Počet záznamů: 1  

Recent advances in deciphering oligodendrocyte heterogeneity with single-cell transcriptomics

  1. 1.
    0566908 - ÚEM 2023 RIV CH eng J - Článek v odborném periodiku
    Valihrach, Lukáš - Matúšová, Z. - Žucha, D. - Klassen, R. - Benešová, Š. - Abaffy, P. - Kubista, M. - Anděrová, Miroslava
    Recent advances in deciphering oligodendrocyte heterogeneity with single-cell transcriptomics.
    Frontiers in Cellular Neuroscience. Roč. 16, oct. (2022), č. článku 1025012. ISSN 1662-5102. E-ISSN 1662-5102
    Grant CEP: GA MŠMT(CZ) LX22NPO5107
    Institucionální podpora: RVO:68378041
    Klíčová slova: oligodendrocyte * heterogeneity * scRNA-seq * snRNA-seq * populations * marker genes
    Obor OECD: Neurosciences (including psychophysiology
    Impakt faktor: 5.3, rok: 2022
    Způsob publikování: Open access
    Web výsledku:
    https://www.frontiersin.org/articles/10.3389/fncel.2022.1025012/full
    DOI: https://doi.org/10.3389/fncel.2022.1025012

    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.

    Trvalý link: https://hdl.handle.net/11104/0338177

     
     
Počet záznamů: 1  

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