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

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 der...

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Detalles Bibliográficos
Autores principales: Ge, Ming-Xia, Yu, Qin, Li, Gong-Hua, Yang, Li-Qin, He, Yonghan, Li, Ji, Kong, Qing-Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9379982/
https://www.ncbi.nlm.nih.gov/pubmed/36016715
http://dx.doi.org/10.1016/j.csbj.2022.08.005
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author Ge, Ming-Xia
Yu, Qin
Li, Gong-Hua
Yang, Li-Qin
He, Yonghan
Li, Ji
Kong, Qing-Peng
author_facet Ge, Ming-Xia
Yu, Qin
Li, Gong-Hua
Yang, Li-Qin
He, Yonghan
Li, Ji
Kong, Qing-Peng
author_sort Ge, Ming-Xia
collection PubMed
description 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.
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spelling pubmed-93799822022-08-24 Multiple time-series expression trajectories imply dynamic functional changes during cellular senescence Ge, Ming-Xia Yu, Qin Li, Gong-Hua Yang, Li-Qin He, Yonghan Li, Ji Kong, Qing-Peng Comput Struct Biotechnol J Research Article 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. Research Network of Computational and Structural Biotechnology 2022-08-05 /pmc/articles/PMC9379982/ /pubmed/36016715 http://dx.doi.org/10.1016/j.csbj.2022.08.005 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Ge, Ming-Xia
Yu, Qin
Li, Gong-Hua
Yang, Li-Qin
He, Yonghan
Li, Ji
Kong, Qing-Peng
Multiple time-series expression trajectories imply dynamic functional changes during cellular senescence
title Multiple time-series expression trajectories imply dynamic functional changes during cellular senescence
title_full Multiple time-series expression trajectories imply dynamic functional changes during cellular senescence
title_fullStr Multiple time-series expression trajectories imply dynamic functional changes during cellular senescence
title_full_unstemmed Multiple time-series expression trajectories imply dynamic functional changes during cellular senescence
title_short Multiple time-series expression trajectories imply dynamic functional changes during cellular senescence
title_sort multiple time-series expression trajectories imply dynamic functional changes during cellular senescence
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9379982/
https://www.ncbi.nlm.nih.gov/pubmed/36016715
http://dx.doi.org/10.1016/j.csbj.2022.08.005
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