communications","quality_controlled":"1","related_material":{"record":[{"status":"public","relation":"dissertation_contains","id":"6363"}],"link":[{"relation":"press_release","description":"News on IST Homepage","url":"https://ist.ac.at/en/news/lateral-inhibition-keeps-similar-memories-apart/"}]},"author":[{"last_name":"Espinoza Martinez","first_name":"Claudia ","orcid":"0000-0003-4710-2082","full_name":"Espinoza Martinez, Claudia ","id":"31FFEE2E-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Guzmán","first_name":"José","id":"30CC5506-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-2209-5242","full_name":"Guzmán, José"},{"first_name":"Xiaomin","full_name":"Zhang, Xiaomin","orcid":"0000-0003-0256-6529","id":"423EC9C2-F248-11E8-B48F-1D18A9856A87","last_name":"Zhang"},{"last_name":"Jonas","full_name":"Jonas, Peter M","orcid":"0000-0001-5001-4804","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","first_name":"Peter M"}],"ddc":["570"],"isi":1,"status":"public","month":"11","issue":"1","citation":{"ama":"Espinoza Martinez C, Guzmán J, Zhang X, Jonas PM. Parvalbumin+ interneurons obey unique connectivity rules and establish a powerful lateral-inhibition microcircuit in dentate gyrus. Nature Communications. 2018;9(1). doi:10.1038/s41467-018-06899-3","ieee":"C. Espinoza Martinez, J. Guzmán, X. Zhang, and P. M. Jonas, “Parvalbumin+ interneurons obey unique connectivity rules and establish a powerful lateral-inhibition microcircuit in dentate gyrus,” Nature Communications, vol. 9, no. 1. Nature Publishing Group, 2018.","ista":"Espinoza Martinez C, Guzmán J, Zhang X, Jonas PM. 2018. Parvalbumin+ interneurons obey unique connectivity rules and establish a powerful lateral-inhibition microcircuit in dentate gyrus. Nature Communications. 9(1), 4605.","apa":"Espinoza Martinez, C., Guzmán, J., Zhang, X., & Jonas, P. M. (2018). Parvalbumin+ interneurons obey unique connectivity rules and establish a powerful lateral-inhibition microcircuit in dentate gyrus. Nature Communications. Nature Publishing Group. https://doi.org/10.1038/s41467-018-06899-3","short":"C. Espinoza Martinez, J. Guzmán, X. Zhang, P.M. Jonas, Nature Communications 9 (2018).","mla":"Espinoza Martinez, Claudia, et al. “Parvalbumin+ Interneurons Obey Unique Connectivity Rules and Establish a Powerful Lateral-Inhibition Microcircuit in Dentate Gyrus.” Nature Communications, vol. 9, no. 1, 4605, Nature Publishing Group, 2018, doi:10.1038/s41467-018-06899-3.","chicago":"Espinoza Martinez, Claudia , José Guzmán, Xiaomin Zhang, and Peter M Jonas. “Parvalbumin+ Interneurons Obey Unique Connectivity Rules and Establish a Powerful Lateral-Inhibition Microcircuit in Dentate Gyrus.” Nature Communications. Nature Publishing Group, 2018. https://doi.org/10.1038/s41467-018-06899-3."},"ec_funded":1,"scopus_import":"1","external_id":{"isi":["000449069700009"]},"date_published":"2018-11-02T00:00:00Z","tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"acknowledgement":"This project received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 692692) and the Fond zur Förderung der Wissenschaftlichen Forschung (Z 312-B27, Wittgenstein award), both to P.J..","file_date_updated":"2020-07-14T12:45:28Z","has_accepted_license":"1"},{"scopus_import":"1","ec_funded":1,"citation":{"ista":"Chen C, Arai itaru, Satterield R, Young S, Jonas PM. 2017. Synaptotagmin 2 is the fast Ca2+ sensor at a central inhibitory synapse. Cell Reports. 18(3), 723–736.","short":"C. Chen, itaru Arai, R. Satterield, S. Young, P.M. Jonas, Cell Reports 18 (2017) 723–736.","apa":"Chen, C., Arai, itaru, Satterield, R., Young, S., & Jonas, P. M. (2017). Synaptotagmin 2 is the fast Ca2+ sensor at a central inhibitory synapse. Cell Reports. Cell Press. https://doi.org/10.1016/j.celrep.2016.12.067","mla":"Chen, Chong, et al. “Synaptotagmin 2 Is the Fast Ca2+ Sensor at a Central Inhibitory Synapse.” Cell Reports, vol. 18, no. 3, Cell Press, 2017, pp. 723–36, doi:10.1016/j.celrep.2016.12.067.","chicago":"Chen, Chong, itaru Arai, Rachel Satterield, Samuel Young, and Peter M Jonas. “Synaptotagmin 2 Is the Fast Ca2+ Sensor at a Central Inhibitory Synapse.” Cell Reports. Cell Press, 2017. https://doi.org/10.1016/j.celrep.2016.12.067.","ama":"Chen C, Arai itaru, Satterield R, Young S, Jonas PM. Synaptotagmin 2 is the fast Ca2+ sensor at a central inhibitory synapse. Cell Reports. 2017;18(3):723-736. doi:10.1016/j.celrep.2016.12.067","ieee":"C. Chen, itaru Arai, R. Satterield, S. Young, and P. M. Jonas, “Synaptotagmin 2 is the fast Ca2+ sensor at a central inhibitory synapse,” Cell Reports, vol. 18, no. 3. Cell Press, pp. 723–736, 2017."},"file_date_updated":"2018-12-12T10:16:09Z","has_accepted_license":"1","tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"date_published":"2017-01-17T00:00:00Z","external_id":{"isi":["000396470600013"]},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","doi":"10.1016/j.celrep.2016.12.067","day":"17","issue":"3","isi":1,"status":"public","month":"01","ddc":["571"],"author":[{"last_name":"Chen","full_name":"Chen, Chong","id":"3DFD581A-F248-11E8-B48F-1D18A9856A87","first_name":"Chong"},{"last_name":"Arai","full_name":"Arai, Itaru","id":"32A73F6C-F248-11E8-B48F-1D18A9856A87","first_name":"Itaru"},{"last_name":"Satterield","first_name":"Rachel","full_name":"Satterield, Rachel"},{"full_name":"Young, Samuel","first_name":"Samuel","last_name":"Young"},{"last_name":"Jonas","full_name":"Jonas, Peter M","orcid":"0000-0001-5001-4804","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","first_name":"Peter M"}],"quality_controlled":"1","related_material":{"record":[{"id":"324","relation":"dissertation_contains","status":"public"}]},"publication":"Cell Reports","file":[{"date_created":"2018-12-12T10:16:09Z","file_size":4427591,"content_type":"application/pdf","file_id":"5195","creator":"system","file_name":"IST-2017-751-v1+1_1-s2.0-S2211124716317740-main.pdf","access_level":"open_access","relation":"main_file","date_updated":"2018-12-12T10:16:09Z"}],"acknowledged_ssus":[{"_id":"Bio"},{"_id":"PreCl"}],"intvolume":" 18","date_updated":"2026-04-08T14:09:28Z","volume":18,"page":"723 - 736","abstract":[{"lang":"eng","text":"GABAergic synapses in brain circuits generate inhibitory output signals with submillisecond latency and temporal precision. Whether the molecular identity of the release sensor contributes to these signaling properties remains unclear. Here, we examined the Ca^2+ sensor of exocytosis at GABAergic basket cell (BC) to Purkinje cell (PC) synapses in cerebellum. Immunolabeling suggested that BC terminals selectively expressed synaptotagmin 2 (Syt2), whereas synaptotagmin 1 (Syt1) was enriched in excitatory terminals. Genetic elimination of Syt2 reduced action potential-evoked release to ∼10%, identifying Syt2 as the major Ca^2+ sensor at BC-PC synapses. Differential adenovirus-mediated rescue revealed that Syt2 triggered release with shorter latency and higher temporal precision and mediated faster vesicle pool replenishment than Syt1. Furthermore, deletion of Syt2 severely reduced and delayed disynaptic inhibition following parallel fiber stimulation. Thus, the selective use of Syt2 as release sensor at BC-PC synapses ensures fast and efficient feedforward inhibition in cerebellar microcircuits. #bioimagingfacility-author"}],"pubrep_id":"751","project":[{"call_identifier":"FWF","_id":"25C26B1E-B435-11E9-9278-68D0E5697425","name":"Mechanisms