Single-cell transcriptomics allows novel insights into aging and circadian processes.

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Version: Final published version
License: CC BY-NC 4.0
Serval ID
serval:BIB_0223DAE8F649
Type
Article: article from journal or magazin.
Publication sub-type
Review (review): journal as complete as possible of one specific subject, written based on exhaustive analyses from published work.
Collection
Publications
Institution
Title
Single-cell transcriptomics allows novel insights into aging and circadian processes.
Journal
Briefings in functional genomics
Author(s)
Fonseca Costa S.S., Robinson-Rechavi M., Ripperger J.A.
ISSN
2041-2657 (Electronic)
ISSN-L
2041-2649
Publication state
Published
Issued date
04/12/2020
Peer-reviewed
Oui
Volume
19
Number
5-6
Pages
343-349
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't ; Review
Publication Status: ppublish
Abstract
Aging and circadian rhythms are two biological processes that affect an organism, although at different time scales. Nevertheless, due to the overlap of their actions, it was speculated that both interfere or interact with each other. However, to address this question, a much deeper insight into these processes is necessary, especially at the cellular level. New methods such as single-cell RNA-sequencing (scRNA-Seq) have the potential to close this gap in our knowledge. In this review, we analyze applications of scRNA-Seq from the aging and circadian rhythm fields and highlight new findings emerging from the analysis of single cells, especially in humans or rodents. Furthermore, we judge the potential of scRNA-Seq to identify common traits of both processes. Overall, this method offers several advantages over more traditional methods analyzing gene expression and will become an important tool to unravel the link between these biological processes.
Keywords
Aging/genetics, Aging/physiology, Circadian Rhythm/genetics, Circadian Rhythm/physiology, Humans, Melatonin/metabolism, Transcriptome/genetics, hallmarks of aging, light resetting, melatonin, mutation rate, transcriptome
Pubmed
Web of science
Open Access
Yes
Create date
10/07/2020 9:51
Last modification date
21/11/2022 9:21
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