Integrated multi-omics approach revealed cellular senescence landscape.
Integrated multi-omics approach revealed cellular senescence landscape.
复制标题
综合多组学方法揭示细胞衰老景观
DOI:
10.1093/nar/gkac885
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发表时间:
2022-10-28
影响因子:
14.9
通讯作者:
Wang, Peichang
中科院分区:
文献类型:
--
作者:
Song, Qiao;Hou, Yuli;Zhang, Yiyin;Liu, Jing;Wang, Yaqi;Fu, Jingxuan;Zhang, Chi;Cao, Min;Cui, Yuting;Zhang, Xiaomin;Wang, Xiaoling;Zhang, Jingjing;Liu, Congcong;Zhang, Yingzhen;Wang, Peichang
Abstract Cellular senescence is a complex multifactorial biological phenomenon that plays essential roles in aging, and aging-related diseases. During this process, the senescent cells undergo gene expression altering and chromatin structure remodeling. However, studies on the epigenetic landscape of senescence using integrated multi-omics approaches are limited. In this research, we performed ATAC-seq, RNA-seq and ChIP-seq on different senescent types to reveal the landscape of senescence and identify the prime regulatory elements. We also obtained 34 key genes and deduced that NAT1, PBX1 and RRM2, which interacted with each other, could be the potential markers of aging and aging-related diseases. In summary, our work provides the landscape to study accessibility dynamics and transcriptional regulations in cellular senescence. The application of this technique in different types of senescence allows us to identify the regulatory elements responsible for the substantial regulation of transcription, providing the insights into molecular mechanisms of senescence.
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影响因子:
5.5
作者:
Hou Y;Song Q;Gao S;Zhang X;Wang Y;Liu J;Fu J;Cao M;Wang P
通讯作者:
Wang P
DOI:
10.1124/dmd.108.023564
发表时间:
2008-12
期刊:
Drug metabolism and disposition: the biological fate of chemicals
影响因子:
--
作者:
Barker DF;Walraven JM;Ristagno EH;Doll MA;States JC;Hein DW
通讯作者:
Hein DW
影响因子:
37.3
作者:
Berg M;Agesen TH;Thiis-Evensen E;INFAC-study group;Merok MA;Teixeira MR;Vatn MH;Nesbakken A;Skotheim RI;Lothe RA
通讯作者:
Lothe RA
影响因子:
7.7
作者:
Cruz, Cristina;Della Rosa, Monica;Houseley, Jonathan
通讯作者:
Houseley, Jonathan
影响因子:
7.8
作者:
Dang, Yao;An, Yongpan;Xie, Zhengwei
通讯作者:
Xie, Zhengwei