Literature DB >> 11571296

Analyses of p53 target genes in the human genome by bioinformatic and microarray approaches.

L Wang1, Q Wu, P Qiu, A Mirza, M McGuirk, P Kirschmeier, J R Greene, Y Wang, C B Pickett, S Liu.   

Abstract

The completion of the human genome sequence (International Human Genome Sequence Consortium (2001) Nature 409, 860-921; Venter, J. C., et al. (2001) Science 291, 1304-1351) allows for new ways to analyze global cellular regulatory mechanisms. Here we present a strategy to identify genes regulated by specific transcription factors in the human genome, and apply it to p53. We first collected promoters or introns of all genes available using two methods: GenBank(TM) annotation and a computationally derived transcript map. 4,852 genes analyzed in this way contained at least one p53 consensus binding sequence. Of 13 genes randomly selected for mRNA analysis, 11 were shown to respond to p53 expression. Five promoters were analyzed by chromatin immunoprecipitation, which revealed that all were bound by p53 in vivo. We then analyzed 33,615 unique human genes on cDNA microarrays, identifying 1,501 genes that respond to p53 expression. A parameter was derived that demonstrates that in silico prediction greatly enriches for genes that are activated and repressed by p53 and assists us to suggest other signaling pathways that may be connected to p53. The methods shown here illustrate a novel approach to analysis of global gene regulatory network through the integration of human genomic sequence information and genome-wide gene expression analysis.

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Year:  2001        PMID: 11571296     DOI: 10.1074/jbc.M106570200

Source DB:  PubMed          Journal:  J Biol Chem        ISSN: 0021-9258            Impact factor:   5.157


  48 in total

Review 1.  p53-dependent cell death signaling in neurons.

Authors:  Richard S Morrison; Yoshito Kinoshita; Mark D Johnson; Weiqun Guo; Gwenn A Garden
Journal:  Neurochem Res       Date:  2003-01       Impact factor: 3.996

2.  p53 is a chromatin accessibility factor for nucleotide excision repair of DNA damage.

Authors:  Carlos P Rubbi; Jo Milner
Journal:  EMBO J       Date:  2003-02-17       Impact factor: 11.598

3.  A/T gap tolerance in the core sequence and flanking sequence requirements of non-canonical p53 response elements.

Authors:  Bi-He Cai; Chung-Faye Chao; Hwang-Chi Lin; Hua-Ying Huang; Reiji Kannagi; Jang-Yi Chen
Journal:  J Biochem       Date:  2016-01-27       Impact factor: 3.387

4.  Qualitative network modeling of the Myc-p53 control system of cell proliferation and differentiation.

Authors:  Baltazar D Aguda; Yangjin Kim; Hong Sug Kim; Avner Friedman; Howard A Fine
Journal:  Biophys J       Date:  2011-11-01       Impact factor: 4.033

5.  p53 targets identified by protein expression profiling.

Authors:  Rubaiyat Rahman-Roblick; Uwe Johannes Roblick; Ulf Hellman; Paolo Conrotto; Tao Liu; Susanne Becker; Daniel Hirschberg; Hans Jörnvall; Gert Auer; Klas G Wiman
Journal:  Proc Natl Acad Sci U S A       Date:  2007-03-19       Impact factor: 11.205

6.  Primary and compensatory roles for RB family members at cell cycle gene promoters that are deacetylated and downregulated in doxorubicin-induced senescence of breast cancer cells.

Authors:  James G Jackson; Olivia M Pereira-Smith
Journal:  Mol Cell Biol       Date:  2006-04       Impact factor: 4.272

Review 7.  Role of p53 and Rb in ovarian cancer.

Authors:  David C Corney; Andrea Flesken-Nikitin; Jinhyang Choi; Alexander Yu Nikitin
Journal:  Adv Exp Med Biol       Date:  2008       Impact factor: 2.622

8.  Mapping the p53 transcriptome universe using p53 natural polymorphs.

Authors:  B Wang; D Niu; T H Lam; Z Xiao; E C Ren
Journal:  Cell Death Differ       Date:  2013-09-27       Impact factor: 15.828

9.  Transcription factor interactions and chromatin modifications associated with p53-mediated, developmental repression of the alpha-fetoprotein gene.

Authors:  Thi T Nguyen; Kyucheol Cho; Sabrina A Stratton; Michelle Craig Barton
Journal:  Mol Cell Biol       Date:  2005-03       Impact factor: 4.272

10.  The tumor suppressor p53 transcriptionally regulates cGKI expression during neuronal maturation and is required for cGMP-dependent growth cone collapse.

Authors:  Andrea Tedeschi; Tuan Nguyen; Sonya Ulrike Steele; Susanne Feil; Ulrike Naumann; Robert Feil; Simone Di Giovanni
Journal:  J Neurosci       Date:  2009-12-02       Impact factor: 6.167

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