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An update to Hippocampome.org by integrating single-cell phenotypes with circuit function in vivo
Understanding brain operation demands linking basic behavioral traits to cell-type specific dynamics of different brain-wide subcircuits. This requires a system to classify the basic operational modes of neurons and circuits. Single-cell phenotyping of firing behavior during ongoing oscillations in...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8130934/ https://www.ncbi.nlm.nih.gov/pubmed/33956790 http://dx.doi.org/10.1371/journal.pbio.3001213 |
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author | Sanchez-Aguilera, Alberto Wheeler, Diek W. Jurado-Parras, Teresa Valero, Manuel Nokia, Miriam S. Cid, Elena Fernandez-Lamo, Ivan Sutton, Nate García-Rincón, Daniel de la Prida, Liset M. Ascoli, Giorgio A. |
author_facet | Sanchez-Aguilera, Alberto Wheeler, Diek W. Jurado-Parras, Teresa Valero, Manuel Nokia, Miriam S. Cid, Elena Fernandez-Lamo, Ivan Sutton, Nate García-Rincón, Daniel de la Prida, Liset M. Ascoli, Giorgio A. |
author_sort | Sanchez-Aguilera, Alberto |
collection | PubMed |
description | Understanding brain operation demands linking basic behavioral traits to cell-type specific dynamics of different brain-wide subcircuits. This requires a system to classify the basic operational modes of neurons and circuits. Single-cell phenotyping of firing behavior during ongoing oscillations in vivo has provided a large body of evidence on entorhinal–hippocampal function, but data are dispersed and diverse. Here, we mined literature to search for information regarding the phase-timing dynamics of over 100 hippocampal/entorhinal neuron types defined in Hippocampome.org. We identified missing and unresolved pieces of knowledge (e.g., the preferred theta phase for a specific neuron type) and complemented the dataset with our own new data. By confronting the effect of brain state and recording methods, we highlight the equivalences and differences across conditions and offer a number of novel observations. We show how a heuristic approach based on oscillatory features of morphologically identified neurons can aid in classifying extracellular recordings of single cells and discuss future opportunities and challenges towards integrating single-cell phenotypes with circuit function. |
format | Online Article Text |
id | pubmed-8130934 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-81309342021-05-27 An update to Hippocampome.org by integrating single-cell phenotypes with circuit function in vivo Sanchez-Aguilera, Alberto Wheeler, Diek W. Jurado-Parras, Teresa Valero, Manuel Nokia, Miriam S. Cid, Elena Fernandez-Lamo, Ivan Sutton, Nate García-Rincón, Daniel de la Prida, Liset M. Ascoli, Giorgio A. PLoS Biol Methods and Resources Understanding brain operation demands linking basic behavioral traits to cell-type specific dynamics of different brain-wide subcircuits. This requires a system to classify the basic operational modes of neurons and circuits. Single-cell phenotyping of firing behavior during ongoing oscillations in vivo has provided a large body of evidence on entorhinal–hippocampal function, but data are dispersed and diverse. Here, we mined literature to search for information regarding the phase-timing dynamics of over 100 hippocampal/entorhinal neuron types defined in Hippocampome.org. We identified missing and unresolved pieces of knowledge (e.g., the preferred theta phase for a specific neuron type) and complemented the dataset with our own new data. By confronting the effect of brain state and recording methods, we highlight the equivalences and differences across conditions and offer a number of novel observations. We show how a heuristic approach based on oscillatory features of morphologically identified neurons can aid in classifying extracellular recordings of single cells and discuss future opportunities and challenges towards integrating single-cell phenotypes with circuit function. Public Library of Science 2021-05-06 /pmc/articles/PMC8130934/ /pubmed/33956790 http://dx.doi.org/10.1371/journal.pbio.3001213 Text en © 2021 Sanchez-Aguilera et al 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 use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Methods and Resources Sanchez-Aguilera, Alberto Wheeler, Diek W. Jurado-Parras, Teresa Valero, Manuel Nokia, Miriam S. Cid, Elena Fernandez-Lamo, Ivan Sutton, Nate García-Rincón, Daniel de la Prida, Liset M. Ascoli, Giorgio A. An update to Hippocampome.org by integrating single-cell phenotypes with circuit function in vivo |
title | An update to Hippocampome.org by integrating single-cell phenotypes with circuit function in vivo |
title_full | An update to Hippocampome.org by integrating single-cell phenotypes with circuit function in vivo |
title_fullStr | An update to Hippocampome.org by integrating single-cell phenotypes with circuit function in vivo |
title_full_unstemmed | An update to Hippocampome.org by integrating single-cell phenotypes with circuit function in vivo |
title_short | An update to Hippocampome.org by integrating single-cell phenotypes with circuit function in vivo |
title_sort | update to hippocampome.org by integrating single-cell phenotypes with circuit function in vivo |
topic | Methods and Resources |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8130934/ https://www.ncbi.nlm.nih.gov/pubmed/33956790 http://dx.doi.org/10.1371/journal.pbio.3001213 |
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