of transmitter release at GABAergic synapses","grant_number":"P24909-B24"},{"grant_number":"268548","_id":"25C0F108-B435-11E9-9278-68D0E5697425","name":"Nanophysiology of fast-spiking, parvalbumin-expressing GABAergic interneurons","call_identifier":"FP7"}],"year":"2017","language":[{"iso":"eng"}],"publisher":"Cell Press","type":"journal_article","publist_id":"6245","oa":1,"article_processing_charge":"No","publication_status":"published","oa_version":"Published Version","fulldoi":"https://doi.org/10.1016/j.celrep.2016.12.067","date_created":"2018-12-11T11:50:14Z","publication_identifier":{"issn":["2211-1247"]},"title":"Synaptotagmin 2 is the fast Ca2+ sensor at a central inhibitory synapse","_id":"1117","department":[{"_id":"PeJo"}]},{"department":[{"_id":"PeJo"},{"_id":"JoCs"}],"title":"Phase-locked inhibition, but not excitation, underlies hippocampal ripple oscillations in awake mice in vivo","_id":"1118","date_created":"2018-12-11T11:50:15Z","oa_version":"Published Version","fulldoi":"https://doi.org/10.1016/j.neuron.2016.12.018","publication_status":"published","article_processing_charge":"No","oa":1,"publist_id":"6244","publisher":"Elsevier","type":"journal_article","year":"2017","project":[{"name":"Mechanisms of transmitter release at GABAergic synapses","_id":"25C26B1E-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","grant_number":"P24909-B24"},{"name":"Nanophysiology of fast-spiking, parvalbumin-expressing GABAergic interneurons","_id":"25C0F108-B435-11E9-9278-68D0E5697425","call_identifier":"FP7","grant_number":"268548"}],"language":[{"iso":"eng"}],"pubrep_id":"752","abstract":[{"text":"Sharp wave-ripple (SWR) oscillations play a key role in memory consolidation during non-rapid eye movement sleep, immobility, and consummatory behavior. However, whether temporally modulated synaptic excitation or inhibition underlies the ripples is controversial. To address this question, we performed simultaneous recordings of excitatory and inhibitory postsynaptic currents (EPSCs and IPSCs) and local field potentials (LFPs) in the CA1 region of awake mice in vivo. During SWRs, inhibition dominated over excitation, with a peak conductance ratio of 4.1 ± 0.5. Furthermore, the amplitude of SWR-associated IPSCs was positively correlated with SWR magnitude, whereas that of EPSCs was not. Finally, phase analysis indicated that IPSCs were phase-locked to individual ripple cycles, whereas EPSCs were uniformly distributed in phase space. Optogenetic inhibition indicated that PV+ interneurons provided a major contribution to SWR-associated IPSCs. Thus, phasic inhibition, but not excitation, shapes SWR oscillations in the hippocampal CA1 region in vivo.","lang":"eng"}],"volume":93,"page":"308 - 314","date_updated":"2025-04-15T07:20:01Z","intvolume":" 93","file":[{"date_created":"2018-12-12T10:08:56Z","file_size":2738950,"relation":"main_file","date_updated":"2018-12-12T10:08:56Z","access_level":"open_access","file_name":"IST-2017-752-v1+1_1-s2.0-S0896627316309606-main.pdf","file_id":"4719","content_type":"application/pdf","creator":"system"}],"acknowledged_ssus":[{"_id":"M-Shop"},{"_id":"ScienComp"},{"_id":"PreCl"}],"publication":"Neuron","quality_controlled":"1","isi":1,"month":"01","ddc":["571"],"status":"public","author":[{"full_name":"Gan, Jian","id":"3614E438-F248-11E8-B48F-1D18A9856A87","first_name":"Jian","last_name":"Gan"},{"last_name":"Weng","full_name":"Weng, Shih-Ming","id":"2F9C5AC8-F248-11E8-B48F-1D18A9856A87","first_name":"Shih-Ming"},{"first_name":"Alejandro","full_name":"Pernia-Andrade, Alejandro","id":"36963E98-F248-11E8-B48F-1D18A9856A87","last_name":"Pernia-Andrade"},{"first_name":"Jozsef L","id":"3FA14672-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-5193-4036","full_name":"Csicsvari, Jozsef L","last_name":"Csicsvari"},{"last_name":"Jonas","full_name":"Jonas, Peter M","orcid":"0000-0001-5001-4804","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","first_name":"Peter M"}],"issue":"2","day":"18","doi":"10.1016/j.neuron.2016.12.018","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","external_id":{"isi":["000396428200010"]},"tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"date_published":"2017-01-18T00:00:00Z","file_date_updated":"2018-12-12T10:08:56Z","has_accepted_license":"1","citation":{"ama":"Gan J, Weng S-M, Pernia-Andrade A, Csicsvari JL, Jonas PM. Phase-locked inhibition, but not excitation, underlies hippocampal ripple oscillations in awake mice in vivo. Neuron. 2017;93(2):308-314. doi:10.1016/j.neuron.2016.12.018","ieee":"J. Gan, S.-M. Weng, A. Pernia-Andrade, J. L. Csicsvari, and P. M. Jonas, “Phase-locked inhibition, but not excitation, underlies hippocampal ripple oscillations in awake mice in vivo,” Neuron, vol. 93, no. 2. Elsevier, pp. 308–314, 2017.","chicago":"Gan, Jian, Shih-Ming Weng, Alejandro Pernia-Andrade, Jozsef L Csicsvari, and Peter M Jonas. “Phase-Locked Inhibition, but Not Excitation, Underlies Hippocampal Ripple Oscillations in Awake Mice in Vivo.” Neuron. Elsevier, 2017. https://doi.org/10.1016/j.neuron.2016.12.018.","mla":"Gan, Jian, et al. “Phase-Locked Inhibition, but Not Excitation, Underlies Hippocampal Ripple Oscillations in Awake Mice in Vivo.” Neuron, vol. 93, no. 2, Elsevier, 2017, pp. 308–14, doi:10.1016/j.neuron.2016.12.018.","short":"J. Gan, S.-M. Weng, A. Pernia-Andrade, J.L. Csicsvari, P.M. Jonas, Neuron 93 (2017) 308–314.","ista":"Gan J, Weng S-M, Pernia-Andrade A, Csicsvari JL, Jonas PM. 2017. Phase-locked inhibition, but not excitation, underlies hippocampal ripple oscillations in awake mice in vivo. Neuron. 93(2), 308–314.","apa":"Gan, J., Weng, S.-M., Pernia-Andrade, A., Csicsvari, J. L., & Jonas, P. M. (2017). Phase-locked inhibition, but not excitation, underlies hippocampal ripple oscillations in awake mice in vivo. Neuron. Elsevier. https://doi.org/10.1016/j.neuron.2016.12.018"},"ec_funded":1,"scopus_import":"1"},{"file":[{"file_id":"4913","checksum":"1254dcc5b04a996d97fad9a726b42727","content_type":"application/pdf","creator":"system","date_updated":"2020-07-14T12:47:27Z","relation":"main_file","access_level":"open_access","file_name":"IST-2017-906-v1+1_SHTI236-0356.pdf","date_created":"2018-12-12T10:11:56Z","file_size":443635}],"intvolume":" 236","date_updated":"2025-09-11T07:27:53Z","conference":{"name":"eHealth: Health Informatics Meets eHealth","location":"Vienna, Austria","start_date":"2017-05-23","end_date":"2017-05-24"},"volume":236,"page":"356 - 362","pubrep_id":"906","abstract":[{"lang":"eng","text":"Background: Standards have become available to share semantically encoded vital parameters from medical devices, as required for example by personal healthcare records. Standardised sharing of biosignal data largely remains open. Objectives: The goal of this work is to explore available biosignal file format and data exchange standards and profiles, and to conceptualise end-To-end solutions. Methods: The authors reviewed and discussed available biosignal file format standards with other members of international standards development organisations (SDOs). Results: A raw concept for standards based acquisition, storage, archiving and sharing of biosignals was developed. The GDF format may serve for storing biosignals. Signals can then be shared using FHIR resources and may be stored on FHIR servers or in DICOM archives, with DICOM waveforms as one possible format. Conclusion: Currently a group of international SDOs (e.g. HL7, IHE, DICOM, IEEE) is engaged in intensive discussions. This discussion extends existing work that already was adopted by large implementer communities. The concept presented here only reports the current status of the discussion in Austria. The discussion will continue internationally, with results to be expected over the coming years."