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      The p53-p21-DREAM-CDE/CHR pathway regulates G 2/M cell cycle genes

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          Abstract

          The tumor suppressor p53 functions predominantly as a transcription factor by activating and downregulating gene expression, leading to cell cycle arrest or apoptosis. p53 was shown to indirectly repress transcription of the CCNB2, KIF23 and PLK4 cell cycle genes through the recently discovered p53-p21-DREAM-CDE/CHR pathway. However, it remained unclear whether this pathway is commonly used. Here, we identify genes regulated by p53 through this pathway in a genome-wide computational approach. The bioinformatic analysis is based on genome-wide DREAM complex binding data, p53-depedent mRNA expression data and a genome-wide definition of phylogenetically conserved CHR promoter elements. We find 210 target genes that are expected to be regulated by the p53-p21-DREAM-CDE/CHR pathway. The target gene list was verified by detailed analysis of p53-dependent repression of the cell cycle genes B-MYB ( MYBL2), BUB1, CCNA2, CCNB1, CHEK2, MELK, POLD1, RAD18 and RAD54L. Most of the 210 target genes are essential regulators of G 2 phase and mitosis. Thus, downregulation of these genes through the p53-p21-DREAM-CDE/CHR pathway appears to be a principal mechanism for G 2/M cell cycle arrest by p53.

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          The first 30 years of p53: growing ever more complex.

          Thirty years ago p53 was discovered as a cellular partner of simian virus 40 large T-antigen, the oncoprotein of this tumour virus. The first decade of p53 research saw the cloning of p53 DNA and the realization that p53 is not an oncogene but a tumour suppressor that is very frequently mutated in human cancer. In the second decade of research, the function of p53 was uncovered: it is a transcription factor induced by stress, which can promote cell cycle arrest, apoptosis and senescence. In the third decade after its discovery new functions of this protein were revealed, including the regulation of metabolic pathways and cytokines that are required for embryo implantation. The fourth decade of research may see new p53-based drugs to treat cancer. What is next is anybody's guess.
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            p21 is necessary for the p53-mediated G1 arrest in human cancer cells.

            DNA-damaging agents induce a p53-dependent G1 arrest that may be critical for p53-mediated tumor suppression. It has been suggested that p21WAF1/CIP1, a cdk inhibitory protein transcriptionally regulated by p53, is an effector of this arrest. To test this hypothesis, an isogenic set of human colon adenocarcinoma cell lines differing only in their p21 status was created. The parental cell line underwent the expected cell cycle changes upon induction of p53 expression by DNA damage, but the G1 arrest was completely abrogated in p21-deficient cells. These results unambiguously establish p21 as a critical mediator of one well-documented p53 function and have important implications for understanding cell cycle checkpoints and the mechanism(s) through which p53 inhibits human neoplasia.
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              Interpreting cancer genomes using systematic host perturbations by tumour virus proteins

              Genotypic differences greatly influence susceptibility and resistance to disease. Understanding genotype-phenotype relationships requires that phenotypes be viewed as manifestations of network properties, rather than simply as the result of individual genomic variations 1 . Genome sequencing efforts have identified numerous germline mutations associated with cancer predisposition and large numbers of somatic genomic alterations 2 . However, it remains challenging to distinguish between background, or “passenger” and causal, or “driver” cancer mutations in these datasets. Human viruses intrinsically depend on their host cell during the course of infection and can elicit pathological phenotypes similar to those arising from mutations 3 . To test the hypothesis that genomic variations and tumour viruses may cause cancer via related mechanisms, we systematically examined host interactome and transcriptome network perturbations caused by DNA tumour virus proteins. The resulting integrated viral perturbation data reflects rewiring of the host cell networks, and highlights pathways that go awry in cancer, such as Notch signalling and apoptosis. We show that systematic analyses of host targets of viral proteins can identify cancer genes with a success rate on par with their identification through functional genomics and large-scale cataloguing of tumour mutations. Together, these complementary approaches result in increased specificity for cancer gene identification. Combining systems-level studies of pathogen-encoded gene products with genomic approaches will facilitate prioritization of cancer-causing driver genes so as to advance understanding of the genetic basis of human cancer.
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                Author and article information

                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                08 January 2016
                17 September 2015
                17 September 2015
                : 44
                : 1
                : 164-174
                Affiliations
                [1 ]Molecular Oncology, Medical School, University of Leipzig, Leipzig, Germany
                [2 ]Centre for Complexity & Collective Computation, Wisconsin Institute for Discovery, Madison, WI, USA
                [3 ]Computational EvoDevo Group & Bioinformatics Group, Department of Computer Science, and Interdisciplinary Centre for Bioinformatics, University of Leipzig, Leipzig, Germany
                Author notes
                [* ]To whom correspondence should be addressed. Tel: +49 341 9725900; Fax: +49 341 9723475; Email: engeland@ 123456medizin.uni-leipzig.de
                Article
                10.1093/nar/gkv927
                4705690
                26384566
                c0b5ed9a-238c-4e1b-99e7-d9d4d0d8778f
                © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 08 September 2015
                : 06 September 2015
                : 18 May 2015
                Page count
                Pages: 11
                Categories
                Gene regulation, Chromatin and Epigenetics
                Custom metadata
                08 January 2016

                Genetics
                Genetics

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