refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 474 results
Sort by

Filters

Technology

Platform

accession-icon SRP050399
The genetic architecture of the genome-wide transcriptional response to ER stress in the mouse
  • organism-icon Mus musculus
  • sample-icon 68 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

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. 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.

Publication Title

The genetic architecture of the genome-wide transcriptional response to ER stress in the mouse.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon E-MEXP-2715
Transcription profiling of mouse dendritic cell line D1 treated with various compounds and infectious agents
  • organism-icon Mus musculus
  • sample-icon 104 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Effect 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

Publication Title

Gene expression profiles identify inflammatory signatures in dendritic cells.

Sample Metadata Fields

Sex, Specimen part, Cell line, Treatment, Compound, Time

View Samples
accession-icon GSE3440
Effect of aldosterone on gene expression in the heart
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Aldosterone 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.

Publication Title

Effect of acute aldosterone administration on gene expression profile in the heart.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE14900
Transcriptional response of human cells to the absence of mitochondrial DNA
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Mitochondrial 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.

Publication Title

How do human cells react to the absence of mitochondrial DNA?

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE77642
Expression data from WT and L-PGDS ko mice aorta
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

We used microarray data to look for gene differentially expressed in the aorta of WT and L-PGDS ko male mice.

Publication Title

Lipocalin-Like Prostaglandin D Synthase but Not Hemopoietic Prostaglandin D Synthase Deletion Causes Hypertension and Accelerates Thrombogenesis in Mice.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon SRP112761
Transcriptome analysis of fasted mouse livers
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We 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.

Publication Title

Histone propionylation is a mark of active chromatin.

Sample Metadata Fields

Sex, Specimen part, Treatment, Subject

View Samples
accession-icon GSE116586
Expression data from young adult, aged, and post-mortem mouse satellite cells
  • organism-icon Mus musculus
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Distinct metabolic states govern skeletal muscle stem cell fates during prenatal and postnatal myogenesis.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE116585
Expression data from young adult, and aged mouse satellite cells
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Transcriptomic 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.

Publication Title

Distinct metabolic states govern skeletal muscle stem cell fates during prenatal and postnatal myogenesis.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE16158
Gene expression induced by trace fear conditioning in murine hippocampus
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Gene 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.

Publication Title

Temporal gene expression profile of the hippocampus following trace fear conditioning.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE116584
Expression data from young adult, and post-mortem mouse satellite cells
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Transcriptomic analysis of FACS-sorted Pax7nGFP quiescent skeletal muscle satellite cells cells from old, and post-mortem mice. Results provide knowledge about the molecular mechanisms underlying age-related skeletal muscle satellite cells homeostasis.

Publication Title

Distinct metabolic states govern skeletal muscle stem cell fates during prenatal and postnatal myogenesis.

Sample Metadata Fields

Age, Specimen part

View Samples
...

refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

Powered by Alex's Lemonade Stand Foundation

Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

BSD 3-Clause LicensePrivacyTerms of UseContact