Back to Search Start Over

Multiple time-series expression trajectories imply dynamic functional changes during cellular senescence.

Authors :
Ge MX
Yu Q
Li GH
Yang LQ
He Y
Li J
Kong QP
Source :
Computational and structural biotechnology journal [Comput Struct Biotechnol J] 2022 Aug 05; Vol. 20, pp. 4131-4137. Date of Electronic Publication: 2022 Aug 05 (Print Publication: 2022).
Publication Year :
2022

Abstract

Cellular senescence is a dynamic process driven by epigenetic and genetic changes. Although some transcriptomic signatures of senescent cells have been discovered, how these senescence-related signals change over time remains largely unclear. Here, we profiled the transcriptome dynamics of human dermal fibroblast (HDF) cells in successive stages of growth from proliferation to senescence. Based on time-series expression profile analysis, we discovered four trajectories (C1, C2, C3, C4) that are dynamically expressed as senescence progresses. While some genes were continuously up-regulated (C4) or down-regulated (C2) with aging, other genes did not change linearly with cell proliferation, but remained stable until entering the senescent state (C1, C3). Further analysis revealed that the four modes were enriched in different biological pathways, including regulation of cellular senescence. These findings provide a new perspective on understanding the dynamic regulatory mechanism of cellular senescence.<br />Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (© 2022 The Authors.)

Details

Language :
English
ISSN :
2001-0370
Volume :
20
Database :
MEDLINE
Journal :
Computational and structural biotechnology journal
Publication Type :
Academic Journal
Accession number :
36016715
Full Text :
https://doi.org/10.1016/j.csbj.2022.08.005