[{"article_number":"4605","project":[{"name":"Biophysics and circuit function of a giant cortical glumatergic synapse","grant_number":"692692","call_identifier":"H2020","_id":"25B7EB9E-B435-11E9-9278-68D0E5697425"},{"name":"The Wittgenstein Prize","grant_number":"Z00312","call_identifier":"FWF","_id":"25C5A090-B435-11E9-9278-68D0E5697425"}],"citation":{"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.","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.","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.","short":"C. Espinoza Martinez, J. Guzmán, X. Zhang, P.M. Jonas, Nature Communications 9 (2018).","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.","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","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"},"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","article_processing_charge":"No","external_id":{"isi":["000449069700009"]},"publist_id":"8034","author":[{"id":"31FFEE2E-F248-11E8-B48F-1D18A9856A87","first_name":"Claudia ","last_name":"Espinoza Martinez","orcid":"0000-0003-4710-2082","full_name":"Espinoza Martinez, Claudia "},{"first_name":"José","id":"30CC5506-F248-11E8-B48F-1D18A9856A87","full_name":"Guzmán, José","orcid":"0000-0003-2209-5242","last_name":"Guzmán"},{"id":"423EC9C2-F248-11E8-B48F-1D18A9856A87","first_name":"Xiaomin","last_name":"Zhang","full_name":"Zhang, Xiaomin"},{"orcid":"0000-0001-5001-4804","full_name":"Jonas, Peter M","last_name":"Jonas","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","first_name":"Peter M"}],"title":"Parvalbumin+ interneurons obey unique connectivity rules and establish a powerful lateral-inhibition microcircuit in dentate gyrus","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..","oa":1,"quality_controlled":"1","publisher":"Nature Publishing Group","year":"2018","has_accepted_license":"1","isi":1,"publication":"Nature Communications","day":"02","date_created":"2018-12-11T11:44:12Z","doi":"10.1038/s41467-018-06899-3","date_published":"2018-11-02T00:00:00Z","_id":"21","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"article_type":"original","type":"journal_article","status":"public","date_updated":"2024-03-27T23:30:31Z","ddc":["570"],"file_date_updated":"2020-07-14T12:45:28Z","department":[{"_id":"PeJo"}],"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"}],"oa_version":"Published Version","scopus_import":"1","intvolume":" 9","month":"11","publication_status":"published","language":[{"iso":"eng"}],"file":[{"relation":"main_file","access_level":"open_access","content_type":"application/pdf","checksum":"9fe2a63bd95a5067d896c087d07998f3","file_id":"5715","creator":"dernst","file_size":4651930,"date_updated":"2020-07-14T12:45:28Z","file_name":"2018_NatureComm_Espinoza.pdf","date_created":"2018-12-17T15:41:57Z"}],"ec_funded":1,"license":"https://creativecommons.org/licenses/by/4.0/","issue":"1","volume":9,"related_material":{"link":[{"url":"https://ist.ac.at/en/news/lateral-inhibition-keeps-similar-memories-apart/","relation":"press_release","description":"News on IST Homepage"}],"record":[{"id":"6363","status":"public","relation":"dissertation_contains"}]}},{"license":"https://creativecommons.org/licenses/by-nc/4.0/","volume":236,"publication_status":"published","publication_identifier":{"isbn":["978-161499758-0"]},"language":[{"iso":"eng"}],"file":[{"checksum":"1254dcc5b04a996d97fad9a726b42727","file_id":"4913","relation":"main_file","access_level":"open_access","content_type":"application/pdf","file_name":"IST-2017-906-v1+1_SHTI236-0356.pdf","date_created":"2018-12-12T10:11:56Z","creator":"system","file_size":443635,"date_updated":"2020-07-14T12:47:27Z"}],"scopus_import":1,"alternative_title":["Studies in Health Technology and Informatics"],"intvolume":" 236","month":"01","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."}],"oa_version":"Published Version","department":[{"_id":"ScienComp"},{"_id":"PeJo"}],"file_date_updated":"2020-07-14T12:47:27Z","date_updated":"2021-01-12T08:06:59Z","ddc":["005"],"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by-nc/4.0/legalcode","image":"/images/cc_by_nc.png","name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","short":"CC BY-NC (4.0)"},"conference":{"name":"eHealth: Health Informatics Meets eHealth","start_date":"2017-05-23","end_date":"2017-05-24","location":"Vienna, Austria"},"type":"conference","pubrep_id":"906","status":"public","_id":"630","page":"356 - 