Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Whole genome analysis of p38 SAPK-mediated gene expression upon stress

ABSTRACT: Cells have the ability to respond and adapt to environmental changes through the activation of stress-activated protein kinases (SAPKs). Although it has been shown that p38 SAPK signalling participates in the regulation of gene transcription, there is not a comprehensive genome-wide transcription study reported to date describing neither the role of the p38 SAPK on the immediate response to stress and its kinetics nor a comparative vision of the genes that respond to different stimuli that activate the p38 SAPK. Here, we report a whole genome microarray analyses on wild type mouse embryonic fibroblasts (MEFs) treated with different p38 SAPK activators, namely the physiological cytokine TNF alpha, the protein synthesis inhibitor antibiotic anisomycin and osmostress. In addition, we have analysed the contribution of p38 alpha the major isoform of p38 present in MEF cells, in the overall transcription in response to those stimuli by both, the inhibition of p38 SAPK by using a chemical inhibitor (SB203580) and the use of p38 alpha knock out MEFs. Furthermore, we have analysed the kinetics of the gene expression response to osmostress by the p38 SAPK. Two samples have been analysed; wild type Mouse embryonic fibroblast (WT-MEFs) and MAPK p38alfa knock out MEFs (KO-MEFs) respectively treated with 11 and 4 different treatments. Each experiment was performed in duplicate and referenced to a pool of two non-treated WT MEFs.

ORGANISM(S): Mus musculus

SUBMITTER: Luis LOMBARDIA

PROVIDER: E-GEOD-18320 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Endoplasmic reticulum (ER) stress occurs when misfolded proteins accumulate in the ER. The cellular response to ER stress involves complex transcriptional and translational changes, important to the survival of the cell. ER stress is a primary cause and a modifier of many human diseases. A first step to understanding how the ER stress response impacts human disease is to determine how the transcriptional response to ER stress varies among individuals. The genetic diversity of the eight mouse Collaborative Cross (CC) founder strains allowed us to determine how genetic variation impacts the ER stress transcriptional response. We used tunicamycin, a drug commonly used to induce ER stress, to elicit an ER stress response in mouse embryonic fibroblasts (MEFs) derived from the CC founder strains and measured their transcriptional responses. We identified hundreds of genes that differed in response to ER stress across these genetically diverse strains. Strikingly, inflammatory response genes differed most between strains; major canonical ER stress response genes showed relatively invariant responses across strains. To uncover the genetic architecture underlying these strain differences in ER stress response, we measured the transcriptional response to ER stress in MEFs derived from a subset of F1 crosses between the CC founder strains. We found a unique layer of regulatory variation that is only detectable under ER stress conditions. Over 80% of the regulatory variation under ER stress derives from cis-regulatory differences. This is the first study to characterize the genetic variation in ER stress transcriptional response in the laboratory mouse. Our findings indicate that the ER stress transcriptional response is highly variable among strains and arises from genetic variation in individual downstream response genes, rather than major signaling transcription factors. These results have important implications for understanding how genetic variation impacts the ER stress response, an important component of many human diseases. We investigated the genetic variation in ER stress transcriptional response in mouse embryonic fibroblasts (MEFs) across eight mouse strains: A/J, C57BL/6J, 129S1Sv/ImJ, NOD/ShiLtJ, NZO/H1LtJ, CAST/EiJ, PWK/PhJ, and WSB/EiJ. MEFs from each strain were treated with a control DMSO or ER stress-inducing drug, Tunicamycin (TM). To identify the genetic architecture underlying this genetic variation, MEFs from F1 strains were also studied. MEFs from the following F1s were evaluated: C57BL/6J X CAST/EiJ, C57BL/6J X 129S1Sv/ImJ, C57BL/6J X NOD/ShiLtJ, C57BL/6J X NZO/H1LtJ, and C57BL/6J X WSB/EiJ. Again F1 MEFS were treated with either DMSO or TM. There are two or three replicates for each sample.

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Whole genome analysis of p38 SAPK-mediated gene expression upon stress

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