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accession-icon GSE38177
Controlling Reoxygenation During Cardiopulmonary Bypass is Associated with Reduced Transcriptomic Changes in Cyanotic Patients with Tetralogy of Fallot Undergoing Heart Surgery
  • organism-icon Homo sapiens
  • sample-icon 10 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

Controlled reoxygenation cardiopulmonary bypass is associated with reduced transcriptomic changes in cyanotic tetralogy of Fallot patients undergoing surgery.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE38162
Transcription profile in patients with cyanotic Tetralogy of Fallot undergoing corrective surgery using controlled reoxygenation cardiopulmonary bypass
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To determine cardiac transcription profile in cyanotic Tetralogy of Fallot patients subjected to conrolled reoxygenation cardiopulmonary bypass, we collected myocardial samples at the end of the ischemic time. The transcriptional profile of the mRNA in these samples was measured with gene array technology

Publication Title

Controlled reoxygenation cardiopulmonary bypass is associated with reduced transcriptomic changes in cyanotic tetralogy of Fallot patients undergoing surgery.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE38161
Transcription profile in patients with cyanotic Tetralogy of Fallot undergoing corrective surgery using hyperoxic/standard cardiopulmonary bypass
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To determine cardiac transcription profile in cyanotic Tetralogy of Fallot patients subjected to hyperoxic/standard cardiopulmonary bypass, we collected myocardial samples at the end of the ischemic time. The transcriptional profile of the mRNA in these samples was measured with gene array technology

Publication Title

Controlled reoxygenation cardiopulmonary bypass is associated with reduced transcriptomic changes in cyanotic tetralogy of Fallot patients undergoing surgery.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE44782
Gene expression in post cardiac surgery acute kidney injury
  • organism-icon Sus scrofa
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

To determine the changes in intra-renal gene expression in a novel large animal model of post Cardiopulmonary Bypass (CPB) acute kidney injury, we collected renal medulla samples obtained 24hours post intervention.

Publication Title

Changes in renal medulla gene expression in a pre-clinical model of post cardiopulmonary bypass acute kidney injury.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE32432
Expression data from in utero exposure to genistein, vinclozolin and the mixture of genistein and vinclozolin on the mammary gland
  • organism-icon Rattus norvegicus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 1.0 ST Array (ragene10st)

Description

Morphogenesis of the mammary gland relies on the precise developmental control of morphological elements including TEBs, ducts and lobules. In the peripubertal mammary gland, rising levels of ovarian hormones control this development through a tightly controlled genetic program where specific sets of genes are up-regulated.

Publication Title

In utero and lactational exposure to vinclozolin and genistein induces genomic changes in the rat mammary gland.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon SRP099850
Genomic dissection of conserved transcriptional regulation in intestinal epithelial cells [zebrafish]
  • organism-icon Danio rerio
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

We profiled genome-wide accesssible chromatin data and RNA-seq from four species (zebrafish, stickleback, mouse, and human) to identify commonly regulated genes and regulatory metods in intestinal epithelial cells (IECs). We identify a group genes that are commonly expressed in IECs and genes that are commonly expressed along the length of the intestine in fish and mammals. Using accessible chromatin data we identified enriched transcription factor binding site motifs In IECs and sites that are commonly accessible in IECs in all species. Finally, we confirm the ability for these regions from multiple species to drive conserved expression in IECs using a zebrafish reporter assay. Overall design: Examination of expression levels and chromatin accessibility in intestinal epithelaial cells in zebrafish

Publication Title

Genomic dissection of conserved transcriptional regulation in intestinal epithelial cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE50751
Drug Synergy Screen and Network Modeling in Dedifferentiated Liposarcoma (DDLS)
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Drug synergy screen and network modeling in dedifferentiated liposarcoma identifies CDK4 and IGF1R as synergistic drug targets.

Sample Metadata Fields

Disease, Cell line

View Samples
accession-icon GSE50749
Drug Synergy Screen and Network Modeling in Dedifferentiated Liposarcoma (DDLS) part 1
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

Analysis of gene expression levels in two DDLS tumor-derived cell lines DDLS8817 and LPS141 growing in culture in basal conditions

Publication Title

Drug synergy screen and network modeling in dedifferentiated liposarcoma identifies CDK4 and IGF1R as synergistic drug targets.

Sample Metadata Fields

Cell line

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accession-icon SRP069801
Dissecting the Effect of Genetic Variation on the Hepatic Expression of Drug Disposition Genes across the Collaborative Cross Mouse Strains
  • organism-icon Mus musculus
  • sample-icon 53 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

A central challenge in pharmaceutical research is to investigate genetic variation in response to drugs. The Collaborative Cross (CC) mouse reference population is a promising model for pharmacogenomic studies because of its large amount of genetic variation, genetic reproducibility, and dense recombination sites. While the CC lines are phenotypically diverse, their genetic diversity in drug disposition processes, such as detoxification reactions, is still largely uncharacterized. Here we systematically measured RNA-sequencing expression profiles from livers of 29 CC lines under baseline conditions. We then leveraged a reference collection of metabolic biotransformation pathways to map potential relations between drugs and their underlying expression quantitative trait loci (eQTLs). By applying this approach on proximal eQTLs, including eQTLs acting on the overall expression of genes and on the expression of particular transcript isoforms, we were able to construct the organization of hepatic eQTL-drug connectivity across the CC population. The analysis revealed a substantial impact of genetic variation acting on drug biotransformation, allowed mapping of potential joint genetic effects in the context of individual drugs, and demonstrated crosstalk between drug metabolism and lipid metabolism. Our findings provide a resource for investigating drug disposition in the CC strains, and offer a new paradigm for integrating biotransformation reactions to corresponding variations in DNA sequences. Overall design: This dataset includes RNA-Seq data of mRNA that were extracted from the liver of 55 male mice. The 55 mice belong to 29 different collaborative cross strains. The number of individual mice per strains is 3 for 3 strains, 2 for 16 strains, and 1 for 8 strains. All the mice are naïve without any special treatment.

Publication Title

Dissecting the Effect of Genetic Variation on the Hepatic Expression of Drug Disposition Genes across the Collaborative Cross Mouse Strains.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon SRP055438
mRNA and small RNA associated with Crohn''s disease behavior [RNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 33 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

There is a need for reliable prognostic markers that can guide therapeutic intervention in Crohn’s disease (CD). We examined whether different behavioral phenotypes in CD can be classified based on colonic miRNA or mRNA expression and if miRNAs have prognostic utility for CD. We perform high-throughput sequencing of small RNA and mRNA isolated from colon tissue from CD patients and non-IBD (NIBD) controls. To identify miRNA and genes associated with specific behavioral phenotypes of CD, patients were stratified according to disease behavior (non-stricturing, non-penetrating; stricturing; penetrating) and compared miRNA profiles in each class with those of the NIBD group. Using a novel statistical simulation approach applied to colonic RNA-seq data for CD patients and NIBD controls, we identify at drivers of gene expression profiles associated with CD. Overall design: Macroscopically non-inflamed colon tissue from well-characterized Crohn''s disease patients and normal controls were obtained. Small RNA-seq and RNA-seq were performed on these samples. Additionally, we investigated the effect of inflammation on miRNA expression by performing small RNA-seq on matched colon samples obtained from macroscopically inflamed regions from a subset (six) of these patients with Crohn''s Disease.

Publication Title

MicroRNAs Classify Different Disease Behavior Phenotypes of Crohn's Disease and May Have Prognostic Utility.

Sample Metadata Fields

No sample metadata fields

View Samples
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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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