| 论文题目: | Multiple Time-series Expression Trajectories Imply Dynamic Functional Changes during Cellular Senescence |
| 作者: | Ming-Xia Ge, Qin Yu, Gong-Hua Li, Li-Qin Yang, Yonghan He, Qing-Peng Kong |
| 联系作者: | kongqp@mail.kiz.ac.cn |
| 发表年度: | 2022 |
| DOI: | doi: 10.1016/j.csbj.2022.08.005 |
| 摘要: | 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 |
| 刊物名称: | Computational and Structural Biotechnology Journal |
| 论文出处: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9379982/ |
| 影响因子: | 6.155(2021IF) |