362","date_created":"2018-12-11T11:47:36Z","doi":"10.3233/978-1-61499-759-7-356","date_published":"2017-01-01T00:00:00Z","year":"2017","has_accepted_license":"1","day":"01","oa":1,"quality_controlled":"1","publisher":"IOS Press","author":[{"last_name":"Sauermann","full_name":"Sauermann, Stefan","first_name":"Stefan"},{"first_name":"Veronika","last_name":"David","full_name":"David, Veronika"},{"orcid":"0000-0002-5621-8100","full_name":"Schlögl, Alois","last_name":"Schlögl","id":"45BF87EE-F248-11E8-B48F-1D18A9856A87","first_name":"Alois"},{"full_name":"Egelkraut, Reinhard","last_name":"Egelkraut","first_name":"Reinhard"},{"first_name":"Matthias","full_name":"Frohner, Matthias","last_name":"Frohner"},{"first_name":"Birgit","full_name":"Pohn, Birgit","last_name":"Pohn"},{"last_name":"Urbauer","full_name":"Urbauer, Philipp","first_name":"Philipp"},{"first_name":"Alexander","last_name":"Mense","full_name":"Mense, Alexander"}],"publist_id":"7164","title":"Biosignals standards and FHIR: The way to go","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.","short":"S. Sauermann, V. David, A. Schlögl, R. Egelkraut, M. Frohner, B. Pohn, P. Urbauer, A. Mense, in:, IOS Press, 2017, pp. 356–362.","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.","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","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","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.","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."},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87"},{"_id":"706","type":"journal_article","status":"public","date_updated":"2021-01-12T08:11:37Z","citation":{"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.","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.","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.","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","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.","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."},"user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","publist_id":"6987","author":[{"id":"3395256A-F248-11E8-B48F-1D18A9856A87","first_name":"Xiaoqi","last_name":"Geng","full_name":"Geng, Xiaoqi"},{"last_name":"Maruo","full_name":"Maruo, Tomohiko","first_name":"Tomohiko"},{"first_name":"Kenji","last_name":"Mandai","full_name":"Mandai, Kenji"},{"first_name":"Irwan","last_name":"Supriyanto","full_name":"Supriyanto, Irwan"},{"first_name":"Muneaki","full_name":"Miyata, Muneaki","last_name":"Miyata"},{"first_name":"Shotaro","last_name":"Sakakibara","full_name":"Sakakibara, Shotaro"},{"full_name":"Mizoguchi, Akira","last_name":"Mizoguchi","first_name":"Akira"},{"first_name":"Yoshimi","last_name":"Takai","full_name":"Takai, Yoshimi"},{"first_name":"Masahiro","last_name":"Mori","full_name":"Mori, Masahiro"}],"title":"Roles of afadin in functional differentiations of hippocampal mossy fiber synapse","department":[{"_id":"PeJo"}],"abstract":[{"lang":"eng","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."}],"oa_version":"None","publisher":"Wiley-Blackwell","quality_controlled":"1","scopus_import":1,"intvolume":" 22","month":"08","publication_status":"published","year":"2017","publication_identifier":{"issn":["13569597"]},"publication":"Genes to Cells","language":[{"iso":"eng"}],"day":"01","page":"715 - 722","date_created":"2018-12-11T11:48:02Z","volume":22,"doi":"10.1111/gtc.12508","issue":"8","date_published":"2017-08-01T00:00:00Z"},{"project":[{"_id":"25C26B1E-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","name":"Mechanisms of transmitter release at GABAergic synapses","grant_number":"P24909-B24"},{"grant_number":"268548","name":"Nanophysiology of fast-spiking, parvalbumin-expressing GABAergic interneurons","_id":"25C0F108-B435-11E9-9278-68D0E5697425","call_identifier":"FP7"}],"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","citation":{"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.","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","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","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.","short":"J. Gan, S.-M. Weng, A. Pernia-Andrade, J.L. Csicsvari, P.M. Jonas, Neuron 93 (2017) 308–314.","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.","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."