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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2022
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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. |
format | Online Article Text |
id | pubmed-9379982 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Research Network of Computational and Structural Biotechnology |
record_format | MEDLINE/PubMed |
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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