}],"year":"2017","language":[{"iso":"eng"}],"publisher":"IOS Press","type":"conference","publist_id":"7164","oa":1,"article_processing_charge":"No","publication_status":"published","oa_version":"Published Version","fulldoi":"https://doi.org/10.3233/978-1-61499-759-7-356","date_created":"2018-12-11T11:47:36Z","publication_identifier":{"isbn":["978-161499758-0"]},"title":"Biosignals standards and FHIR: The way to go","_id":"630","department":[{"_id":"ScienComp"},{"_id":"PeJo"}],"scopus_import":"1","citation":{"mla":"Sauermann, Stefan, et al. Biosignals Standards and FHIR: The Way to Go. Vol. 236, IOS Press, 2017, pp. 356–62, doi:10.3233/978-1-61499-759-7-356.","apa":"Sauermann, S., David, V., Schlögl, A., Egelkraut, R., Frohner, M., Pohn, B., … Mense, A. (2017). Biosignals standards and FHIR: The way to go (Vol. 236, pp. 356–362). Presented at the eHealth: Health Informatics Meets eHealth, Vienna, Austria: IOS Press. https://doi.org/10.3233/978-1-61499-759-7-356","short":"S. Sauermann, V. David, A. Schlögl, R. Egelkraut, M. Frohner, B. Pohn, P. Urbauer, A. Mense, in:, IOS Press, 2017, pp. 356–362.","ista":"Sauermann S, David V, Schlögl A, Egelkraut R, Frohner M, Pohn B, Urbauer P, Mense A. 2017. Biosignals standards and FHIR: The way to go. eHealth: Health Informatics Meets eHealth, Studies in Health Technology and Informatics, vol. 236, 356–362.","chicago":"Sauermann, Stefan, Veronika David, Alois Schlögl, Reinhard Egelkraut, Matthias Frohner, Birgit Pohn, Philipp Urbauer, and Alexander Mense. “Biosignals Standards and FHIR: The Way to Go,” 236:356–62. IOS Press, 2017. https://doi.org/10.3233/978-1-61499-759-7-356.","ieee":"S. Sauermann et al., “Biosignals standards and FHIR: The way to go,” presented at the eHealth: Health Informatics Meets eHealth, Vienna, Austria, 2017, vol. 236, pp. 356–362.","ama":"Sauermann S, David V, Schlögl A, et al. Biosignals standards and FHIR: The way to go. In: Vol 236. IOS Press; 2017:356-362. doi:10.3233/978-1-61499-759-7-356"},"has_accepted_license":"1","file_date_updated":"2020-07-14T12:47:27Z","tmp":{"image":"/images/cc_by_nc.png","short":"CC BY-NC (4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc/4.0/legalcode","name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)"},"date_published":"2017-01-01T00:00:00Z","external_id":{"isi":["000426828000047"]},"doi":"10.3233/978-1-61499-759-7-356","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","alternative_title":["Studies in Health Technology and Informatics"],"day":"01","license":"https://creativecommons.org/licenses/by-nc/4.0/","status":"public","month":"01","ddc":["005"],"isi":1,"author":[{"last_name":"Sauermann","first_name":"Stefan","full_name":"Sauermann, Stefan"},{"first_name":"Veronika","full_name":"David, Veronika","last_name":"David"},{"last_name":"Schlögl","full_name":"Schlögl, Alois","orcid":"0000-0002-5621-8100","id":"45BF87EE-F248-11E8-B48F-1D18A9856A87","first_name":"Alois"},{"last_name":"Egelkraut","full_name":"Egelkraut, Reinhard","first_name":"Reinhard"},{"last_name":"Frohner","full_name":"Frohner, Matthias","first_name":"Matthias"},{"last_name":"Pohn","full_name":"Pohn, Birgit","first_name":"Birgit"},{"full_name":"Urbauer, Philipp","first_name":"Philipp","last_name":"Urbauer"},{"first_name":"Alexander","full_name":"Mense, Alexander","last_name":"Mense"}],"quality_controlled":"1"},{"ec_funded":1,"scopus_import":"1","citation":{"ama":"Strüber M, Sauer J, Jonas PM, Bartos M. Distance-dependent inhibition facilitates focality of gamma oscillations in the dentate gyrus. Nature Communications. 2017;8(1). doi:10.1038/s41467-017-00936-3","ieee":"M. Strüber, J. Sauer, P. M. Jonas, and M. Bartos, “Distance-dependent inhibition facilitates focality of gamma oscillations in the dentate gyrus,” Nature Communications, vol. 8, no. 1. Nature Publishing Group, 2017.","chicago":"Strüber, Michael, Jonas Sauer, Peter M Jonas, and Marlene Bartos. “Distance-Dependent Inhibition Facilitates Focality of Gamma Oscillations in the Dentate Gyrus.” Nature Communications. Nature Publishing Group, 2017. https://doi.org/10.1038/s41467-017-00936-3.","ista":"Strüber M, Sauer J, Jonas PM, Bartos M. 2017. Distance-dependent inhibition facilitates focality of gamma oscillations in the dentate gyrus. Nature Communications. 8(1), 758.","apa":"Strüber, M., Sauer, J., Jonas, P. M., & Bartos, M. (2017). Distance-dependent inhibition facilitates focality of gamma oscillations in the dentate gyrus. Nature Communications. Nature Publishing Group. https://doi.org/10.1038/s41467-017-00936-3","short":"M. Strüber, J. Sauer, P.M. Jonas, M. Bartos, Nature Communications 8 (2017).","mla":"Strüber, Michael, et al. “Distance-Dependent Inhibition Facilitates Focality of Gamma Oscillations in the Dentate Gyrus.” Nature Communications, vol. 8, no. 1, 758, Nature Publishing Group, 2017, doi:10.1038/s41467-017-00936-3."},"date_published":"2017-10-02T00:00:00Z","tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"has_accepted_license":"1","file_date_updated":"2020-07-14T12:48:07Z","external_id":{"isi":["000412053100004"]},"doi":"10.1038/s41467-017-00936-3","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","day":"02","author":[{"first_name":"Michael","full_name":"Strüber, Michael","last_name":"Strüber"},{"first_name":"Jonas","full_name":"Sauer, Jonas","last_name":"Sauer"},{"first_name":"Peter M","full_name":"Jonas, Peter M","orcid":"0000-0001-5001-4804","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","last_name":"Jonas"},{"first_name":"Marlene","full_name":"Bartos, Marlene","last_name":"Bartos"}],"status":"public","month":"10","ddc":["571"],"isi":1,"issue":"1","publication":"Nature Communications","quality_controlled":"1","intvolume":" 8","date_updated":"2025-07-10T11:54:59Z","file":[{"date_created":"2018-12-12T10:15:17Z","file_size":4261832,"file_id":"5135","checksum":"7e2c7621afd5f802338e92e8619f024d","content_type":"application/pdf","creator":"system","date_updated":"2020-07-14T12:48:07Z","relation":"main_file","access_level":"open_access","file_name":"IST-2017-914-v1+1_s41467-017-00936-3.pdf"}],"pubrep_id":"914","abstract":[{"lang":"eng","text":"Gamma oscillations (30–150 Hz) in neuronal networks are associated with the processing and recall of information. We measured local field potentials in the dentate gyrus of freely moving mice and found that gamma activity occurs in bursts, which are highly heterogeneous in their spatial extensions, ranging from focal to global coherent events. Synaptic communication among perisomatic-inhibitory interneurons (PIIs) is thought to play an important role in the generation of hippocampal gamma patterns. However, how neuronal circuits can generate synchronous oscillations at different spatial scales is unknown. We analyzed paired recordings in dentate gyrus slices and show that synaptic signaling at interneuron-interneuron synapses is distance dependent. Synaptic strength declines whereas the duration of inhibitory signals increases with axonal distance among interconnected PIIs. Using neuronal network modeling, we show that distance-dependent inhibition generates multiple highly synchronous focal gamma bursts allowing the network to process complex inputs in parallel in flexibly organized neuronal centers."