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An in vitro whole-cell electrophysiology dataset of human cortical neurons

BACKGROUND: Whole-cell patch-clamp electrophysiology is an essential technique for understanding how single neurons translate their diverse inputs into a functional output. The relative inaccessibility of live human cortical neurons for experimental manipulation has made it difficult to determine th...

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Autores principales: Howard, Derek, Chameh, Homeira Moradi, Guet-McCreight, Alexandre, Hsiao, Huan Allen, Vuong, Maggie, Seo, Young Seok, Shah, Prajay, Nigam, Anukrati, Chen, Yuxiao, Davie, Melanie, Hay, Etay, Valiante, Taufik A, Tripathy, Shreejoy J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9664072/
https://www.ncbi.nlm.nih.gov/pubmed/36377463
http://dx.doi.org/10.1093/gigascience/giac108
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author Howard, Derek
Chameh, Homeira Moradi
Guet-McCreight, Alexandre
Hsiao, Huan Allen
Vuong, Maggie
Seo, Young Seok
Shah, Prajay
Nigam, Anukrati
Chen, Yuxiao
Davie, Melanie
Hay, Etay
Valiante, Taufik A
Tripathy, Shreejoy J
author_facet Howard, Derek
Chameh, Homeira Moradi
Guet-McCreight, Alexandre
Hsiao, Huan Allen
Vuong, Maggie
Seo, Young Seok
Shah, Prajay
Nigam, Anukrati
Chen, Yuxiao
Davie, Melanie
Hay, Etay
Valiante, Taufik A
Tripathy, Shreejoy J
author_sort Howard, Derek
collection PubMed
description BACKGROUND: Whole-cell patch-clamp electrophysiology is an essential technique for understanding how single neurons translate their diverse inputs into a functional output. The relative inaccessibility of live human cortical neurons for experimental manipulation has made it difficult to determine the unique features of how human cortical neurons differ from their counterparts in other species. FINDINGS: We present a curated repository of whole-cell patch-clamp recordings from surgically resected human cortical tissue, encompassing 118 neurons from 35 individuals (age range, 21–59 years; 17 male, 18 female). Recorded human cortical neurons derive from layers 2 and 3 (L2&3), deep layer 3 (L3c), or layer 5 (L5) and are annotated with a rich set of subject and experimental metadata. For comparison, we also provide a limited set of comparable recordings from 21-day-old mice (11 cells from 5 mice). All electrophysiological recordings are provided in the Neurodata Without Borders (NWB) format and are available for further analysis via the Distributed Archives for Neurophysiology Data Integration online repository. The associated data conversion code is made publicly available and can help others in converting electrophysiology datasets to the open NWB standard for general reuse. CONCLUSION: These data can be used for novel analyses of biophysical characteristics of human cortical neurons, including in cross-species or cross-lab comparisons or in building computational models of individual human neurons.
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spelling pubmed-96640722022-11-14 An in vitro whole-cell electrophysiology dataset of human cortical neurons Howard, Derek Chameh, Homeira Moradi Guet-McCreight, Alexandre Hsiao, Huan Allen Vuong, Maggie Seo, Young Seok Shah, Prajay Nigam, Anukrati Chen, Yuxiao Davie, Melanie Hay, Etay Valiante, Taufik A Tripathy, Shreejoy J Gigascience Data Note BACKGROUND: Whole-cell patch-clamp electrophysiology is an essential technique for understanding how single neurons translate their diverse inputs into a functional output. The relative inaccessibility of live human cortical neurons for experimental manipulation has made it difficult to determine the unique features of how human cortical neurons differ from their counterparts in other species. FINDINGS: We present a curated repository of whole-cell patch-clamp recordings from surgically resected human cortical tissue, encompassing 118 neurons from 35 individuals (age range, 21–59 years; 17 male, 18 female). Recorded human cortical neurons derive from layers 2 and 3 (L2&3), deep layer 3 (L3c), or layer 5 (L5) and are annotated with a rich set of subject and experimental metadata. For comparison, we also provide a limited set of comparable recordings from 21-day-old mice (11 cells from 5 mice). All electrophysiological recordings are provided in the Neurodata Without Borders (NWB) format and are available for further analysis via the Distributed Archives for Neurophysiology Data Integration online repository. The associated data conversion code is made publicly available and can help others in converting electrophysiology datasets to the open NWB standard for general reuse. CONCLUSION: These data can be used for novel analyses of biophysical characteristics of human cortical neurons, including in cross-species or cross-lab comparisons or in building computational models of individual human neurons. Oxford University Press 2022-11-15 /pmc/articles/PMC9664072/ /pubmed/36377463 http://dx.doi.org/10.1093/gigascience/giac108 Text en © The Author(s) 2022. Published by Oxford University Press GigaScience. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Data Note
Howard, Derek
Chameh, Homeira Moradi
Guet-McCreight, Alexandre
Hsiao, Huan Allen
Vuong, Maggie
Seo, Young Seok
Shah, Prajay
Nigam, Anukrati
Chen, Yuxiao
Davie, Melanie
Hay, Etay
Valiante, Taufik A
Tripathy, Shreejoy J
An in vitro whole-cell electrophysiology dataset of human cortical neurons
title An in vitro whole-cell electrophysiology dataset of human cortical neurons
title_full An in vitro whole-cell electrophysiology dataset of human cortical neurons
title_fullStr An in vitro whole-cell electrophysiology dataset of human cortical neurons
title_full_unstemmed An in vitro whole-cell electrophysiology dataset of human cortical neurons
title_short An in vitro whole-cell electrophysiology dataset of human cortical neurons
title_sort in vitro whole-cell electrophysiology dataset of human cortical neurons
topic Data Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9664072/
https://www.ncbi.nlm.nih.gov/pubmed/36377463
http://dx.doi.org/10.1093/gigascience/giac108
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