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Classes and continua of hippocampal CA1 inhibitory neurons revealed by single-cell transcriptomics

Understanding any brain circuit will require a categorization of its constituent neurons. In hippocampal area CA1, at least 23 classes of GABAergic neuron have been proposed to date. However, this list may be incomplete; additionally, it is unclear whether discrete classes are sufficient to describe...

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Autores principales: Harris, Kenneth D., Hochgerner, Hannah, Skene, Nathan G., Magno, Lorenza, Katona, Linda, Bengtsson Gonzales, Carolina, Somogyi, Peter, Kessaris, Nicoletta, Linnarsson, Sten, Hjerling-Leffler, Jens
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6029811/
https://www.ncbi.nlm.nih.gov/pubmed/29912866
http://dx.doi.org/10.1371/journal.pbio.2006387
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author Harris, Kenneth D.
Hochgerner, Hannah
Skene, Nathan G.
Magno, Lorenza
Katona, Linda
Bengtsson Gonzales, Carolina
Somogyi, Peter
Kessaris, Nicoletta
Linnarsson, Sten
Hjerling-Leffler, Jens
author_facet Harris, Kenneth D.
Hochgerner, Hannah
Skene, Nathan G.
Magno, Lorenza
Katona, Linda
Bengtsson Gonzales, Carolina
Somogyi, Peter
Kessaris, Nicoletta
Linnarsson, Sten
Hjerling-Leffler, Jens
author_sort Harris, Kenneth D.
collection PubMed
description Understanding any brain circuit will require a categorization of its constituent neurons. In hippocampal area CA1, at least 23 classes of GABAergic neuron have been proposed to date. However, this list may be incomplete; additionally, it is unclear whether discrete classes are sufficient to describe the diversity of cortical inhibitory neurons or whether continuous modes of variability are also required. We studied the transcriptomes of 3,663 CA1 inhibitory cells, revealing 10 major GABAergic groups that divided into 49 fine-scale clusters. All previously described and several novel cell classes were identified, with three previously described classes unexpectedly found to be identical. A division into discrete classes, however, was not sufficient to describe the diversity of these cells, as continuous variation also occurred between and within classes. Latent factor analysis revealed that a single continuous variable could predict the expression levels of several genes, which correlated similarly with it across multiple cell types. Analysis of the genes correlating with this variable suggested it reflects a range from metabolically highly active faster-spiking cells that proximally target pyramidal cells to slower-spiking cells targeting distal dendrites or interneurons. These results elucidate the complexity of inhibitory neurons in one of the simplest cortical structures and show that characterizing these cells requires continuous modes of variation as well as discrete cell classes.
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spelling pubmed-60298112018-07-19 Classes and continua of hippocampal CA1 inhibitory neurons revealed by single-cell transcriptomics Harris, Kenneth D. Hochgerner, Hannah Skene, Nathan G. Magno, Lorenza Katona, Linda Bengtsson Gonzales, Carolina Somogyi, Peter Kessaris, Nicoletta Linnarsson, Sten Hjerling-Leffler, Jens PLoS Biol Methods and Resources Understanding any brain circuit will require a categorization of its constituent neurons. In hippocampal area CA1, at least 23 classes of GABAergic neuron have been proposed to date. However, this list may be incomplete; additionally, it is unclear whether discrete classes are sufficient to describe the diversity of cortical inhibitory neurons or whether continuous modes of variability are also required. We studied the transcriptomes of 3,663 CA1 inhibitory cells, revealing 10 major GABAergic groups that divided into 49 fine-scale clusters. All previously described and several novel cell classes were identified, with three previously described classes unexpectedly found to be identical. A division into discrete classes, however, was not sufficient to describe the diversity of these cells, as continuous variation also occurred between and within classes. Latent factor analysis revealed that a single continuous variable could predict the expression levels of several genes, which correlated similarly with it across multiple cell types. Analysis of the genes correlating with this variable suggested it reflects a range from metabolically highly active faster-spiking cells that proximally target pyramidal cells to slower-spiking cells targeting distal dendrites or interneurons. These results elucidate the complexity of inhibitory neurons in one of the simplest cortical structures and show that characterizing these cells requires continuous modes of variation as well as discrete cell classes. Public Library of Science 2018-06-18 /pmc/articles/PMC6029811/ /pubmed/29912866 http://dx.doi.org/10.1371/journal.pbio.2006387 Text en © 2018 Harris et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://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
Harris, Kenneth D.
Hochgerner, Hannah
Skene, Nathan G.
Magno, Lorenza
Katona, Linda
Bengtsson Gonzales, Carolina
Somogyi, Peter
Kessaris, Nicoletta
Linnarsson, Sten
Hjerling-Leffler, Jens
Classes and continua of hippocampal CA1 inhibitory neurons revealed by single-cell transcriptomics
title Classes and continua of hippocampal CA1 inhibitory neurons revealed by single-cell transcriptomics
title_full Classes and continua of hippocampal CA1 inhibitory neurons revealed by single-cell transcriptomics
title_fullStr Classes and continua of hippocampal CA1 inhibitory neurons revealed by single-cell transcriptomics
title_full_unstemmed Classes and continua of hippocampal CA1 inhibitory neurons revealed by single-cell transcriptomics
title_short Classes and continua of hippocampal CA1 inhibitory neurons revealed by single-cell transcriptomics
title_sort classes and continua of hippocampal ca1 inhibitory neurons revealed by single-cell transcriptomics
topic Methods and Resources
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6029811/
https://www.ncbi.nlm.nih.gov/pubmed/29912866
http://dx.doi.org/10.1371/journal.pbio.2006387
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