}],"article_number":"758","volume":8,"type":"journal_article","publisher":"Nature Publishing Group","language":[{"iso":"eng"}],"year":"2017","project":[{"grant_number":"268548","call_identifier":"FP7","name":"Nanophysiology of fast-spiking, parvalbumin-expressing GABAergic interneurons","_id":"25C0F108-B435-11E9-9278-68D0E5697425"}],"publist_id":"6853","article_processing_charge":"No","oa":1,"fulldoi":"https://doi.org/10.1038/s41467-017-00936-3","oa_version":"Published Version","publication_status":"published","publication_identifier":{"issn":["2041-1723"]},"date_created":"2018-12-11T11:48:34Z","department":[{"_id":"PeJo"}],"_id":"800","title":"Distance-dependent inhibition facilitates focality of gamma oscillations in the dentate gyrus"},{"citation":{"ieee":"X. Geng et al., “Roles of afadin in functional differentiations of hippocampal mossy fiber synapse,” Genes to Cells, vol. 22, no. 8. Wiley-Blackwell, pp. 715–722, 2017.","ama":"Geng X, Maruo T, Mandai K, et al. Roles of afadin in functional differentiations of hippocampal mossy fiber synapse. Genes to Cells. 2017;22(8):715-722. doi:10.1111/gtc.12508","mla":"Geng, Xiaoqi, et al. “Roles of Afadin in Functional Differentiations of Hippocampal Mossy Fiber Synapse.” Genes to Cells, vol. 22, no. 8, Wiley-Blackwell, 2017, pp. 715–22, doi:10.1111/gtc.12508.","ista":"Geng X, Maruo T, Mandai K, Supriyanto I, Miyata M, Sakakibara S, Mizoguchi A, Takai Y, Mori M. 2017. Roles of afadin in functional differentiations of hippocampal mossy fiber synapse. Genes to Cells. 22(8), 715–722.","short":"X. Geng, T. Maruo, K. Mandai, I. Supriyanto, M. Miyata, S. Sakakibara, A. Mizoguchi, Y. Takai, M. Mori, Genes to Cells 22 (2017) 715–722.","apa":"Geng, X., Maruo, T., Mandai, K., Supriyanto, I., Miyata, M., Sakakibara, S., … Mori, M. (2017). Roles of afadin in functional differentiations of hippocampal mossy fiber synapse. Genes to Cells. Wiley-Blackwell. https://doi.org/10.1111/gtc.12508","chicago":"Geng, Xiaoqi, Tomohiko Maruo, Kenji Mandai, Irwan Supriyanto, Muneaki Miyata, Shotaro Sakakibara, Akira Mizoguchi, Yoshimi Takai, and Masahiro Mori. “Roles of Afadin in Functional Differentiations of Hippocampal Mossy Fiber Synapse.” Genes to Cells. Wiley-Blackwell, 2017. https://doi.org/10.1111/gtc.12508."},"scopus_import":"1","external_id":{"isi":["000409224300003"]},"date_published":"2017-08-01T00:00:00Z","day":"01","doi":"10.1111/gtc.12508","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","publication":"Genes to Cells","quality_controlled":"1","author":[{"first_name":"Xiaoqi","full_name":"Geng, Xiaoqi","id":"3395256A-F248-11E8-B48F-1D18A9856A87","last_name":"Geng"},{"full_name":"Maruo, Tomohiko","first_name":"Tomohiko","last_name":"Maruo"},{"first_name":"Kenji","full_name":"Mandai, Kenji","last_name":"Mandai"},{"full_name":"Supriyanto, Irwan","first_name":"Irwan","last_name":"Supriyanto"},{"last_name":"Miyata","first_name":"Muneaki","full_name":"Miyata, Muneaki"},{"first_name":"Shotaro","full_name":"Sakakibara, Shotaro","last_name":"Sakakibara"},{"full_name":"Mizoguchi, Akira","first_name":"Akira","last_name":"Mizoguchi"},{"last_name":"Takai","first_name":"Yoshimi","full_name":"Takai, Yoshimi"},{"full_name":"Mori, Masahiro","first_name":"Masahiro","last_name":"Mori"}],"isi":1,"status":"public","month":"08","issue":"8","abstract":[{"text":"A hippocampal mossy fiber synapse has a complex structure and is implicated in learning and memory. In this synapse, the mossy fiber boutons attach to the dendritic shaft by puncta adherentia junctions and wrap around a multiply-branched spine, forming synaptic junctions. We have recently shown using transmission electron microscopy, immunoelectron microscopy and serial block face-scanning electron microscopy that atypical puncta adherentia junctions are formed in the afadin-deficient mossy fiber synapse and that the complexity of postsynaptic spines and mossy fiber boutons, the number of spine heads, the area of postsynaptic densities and the density of synaptic vesicles docked to active zones are decreased in the afadin-deficient synapse. We investigated here the roles of afadin in the functional differentiations of the mossy fiber synapse using the afadin-deficient mice. The electrophysiological studies showed that both the release probability of glutamate and the postsynaptic responsiveness to glutamate were markedly reduced, but not completely lost, in the afadin-deficient mossy fiber synapse, whereas neither long-term potentiation nor long-term depression was affected. These results indicate that afadin plays roles in the functional differentiations of the presynapse and the postsynapse of the hippocampal mossy fiber synapse.","lang":"eng"}],"page":"715 - 722","volume":22,"intvolume":" 22","date_updated":"2025-09-10T11:06:14Z","publist_id":"6987","type":"journal_article","publisher":"Wiley-Blackwell","language":[{"iso":"eng"}],"year":"2017","fulldoi":"https://doi.org/10.1111/gtc.12508","oa_version":"None","publication_status":"published","article_processing_charge":"No","department":[{"_id":"PeJo"}],"_id":"706","title":"Roles of afadin in functional differentiations of hippocampal mossy fiber synapse","publication_identifier":{"issn":["1356-9597"]},"date_created":"2018-12-11T11:48:02Z"},{"date_created":"2018-12-11T11:48:18Z","publication_identifier":{"issn":["2211-1247"]},"title":"Triple function of Synaptotagmin 7 ensures efficiency of high-frequency transmission at central GABAergic synapses","_id":"749","department":[{"_id":"PeJo"}],"oa":1,"article_processing_charge":"No","publication_status":"published","oa_version":"Published Version","fulldoi":"https://doi.org/10.1016/j.celrep.2017.10.122","project":[{"name":"Mechanisms of transmitter release at GABAergic synapses","_id":"25C26B1E-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","grant_number":"P24909-B24"},{"_id":"25B7EB9E-B435-11E9-9278-68D0E5697425","name":"Biophysics and circuit function of a giant cortical glutamatergic synapse","call_identifier":"H2020","grant_number":"692692"}],"year":"2017","language":[{"iso":"eng"}],"publisher":"Cell Press","type":"journal_article","publist_id":"6907","file":[{"access_level":"open_access","file_name":"IST-2017-874-v1+1_PIIS2211124717316029.pdf","date_updated":"2020-07-14T12:47:59Z","relation":"main_file","creator":"system","content_type":"application/pdf","checksum":"a6afa3764909bf6edafa07982d8e1cee","file_id":"4737","file_size":2759195,"date_created":"2018-12-12T10:09:14Z"}],"acknowledged_ssus":[{"_id":"PreCl"}],"date_updated":"2026-04-08T14:09:28Z","intvolume":" 21","volume":21,"page":"2082 - 2089","pubrep_id":"874","abstract":[{"lang":"eng","text":"Synaptotagmin 7 (Syt7) is thought to be a Ca2+ sensor that mediates asynchronous transmitter release and facilitation at synapses. However, Syt7 is strongly expressed in fast-spiking, parvalbumin-expressing GABAergic interneurons, and the output synapses of these neurons produce only minimal asynchronous release and show depression rather than facilitation. To resolve this apparent contradiction, we examined the effects of genetic elimination of Syt7 