Literature DB >> 19047144

Chromatin immunoprecipitation-on-chip reveals stress-dependent p53 occupancy in primary normal cells but not in established cell lines.

Helena Shaked1, Idit Shiff, Miriam Kott-Gutkowski, Zahava Siegfried, Ygal Haupt, Itamar Simon.   

Abstract

The p53 tumor suppressor protein is a transcription factor that plays a key role in the cellular response to stress and cancer prevention. Upon activation, p53 regulates a large variety of genes causing cell cycle arrest, apoptosis, or senescence. We have developed a p53-focused array, which allows us to investigate, simultaneously, p53 interactions with most of its known target sequences using the chromatin immunoprecipitation (ChIP)-on-chip methodology. Applying this technique to multiple cell types under various growth conditions revealed a profound difference in p53 activity between primary cells and established cell lines. We found that, in peripheral blood mononuclear cells, p53 exists in a form that binds only a small subset of its target regions. Upon exposure to genotoxic stress, the extent of targets bound by p53 significantly increased. By contrast, in established cell lines, p53 binds to essentially all of its targets irrespective of stress and cellular fate (apoptosis or arrest). Analysis of gene expression in these established lines revealed little correlation between DNA binding and the induction of gene expression. Our results suggest that nonactivated p53 has limited binding activity, whereas upon activation it binds to essentially all its targets. Additional triggers are most likely required to activate the transcriptional program of p53.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 19047144     DOI: 10.1158/0008-5472.CAN-08-0865

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  29 in total

1.  Chromatin dynamics of gene activation and repression in response to interferon alpha (IFN(alpha)) reveal new roles for phosphorylated and unphosphorylated forms of the transcription factor STAT2.

Authors:  Barbara Testoni; Christine Völlenkle; Francesca Guerrieri; Sabine Gerbal-Chaloin; Giovanni Blandino; Massimo Levrero
Journal:  J Biol Chem       Date:  2011-04-15       Impact factor: 5.157

2.  The effect of non-coding DNA variations on P53 and cMYC competitive inhibition at cis-overlapping motifs.

Authors:  Katherine Kin; Xi Chen; Manuel Gonzalez-Garay; Walid D Fakhouri
Journal:  Hum Mol Genet       Date:  2016-02-07       Impact factor: 6.150

3.  DECOD: fast and accurate discriminative DNA motif finding.

Authors:  Peter Huggins; Shan Zhong; Idit Shiff; Rachel Beckerman; Oleg Laptenko; Carol Prives; Marcel H Schulz; Itamar Simon; Ziv Bar-Joseph
Journal:  Bioinformatics       Date:  2011-07-12       Impact factor: 6.937

Review 4.  Transcriptional regulation by p53.

Authors:  Rachel Beckerman; Carol Prives
Journal:  Cold Spring Harb Perspect Biol       Date:  2010-04-28       Impact factor: 10.005

Review 5.  Genome-wide studies of the transcriptional regulation by p53.

Authors:  Mangmang Li; Yunlong He; Xi Feng; Jing Huang
Journal:  Biochim Biophys Acta       Date:  2012-02-10

6.  A comprehensive and high-resolution genome-wide response of p53 to stress.

Authors:  Gue Su Chang; Xiangyun Amy Chen; Bongsoo Park; Ho Sung Rhee; Pingxin Li; Kang Hoo Han; Tejaswini Mishra; Ka Yim Chan-Salis; Yunfei Li; Ross C Hardison; Yanming Wang; B Franklin Pugh
Journal:  Cell Rep       Date:  2014-07-17       Impact factor: 9.423

7.  Distinct p53 genomic binding patterns in normal and cancer-derived human cells.

Authors:  Krassimira Botcheva; Sean R McCorkle; W R McCombie; John J Dunn; Carl W Anderson
Journal:  Cell Cycle       Date:  2011-12-15       Impact factor: 4.534

Review 8.  New insights into p53 activation.

Authors:  Christopher L Brooks; Wei Gu
Journal:  Cell Res       Date:  2010-04-20       Impact factor: 25.617

Review 9.  The expanding universe of p53 targets.

Authors:  Daniel Menendez; Alberto Inga; Michael A Resnick
Journal:  Nat Rev Cancer       Date:  2009-10       Impact factor: 60.716

Review 10.  Mechanisms of transcription factor selectivity.

Authors:  Yongping Pan; Chung-Jung Tsai; Buyong Ma; Ruth Nussinov
Journal:  Trends Genet       Date:  2010-01-13       Impact factor: 11.639

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.