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accession-icon E-MEXP-2919
Transcription profiling by array of mouse sciatic nerve from wild type and YY1 conditional knock outs
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

RNA isolated from sciatic nerve of postnatal day 21 mice with conditional ablation of YY1 in the SChwann cells

Publication Title

Yy1 as molecular link between neuregulin and transcriptional modulation of peripheral myelination.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE65270
Associations between host gene expression, the mucosal microbiome, and clinical outcome in the pelvic pouch of patients with inflammatory bowel disease.
  • organism-icon Homo sapiens
  • sample-icon 271 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Pouchitis is a common complication for ulcerative colitis (UC) patients with ileal pouch-anal anastomosis (IPAA) surgery. Similarly to IBD, both innate host factors such as genetics, and environmental stimuli including the tissue-associated microbiome have been implicated in the pathogenesis. In this study, we make use of the IPAA model of inflammatory bowel disease (IBD) to carry out a study associating mucosal host gene expression with the microbiome and corresponding clinical outcomes.

Publication Title

Associations between host gene expression, the mucosal microbiome, and clinical outcome in the pelvic pouch of patients with inflammatory bowel disease.

Sample Metadata Fields

Sex, Disease, Subject

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accession-icon GSE40292
eQTL Analysis Identifies Novel Associations Between Genotype and Gene Expression in the Human Intestine (Expression)
  • organism-icon Homo sapiens
  • sample-icon 191 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Genome-wide association studies (GWAS) have been pivotal to increasing our understanding of intestinal disease. However, the mode by which genetic variation results in phenotypic change remains largely unknown, with many associated polymorphisms likely to modulate gene expression. Analyses of expression quantitative trait loci (eQTL) to date indicate that as many as 50% of these are tissue specific. Here we report a comprehensive eQTL scan of intestinal tissue.

Publication Title

Expression quantitative trait loci analysis identifies associations between genotype and gene expression in human intestine.

Sample Metadata Fields

Sex, Disease

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accession-icon GSE67766
Cancer Cells Hijack PRC2 to Modify Multiple Cytokine Pathways
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconIllumina HumanWG-6 v3.0 expression beadchip, Illumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Cancer Cells Hijack PRC2 to Modify Multiple Cytokine Pathways.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE21231
Gene expression changes associated with resistance to intravenous corticosteroid therapy in children with severe ulcerative colitis
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Although corticosteroids remain a mainstay of therapy for UC, a meta-regression of cohort studies in acute severe ulcerative colitis (UC) showed that 29% of patients fail corticosteroid therapy and require escalation of medical management or colectomy.

Publication Title

Gene expression changes associated with resistance to intravenous corticosteroid therapy in children with severe ulcerative colitis.

Sample Metadata Fields

Specimen part

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accession-icon GSE67628
The effect of SUZ12 knockdown on the responsivness of IFNg Stimulated Genes
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip, Illumina HumanWG-6 v3.0 expression beadchip

Description

We studied the effect of knowking down SUZ12 +/- knowckdown of BRM on the responsivness of IFNg stimulated genes. Cells were transfected with siSZU12+/-siBRM or control siRNA+/-siBRM. Cells were then left untreated or exposed to IFNg for 6 hours.

Publication Title

Cancer Cells Hijack PRC2 to Modify Multiple Cytokine Pathways.

Sample Metadata Fields

Cell line

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accession-icon GSE94357
Properties of STAT1 and IRF1 Enhancers and the Influence of SNPs
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconNimblegen human 16MB custom tiling array (HG17) design1, Illumina HumanWG-6 v3.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Properties of STAT1 and IRF1 enhancers and the influence of SNPs.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE67626
The effect of BRG1 on the responsivness of IFNg Stimulated Genes
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanWG-6 v3.0 expression beadchip

Description

We studied the effect of reconstitution of BRG1 in BRG1-deficient cells on the responsivness of IFNg stimulated genes. Cells were infected with control adenovirus or BRG1-encoding virus. Cells were then left untreated or exposed to IFNg for 6 hours.

Publication Title

Cancer Cells Hijack PRC2 to Modify Multiple Cytokine Pathways.

Sample Metadata Fields

Cell line

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accession-icon GSE54970
Expression data from dendritic cells treated with IFN for 2.5 hours and control
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We used microarray to characterize interferon stimulated genes in dendritic cells

Publication Title

Comparative analysis of anti-viral transcriptomics reveals novel effects of influenza immune antagonism.

Sample Metadata Fields

Specimen part

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accession-icon GSE65221
Integrative network analysis reveals different pathophysiological mechanisms of insulin resistance among Caucasians and African Americans
  • organism-icon Homo sapiens
  • sample-icon 136 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Background: African Americans (AA) have more pronounced insulin resistance and higher insulin secretion than European Americans (Caucasians or CA) when matched for age, gender, and body mass index (BMI). We hypothesize that physiological differences (including insulin sensitivity [SI]) between CAs and AAs can be explained by co-regulated gene networks in tissues involved in glucose homeostasis. Methods: We performed integrative gene network analyses of transcriptomic data in subcutaneous adipose tissue of 99 CA and 37 AA subjects metabolically characterized as non-diabetic, with a range of SI and BMI values. Results: Transcripts negatively correlated with SI in only the CA or AA subjects were enriched for inflammatory response genes and integrin-signaling genes, respectively. A sub-network (module) with TYROBP as a hub enriched for genes involved in inflammatory response (corrected p= 1.7E-26) was negatively correlated with SI (r= -0.426, p= 4.95E-04) in CA subjects. SI was positively correlated with transcript modules enriched for mitochondrial metabolism in both groups. Several SI-associated co-expressed modules were enriched for genes differentially expressed between groups. Two modules involved in immune response to viral infections and function of adherens junction, are significantly correlated with SI only in CAs. Five modules involved in drug/intracellular transport and oxidoreductase activity, among other activities, are correlated with SI only in AAs. Furthermore, we identified driver genes of these race-specific SI-associated modules. Conclusions: SI-associated transcriptional networks that were deranged predominantly in one ethnic group may explain the distinctive physiological features of glucose homeostasis among AA subjects.

Publication Title

Integrative network analysis reveals different pathophysiological mechanisms of insulin resistance among Caucasians and African Americans.

Sample Metadata Fields

Sex, Specimen part, Race

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...

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)

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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.

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