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Transcriptome of MEFs with BMP2 and DNA damage reagents

ABSTRACT: The tightly controlled BMP-Smad1 pathway is essential for embryonic development and postnatal tissue homeostasis. Dysfunction of BMP-Smad1 signaling also leads to tumor development such as juvenile polyposis and Cowden syndromes and various tumors in mouse models, with unknown pathological mechanisms. Here we establish a link between the BMP-Smad pathway and the prominent tumor suppressor Atm-p53 pathway. We identify activated nuclear Smad1 as an Atm substrate under genotoxic stress. Atm-mediated Smad1 S239 phosphorylation disrupts Smad1 interaction with protein phosphatase PPM1A and enhances Smad1 activation and up-regulation, which not only turns on target genes including Cdk1nc but also interacts with p53 and inhibits Mdm2-mediated p53 ubiquitination, leading to p53 stabilization. Functionally, Smad1 acts like a tumor suppressor in DNA damage response, cell transformation and tumorigenesis in a p53-dependent manner. Sequencing of the gastric cancer samples revealed that Smad1 is frequently mutated, with S239 as mutational hotspot. This study thus establishes the BMP-Smad1 pathway as an integral part of DNA damage response, which can suppresses tumorigenesis via p53.

ORGANISM(S): Mus musculus

PROVIDER: GSE36843 | GEO | 2012/12/31

SECONDARY ACCESSION(S): PRJNA156899

REPOSITORIES: GEO

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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.

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Transcriptome of MEFs with BMP2 and DNA damage reagents

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