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Reactive astrogliosis in the era of single-cell transcriptomics
- 1.0571183 - ÚEM 2024 RIV CH eng J - Journal Article
Matúšová, Z. - Hol, E.M. - Pěkný, M. - Kubista, M. - Valihrach, Lukáš
Reactive astrogliosis in the era of single-cell transcriptomics.
Frontiers in Cellular Neuroscience. Roč. 17, april (2023), č. článku 1173200. ISSN 1662-5102. E-ISSN 1662-5102
R&D Projects: GA ČR(CZ) GA23-05327S; GA ČR(CZ) GA23-06269S; GA MŠMT(CZ) LX22NPO5107; GA MŠMT(CZ) ED1.1.00/02.0109
Institutional support: RVO:68378041
Keywords : reactive astrogliosis * astrocytes * cell populations * single-cell * RNA-seq * neuroinflammation * neurodegeneration * CNS diseases
OECD category: Neurosciences (including psychophysiology
Impact factor: 4.2, year: 2023
Method of publishing: Open access
https://www.frontiersin.org/articles/10.3389/fncel.2023.1173200/full
Reactive astrogliosis is a reaction of astrocytes to disturbed homeostasis in the
central nervous system (CNS), accompanied by changes in astrocyte numbers,
morphology, and function. Reactive astrocytes are important in the onset
and progression of many neuropathologies, such as neurotrauma, stroke, and
neurodegenerative diseases. Single-cell transcriptomics has revealed remarkable
heterogeneity of reactive astrocytes, indicating their multifaceted functions in
a whole spectrum of neuropathologies, with important temporal and spatial
resolution, both in the brain and in the spinal cord. Interestingly, transcriptomic
signatures of reactive astrocytes partially overlap between neurological diseases,
suggesting shared and unique gene expression patterns in response to individual
neuropathologies. In the era of single-cell transcriptomics, the number of
new datasets steeply increases, and they often benefit from comparisons and
integration with previously published work. Here, we provide an overview
of reactive astrocyte populations defined by single-cell or single-nucleus
transcriptomics across multiple neuropathologies, attempting to facilitate the
search for relevant reference points and to improve the interpretability of new
datasets containing cells with signatures of reactive astrocytes.
Permanent Link: https://hdl.handle.net/11104/0342471
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