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accession-icon GSE30660
The Effect of Repeated Whole Cigarette Smoke Challenge on Human Air-Liquid Interface Lung Epithelial Cultures
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Airway epithelial cells are the first cells of the lungs to be exposed to the toxic agents contained within cigarette smoke. Accordingly, the response of these cells to this challenge is of considerable interest in the context of diseases in which cigarette smoke is a major aetiological factor.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Race

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accession-icon GSE57083
Expression data from AstraZeneca internal cell lines
  • organism-icon Homo sapiens
  • sample-icon 623 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Full legacy gene expression dataset run internally

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Disease, Cell line

View Samples
accession-icon GSE63362
Identification of sexually dimorphically expressed genes in rat tissues
  • organism-icon Rattus norvegicus
  • sample-icon 256 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

The sexually dimorphic expression of genes across 26 somatic rat tissues was using Affymetrix RAE-230 genechips. We considered probesets to be sexually dimorphically expressed (SDE) if they were measurably expressed above background in at least one sex, there was at least a two-fold difference in expression (dimorphism) between the sexes, and the differences were statistically significant after correcting for false discovery. 14.5% of expressed probesets were SDE in at least one tissue, with higher expression nearly twice as prevalent in males compared to females. Most were SDE in a single tissue. Surprisingly, nearly half of the probesets that were (SDE) in multiple tissues were oppositely sex biased in different tissues, and most SDE probesets were also expressed without sex bias in other tissues. Two genes were widely SDE: Xist (female-only) and Eif2s3y (male-only). The frequency of SDE probesets varied widely between tissues, and was highest in the duodenum (6.2%), whilst less than 0.05% in over half of the surveyed tissues. The occurrence of SDE probesets was not strongly correlated between tissues. Within individual tissues, however, relational networks of SDE genes were identified. In the liver, networks relating to differential metabolism between the sexes were seen. The estrogen receptor was implicated in differential gene expression in the duodenum. To conclude, sexually dimorphic gene expression is common, but highly tissue-dependent. Sexually dimorphic gene expression may provide insights into mechanisms underlying phenotypic sex differences.

Publication Title

The incidence of sexually dimorphic gene expression varies greatly between tissues in the rat.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE57308
Array CGH and expression data from gastric cancer patients
  • organism-icon Homo sapiens
  • sample-icon 70 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Whole genome gene copy number profiling of gastric cancer identifies PAK1 and KRAS gene amplification as therapy targets.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE57303
Expression data from 70 gastric cancer patients
  • organism-icon Homo sapiens
  • sample-icon 70 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To explore the spectrum of genetic aberrations of Chinese gastric cancer, 70 samples were further profiled by Affymetrix Hu133Plus2 arrays for mRNA expression

Publication Title

Whole genome gene copy number profiling of gastric cancer identifies PAK1 and KRAS gene amplification as therapy targets.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE35896
Gene expression data from 62 colorectal cancers
  • organism-icon Homo sapiens
  • sample-icon 62 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We stratified colorectal tumor samples using a new unsupervised, iterative method based on non-negative matrix factorization (NMF). The resulting five subtypes exhibited activation of specific signaling pathways, and significant differences in microsatellite status and tumor location. We could also align three CRC cell lines panels to these subtypes.

Publication Title

Subtypes of primary colorectal tumors correlate with response to targeted treatment in colorectal cell lines.

Sample Metadata Fields

Sex, Race

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accession-icon GSE57639
Expression data from short-term mouse embryonic stem cell exposure Assay
  • organism-icon Mus musculus
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

In vitro prediction of developmental toxicity during early discovery phases of drug development has the potential to guide decision-making toward prioritizing candidate drugs that are less likely to later show teratogenicity in vivo. Such screening would reduce animal use in preclinical studies, including full-scale regulatory reproductive toxicology. we evaluate an assay format based on short-term toxicogenomic responses in pluripotent embryonic stem cells (ESC). We exposed attached undifferentiated cells of the mouse ESC cell line R1 for 6h to 10 known teratogenic and 9 non-teratogenic pharmaceutical drugs .

Publication Title

No associated publication

Sample Metadata Fields

Cell line, Treatment, Compound

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accession-icon GSE21937
Germ-free and anti-biotic treated rats
  • organism-icon Rattus norvegicus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

The objective of the study was identify hepatic genes with expression by deprivation of gut flora. Two models were used: model 1 (study 1443KR) examined germ-free Sprague Dawley and model 2 (1512KR) examined antibiotic treated Han Wistar rats.

Publication Title

Systemic gut microbial modulation of bile acid metabolism in host tissue compartments.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE74143
Whole blood gene expression from subjects with moderate to severe rheumatoid arthritis
  • organism-icon Homo sapiens
  • sample-icon 376 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

Whole blood (paxgene) gene expression was measured using Affymetrix microarray from 377 individuals with rheumatoid arthritis.

Publication Title

Integrative genomic deconvolution of rheumatoid arthritis GWAS loci into gene and cell type associations.

Sample Metadata Fields

Sex, Age, Specimen part, Disease

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accession-icon GSE54331
Interleukin-6 is a Potential Therapeutic Target in Interleukin-6 Dependent Estrogen Receptor-alpha Positive Breast Cancer
  • organism-icon Homo sapiens
  • sample-icon 371 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219), Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Cell line, Treatment

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

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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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