Recent advances in deciphering oligodendrocyte heterogeneity with single-cell transcriptomics
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378041%3A_____%2F22%3A00563715" target="_blank" >RIV/68378041:_____/22:00563715 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/86652036:_____/22:00563715 RIV/68378041:_____/22:00566908
Výsledek na webu
<a href="https://www.frontiersin.org/articles/10.3389/fncel.2022.1025012/full" target="_blank" >https://www.frontiersin.org/articles/10.3389/fncel.2022.1025012/full</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3389/fncel.2022.1025012" target="_blank" >10.3389/fncel.2022.1025012</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Recent advances in deciphering oligodendrocyte heterogeneity with single-cell transcriptomics
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Recent advances in deciphering oligodendrocyte heterogeneity with single-cell transcriptomics
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
30103 - Neurosciences (including psychophysiology)
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Frontiers in Cellular Neuroscience
ISSN
1662-5102
e-ISSN
1662-5102
Svazek periodika
16
Číslo periodika v rámci svazku
OCT 13 2022
Stát vydavatele periodika
CH - Švýcarská konfederace
Počet stran výsledku
8
Strana od-do
1025012
Kód UT WoS článku
000875842100001
EID výsledku v databázi Scopus
2-s2.0-85140777633