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Recent advances in deciphering oligodendrocyte heterogeneity with single-cell transcriptomics
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SYSNO ASEP 0566908 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Recent advances in deciphering oligodendrocyte heterogeneity with single-cell transcriptomics Author(s) Valihrach, Lukáš (UEM-P)
Matúšová, Z. (CZ)
Žucha, D. (CZ)
Klassen, R. (CZ)
Benešová, Š. (CZ)
Abaffy, P. (CZ)
Kubista, M. (CZ)
Anděrová, Miroslava (UEM-P) RID, ORCIDArticle number 1025012 Source Title Frontiers in Cellular Neuroscience. - : Frontiers Media
Roč. 16, oct. (2022)Number of pages 8 s. Language eng - English Country CH - Switzerland Keywords oligodendrocyte ; heterogeneity ; scRNA-seq ; snRNA-seq ; populations ; marker genes OECD category Neurosciences (including psychophysiology R&D Projects LX22NPO5107 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) Method of publishing Open access Institutional support UEM-P - RVO:68378041 UT WOS 000875842100001 EID SCOPUS 85140777633 DOI 10.3389/fncel.2022.1025012 Annotation 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. Workplace Institute of Experimental Medicine Contact Lenka Koželská, lenka.kozelska@iem.cas.cz, Tel.: 241 062 218, 296 442 218 Year of Publishing 2023 Electronic address https://www.frontiersin.org/articles/10.3389/fncel.2022.1025012/full
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