on synaptic transmission at the GABAergic basket cell (BC)-Purkinje cell (PC) synapse in cerebellum. Our results indicate that at the BC-PC synapse, Syt7 contributes to asynchronous release, pool replenishment, and facilitation. In combination, these three effects ensure efficient transmitter release during high-frequency activity and guarantee frequency independence of inhibition. Our results identify a distinct function of Syt7: ensuring the efficiency of high-frequency inhibitory synaptic transmission"}],"issue":"8","isi":1,"status":"public","month":"11","ddc":["570","571"],"author":[{"full_name":"Chen, Chong","id":"3DFD581A-F248-11E8-B48F-1D18A9856A87","first_name":"Chong","last_name":"Chen"},{"full_name":"Satterfield, Rachel","first_name":"Rachel","last_name":"Satterfield"},{"first_name":"Samuel","full_name":"Young, Samuel","last_name":"Young"},{"last_name":"Jonas","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-5001-4804","full_name":"Jonas, Peter M","first_name":"Peter M"}],"quality_controlled":"1","related_material":{"record":[{"id":"324","status":"public","relation":"dissertation_contains"}]},"publication":"Cell Reports","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","doi":"10.1016/j.celrep.2017.10.122","day":"21","file_date_updated":"2020-07-14T12:47:59Z","has_accepted_license":"1","tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"date_published":"2017-11-21T00:00:00Z","external_id":{"isi":["000416216700007"]},"corr_author":"1","scopus_import":"1","ec_funded":1,"citation":{"chicago":"Chen, Chong, Rachel Satterfield, Samuel Young, and Peter M Jonas. “Triple Function of Synaptotagmin 7 Ensures Efficiency of High-Frequency Transmission at Central GABAergic Synapses.” Cell Reports. Cell Press, 2017. https://doi.org/10.1016/j.celrep.2017.10.122.","short":"C. Chen, R. Satterfield, S. Young, P.M. Jonas, Cell Reports 21 (2017) 2082–2089.","ista":"Chen C, Satterfield R, Young S, Jonas PM. 2017. Triple function of Synaptotagmin 7 ensures efficiency of high-frequency transmission at central GABAergic synapses. Cell Reports. 21(8), 2082–2089.","apa":"Chen, C., Satterfield, R., Young, S., & Jonas, P. M. (2017). Triple function of Synaptotagmin 7 ensures efficiency of high-frequency transmission at central GABAergic synapses. Cell Reports. Cell Press. https://doi.org/10.1016/j.celrep.2017.10.122","mla":"Chen, Chong, et al. “Triple Function of Synaptotagmin 7 Ensures Efficiency of High-Frequency Transmission at Central GABAergic Synapses.” Cell Reports, vol. 21, no. 8, Cell Press, 2017, pp. 2082–89, doi:10.1016/j.celrep.2017.10.122.","ieee":"C. Chen, R. Satterfield, S. Young, and P. M. Jonas, “Triple function of Synaptotagmin 7 ensures efficiency of high-frequency transmission at central GABAergic synapses,” Cell Reports, vol. 21, no. 8. Cell Press, pp. 2082–2089, 2017.","ama":"Chen C, Satterfield R, Young S, Jonas PM. Triple function of Synaptotagmin 7 ensures efficiency of high-frequency transmission at central GABAergic synapses. Cell Reports. 2017;21(8):2082-2089. doi:10.1016/j.celrep.2017.10.122"}},{"user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","doi":"10.1016/j.neuron.2017.05.011","day":"17","issue":"4","author":[{"last_name":"Chen","first_name":"Chong","id":"3DFD581A-F248-11E8-B48F-1D18A9856A87","full_name":"Chen, Chong"},{"last_name":"Jonas","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","full_name":"Jonas, Peter M","orcid":"0000-0001-5001-4804","first_name":"Peter M"}],"status":"public","month":"05","isi":1,"quality_controlled":"1","publication":"Neuron","scopus_import":"1","citation":{"ama":"Chen C, Jonas PM. Synaptotagmins: That’s why so many. Neuron. 2017;94(4):694-696. doi:10.1016/j.neuron.2017.05.011","ieee":"C. Chen and P. M. Jonas, “Synaptotagmins: That’s why so many,” Neuron, vol. 94, no. 4. Elsevier, pp. 694–696, 2017.","mla":"Chen, Chong, and Peter M. Jonas. “Synaptotagmins: That’s Why so Many.” Neuron, vol. 94, no. 4, Elsevier, 2017, pp. 694–96, doi:10.1016/j.neuron.2017.05.011.","ista":"Chen C, Jonas PM. 2017. Synaptotagmins: That’s why so many. Neuron. 94(4), 694–696.","short":"C. Chen, P.M. Jonas, Neuron 94 (2017) 694–696.","apa":"Chen, C., & Jonas, P. M. (2017). Synaptotagmins: That’s why so many. Neuron. Elsevier. https://doi.org/10.1016/j.neuron.2017.05.011","chicago":"Chen, Chong, and Peter M Jonas. “Synaptotagmins: That’s Why so Many.” Neuron. Elsevier, 2017. https://doi.org/10.1016/j.neuron.2017.05.011."},"date_published":"2017-05-17T00:00:00Z","external_id":{"isi":["000401415100002"]},"article_processing_charge":"No","publication_status":"published","fulldoi":"https://doi.org/10.1016/j.neuron.2017.05.011","oa_version":"None","date_created":"2018-12-11T11:49:34Z","publication_identifier":{"issn":["0896-6273"]},"_id":"991","title":"Synaptotagmins: That’s why so many","department":[{"_id":"PeJo"}],"intvolume":" 94","date_updated":"2026-04-16T10:05:51Z","page":"694 - 696","volume":94,"abstract":[{"lang":"eng","text":"Synaptotagmin 7 (Syt7) was originally identified as a slow Ca2+ sensor for lysosome fusion, but its function at fast synapses is controversial. The paper by Luo and Südhof (2017) in this issue of Neuron shows that at the calyx of Held in the auditory brainstem Syt7 triggers asynchronous release during stimulus trains, resulting in reliable and temporally precise high-frequency transmission. Thus, a slow Ca2+ sensor contributes to the fast signaling properties of the calyx synapse."}],"language":[{"iso":"eng"}],"year":"2017","type":"journal_article","publisher":"Elsevier","publist_id":"6408"},{"acknowledgement":"Y. Fukui (Medical Institute of Bioregulation, Kyushu University) and J. Stein (Theodor Kocher Institute, University of Bern) are acknowledged for providing the DOCK8 deficient bone marrow. and H. Häcker (St. Judes Children's Research Hospital) for providing the ERHBD-HoxB8-encoding retroviral construct. pSpCas9(BB)-2a-Puro (PX459) was a gift from F. Zhang (Massachusetts Institute of Technology) (Addgene plasmid # 48139) and pGRG36 was a gift from N. Craig (Johns Hopkins University School of Medicine) (Addgene plasmid # 16666). LifeAct-GFP-encoding retrovirus was kindly provided by A. Leithner (Institute of Science and Technology Austria). pSIM8 and TKC E. coli were gifts from D.L. Court (Center for Cancer Research, National Cancer Institute). We acknowledge M. Gröger and S. Rauscher for excellent technical support (Core imaging facility, Medical University of Vienna). We thank D.P. Barlow and L.R. Cheever for critical reading of the manuscript. This work was supported by the Austrian Academy of Sciences, the Science Fund of the Austrian National Bank (14107) and the Austrian Science Fund FWF (I1620-B22) in the Infect-ERA framework (to S.Knapp).","date_published":"2016-12-01T00:00:00Z","external_id":{"isi":["000388056400006"]},"scopus_import":"1","citation":{"ama":"Martins R, Maier J, Gorki A, et al. Heme drives hemolysis-induced susceptibility to infection via disruption of phagocyte functions. Nature Immunology. 