},"title":"Phase-locked inhibition, but not excitation, underlies hippocampal ripple oscillations in awake mice in vivo","publist_id":"6244","author":[{"id":"3614E438-F248-11E8-B48F-1D18A9856A87","first_name":"Jian","full_name":"Gan, Jian","last_name":"Gan"},{"id":"2F9C5AC8-F248-11E8-B48F-1D18A9856A87","first_name":"Shih-Ming","last_name":"Weng","full_name":"Weng, Shih-Ming"},{"id":"36963E98-F248-11E8-B48F-1D18A9856A87","first_name":"Alejandro","last_name":"Pernia-Andrade","full_name":"Pernia-Andrade, Alejandro"},{"orcid":"0000-0002-5193-4036","full_name":"Csicsvari, Jozsef L","last_name":"Csicsvari","id":"3FA14672-F248-11E8-B48F-1D18A9856A87","first_name":"Jozsef L"},{"first_name":"Peter M","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-5001-4804","full_name":"Jonas, Peter M","last_name":"Jonas"}],"article_processing_charge":"No","external_id":{"isi":["000396428200010"]},"publisher":"Elsevier","quality_controlled":"1","oa":1,"day":"18","publication":"Neuron","isi":1,"has_accepted_license":"1","year":"2017","doi":"10.1016/j.neuron.2016.12.018","date_published":"2017-01-18T00:00:00Z","date_created":"2018-12-11T11:50:15Z","page":"308 - 314","_id":"1118","status":"public","pubrep_id":"752","type":"journal_article","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"ddc":["571"],"date_updated":"2023-09-20T11:31:48Z","file_date_updated":"2018-12-12T10:08:56Z","department":[{"_id":"PeJo"},{"_id":"JoCs"}],"oa_version":"Published Version","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"}],"acknowledged_ssus":[{"_id":"M-Shop"},{"_id":"ScienComp"},{"_id":"PreCl"}],"month":"01","intvolume":" 93","scopus_import":"1","file":[{"file_id":"4719","content_type":"application/pdf","access_level":"open_access","relation":"main_file","date_created":"2018-12-12T10:08:56Z","file_name":"IST-2017-752-v1+1_1-s2.0-S0896627316309606-main.pdf","date_updated":"2018-12-12T10:08:56Z","file_size":2738950,"creator":"system"}],"language":[{"iso":"eng"}],"publication_status":"published","issue":"2","volume":93,"ec_funded":1},{"project":[{"grant_number":"P24909-B24","name":"Mechanisms of transmitter release at GABAergic synapses","call_identifier":"FWF","_id":"25C26B1E-B435-11E9-9278-68D0E5697425"},{"_id":"25C0F108-B435-11E9-9278-68D0E5697425","call_identifier":"FP7","grant_number":"268548","name":"Nanophysiology of fast-spiking, parvalbumin-expressing GABAergic interneurons"}],"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.","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.","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.","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","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","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."},"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","article_processing_charge":"No","external_id":{"isi":["000396470600013"]},"author":[{"full_name":"Chen, Chong","last_name":"Chen","id":"3DFD581A-F248-11E8-B48F-1D18A9856A87","first_name":"Chong"},{"id":"32A73F6C-F248-11E8-B48F-1D18A9856A87","first_name":"Itaru","full_name":"Arai, Itaru","last_name":"Arai"},{"first_name":"Rachel","last_name":"Satterield","full_name":"Satterield, Rachel"},{"last_name":"Young","full_name":"Young, Samuel","first_name":"Samuel"},{"id":"353C1B58-F248-11E8-B48F-1D18A9856A87","first_name":"Peter M","last_name":"Jonas","full_name":"Jonas, Peter M","orcid":"0000-0001-5001-4804"}],"publist_id":"6245","title":"Synaptotagmin 2 is the fast Ca2+ sensor at a central inhibitory synapse","oa":1,"quality_controlled":"1","publisher":"Cell Press","year":"2017","isi":1,"has_accepted_license":"1","publication":"Cell Reports","day":"17","page":"723 - 736","date_created":"2018-12-11T11:50:14Z","date_published":"2017-01-17T00:00:00Z","doi":"10.1016/j.celrep.2016.12.067","_id":"1117","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"type":"journal_article","pubrep_id":"751","status":"public","date_updated":"2023-09-20T11:32:15Z","ddc":["571"],"file_date_updated":"2018-12-12T10:16:09Z","department":[{"_id":"PeJo"}],"abstract":[{"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","lang":"eng"}],"acknowledged_ssus":[{"_id":"Bio"},{"_id":"PreCl"}],"oa_version":"Published Version","scopus_import":"1","intvolume":" 18","month":"01","publication_status":"published","publication_identifier":{"issn":["22111247"]},"language":[{"iso":"eng"}],"file":[{"content_type":"application/pdf","access_level":"open_access","relation":"main_file","file_id":"5195","date_updated":"2018-12-12T10:16:09Z","file_size":4427591,"creator":"system","date_created":"2018-12-12T10:16:09Z","file_name":"IST-2017-751-v1+1_1-s2.0-S2211124716317740-main.pdf"}],"ec_funded":1,"volume":18,"issue":"3","related_material":{"record":[{"relation":"dissertation_contains","status":"public","id":"324"}]}}]