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...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-10-01
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| Series: | Frontiers in Cellular Neuroscience |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fncel.2022.1025012/full |
| _version_ | 1817983344843948032 |
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| author | Lukas Valihrach Lukas Valihrach Zuzana Matusova Zuzana Matusova Daniel Zucha Daniel Zucha Ruslan Klassen Ruslan Klassen Sarka Benesova Sarka Benesova Pavel Abaffy Mikael Kubista Mikael Kubista Miroslava Anderova |
| author_facet | Lukas Valihrach Lukas Valihrach Zuzana Matusova Zuzana Matusova Daniel Zucha Daniel Zucha Ruslan Klassen Ruslan Klassen Sarka Benesova Sarka Benesova Pavel Abaffy Mikael Kubista Mikael Kubista Miroslava Anderova |
| author_sort | Lukas Valihrach |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-13T23:32:04Z |
| format | Article |
| id | doaj.art-ee68bf5d336c4cf69f135b10fb4ac8e3 |
| institution | Directory Open Access Journal |
| issn | 1662-5102 |
| language | English |
| last_indexed | 2024-04-13T23:32:04Z |
| publishDate | 2022-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Cellular Neuroscience |
| spelling | doaj.art-ee68bf5d336c4cf69f135b10fb4ac8e32022-12-22T02:24:53ZengFrontiers Media S.A.Frontiers in Cellular Neuroscience1662-51022022-10-011610.3389/fncel.2022.10250121025012Recent advances in deciphering oligodendrocyte heterogeneity with single-cell transcriptomicsLukas Valihrach0Lukas Valihrach1Zuzana Matusova2Zuzana Matusova3Daniel Zucha4Daniel Zucha5Ruslan Klassen6Ruslan Klassen7Sarka Benesova8Sarka Benesova9Pavel Abaffy10Mikael Kubista11Mikael Kubista12Miroslava Anderova13Laboratory of Gene Expression, Institute of Biotechnology of the Czech Academy of Sciences, Vestec, CzechiaDepartment of Cellular Neurophysiology, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, CzechiaLaboratory of Gene Expression, Institute of Biotechnology of the Czech Academy of Sciences, Vestec, CzechiaFaculty of Science, Charles University, Prague, CzechiaLaboratory of Gene Expression, Institute of Biotechnology of the Czech Academy of Sciences, Vestec, CzechiaDepartment of Informatics and Chemistry, Faculty of Chemical Technology, University of Chemistry and Technology, Prague, CzechiaLaboratory of Gene Expression, Institute of Biotechnology of the Czech Academy of Sciences, Vestec, CzechiaDepartment of Biochemistry and Microbiology, Faculty of Food and Biochemical Technology, University of Chemistry and Technology, Prague, CzechiaLaboratory of Gene Expression, Institute of Biotechnology of the Czech Academy of Sciences, Vestec, CzechiaDepartment of Informatics and Chemistry, Faculty of Chemical Technology, University of Chemistry and Technology, Prague, CzechiaLaboratory of Gene Expression, Institute of Biotechnology of the Czech Academy of Sciences, Vestec, CzechiaLaboratory of Gene Expression, Institute of Biotechnology of the Czech Academy of Sciences, Vestec, CzechiaTATAA Biocenter AB, Gothenburg, SwedenDepartment of Cellular Neurophysiology, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, CzechiaOligodendrocytes (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.https://www.frontiersin.org/articles/10.3389/fncel.2022.1025012/fulloligodendrocyteheterogeneityscRNA-seqsnRNA-seqpopulationsmarker genes |
| spellingShingle | Lukas Valihrach Lukas Valihrach Zuzana Matusova Zuzana Matusova Daniel Zucha Daniel Zucha Ruslan Klassen Ruslan Klassen Sarka Benesova Sarka Benesova Pavel Abaffy Mikael Kubista Mikael Kubista Miroslava Anderova Recent advances in deciphering oligodendrocyte heterogeneity with single-cell transcriptomics Frontiers in Cellular Neuroscience oligodendrocyte heterogeneity scRNA-seq snRNA-seq populations marker genes |
| 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 | oligodendrocyte heterogeneity scRNA-seq snRNA-seq populations marker genes |
| url | https://www.frontiersin.org/articles/10.3389/fncel.2022.1025012/full |
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