2016;17(12):1361-1372. doi:10.1038/ni.3590","ieee":"R. Martins et al., “Heme drives hemolysis-induced susceptibility to infection via disruption of phagocyte functions,” Nature Immunology, vol. 17, no. 12. Nature Publishing Group, pp. 1361–1372, 2016.","chicago":"Martins, Rui, Julia Maier, Anna Gorki, Kilian Huber, Omar Sharif, Philipp Starkl, Simona Saluzzo, et al. “Heme Drives Hemolysis-Induced Susceptibility to Infection via Disruption of Phagocyte Functions.” Nature Immunology. Nature Publishing Group, 2016. https://doi.org/10.1038/ni.3590.","ista":"Martins R, Maier J, Gorki A, Huber K, Sharif O, Starkl P, Saluzzo S, Quattrone F, Gawish R, Lakovits K, Aichinger M, Radic Sarikas B, Lardeau C, Hladik A, Korosec A, Brown M, Vaahtomeri K, Duggan M, Kerjaschki D, Esterbauer H, Colinge J, Eisenbarth S, Decker T, Bennett K, Kubicek S, Sixt MK, Superti Furga G, Knapp S. 2016. Heme drives hemolysis-induced susceptibility to infection via disruption of phagocyte functions. Nature Immunology. 17(12), 1361–1372.","short":"R. Martins, J. Maier, A. Gorki, K. Huber, O. Sharif, P. Starkl, S. Saluzzo, F. Quattrone, R. Gawish, K. Lakovits, M. Aichinger, B. Radic Sarikas, C. Lardeau, A. Hladik, A. Korosec, M. Brown, K. Vaahtomeri, M. Duggan, D. Kerjaschki, H. Esterbauer, J. Colinge, S. Eisenbarth, T. Decker, K. Bennett, S. Kubicek, M.K. Sixt, G. Superti Furga, S. Knapp, Nature Immunology 17 (2016) 1361–1372.","apa":"Martins, R., Maier, J., Gorki, A., Huber, K., Sharif, O., Starkl, P., … Knapp, S. (2016). Heme drives hemolysis-induced susceptibility to infection via disruption of phagocyte functions. Nature Immunology. Nature Publishing Group. https://doi.org/10.1038/ni.3590","mla":"Martins, Rui, et al. “Heme Drives Hemolysis-Induced Susceptibility to Infection via Disruption of Phagocyte Functions.” Nature Immunology, vol. 17, no. 12, Nature Publishing Group, 2016, pp. 1361–72, doi:10.1038/ni.3590."},"issue":"12","main_file_link":[{"url":"https://ora.ox.ac.uk/objects/uuid:f53a464e-1e5b-4f08-a7d8-b6749b852b9d","open_access":"1"}],"month":"12","isi":1,"status":"public","author":[{"full_name":"Martins, Rui","first_name":"Rui","last_name":"Martins"},{"last_name":"Maier","full_name":"Maier, Julia","first_name":"Julia"},{"full_name":"Gorki, Anna","first_name":"Anna","last_name":"Gorki"},{"full_name":"Huber, Kilian","first_name":"Kilian","last_name":"Huber"},{"first_name":"Omar","full_name":"Sharif, Omar","last_name":"Sharif"},{"full_name":"Starkl, Philipp","first_name":"Philipp","last_name":"Starkl"},{"full_name":"Saluzzo, Simona","first_name":"Simona","last_name":"Saluzzo"},{"last_name":"Quattrone","full_name":"Quattrone, Federica","first_name":"Federica"},{"first_name":"Riem","full_name":"Gawish, Riem","last_name":"Gawish"},{"last_name":"Lakovits","full_name":"Lakovits, Karin","first_name":"Karin"},{"first_name":"Michael","full_name":"Aichinger, Michael","last_name":"Aichinger"},{"first_name":"Branka","full_name":"Radic Sarikas, Branka","last_name":"Radic Sarikas"},{"first_name":"Charles","full_name":"Lardeau, Charles","last_name":"Lardeau"},{"full_name":"Hladik, Anastasiya","first_name":"Anastasiya","last_name":"Hladik"},{"last_name":"Korosec","first_name":"Ana","full_name":"Korosec, Ana"},{"last_name":"Brown","first_name":"Markus","id":"3DAB9AFC-F248-11E8-B48F-1D18A9856A87","full_name":"Brown, Markus"},{"last_name":"Vaahtomeri","first_name":"Kari","orcid":"0000-0001-7829-3518","full_name":"Vaahtomeri, Kari","id":"368EE576-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Duggan","full_name":"Duggan, Michelle","id":"2EDEA62C-F248-11E8-B48F-1D18A9856A87","first_name":"Michelle"},{"last_name":"Kerjaschki","full_name":"Kerjaschki, Dontscho","first_name":"Dontscho"},{"last_name":"Esterbauer","first_name":"Harald","full_name":"Esterbauer, Harald"},{"last_name":"Colinge","full_name":"Colinge, Jacques","first_name":"Jacques"},{"last_name":"Eisenbarth","first_name":"Stephanie","full_name":"Eisenbarth, Stephanie"},{"last_name":"Decker","full_name":"Decker, Thomas","first_name":"Thomas"},{"full_name":"Bennett, Keiryn","first_name":"Keiryn","last_name":"Bennett"},{"first_name":"Stefan","full_name":"Kubicek, Stefan","last_name":"Kubicek"},{"orcid":"0000-0002-6620-9179","full_name":"Sixt, Michael K","id":"41E9FBEA-F248-11E8-B48F-1D18A9856A87","first_name":"Michael K","last_name":"Sixt"},{"full_name":"Superti Furga, Giulio","first_name":"Giulio","last_name":"Superti Furga"},{"full_name":"Knapp, Sylvia","first_name":"Sylvia","last_name":"Knapp"}],"quality_controlled":"1","publication":"Nature Immunology","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","doi":"10.1038/ni.3590","day":"01","year":"2016","language":[{"iso":"eng"}],"publisher":"Nature Publishing Group","type":"journal_article","publist_id":"6216","date_updated":"2025-09-22T14:10:50Z","intvolume":" 17","volume":17,"page":"1361 - 1372","abstract":[{"text":"Hemolysis drives susceptibility to bacterial infections and predicts poor outcome from sepsis. These detrimental effects are commonly considered to be a consequence of heme-iron serving as a nutrient for bacteria. We employed a Gram-negative sepsis model and found that elevated heme levels impaired the control of bacterial proliferation independently of heme-iron acquisition by pathogens. Heme strongly inhibited phagocytosis and the migration of human and mouse phagocytes by disrupting actin cytoskeletal dynamics via activation of the GTP-binding Rho family protein Cdc42 by the guanine nucleotide exchange factor DOCK8. A chemical screening approach revealed that quinine effectively prevented heme effects on the cytoskeleton, restored phagocytosis and improved survival in sepsis. These mechanistic insights provide potential therapeutic targets for patients with sepsis or hemolytic disorders.","lang":"eng"}],"date_created":"2018-12-11T11:50:22Z","title":"Heme drives hemolysis-induced susceptibility to infection via disruption of phagocyte functions","_id":"1142","department":[{"_id":"MiSi"},{"_id":"PeJo"}],"oa":1,"article_processing_charge":"No","publication_status":"published","oa_version":"Submitted Version","fulldoi":"https://doi.org/10.1038/ni.3590"},{"month":"02","status":"public","ddc":["000"],"author":[{"first_name":"Alois","id":"45BF87EE-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-5621-8100","full_name":"Schlögl, Alois","last_name":"Schlögl"},{"first_name":"Stephan","full_name":"Stadlbauer, Stephan","id":"4D0BC184-F248-11E8-B48F-1D18A9856A87","last_name":"Stadlbauer"}],"date_created":"2023-05-05T12:54:47Z","main_file_link":[{"url":"https://vsc.ac.at/fileadmin/user_upload/vsc/conferences/ahpc16/BOOKLET_AHPC16.pdf","open_access":"1"}],"department":[{"_id":"ScienComp"},{"_id":"PeJo"}],"publication":"AHPC16 - Austrian HPC Meeting 2016","title":"High performance computing at IST Austria: Modelling the human hippocampus","_id":"12903","quality_controlled":"1","article_processing_charge":"No","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","oa":1,"day":"24","oa_version":"Published Version","publication_status":"published","publisher":"VSC - Vienna Scientific Cluster","date_published":"2016-02-24T00:00:00Z","type":"conference_abstract","year":"2016","has_accepted_license":"1","file_date_updated":"2023-05-16T07:03:56Z","language":[{"iso":"eng"}],"corr_author":"1","date_updated":"2024-10-09T21:05:23Z","conference":{"name":"AHPC: Austrian HPC Meeting","end_date":"2016-02-24","start_date":"2016-02-22","location":"Grundlsee, Austria"},"file":[{"creator":"dernst","content_type":"application/pdf","checksum":"4a7b00362e81358d568f5e216fa03c3e","file_id":"12968","access_level":"open_access","file_name":"2016_AHPC_Schloegl.pdf","relation":"main_file","date_updated":"2023-05-16T07:03:56Z","success":1,"file_size":1073523,"date_created":"2023-05-16T07:03:56Z"}],"citation":{"ama":"Schlögl