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accession-icon GSE38021
Expression profiling by array in ATLL
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Previously, we have shown that an AP-1 family member Fra-2, which is hardly expressed in normal mature T cells, is consistently over-expressed in adult T-cell leukemia/lymphoma (ATLL), and together with JunD, upregulates CCR4 and many other genes including proto-oncogenes c-Myb, MDM2, Bcl-6, and SOX4. SOX4 is frequently overexpressed in many solid tumors and considered to be a potential oncogene.

Publication Title

SOX4 is a direct target gene of FRA-2 and induces expression of HDAC8 in adult T-cell leukemia/lymphoma.

Sample Metadata Fields

Cell line

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accession-icon GSE42392
Expression analysis of cancer of unknown primary (CUP)
  • organism-icon Homo sapiens
  • sample-icon 59 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Biopsies (lymph nodes, ascites or hydrothorax) from 60 patients with cancer of unknown primary origin were analyzed.

Publication Title

A microarray-based gene expression analysis to identify diagnostic biomarkers for unknown primary cancer.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE8939
Transcriptional responses to UV irradiation in CS-B cells
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Cockayne syndrome B (CSB) protein is a member of the SWI/SNF family and has DNA-dependent ATPase and ATP-dependent chromatin remodeling activities. The CSB protein is missing or altered in CS-B cells. CS-B cells are hypersensitive to UV light and defective in transcription-coupled DNA repair (TCR). TCR efficiently removes a variety of lesions from the transcribed strand of active genes. It has been shown that lesions specifically in the transcribed strand of active genes trigger the induction of apoptosis following UV irradiation. Several DNA damage signaling cascades, including the ATR/Chk1, p38 kinase, p53, and jun N-terminal kinase pathways are activated following UV irradiation. However, the role of TCR in cellular global transcriptional responses to UV irradiation remains to be elucidated. Using oligonucleotide microarray technology, we analyzed the time course of responses of CS-B cells (CS-B) and CS-B cells complemented with wild-type CSB cDNA (CS-B wt).

Publication Title

No associated publication

Sample Metadata Fields

Cell line

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accession-icon GSE6379
Aberrant expression of Fra-2 promotes CCR4 expression and cell proliferation in adult T-cell leukemia
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The 4Fra2-targeting siRNA and 4 control-siRNA samples were used for analysis.

Publication Title

Aberrant expression of Fra-2 promotes CCR4 expression and cell proliferation in adult T-cell leukemia.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE12817
Cluster analysis of rat pancreatic islet gene mRNA levels after culture in low, intermediate and high [glucose]
  • organism-icon Rattus norvegicus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Background: Survival and function of insulin-secreting pancreatic -cells are markedly altered by changes in nutrient availability. In vitro, culture in 10 rather than 2mM glucose improves rodent -cell survival and function whereas glucose concentrations above 10mM are deleterious. Aim-Method: To identify the mechanisms of such -cell plasticity, we tested the effects of a 18h culture at 2, 5, 10 and 30mM glucose on the transcriptome of rat islets precultured for 1 week at 10mM glucose (Affymetrix Rat 230.2 arrays). Results: Culture in either 2-5mM or 30mM instead of 10mM glucose markedly impaired -cell function without affecting islet cell survival. Of ~16000 probe sets reliably detected in islets, ~5000 were significantly regulated at least 1.4-fold by glucose. Analysis of these probe sets with GeneCluster software identified 10 mRNA profiles with unidirectional up- or down-regulation between 2 and 10, 2 and 30, 5 and 10, 5 and 30 or 10 and 30 mM glucose, and 8 complex V-shaped or inverse V-shaped profiles with a nadir or peak level of expression in 5 or 10mM glucose. Analysis of genes belonging to these various clusters with Onto-express and GenMapp software revealed several signaling and metabolic pathways that may contribute to the induction of -cell dysfunction and apoptosis after culture in low or high vs. intermediate glucose concentration. Conclusion: We have identified 18 distinct mRNA profiles of glucose-induced changes in islet gene mRNA levels that should help understanding the mechanisms by which glucose affects -cell survival and function under states of chronic hypo- or hyperglycemia.

