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accession-icon GSE4183
Inflammation, adenoma and cancer: objective classification of colon biopsy specimens with gene expression signature
  • organism-icon Homo sapiens
  • sample-icon 49 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background and Aims: Gene expression analysis of colon biopsies using high-density oligonucleotide microarray can contribute to the understanding of local pathophysiological alterations and to functional classification of precancerous adenoma, different stage colorectal carcinomas (CRC) and inflammatory bowel diseases (IBD).

Publication Title

Evaluation of microarray preprocessing algorithms based on concordance with RT-PCR in clinical samples.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE23640
Gene-expression profile of breast cancer cell lines and sorted breast cancer epithelial cells
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Most of the breast cancer samples used in clinical research contain multiple cell types other than epithelial cells alone. The non-epithelial cell types have have a substantial effect on the gene expression-profile, which is used to define molecular subtypes of the tumours. The purpose of this data set is to retrieve gene-expression profile within tumour epithelial cells. We collected 9 breast cancer epithelial cell lines and 5 tumour sampes from which epithelial cells were sorted and enriched using BerEp4 antibody coated beads. We profiled the mRNA expression level of these samples and classified probe sets into epithelial genes which were those genes with present calls in at least 50% of the samples. Then we derived an 23-gene signature based on only the epithelial genes to stratify breast cancer.

Publication Title

Minimising immunohistochemical false negative ER classification using a complementary 23 gene expression signature of ER status.

Sample Metadata Fields

Specimen part

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accession-icon GSE46684
Expression data: Venous malformation-causative TIE2-mutations mediate an AKT-dependent decrease in PDGFB
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [HuEx-1_0-st-v2_na31_hg19 (huex10st)

Description

Comparison of transcriptional profiles of human umbilical vein endothelial cells (HUVECs) expressing wild-type vs. VM-causative mutant forms of TIE2/TEK.

Publication Title

Venous malformation-causative TIE2 mutations mediate an AKT-dependent decrease in PDGFB.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE6613
Parkinson's disease vs. controls, whole blood
  • organism-icon Homo sapiens
  • sample-icon 105 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Parkinsons disease (PD) progresses relentlessly and affects five million people worldwide. Laboratory tests for PD are critically needed for developing treatments designed to slow or prevent progression of the disease. We performed a transcriptome-wide scan in 105 individuals to interrogate the molecular processes perturbed in cellular blood of patients with early-stage PD. The molecular marker here identified is strongly associated with risk of PD in 66 samples of the training set (third tertile cross-validated odds ratio of 5.7 {P for trend 0.005}). It is further validated in 39 independent test samples (third tertile odds ratio of 5.1 {P for trend 0.04}). The genes differentially expressed in patients with PD, or Alzheimers or progressive supranuclear palsy offer unique insights into disease-linked processes detectable in peripheral blood. Combining gene expression scans in blood and linked clinical data will facilitate the rapid characterization of candidate biomarkers as demonstrated here with respect to PD.

Publication Title

Molecular markers of early Parkinson's disease based on gene expression in blood.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE38457
VEGF-B in rat hearts
  • organism-icon Rattus norvegicus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina ratRef-12 v1.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

VEGF-B-induced vascular growth leads to metabolic reprogramming and ischemia resistance in the heart.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE38454
Analysis of the global gene expression in VEGF-B transgenic rat hearts
  • organism-icon Rattus norvegicus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina ratRef-12 v1.0 expression beadchip

Description

We show that an excess of VEGF-B protects the heart via adaptive cardiac hypertrophy and increased coronary arterial reserve, and by inducing a shift from lipid to glucose metabolism.

Publication Title

VEGF-B-induced vascular growth leads to metabolic reprogramming and ischemia resistance in the heart.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE68722
A Novel Human Leiomyoma Tissue Derived Matrix for Cell Culture Studies
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The composition of the matrix molecules is important in in vitro cell culture experiments of e.g. human cancer invasion and vessel formation. Currently, the mouse Engelbreth-Holm-Swarm (EHS) sarcoma -derived products, such as Matrigel, are the most commonly used tumor microenvironment mimicking (TMEM) matrices for experimental studies. However, since Matrigel is non-human in origin, its molecular composition does not accurately simulate human TMEM and we expect myogel to be more natural environment for human cancer cells. The environment may have crucial impact on cell behavior and gene expression.

Publication Title

A novel human leiomyoma tissue derived matrix for cell culture studies.

Sample Metadata Fields

Cell line

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accession-icon GSE18864
Tumor expression data from neoadjuvant trial of cisplatin monotherapy in triple negative breast cancer patients
  • organism-icon Homo sapiens
  • sample-icon 84 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Evidence suggests that BRCA1 mutation associated tumors have increased sensitivity to DNA damaging agents like cisplatin. Sporadic triple negative breast cancers (TNBC) have many phenotypic similarities to BRCA1 tumors and may have a similar sensitivity to cisplatin. We tested the efficacy of cisplatin monotherapy in 28 TNBC patients in a single arm neoadjuvant trial with outcome measured by pathologic treatment response quantified using the Miller-Payne scale.

Publication Title

Efficacy of neoadjuvant Cisplatin in triple-negative breast cancer.

Sample Metadata Fields

Age, Disease stage

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accession-icon GSE20186
Systematic meta-analysis and replication of genome-wide expression studies of Parkinson's disease
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a), Illumina HumanHT-12 V3.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

PGC-1α, a potential therapeutic target for early intervention in Parkinson's disease.

Sample Metadata Fields

Sex, Age, Specimen part, Disease

View Samples
accession-icon GSE20146
Expression analysis of dissected GPi in Parkinson's disease
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Genome-wide transcriptome analysis of expression changes in Globus Pallidus interna (GPi) from Parkinson's disease brain tissue versus control brain tissue.

Publication Title

PGC-1α, a potential therapeutic target for early intervention in Parkinson's disease.

Sample Metadata Fields

Sex, Specimen part, Disease, Disease stage

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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