refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 1586 results
Sort by

Filters

Technology

Platform

accession-icon GSE40381
Expression data from HSCs
  • organism-icon Rattus norvegicus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Hepatic stellate cells (HSCs) experience phenotypic transformation, from the quiescent phenotype to the activated one, after different etiologies of liver injury. Liver fibrosis is then occurred upon the activation of HSCs. miR-16 deficiency is identified to be an important characteristic of HSCs activation. We used Affymetrix rat 230 2.0 arrays (Affymetrix, Santa Clara, U.S.A.) to uncover the global alternations of transcriptome under miR-16 restoration.

Publication Title

No associated publication

Sample Metadata Fields

Sex

View Samples
accession-icon GSE75079
Expression data from 3 week old Rat liver (F1)
  • organism-icon Rattus norvegicus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Developmental Origins of Health and Disease Hypothesis (DOHaD) all emphasized that maternal nutrition plays an important role on the growth and development of offspring. More and more attention has been paid on the effect of maternal high fat diet and overnutrition during pregnancy on the susceptibility of offspring metabolic diseases. So we aim to build the rat model of maternal high fat diet which may induce steatohepatitis and change of lipid metabolism in the early life of offspring, and explore their possible mechannisms.And then to investigate the influence of maternal high fat diet on the expression of hepatic metabolic genes in the early life of offspring.

Publication Title

No associated publication

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE67571
Diverse Targets of -catenin during the Epithelial-Mesenchymal Transition Define Cancer Stem Cells and Predict Disease Relapse
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Wnt signaling contributes to the reprogramming and maintenance of cancer stem cell (CSC) states that is activated by the epithelial-mesenchymal transition (EMT) program. However, the mechanistic relationship between the EMT and Wnt pathway in CSCs remains unclear. Chromatin immunoprecipitation with high-throughput sequencing (ChIP-seq) indicated that EMT induces a switch from the -catenin/E-cadherin/Sox15 complex to the -catenin/Twist1/TCF4 complex, which then binds to CSC-related gene promoters. In tandem co-IP and re-ChIP experiments using epithelial-type cells, Sox15 associated with the -catenin/E-cadherin complex and then bound to the proximal promoter region of CASP3, consequently resulting in Twist1 cleavage and negatively regulating the -cateninelicited promotion of the CSC phenotype. During the EMT, Twist1 in complex with -catenin enhanced -catenin/TCF4 transcriptional activity, which includes binding to the proximal promoter region of ABCG2, a marker of CSCs. For clinical application, the five-gene signature nuclear -cateninHigh/nuclear Twist1High/E-cadherinLow/Sox15Low/CD133High may be a valuable prognostic marker in patients with human lung cancer.

Publication Title

Diverse Targets of β-Catenin during the Epithelial-Mesenchymal Transition Define Cancer Stem Cells and Predict Disease Relapse.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE107703
Transcriptomic analysis of KDM4B-mediated genes in AGS cells
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

KDM4B, an important epigenetic regulator of cell proliferation, metastasis and genome stability, is often overexpressed in gastric cancer. Notably, elevated expression of KDM4B is associated with a poor clinical outcome. A global transcriptomic analysis between KDM4B control and KDM4B-knockdown AGS cells without or with Helicobacter pylori challenge reveals differentially expressed genes involved in response to virus, multi-organism process, and response to stimulus, suggesting KDM4B as an inducible epigenetic factor under H. pylori challenge.

Publication Title

KDM4B is a coactivator of c-Jun and involved in gastric carcinogenesis.

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE95603
Expression data from C. elegans treated with anatase TiO2 nanoparticles
  • organism-icon Caenorhabditis elegans
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix C. elegans Genome Array (celegans)

Description

The nematode C. elegans was exposed to TiO2 nanoparticles (NPs) to evaluate the ecotoxicity of TiO2 nanoparticles.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE22759
Expression data from cell lines originating from patients with multiple myeloma, plasmacytoma and diffuse large B-cell lymphoma
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

A predictive gene list for response to high dose melphalan therapy in patients diagnosed with multiple myeloma is generated by combining results from dose response experiments and microarray data using a B-cell line panel and the introduction of multivariate regression techniques.

Publication Title

Generation of a predictive melphalan resistance index by drug screen of B-cell cancer cell lines.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE26049
Expression data from patients with Essentiel Thrombocythemia (ET), Polycythemia Vera (PV), Primary Myelofibrosis (PMF) and control subjects
  • organism-icon Homo sapiens
  • sample-icon 91 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We used microarrays to assess gene expression in patients with ET, PV, and PMF compared to control subjects

Publication Title

Whole-blood transcriptional profiling of interferon-inducible genes identifies highly upregulated IFI27 in primary myelofibrosis.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE7638
Expression data from monocytes of individuals with different collateral flow index CFI
  • organism-icon Homo sapiens
  • sample-icon 160 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

using peripheral blood monocytes to identify marker genes for an extensively grown coronary collateral circulation.

Publication Title

Non-invasive gene-expression-based detection of well-developed collateral function in individuals with and without coronary artery disease.

Sample Metadata Fields

Sex, Age

View Samples
accession-icon GSE16558
MicroRNAs in Myeloma
  • organism-icon Homo sapiens
  • sample-icon 65 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Specific microRNA (miRNA) signatures have been associated with different cytogenetic subtypes in acute leukemias. This finding prompted us to investigate potential associations between genetic abnormalities in multiple myeloma (MM) and singular miRNA expression profiles. Moreover, global gene expression profiling was also analyzed to find correlated miRNA-gene expression and select miRNA target genes that show such correlation. For this purpose, we analyzed the expression level of 365 miRNAs and the gene expression profiling in sixty newly diagnosed MM patients, selected to represent the most relevant recurrent genetic abnormalities. Supervised analysis showed significantly deregulated miRNAs in the different cytogenetic subtypes as compared to normal PC. Interestingly, miR-1 and miR-133a clustered on the same chromosomal loci, were specifically overexpressed in the cases with t(14;16). The analysis of the relationship between miRNA expression and their respective target genes showed a conserved inverse correlation between several miRNAs deregulated in MM cells and CCND2 expression level. These results illustrate, for the first time, that miRNA expression pattern in MM is associated with genetic abnormalities, and that the correlation of the expression profile of miRNA and their putative mRNA targets is useful to find statistically significant protein-coding genes in MM pathogenesis associated to changes in specific miRNAs.

Publication Title

Deregulation of microRNA expression in the different genetic subtypes of multiple myeloma and correlation with gene expression profiling.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE9960
Gene-expression profiling of peripheral blood mononuclear cells in sepsis
  • organism-icon Homo sapiens
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To identify signature genes that help distinguish (1) sepsis from non-infectious causes of systemic inflammatory response syndrome, (2) between Gram-positive and Gram-negative sepsis.

Publication Title

Gene-expression profiling of peripheral blood mononuclear cells in sepsis.

Sample Metadata Fields

No sample metadata fields

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

Powered by Alex's Lemonade Stand Foundation

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.

BSD 3-Clause LicensePrivacyTerms of UseContact