Publication Title

Cluster analysis of rat pancreatic islet gene mRNA levels after culture in low-, intermediate- and high-glucose concentrations.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE53607
Bioinformatics Multivariate Analysis Determined a Set of Phase-Specific Biomarker Candidates in a Novel Mouse Model for Viral Myocarditis
  • organism-icon Mus musculus
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Myocarditis is an inflammatory disease in the heart and is mainly caused by viral infections. Viral myocarditis has been proposed to be divided into three phases; the acute viral phase, the subacute immune phase, and the chronic cardiac remodeling phase. Although individualized therapy should be applied depending on the phase, no clinical or experimental studies have found biomarkers that distinguish between the three phases of myocarditis. Theilers murine encephalomyelitis virus (TMEV) belongs to the genus Cardiovirus, and can cause myocarditis in susceptible mouse strains. Using this novel model for viral myocarditis induced with TMEV, we conducted multivariate analysis including echocardiography, serum troponin and viral RNA titration, and microarray for identifying the biomarker candidates that discriminate the three phases. Using C3H mice infected with TMEV on 4, 7, and 60 days post infection (p.i.), we conducted bioinformatics analyses, including principal component analysis (PCA) of microarray data, since our traditional cardiac and serum assays, including two-way comparison of microarray data, did not lead to the identification of a single biomarker. PCA separated heart samples clearly between the groups of 4, 7, and 60 days p.i. Representative genes contributing to the separation were as follows: 4 and 7 days p.i., innate immunity-related genes, such as Irf7, and Cxcl9; 7 and 60 days p.i., acquired immunity-related genes, such as Cd3g and H2-Aa; and cardiac remodeling-related genes, such as Mmp12 and Gpnmb. Here, sets of molecules, but not a single molecule, identified by the unsupervised PCA, were found to be useful as the phase-specific biomarkers.

Publication Title

Bioinformatics multivariate analysis determined a set of phase-specific biomarker candidates in a novel mouse model for viral myocarditis.

Sample Metadata Fields

Sex, Specimen part, Time

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accession-icon GSE95414
Expression data from human cell lines before and after treated with drugs.
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Analysis of HER2-amplified NCI-N87 gastric cancer cell line exposed to 0.1 g/mL T-DM1 and subsequently cultured in the presence of gradually increasing doses, up to a maximum of 4 g/mL. The resultant cell lines that grew exponentially in the presence of T-DM1 were designated as drug resistant gastric cancer cell lines, and named N87-TDMR.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE24188
Atorvastatin, rosuvastatin and rifampicin effect on human primary hepatocyte transcriptome
  • organism-icon Homo sapiens
  • sample-icon 40 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

The human primary hepatocyte transcriptome reveals novel insights into atorvastatin and rosuvastatin action.

Sample Metadata Fields

Specimen part, Subject, Time

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accession-icon GSE34230
Transcription profiles of cumulus cells from GnRH agonists and GnRH antagonists treated oocytes at different maturity stages
  • organism-icon Homo sapiens
  • sample-icon 46 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Affymetrix gene expression profiling in cumulus cells (CC) retrieved from patients undergoing GnRH agonists and GnRH antagonists IVF treatment.

Publication Title

Cumulus cells gene expression profiling in terms of oocyte maturity in controlled ovarian hyperstimulation using GnRH agonist or GnRH antagonist.

Sample Metadata Fields

Subject

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accession-icon GSE24187
Atorvastatin, rosuvastatin and rifampicin effect on human primary hepatocyte transcriptome [Affymetrix platform]
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

With particular emphasis on interactions between cholesterol homeostasis and drug metabolism we investigate the transcriptome of human primary hepatocytes treated by two commonly prescribed cholesterol lowering drugs atorvastatin and rosuvastatin and by rifampicin that serves as an outgroup as well as a model substance for induction of nuclear receptor PXR.

Publication Title

The human primary hepatocyte transcriptome reveals novel insights into atorvastatin and rosuvastatin action.

Sample Metadata Fields

Specimen part, Subject, Time

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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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