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Recent advances in deciphering oligodendrocyte heterogeneity with single-cell transcriptomics
Oligodendrocytes (OL) have been for decades considered a passive, homogenous population of cells that provide support to neurons, and show a limited response to pathological stimuli. This view has been dramatically changed by the introduction of powerful transcriptomic methods that have uncovered a...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9606807/ https://www.ncbi.nlm.nih.gov/pubmed/36313617 http://dx.doi.org/10.3389/fncel.2022.1025012 |
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author | Valihrach, Lukas Matusova, Zuzana Zucha, Daniel Klassen, Ruslan Benesova, Sarka Abaffy, Pavel Kubista, Mikael Anderova, Miroslava |
author_facet | Valihrach, Lukas Matusova, Zuzana Zucha, Daniel Klassen, Ruslan Benesova, Sarka Abaffy, Pavel Kubista, Mikael Anderova, Miroslava |
author_sort | Valihrach, Lukas |
collection | PubMed |
description | Oligodendrocytes (OL) have been for decades considered a passive, homogenous population of cells that provide support to neurons, and show a limited response to pathological stimuli. This view has been dramatically changed by the introduction of powerful transcriptomic methods that have uncovered a broad spectrum of OL populations that co-exist within the healthy central nervous system (CNS) and also across a variety of diseases. Specifically, single-cell and single-nucleus RNA-sequencing (scRNA-seq, snRNA-seq) have been used to reveal OL variations in maturation, myelination and immune status. The newly discovered immunomodulatory role suggests that OL may serve as targets for future therapies. In this review, we summarize the current understanding of OL heterogeneity in mammalian CNS as revealed by scRNA-seq and snRNA-seq. We provide a list of key studies that identify consensus marker genes defining the currently known OL populations. This resource can be used to standardize analysis of OL related datasets and improve their interpretation, ultimately leading to a better understanding of OL functions in health and disease. |
format | Online Article Text |
id | pubmed-9606807 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96068072022-10-28 Recent advances in deciphering oligodendrocyte heterogeneity with single-cell transcriptomics Valihrach, Lukas Matusova, Zuzana Zucha, Daniel Klassen, Ruslan Benesova, Sarka Abaffy, Pavel Kubista, Mikael Anderova, Miroslava Front Cell Neurosci Neuroscience Oligodendrocytes (OL) have been for decades considered a passive, homogenous population of cells that provide support to neurons, and show a limited response to pathological stimuli. This view has been dramatically changed by the introduction of powerful transcriptomic methods that have uncovered a broad spectrum of OL populations that co-exist within the healthy central nervous system (CNS) and also across a variety of diseases. Specifically, single-cell and single-nucleus RNA-sequencing (scRNA-seq, snRNA-seq) have been used to reveal OL variations in maturation, myelination and immune status. The newly discovered immunomodulatory role suggests that OL may serve as targets for future therapies. In this review, we summarize the current understanding of OL heterogeneity in mammalian CNS as revealed by scRNA-seq and snRNA-seq. We provide a list of key studies that identify consensus marker genes defining the currently known OL populations. This resource can be used to standardize analysis of OL related datasets and improve their interpretation, ultimately leading to a better understanding of OL functions in health and disease. Frontiers Media S.A. 2022-10-13 /pmc/articles/PMC9606807/ /pubmed/36313617 http://dx.doi.org/10.3389/fncel.2022.1025012 Text en Copyright © 2022 Valihrach, Matusova, Zucha, Klassen, Benesova, Abaffy, Kubista and Anderova. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Valihrach, Lukas Matusova, Zuzana Zucha, Daniel Klassen, Ruslan Benesova, Sarka Abaffy, Pavel Kubista, Mikael Anderova, Miroslava Recent advances in deciphering oligodendrocyte heterogeneity with single-cell transcriptomics |
title | Recent advances in deciphering oligodendrocyte heterogeneity with single-cell transcriptomics |
title_full | Recent advances in deciphering oligodendrocyte heterogeneity with single-cell transcriptomics |
title_fullStr | Recent advances in deciphering oligodendrocyte heterogeneity with single-cell transcriptomics |
title_full_unstemmed | Recent advances in deciphering oligodendrocyte heterogeneity with single-cell transcriptomics |
title_short | Recent advances in deciphering oligodendrocyte heterogeneity with single-cell transcriptomics |
title_sort | recent advances in deciphering oligodendrocyte heterogeneity with single-cell transcriptomics |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9606807/ https://www.ncbi.nlm.nih.gov/pubmed/36313617 http://dx.doi.org/10.3389/fncel.2022.1025012 |
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