Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Effect of ARF on the transcription of p53 target genes in homologous recombination deficient cells

ABSTRACT: ARF is a tumour suppressor activated by oncogenic stress, which stabilizes p53. Although p53 is a key component of the response to DNA damage, a similar function for ARF has not been ascribed. In this work we show that homologous recombination (HR) -deficient primary mouse and human cells accumulate DNA damage, which triggers checkpoint signalling and ARF activation. We also show that in the absence of ARF p53 is induce in response to DNA damage, but surprisingly fails to trigger senescence. The hypothesis tested in this study was that ARF deficiency alters the spectrum of genes activated by p53 in response to HR deficiency. Using mRNA microarray analysis and expression profiling, we identified genes upregulated in wild type primary MEFs treated with RAD51 shRNA, whose expression was not induced in similarly treated Arf -/- primary MEFs. Clustering analysis of p53 transcriptional targets with increased expression in RAD51-depleted cells revealed three groups: genes requiring functional ARF for their expression, genes transcribed in an ARF-independent manner and genes that are upregulated in both ARF-proficient and ARF-deficient cells. Among the genes in the last group we found Cdkn1a(p21), encoding the p21 inhibitor of cyclindependent kinases and well-characterized effector of the p53 role in promoting senescence. The subset of p53 targets requiring ARF for their transcription was specifically upregulated in response to RAD51 inhibition in wild type, but not Arf -/- MEFs. Among these genes, two encoded the dual specificity phosphatase (DUSP) family members DUSP4 and DUSP7, which act as ERK phosphatases and negative regulators of the MAPK kinase pathway in mammalian cells. Four samples were analysed (WT or ARF negative cells transfected with GFP or RAD51 shRNAs) in duplicate. Samples treated with GFP shRNA are the reference samples and the ones treated with RAD51 shRNA are the experimental ones (RAD51 depletion leads to HR deficiency). The WT cell line is our control cell line to study the effect of HR deficiency on the transcription of p53 target genes

ORGANISM(S): Mus musculus

SUBMITTER: Ana Carlos

PROVIDER: E-GEOD-51354 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

ARF triggers senescence in Brca2-deficient cells by altering the spectrum of p53 transcriptional targets.

Carlos Ana Rita AR Escandell Jose Miguel JM Kotsantis Panagiotis P Suwaki Natsuko N Bouwman Peter P Badie Sophie S Folio Cecilia C Benitez Javier J Gomez-Lopez Gonzalo G Pisano David G DG Jonkers Jos J Tarsounas Madalena M

Nature communications 20130101

ARF is a tumour suppressor activated by oncogenic stress, which stabilizes p53. Although p53 is a key component of the response to DNA damage, a similar function for ARF has not been ascribed. Here we show that primary mouse and human cells lacking the tumour suppressor BRCA2 accumulate DNA damage, which triggers checkpoint signalling and ARF activation. Furthermore, senescence induced by Brca2 deletion in primary mouse and human cells is reversed by the loss of ARF, a phenotype recapitulated in ...[more]

PMID: 24162189

Similar Datasets

Project description:Proctor2008 - p53/Mdm2 circuit - p53 stabilisation by ATM This model is described in the article: Explaining oscillations and variability in the p53-Mdm2 system. Proctor CJ, Gray DA. BMC Syst Biol 2008; 2: 75 Abstract: BACKGROUND: In individual living cells p53 has been found to be expressed in a series of discrete pulses after DNA damage. Its negative regulator Mdm2 also demonstrates oscillatory behaviour. Attempts have been made recently to explain this behaviour by mathematical models but these have not addressed explicit molecular mechanisms. We describe two stochastic mechanistic models of the p53/Mdm2 circuit and show that sustained oscillations result directly from the key biological features, without assuming complicated mathematical functions or requiring more than one feedback loop. Each model examines a different mechanism for providing a negative feedback loop which results in p53 activation after DNA damage. The first model (ARF model) looks at the mechanism of p14ARF which sequesters Mdm2 and leads to stabilisation of p53. The second model (ATM model) examines the mechanism of ATM activation which leads to phosphorylation of both p53 and Mdm2 and increased degradation of Mdm2, which again results in p53 stabilisation. The models can readily be modified as further information becomes available, and linked to other models of cellular ageing. RESULTS: The ARF model is robust to changes in its parameters and predicts undamped oscillations after DNA damage so long as the signal persists. It also predicts that if there is a gradual accumulation of DNA damage, such as may occur in ageing, oscillations break out once a threshold level of damage is acquired. The ATM model requires an additional step for p53 synthesis for sustained oscillations to develop. The ATM model shows much more variability in the oscillatory behaviour and this variability is observed over a wide range of parameter values. This may account for the large variability seen in the experimental data which so far has examined ARF negative cells. CONCLUSION: The models predict more regular oscillations if ARF is present and suggest the need for further experiments in ARF positive cells to test these predictions. Our work illustrates the importance of systems biology approaches to understanding the complex role of p53 in both ageing and cancer. This model is hosted on BioModels Database and identified by: BIOMD0000000188. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Project description:Proctor2008 - p53/Mdm2 circuit - p53 stabilisation by p14ARF This model is described in the article: Explaining oscillations and variability in the p53-Mdm2 system. Proctor CJ, Gray DA. BMC Syst Biol 2008; 2: 75 Abstract: BACKGROUND: In individual living cells p53 has been found to be expressed in a series of discrete pulses after DNA damage. Its negative regulator Mdm2 also demonstrates oscillatory behaviour. Attempts have been made recently to explain this behaviour by mathematical models but these have not addressed explicit molecular mechanisms. We describe two stochastic mechanistic models of the p53/Mdm2 circuit and show that sustained oscillations result directly from the key biological features, without assuming complicated mathematical functions or requiring more than one feedback loop. Each model examines a different mechanism for providing a negative feedback loop which results in p53 activation after DNA damage. The first model (ARF model) looks at the mechanism of p14ARF which sequesters Mdm2 and leads to stabilisation of p53. The second model (ATM model) examines the mechanism of ATM activation which leads to phosphorylation of both p53 and Mdm2 and increased degradation of Mdm2, which again results in p53 stabilisation. The models can readily be modified as further information becomes available, and linked to other models of cellular ageing. RESULTS: The ARF model is robust to changes in its parameters and predicts undamped oscillations after DNA damage so long as the signal persists. It also predicts that if there is a gradual accumulation of DNA damage, such as may occur in ageing, oscillations break out once a threshold level of damage is acquired. The ATM model requires an additional step for p53 synthesis for sustained oscillations to develop. The ATM model shows much more variability in the oscillatory behaviour and this variability is observed over a wide range of parameter values. This may account for the large variability seen in the experimental data which so far has examined ARF negative cells. CONCLUSION: The models predict more regular oscillations if ARF is present and suggest the need for further experiments in ARF positive cells to test these predictions. Our work illustrates the importance of systems biology approaches to understanding the complex role of p53 in both ageing and cancer. This model is hosted on BioModels Database and identified by: BIOMD0000000188. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Dataset Information

Effect of ARF on the transcription of p53 target genes in homologous recombination deficient cells

Publications

ARF triggers senescence in Brca2-deficient cells by altering the spectrum of p53 transcriptional targets.

Similar Datasets

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