Literature DB >> 12782583

Impact of p53 knockout and topotecan treatment on gene expression profiles in human colon carcinoma cells: a pharmacogenomic study.

Sayed S Daoud1, Peter J Munson, William Reinhold, Lynn Young, Vinay V Prabhu, Qiang Yu, Jihyun LaRose, Kurt W Kohn, John N Weinstein, Yves Pommier.   

Abstract

To uncover transcriptional stress responses related to p53, we used cDNA microarrays (National Cancer Institute Oncochips comprising 6500 different genes) to characterize the gene expression profiles of wild-type p53 HCT-116 cells and an isogenic p53 knockout counterpart after treatment with topotecan, a specific topoisomerase I inhibitor. The use of the p53 knockout cells had the advantage over p53-overexpressing systems in that p53 activation is mediated physiologically. RNA was extracted after low (0.1 microM)- and high (1 microM)-dose topotecan at multiple time points within the first 6 h of treatment. To facilitate simultaneous study of the p53 status and pharmacological effects on gene expression, we developed a novel "cross-referenced network" experimental design and used multiple linear least squares fitting to optimize estimates of relative transcript levels in the network of experimental conditions. Approximately 10% of the transcripts were up- or down-regulated in response to topotecan in the p53+/+ cells, whereas only 1% of the transcripts changed in the p53-/- cells, indicating that p53 has a broad effect on the transcriptional response to this stress. Individual transcripts and their relationships were analyzed using clustered image maps and by a novel two-dimensional analysis/visualization, gene expression map, in which each gene expression level is represented as a function of both the genotypic/phenotypic difference (i.e., p53 status) and the treatment effect (i.e., of topotecan dose and time of exposure). Overall, drug-induced p53 activation was associated with a coherent genetic program leading to cell cycle arrest and apoptosis. We identified novel p53-induced and DNA damage-induced genes (the proapoptotic SIVA gene and a set of transforming growth factor beta-related genes). Genes induced independently of p53 included the antiapoptotic cFLIP gene and known stress genes related to the mitogen-activated protein kinase pathway and the Fos/Jun pathway. Genes that were negatively regulated by p53 included members of the antiapoptotic protein chaperone heat shock protein 70 family. Finally, among the p53-dependent genes whose expression was independent of drug treatment was S100A4, a small Ca(2+)-binding protein that has recently been implicated in p53 binding and regulation. The new experimental design and gene expression map analysis introduced here are applicable to a wide range of studies that encompass both treatment effects and genotypic or phenotypic differences.

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Year:  2003        PMID: 12782583

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


  25 in total

Review 1.  Multifaceted functions of Siva-1: more than an Indian God of Destruction.

Authors:  Yide Mei; Mian Wu
Journal:  Protein Cell       Date:  2012-03-17       Impact factor: 14.870

Review 2.  Suppression of tumor and metastasis progression through the scaffolding functions of SSeCKS/Gravin/AKAP12.

Authors:  Irwin H Gelman
Journal:  Cancer Metastasis Rev       Date:  2012-12       Impact factor: 9.264

3.  Oxidative stress-induced expression and modulation of Phosphatase of Regenerating Liver-1 (PRL-1) in mammalian retina.

Authors:  Ling Yu; Una Kelly; Jessica N Ebright; Goldis Malek; Peter Saloupis; Dennis W Rickman; Brian S McKay; Vadim Y Arshavsky; Catherine Bowes Rickman
Journal:  Biochim Biophys Acta       Date:  2007-06-26

Review 4.  Repair of topoisomerase I-mediated DNA damage.

Authors:  Yves Pommier; Juana M Barcelo; V Ashutosh Rao; Olivier Sordet; Andrew G Jobson; Laurent Thibaut; Ze-Hong Miao; Jennifer A Seiler; Hongliang Zhang; Christophe Marchand; Keli Agama; John L Nitiss; Christophe Redon
Journal:  Prog Nucleic Acid Res Mol Biol       Date:  2006

5.  In vivo topoisomerase I inhibition attenuates the expression of hypoxia-inducible factor 1α target genes and decreases tumor angiogenesis.

Authors:  Eric Guérin; Wolfgang Raffelsberger; Erwan Pencreach; Armin Maier; Agnès Neuville; Anne Schneider; Philippe Bachellier; Serge Rohr; Amélie Petitprez; Olivier Poch; Dino Moras; Pierre Oudet; Annette K Larsen; Marie-Pierre Gaub; Dominique Guenot
Journal:  Mol Med       Date:  2012-02-10       Impact factor: 6.354

6.  MutEx: a multifaceted gateway for exploring integrative pan-cancer genomic data.

Authors:  Jie Ping; Olufunmilola Oyebamiji; Hui Yu; Scott Ness; Jeremy Chien; Fei Ye; Huining Kang; David Samuels; Sergey Ivanov; Danqian Chen; Ying-Yong Zhao; Yan Guo
Journal:  Brief Bioinform       Date:  2020-07-15       Impact factor: 11.622

7.  DNA topoisomerase I is a cofactor for c-Jun in the regulation of epidermal growth factor receptor expression and cancer cell proliferation.

Authors:  Antoine Mialon; Matti Sankinen; Henrik Söderström; Teemu T Junttila; Tim Holmström; Riku Koivusalo; Anastassios C Papageorgiou; Randall S Johnson; Sakari Hietanen; Klaus Elenius; Jukka Westermarck
Journal:  Mol Cell Biol       Date:  2005-06       Impact factor: 4.272

8.  Transcriptome analysis of Aspergillus nidulans exposed to camptothecin-induced DNA damage.

Authors:  Iran Malavazi; Marcela Savoldi; Sônia Marli Zingaretti Di Mauro; Carlos Frederico Martins Menck; Steven D Harris; Maria Helena de Souza Goldman; Gustavo Henrique Goldman
Journal:  Eukaryot Cell       Date:  2006-10

9.  The lysophosphatidic acid 2 receptor mediates down-regulation of Siva-1 to promote cell survival.

Authors:  Fang-Tsyr Lin; Yun-Ju Lai; Natalia Makarova; Gabor Tigyi; Weei-Chin Lin
Journal:  J Biol Chem       Date:  2007-10-26       Impact factor: 5.157

10.  Quantitative proteomics analysis of the effects of ionizing radiation in wild type and p53 K317R knock-in mouse thymocytes.

Authors:  Lisa M Miller Jenkins; Sharlyn J Mazur; Matteo Rossi; Olga Gaidarenko; Yang Xu; Ettore Appella
Journal:  Mol Cell Proteomics       Date:  2008-01-04       Impact factor: 5.911

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