Literature DB >> 12438652

Gene expression profiling of isogenic cells with different TP53 gene dosage reveals numerous genes that are affected by TP53 dosage and identifies CSPG2 as a direct target of p53.

Heejei Yoon1, Sandya Liyanarachchi, Fred A Wright, Ramana Davuluri, Janet C Lockman, Albert de la Chapelle, Natalia S Pellegata.   

Abstract

TP53 does not fully comply with the Knudson model [Knudson, A. G., Jr. (1971) Proc. Natl. Acad. Sci. USA 68, 820-823] in that a reduction of constitutional expression of p53 may be sufficient for tumor predisposition. This finding suggests a gene-dosage effect for p53 function. To determine whether TP53 gene dosage affects the transcriptional regulation of target genes, we performed oligonucleotide-array gene expression analysis by using human cells with wild-type p53 (p53 +/+), or with one (p53 +/-), or both (p53 -/-) TP53 alleles disrupted by homologous recombination. We identified 35 genes whose expression is significantly correlated to the dosage of TP53. These genes are involved in a variety of cellular processes including signal transduction, cell adhesion, and transcription regulation. Several of them are involved in neurogenesis and neural crest migration, developmental processes in which p53 is known to play a role. Motif search analysis revealed that of the genes highly expressed in p53 +/+ and +/- cells, several contain a putative p53 consensus binding site (bs), suggesting that they could be directly regulated by p53. Among those genes, we chose CSPG2 (which encodes versican) for further study because it contains a bona fide p53 bs in its first intron and its expression highly correlates with TP53 dosage. By using in vitro and in vivo assays, we showed CSPG2 to be directly transactivated by p53. In conclusion, we developed a strategy to demonstrate that many genes are affected by TP53 gene dosage for their expression. We report several candidate genes as potential downstream targets of p53 in nonstressed cells. Among them, CSPG2 is validated as being directly transactivated by p53. Our method provides a useful tool to elucidate additional mechanisms by which p53 exerts its functions.

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Year:  2002        PMID: 12438652      PMCID: PMC137768          DOI: 10.1073/pnas.242597299

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  39 in total

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Journal:  Nat Genet       Date:  1992-04       Impact factor: 38.330

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Authors:  T Juven; Y Barak; A Zauberman; D L George; M Oren
Journal:  Oncogene       Date:  1993-12       Impact factor: 9.867

3.  WAF1, a potential mediator of p53 tumor suppression.

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Journal:  Cell       Date:  1993-11-19       Impact factor: 41.582

4.  Identification of differentially methylated sequences in colorectal cancer by methylated CpG island amplification.

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Journal:  Cancer Res       Date:  1999-05-15       Impact factor: 12.701

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Journal:  Proc Natl Acad Sci U S A       Date:  1998-12-08       Impact factor: 11.205

6.  Disruption of p53 function sensitizes breast cancer MCF-7 cells to cisplatin and pentoxifylline.

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Journal:  Cancer Res       Date:  1995-04-15       Impact factor: 12.701

7.  Crystal structure of a p53 tumor suppressor-DNA complex: understanding tumorigenic mutations.

Authors:  Y Cho; S Gorina; P D Jeffrey; N P Pavletich
Journal:  Science       Date:  1994-07-15       Impact factor: 47.728

8.  Elevated stromal chondroitin sulfate glycosaminoglycan predicts progression in early-stage prostate cancer.

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Authors:  N S Pellegata; J F Cajot; E J Stanbridge
Journal:  Oncogene       Date:  1995-07-20       Impact factor: 9.867

10.  Characterization of the complete genomic structure of the human versican gene and functional analysis of its promoter.

Authors:  M F Naso; D R Zimmermann; R V Iozzo
Journal:  J Biol Chem       Date:  1994-12-30       Impact factor: 5.157

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  27 in total

1.  RhoGDI2 suppresses lung metastasis in mice by reducing tumor versican expression and macrophage infiltration.

Authors:  Neveen Said; Marta Sanchez-Carbayo; Steven C Smith; Dan Theodorescu
Journal:  J Clin Invest       Date:  2012-03-12       Impact factor: 14.808

2.  Functional mutants of the sequence-specific transcription factor p53 and implications for master genes of diversity.

Authors:  Michael A Resnick; Alberto Inga
Journal:  Proc Natl Acad Sci U S A       Date:  2003-08-08       Impact factor: 11.205

3.  Coexpression analysis of human genes across many microarray data sets.

Authors:  Homin K Lee; Amy K Hsu; Jon Sajdak; Jie Qin; Paul Pavlidis
Journal:  Genome Res       Date:  2004-06       Impact factor: 9.043

4.  A global genomic view on LNX siRNA-mediated cell cycle arrest.

Authors:  Dan Zheng; Shaohua Gu; Yao Li; Chaoneng Ji; Yi Xie; Yumin Mao
Journal:  Mol Biol Rep       Date:  2010-11-21       Impact factor: 2.316

Review 5.  Genotype phenotype correlation in Li-Fraumeni syndrome kindreds and its implications for management.

Authors:  R N Moule; S G Jhavar; R A Eeles
Journal:  Fam Cancer       Date:  2006       Impact factor: 2.375

6.  miR-380-5p represses p53 to control cellular survival and is associated with poor outcome in MYCN-amplified neuroblastoma.

Authors:  Alexander Swarbrick; Susan L Woods; Alexander Shaw; Asha Balakrishnan; Yuwei Phua; Akira Nguyen; Yvan Chanthery; Lionel Lim; Lesley J Ashton; Robert L Judson; Noelle Huskey; Robert Blelloch; Michelle Haber; Murray D Norris; Peter Lengyel; Christopher S Hackett; Thomas Preiss; Albert Chetcuti; Christopher S Sullivan; Eric G Marcusson; William Weiss; Noelle L'Etoile; Andrei Goga
Journal:  Nat Med       Date:  2010-09-26       Impact factor: 53.440

7.  Analysis of the transcriptome of group A Streptococcus in mouse soft tissue infection.

Authors:  Morag R Graham; Kimmo Virtaneva; Stephen F Porcella; Donald J Gardner; R Daniel Long; Diane M Welty; William T Barry; Claire A Johnson; Larye D Parkins; Fred A Wright; James M Musser
Journal:  Am J Pathol       Date:  2006-09       Impact factor: 4.307

8.  The Influence of Microdeletions and Microduplications of 16p11.2 on Global Transcription Profiles.

Authors:  Mary Kusenda; Vladimir Vacic; Dheeraj Malhotra; Linda Rodgers; Kevin Pavon; Jennifer Meth; Ravinesh A Kumar; Susan L Christian; Hilde Peeters; Shawn S Cho; Anjene Addington; Judith L Rapoport; Jonathan Sebat
Journal:  J Child Neurol       Date:  2015-09-20       Impact factor: 1.987

9.  Genome3D: a viewer-model framework for integrating and visualizing multi-scale epigenomic information within a three-dimensional genome.

Authors:  Thomas M Asbury; Matt Mitman; Jijun Tang; W Jim Zheng
Journal:  BMC Bioinformatics       Date:  2010-09-02       Impact factor: 3.169

10.  Versican expression in pharyngeal squamous cell carcinoma: an immunohistochemical study.

Authors:  M J Pukkila; A S T Kosunen; J A Virtaniemi; E J Kumpulainen; R T Johansson; J K Kellokoski; J Nuutinen; V-M Kosma
Journal:  J Clin Pathol       Date:  2004-07       Impact factor: 3.411

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