A, Stadlbauer S. High performance computing at IST Austria: Modelling the human hippocampus. In: AHPC16 - Austrian HPC Meeting 2016. VSC - Vienna Scientific Cluster; 2016:37.","ieee":"A. Schlögl and S. Stadlbauer, “High performance computing at IST Austria: Modelling the human hippocampus,” in AHPC16 - Austrian HPC Meeting 2016, Grundlsee, Austria, 2016, p. 37.","chicago":"Schlögl, Alois, and Stephan Stadlbauer. “High Performance Computing at IST Austria: Modelling the Human Hippocampus.” In AHPC16 - Austrian HPC Meeting 2016, 37. VSC - Vienna Scientific Cluster, 2016.","ista":"Schlögl A, Stadlbauer S. 2016. High performance computing at IST Austria: Modelling the human hippocampus. AHPC16 - Austrian HPC Meeting 2016. AHPC: Austrian HPC Meeting, 37.","short":"A. Schlögl, S. Stadlbauer, in:, AHPC16 - Austrian HPC Meeting 2016, VSC - Vienna Scientific Cluster, 2016, p. 37.","apa":"Schlögl, A., & Stadlbauer, S. (2016). High performance computing at IST Austria: Modelling the human hippocampus. In AHPC16 - Austrian HPC Meeting 2016 (p. 37). Grundlsee, Austria: VSC - Vienna Scientific Cluster.","mla":"Schlögl, Alois, and Stephan Stadlbauer. “High Performance Computing at IST Austria: Modelling the Human Hippocampus.” AHPC16 - Austrian HPC Meeting 2016, VSC - Vienna Scientific Cluster, 2016, p. 37."},"page":"37"},{"corr_author":"1","external_id":{"isi":["000387034600001"]},"date_published":"2016-10-25T00:00:00Z","tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"file_date_updated":"2020-07-14T12:44:44Z","has_accepted_license":"1","citation":{"chicago":"Vyleta, Nicholas, Carolina Borges Merjane, and Peter M Jonas. “Plasticity-Dependent, Full Detonation at Hippocampal Mossy Fiber–CA3 Pyramidal Neuron Synapses.” ELife. eLife Sciences Publications, 2016. https://doi.org/10.7554/eLife.17977.","ista":"Vyleta N, Borges Merjane C, Jonas PM. 2016. Plasticity-dependent, full detonation at hippocampal mossy fiber–CA3 pyramidal neuron synapses. eLife. 5, e17977.","apa":"Vyleta, N., Borges Merjane, C., & Jonas, P. M. (2016). Plasticity-dependent, full detonation at hippocampal mossy fiber–CA3 pyramidal neuron synapses. ELife. eLife Sciences Publications. https://doi.org/10.7554/eLife.17977","short":"N. Vyleta, C. Borges Merjane, P.M. Jonas, ELife 5 (2016).","mla":"Vyleta, Nicholas, et al. “Plasticity-Dependent, Full Detonation at Hippocampal Mossy Fiber–CA3 Pyramidal Neuron Synapses.” ELife, vol. 5, e17977, eLife Sciences Publications, 2016, doi:10.7554/eLife.17977.","ieee":"N. Vyleta, C. Borges Merjane, and P. M. Jonas, “Plasticity-dependent, full detonation at hippocampal mossy fiber–CA3 pyramidal neuron synapses,” eLife, vol. 5. eLife Sciences Publications, 2016.","ama":"Vyleta N, Borges Merjane C, Jonas PM. Plasticity-dependent, full detonation at hippocampal mossy fiber–CA3 pyramidal neuron synapses. eLife. 2016;5. doi:10.7554/eLife.17977"},"ec_funded":1,"scopus_import":"1","publication":"eLife","quality_controlled":"1","author":[{"full_name":"Vyleta, Nicholas","id":"36C4978E-F248-11E8-B48F-1D18A9856A87","first_name":"Nicholas","last_name":"Vyleta"},{"last_name":"Borges Merjane","first_name":"Carolina","id":"4305C450-F248-11E8-B48F-1D18A9856A87","full_name":"Borges Merjane, Carolina","orcid":"0000-0003-0005-401X"},{"last_name":"Jonas","first_name":"Peter M","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","full_name":"Jonas, Peter M","orcid":"0000-0001-5001-4804"}],"status":"public","isi":1,"month":"10","ddc":["571","572"],"day":"25","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","doi":"10.7554/eLife.17977","publist_id":"5947","type":"journal_article","publisher":"eLife Sciences Publications","language":[{"iso":"eng"}],"project":[{"call_identifier":"FP7","_id":"25C0F108-B435-11E9-9278-68D0E5697425","name":"Nanophysiology of fast-spiking, parvalbumin-expressing GABAergic interneurons","grant_number":"268548"},{"call_identifier":"H2020","_id":"25B7EB9E-B435-11E9-9278-68D0E5697425","name":"Biophysics and circuit function of a giant cortical glutamatergic synapse","grant_number":"692692"}],"year":"2016","abstract":[{"lang":"eng","text":"Mossy fiber synapses on CA3 pyramidal cells are 'conditional detonators' that reliably discharge postsynaptic targets. The 'conditional' nature implies that burst activity in dentate gyrus granule cells is required for detonation. Whether single unitary excitatory postsynaptic potentials (EPSPs) trigger spikes in CA3 neurons remains unknown. Mossy fiber synapses exhibit both pronounced short-term facilitation and uniquely large post-tetanic potentiation (PTP). We tested whether PTP could convert mossy fiber synapses from subdetonator into detonator mode, using a recently developed method to selectively and noninvasively stimulate individual presynaptic terminals in rat brain slices. Unitary EPSPs failed to initiate a spike in CA3 neurons under control conditions, but reliably discharged them after induction of presynaptic short-term plasticity. Remarkably, PTP switched mossy fiber synapses into full detonators for tens of seconds. Plasticity-dependent detonation may be critical for efficient coding, storage, and recall of information in the granule cell–CA3 cell network."}],"pubrep_id":"715","article_number":"e17977","volume":5,"intvolume":" 5","date_updated":"2025-09-22T08:26:29Z","acknowledged_ssus":[{"_id":"M-Shop"},{"_id":"PreCl"}],"file":[{"date_created":"2018-12-12T10:17:05Z","file_size":1477891,"file_id":"5257","content_type":"application/pdf","checksum":"a7201280c571bed88ebd459ce5ce6a47","creator":"system","date_updated":"2020-07-14T12:44:44Z","relation":"main_file","access_level":"open_access","file_name":"IST-2016-715-v1+1_e17977-download.pdf"}],"department":[{"_id":"PeJo"}],"_id":"1323","title":"Plasticity-dependent, full detonation at hippocampal mossy fiber–CA3 pyramidal neuron synapses","date_created":"2018-12-11T11:51:22Z","fulldoi":"https://doi.org/10.7554/eLife.17977","oa_version":"Published Version","publication_status":"published","article_processing_charge":"No","oa":1},{"pubrep_id":"823","abstract":[{"lang":"eng","text":"The hippocampal CA3 region plays a key role in learning and memory. Recurrent CA3–CA3\r\nsynapses are thought to be the subcellular substrate of pattern completion. However, the\r\nsynaptic mechanisms of this network computation remain enigmatic. To investigate these mechanisms, we combined functional connectivity analysis with network modeling.\r\nSimultaneous recording fromup to eight CA3 pyramidal neurons revealed that connectivity was sparse, spatially uniform, and highly enriched in disynaptic motifs (reciprocal, convergence,divergence, and chain motifs). Unitary connections were composed of one or two synaptic contacts, suggesting efficient use of postsynaptic space. Real-size modeling indicated that CA3 networks with sparse connectivity, disynaptic motifs, and single-contact connections robustly generated pattern completion.Thus, macro- and microconnectivity contribute to efficient\r\nmemory storage and retrieval in hippocampal networks."