Literature DB >> 30391675

Pan-senescence transcriptome analysis identified RRAD as a marker and negative regulator of cellular senescence.

Zhao Wei1, Haiyang Guo2, Junchao Qin3, Shihua Lu3, Qiao Liu3, Xiyu Zhang3, Yongxin Zou3, Yaoqin Gong3, Changshun Shao4.   

Abstract

Cellular senescence, an irreversible proliferative arrest, functions in tissue remodeling during development and is implicated in multiple aging-associated diseases. While senescent cells often manifest an array of senescence-associated phenotypes, such as cell cycle arrest, altered heterochromatin architecture, reprogrammed metabolism and senescence-associated secretory phenotype (SASP), the identification of senescence cells has been hindered by lack of specific and universal biomarkers. To systematically identify universal biomarkers of cellular senescence, we integrated multiple transcriptome data sets of senescent cells obtained through different in vitro manipulation modes as well as age-related gene expression data of human tissues. Our analysis showed that RRAD (Ras-related associated with diabetes) expression is up-regulated in all the manipulation modes and increases with age in human skin and adipose tissues. The elevated RRAD expression was then confirmed in senescent human fibroblasts that were induced by Ras, H2O2, ionizing radiation, hydroxyurea, etoposide and replicative passage, respectively. Further functional study suggests that RRAD up-regulation acts as a negative feedback mechanism to counter cellular senescence by reducing the level of reactive oxygen species. Finally, we found both p53 and NF-κB bind to RRAD genomic regions and modulate RRAD transcription. This study established RRAD to be a biomarker as well as a novel negative regulator of cellular senescence.
Copyright © 2018 Elsevier Inc. All rights reserved.

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Year:  2018        PMID: 30391675     DOI: 10.1016/j.freeradbiomed.2018.10.457

Source DB:  PubMed          Journal:  Free Radic Biol Med        ISSN: 0891-5849            Impact factor:   7.376


  9 in total

1.  Characterization of cellular senescence in aging skeletal muscle.

Authors:  Xu Zhang; Leena Habiballa; Zaira Aversa; Yan Er Ng; Ayumi E Sakamoto; Davis A Englund; Vesselina M Pearsall; Thomas A White; Matthew M Robinson; Donato A Rivas; Surendra Dasari; Adam J Hruby; Anthony B Lagnado; Sarah K Jachim; Antoneta Granic; Avan A Sayer; Diana Jurk; Ian R Lanza; Sundeep Khosla; Roger A Fielding; K Sreekumaran Nair; Marissa J Schafer; João F Passos; Nathan K LeBrasseur
Journal:  Nat Aging       Date:  2022-07-15

2.  Senescent cells limit p53 activity via multiple mechanisms to remain viable.

Authors:  Ines Sturmlechner; Chance C Sine; Karthik B Jeganathan; Cheng Zhang; Raul O Fierro Velasco; Darren J Baker; Hu Li; Jan M van Deursen
Journal:  Nat Commun       Date:  2022-06-28       Impact factor: 17.694

3.  Histone deacetylase 4 reverses cellular senescence via DDIT4 in dermal fibroblasts.

Authors:  Yuri Lee; Min Ji Song; Ji Hwan Park; Mi Hee Shin; Min-Kyoung Kim; Daehee Hwang; Dong Hun Lee; Jin Ho Chung
Journal:  Aging (Albany NY)       Date:  2022-06-09       Impact factor: 5.955

4.  A Tale of Two Loads: Modulation of IL-1 Induced Inflammatory Responses of Meniscal Cells in Two Models of Dynamic Physiologic Loading.

Authors:  Benjamin D Andress; Rebecca M Irwin; Ishaan Puranam; Brenton D Hoffman; Amy L McNulty
Journal:  Front Bioeng Biotechnol       Date:  2022-03-01

5.  Transcriptomic analysis reveals crucial regulatory roles of immediate-early response genes and related signaling pathways in coronavirus infectious bronchitis virus infection.

Authors:  Li Xia Yuan; Bei Yang; To Sing Fung; Rui Ai Chen; Ding Xiang Liu
Journal:  Virology       Date:  2022-08-14       Impact factor: 3.513

6.  Senescent thyroid tumor cells promote their migration by inducing the polarization of M2-like macrophages.

Authors:  C Zhang; X Gu; M Pan; Q Yuan; H Cheng
Journal:  Clin Transl Oncol       Date:  2021-01-03       Impact factor: 3.405

Review 7.  Vascular Endothelial Senescence: Pathobiological Insights, Emerging Long Noncoding RNA Targets, Challenges and Therapeutic Opportunities.

Authors:  Xinghui Sun; Mark W Feinberg
Journal:  Front Physiol       Date:  2021-06-16       Impact factor: 4.566

8.  Transcriptome Profiling Reveals CD73 and Age-Driven Changes in Neutrophil Responses against Streptococcus pneumoniae.

Authors:  Manmeet Bhalla; Lauren R Heinzinger; Olanrewaju B Morenikeji; Brandon Marzullo; Bolaji N Thomas; Elsa N Bou Ghanem
Journal:  Infect Immun       Date:  2021-07-26       Impact factor: 3.609

9.  Growth factors-based platelet lysate rejuvenates skin against ageing through NF-κB signalling pathway: In vitro and in vivo mechanistic and clinical studies.

Authors:  Ting Li; Haishan Lu; Li Zhou; Ming Jia; Lei Zhang; Huiling Wu; Letian Shan
Journal:  Cell Prolif       Date:  2022-03-11       Impact factor: 8.755

  9 in total

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