4.6 Review

Emerging role of NF-κB signaling in the induction of senescence-associated secretory phenotype (SASP)

期刊

CELLULAR SIGNALLING
卷 24, 期 4, 页码 835-845

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.cellsig.2011.12.006

关键词

Aging; Cellular senescence; NF-kappa B; NEMO; SASP

资金

  1. Academy of Finland
  2. University of Eastern Finland, Kuopio, Finland

向作者/读者索取更多资源

The major hallmark of cellular senescence is an irreversible cell cycle arrest and thus it is a potent tumor suppressor mechanism. Genotoxic insults, e.g. oxidative stress, are important inducers of the senescent phenotype which is characterized by an accumulation of senescence-associated heterochromatic foci (SAHF) and DNA segments with chromatin alterations reinforcing senescence (DNA-SCARS). Interestingly, senescent cells secrete proinflammatory factors and thus the condition has been called the senescence-associated secretory phenotype (SASP). Emerging data has revealed that NF-kappa B signaling is the major signaling pathway which stimulates the appearance of SASP. It is known that DNA damage provokes NF-kappa B signaling via a variety of signaling complexes containing NEMO protein, an NF-kappa B essential modifier, as well as via the activation of signaling pathways of p38MAPK and RIG-1, retinoic acid inducible gene-1. Genomic instability evoked by cellular stress triggers epigenetic changes, e.g. release of HMGB1 proteins which are also potent enhancers of inflammatory responses. Moreover, environmental stress and chronic inflammation can stimulate p38MAPK and ceramide signaling and induce cellular senescence with pro-inflammatory responses. On the other hand, two cyclin-dependent kinase inhibitors, p16INK4a and p14ARF, are effective inhibitors of NF-kappa B signaling. We will review in detail the signaling pathways which activate NF-kappa B signaling and trigger SASP in senescent cells. (C) 2011 Elsevier Inc. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据