}],"volume":353,"page":"1117 - 1123","date_updated":"2025-09-22T08:12:10Z","intvolume":" 353","file":[{"file_size":19408143,"date_created":"2018-12-12T10:12:27Z","creator":"system","file_id":"4945","content_type":"application/pdf","checksum":"89caefa4e181424cbf0aecc835fcc5ec","relation":"main_file","date_updated":"2020-07-14T12:44:46Z","access_level":"open_access","file_name":"IST-2017-823-v1+1_aaf1836_CombinedPDF_v2-1.pdf"}],"acknowledged_ssus":[{"_id":"ScienComp"}],"publist_id":"5899","publisher":"American Association for the Advancement of Science","type":"journal_article","project":[{"grant_number":"268548","_id":"25C0F108-B435-11E9-9278-68D0E5697425","name":"Nanophysiology of fast-spiking, parvalbumin-expressing GABAergic interneurons","call_identifier":"FP7"},{"call_identifier":"FWF","name":"Mechanisms of transmitter release at GABAergic synapses","_id":"25C26B1E-B435-11E9-9278-68D0E5697425","grant_number":"P24909-B24"}],"year":"2016","language":[{"iso":"eng"}],"oa_version":"Preprint","fulldoi":"https://doi.org/10.1126/science.aaf1836","publication_status":"published","article_processing_charge":"No","oa":1,"department":[{"_id":"ScienComp"},{"_id":"PeJo"}],"title":"Synaptic mechanisms of pattern completion in the hippocampal CA3 network","_id":"1350","date_created":"2018-12-11T11:51:31Z","citation":{"ama":"Guzmán J, Schlögl A, Frotscher M, Jonas PM. Synaptic mechanisms of pattern completion in the hippocampal CA3 network. Science. 2016;353(6304):1117-1123. doi:10.1126/science.aaf1836","ieee":"J. Guzmán, A. Schlögl, M. Frotscher, and P. M. Jonas, “Synaptic mechanisms of pattern completion in the hippocampal CA3 network,” Science, vol. 353, no. 6304. American Association for the Advancement of Science, pp. 1117–1123, 2016.","mla":"Guzmán, José, et al. “Synaptic Mechanisms of Pattern Completion in the Hippocampal CA3 Network.” Science, vol. 353, no. 6304, American Association for the Advancement of Science, 2016, pp. 1117–23, doi:10.1126/science.aaf1836.","ista":"Guzmán J, Schlögl A, Frotscher M, Jonas PM. 2016. Synaptic mechanisms of pattern completion in the hippocampal CA3 network. Science. 353(6304), 1117–1123.","apa":"Guzmán, J., Schlögl, A., Frotscher, M., & Jonas, P. M. (2016). Synaptic mechanisms of pattern completion in the hippocampal CA3 network. Science. American Association for the Advancement of Science. https://doi.org/10.1126/science.aaf1836","short":"J. Guzmán, A. Schlögl, M. Frotscher, P.M. Jonas, Science 353 (2016) 1117–1123.","chicago":"Guzmán, José, Alois Schlögl, Michael Frotscher, and Peter M Jonas. “Synaptic Mechanisms of Pattern Completion in the Hippocampal CA3 Network.” Science. American Association for the Advancement of Science, 2016. https://doi.org/10.1126/science.aaf1836."},"ec_funded":1,"scopus_import":"1","corr_author":"1","external_id":{"isi":["000382626800045"]},"date_published":"2016-09-09T00:00:00Z","has_accepted_license":"1","file_date_updated":"2020-07-14T12:44:46Z","day":"09","doi":"10.1126/science.aaf1836","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","publication":"Science","quality_controlled":"1","isi":1,"month":"09","status":"public","ddc":["570"],"author":[{"first_name":"José","orcid":"0000-0003-2209-5242","full_name":"Guzmán, José","id":"30CC5506-F248-11E8-B48F-1D18A9856A87","last_name":"Guzmán"},{"last_name":"Schlögl","first_name":"Alois","id":"45BF87EE-F248-11E8-B48F-1D18A9856A87","full_name":"Schlögl, Alois","orcid":"0000-0002-5621-8100"},{"first_name":"Michael","full_name":"Frotscher, Michael","last_name":"Frotscher"},{"last_name":"Jonas","first_name":"Peter M","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-5001-4804","full_name":"Jonas, Peter M"}],"issue":"6304"},{"pubrep_id":"580","abstract":[{"text":"ATP released from neurons and astrocytes during neuronal activity or under pathophysiological circumstances is able to influence information flow in neuronal circuits by activation of ionotropic P2X and metabotropic P2Y receptors and subsequent modulation of cellular excitability, synaptic strength, and plasticity. In the present paper we review cellular and network effects of P2Y receptors in the brain. We show that P2Y receptors inhibit the release of neurotransmitters, modulate voltage- and ligand-gated ion channels, and differentially influence the induction of synaptic plasticity in the prefrontal cortex, hippocampus, and cerebellum. The findings discussed here may explain how P2Y1 receptor activation during brain injury, hypoxia, inflammation, schizophrenia, or Alzheimer's disease leads to an impairment of cognitive processes. Hence, it is suggested that the blockade of P2Y1 receptors may have therapeutic potential against cognitive disturbances in these states.","lang":"eng"}],"article_number":"1207393","volume":2016,"intvolume":" 2016","date_updated":"2025-09-18T11:45:18Z","file":[{"content_type":"application/pdf","checksum":"8dc5c2f3d44d4775a6e7e3edb0d7a0da","file_id":"4740","creator":"system","access_level":"open_access","file_name":"IST-2016-580-v1+1_1207393.pdf","relation":"main_file","date_updated":"2020-07-14T12:44:54Z","date_created":"2018-12-12T10:09:17Z","file_size":1395180}],"publist_id":"5762","type":"journal_article","publisher":"Hindawi Publishing Corporation","language":[{"iso":"eng"}],"year":"2016","fulldoi":"https://doi.org/10.1155/2016/1207393","oa_version":"Published Version","publication_status":"published","article_processing_charge":"No","oa":1,"department":[{"_id":"PeJo"}],"_id":"1435","title":"P2Y receptors in synaptic transmission and plasticity: Therapeutic potential in cognitive dysfunction","date_created":"2018-12-11T11:52:00Z","citation":{"ieee":"J. Guzmán and Z. Gerevich, “P2Y receptors in synaptic transmission and plasticity: Therapeutic potential in cognitive dysfunction,” Neural Plasticity, vol. 2016. Hindawi Publishing Corporation, 2016.","ama":"Guzmán J, Gerevich Z. P2Y receptors in synaptic transmission and plasticity: Therapeutic potential in cognitive dysfunction. Neural Plasticity. 2016;2016. doi:10.1155/2016/1207393","chicago":"Guzmán, José, and Zoltan Gerevich. “P2Y Receptors in Synaptic Transmission and Plasticity: Therapeutic Potential in Cognitive Dysfunction.” Neural Plasticity. Hindawi Publishing Corporation, 2016. https://doi.org/10.1155/2016/1207393.","mla":"Guzmán, José, and Zoltan Gerevich. “P2Y Receptors in Synaptic Transmission and Plasticity: Therapeutic Potential in Cognitive Dysfunction.” Neural Plasticity, vol. 2016, 1207393, Hindawi Publishing Corporation, 2016, doi:10.1155/2016/1207393.","ista":"Guzmán J, Gerevich Z. 2016. P2Y receptors in synaptic transmission and plasticity: Therapeutic potential in cognitive dysfunction. Neural Plasticity. 2016, 1207393.","short":"J. Guzmán, Z. Gerevich, Neural Plasticity 2016 (2016).","apa":"Guzmán, J., & Gerevich, Z. (2016). P2Y receptors in synaptic transmission and plasticity: Therapeutic potential in cognitive dysfunction. Neural Plasticity. Hindawi Publishing Corporation. https://doi.org/10.1155/2016/1207393"},"scopus_import":"1","external_id":{"isi":["000374056200001"]},"date_published":"2016-01-01T00:00:00Z","tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"has_accepted_license":"1","file_date_updated":"2020-07-14T12:44:54Z","day":"01","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","doi":"10.1155/2016/1207393","publication":"Neural Plasticity","quality_controlled":"1","author":[{"last_name":"Guzmán","first_name":"José","id":"30CC5506-F248-11E8-B48F-1D18A9856A87","full_name":"Guzmán, José","orcid":"0000-0003-2209-5242"},{"last_name":"Gerevich","full_name":"Gerevich, Zoltan","first_name":"Zoltan"}],"status":"public","isi":1,"month":"01","ddc":["570"]}]