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. Overall design: 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.
The genetic architecture of the genome-wide transcriptional response to ER stress in the mouse.
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View SamplesThe comparative advantages of RNA-Seq and microarrays in transcriptome profiling were evaluated in the context of a comprehensive study design. Gene expression data from Illumina RNA-Seq and Affymetrix microarrays were obtained from livers of rats exposed to 27 agents that comprised of seven modes of action (MOAs); they were split into training and test sets and verified with real time PCR.
The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance.
Sex, Specimen part
View SamplesEffect of LPS, CpG, dexamethasone, Pam3Cys, poly I:C, zymosan, Schistosoma mansoni eggs, Schistosoma mansoni shistosomula, Listeria monocytogenes, Leishmania mexicana amastigotes and Leishmania mexicana promastigotes on dendritic cell gene transcription
Gene expression profiles identify inflammatory signatures in dendritic cells.
Sex, Specimen part, Cell line, Treatment, Compound, Time
View SamplesAldosterone is known to have a number of direct adverse effects on the heart, including fibrosis and myocardial inflammation. However, genetic mechanisms of aldosterone action on the heart remain unclear.
Effect of acute aldosterone administration on gene expression profile in the heart.
No sample metadata fields
View SamplesMitochondrial biogenesis is under the control of two different genetic systems: the nuclear genome (nDNA) and the mitochondrial genome (mtDNA). mtDNA is a circular genome of 16.6 kb encoding 13 of the approximately 90 subunits that form the respiratory chain, the remaining ones being encoded by the nuclear genome (nDNA). Eukaryotic cells are able to monitor and respond to changes in mitochondrial function through alterations in nuclear gene expression, a phenomenon first defined in yeast and known as retrograde regulation. With this experiment we aimed to identify the set of nuclear genes that significantly change their expression level in response to depletion of mtDNA.
How do human cells react to the absence of mitochondrial DNA?
Cell line
View SamplesWe used microarray data to look for gene differentially expressed in the aorta of WT and L-PGDS ko male mice.
Lipocalin-Like Prostaglandin D Synthase but Not Hemopoietic Prostaglandin D Synthase Deletion Causes Hypertension and Accelerates Thrombogenesis in Mice.
Sex, Specimen part
View SamplesWe report application of RNA-seq to quantify gene expression changes in fasted mouse livers compared to re-fed controls. Overall design: RNA-seq from livers of re-fed and 48h fasted mice.
Histone propionylation is a mark of active chromatin.
Sex, Specimen part, Treatment, Subject
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Distinct metabolic states govern skeletal muscle stem cell fates during prenatal and postnatal myogenesis.
Age, Specimen part
View SamplesTranscriptomic analysis of FACS-sorted Pax7nGFP quiescent skeletal muscle satellite cells cells from young, and old mice. Results provide knowledge about the molecular mechanisms underlying age-related skeletal muscle satellite cells homeostasis.
Distinct metabolic states govern skeletal muscle stem cell fates during prenatal and postnatal myogenesis.
Specimen part
View SamplesGene expression profiling following different learning paradigms may help in defining the moleular pathways of memory formation. In this study we analyzed the gene expression pattern of murine hippocampus at different time points (0.5 h, 2h, 6h) after trace fear conditioning. We compared trained mice with naive mice that remained in their homecages.
Temporal gene expression profile of the hippocampus following trace fear conditioning.
Sex, Specimen part
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