Transcriptome-based measurement of CD8
DNA methylation
T cell aging
machine learning
somatic mutation
telomere
transcriptome
Journal
Trends in immunology
ISSN: 1471-4981
Titre abrégé: Trends Immunol
Pays: England
ID NLM: 100966032
Informations de publication
Date de publication:
07 2023
07 2023
Historique:
received:
04
04
2023
revised:
05
05
2023
accepted:
08
05
2023
pmc-release:
01
07
2024
medline:
26
6
2023
pubmed:
30
5
2023
entrez:
29
5
2023
Statut:
ppublish
Résumé
The ability of T cells to undergo robust cell division in response to antigenic stimulation is essential for competent T cell function. However, this ability is reduced with aging and contributes to increased susceptibility to infectious diseases, cancers, and other diseases among older adults. To better understand T cell aging, improved measurements of age-related cellular changes in T cells are necessary. The recent development of machine learning (ML)-assisted transcriptome-based quantification of individual CD8
Identifiants
pubmed: 37248098
pii: S1471-4906(23)00098-4
doi: 10.1016/j.it.2023.05.005
pmc: PMC10330598
mid: NIHMS1899572
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
542-550Subventions
Organisme : Intramural NIH HHS
ID : ZIA AG000756
Pays : United States
Organisme : Intramural NIH HHS
ID : ZIA AG000757
Pays : United States
Informations de copyright
Published by Elsevier Ltd.
Déclaration de conflit d'intérêts
Declaration of interests The author declares no conflicts of interest.
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