refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 431 results
Sort by

Filters

Technology

Platform

accession-icon GSE13725
Peripheral WBC from Brahman and Holstein-Friesian cattle infested with the cattle tick Rhipicephalus microplus
  • organism-icon Bos indicus, Bos taurus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Bovine Genome Array (bovine)

Description

This trial was undertaken to examine the perhipheral cellular and antibody response of cattle following infestation with the cattle tick, Rhipicephalus microplus. The information from the Affymetrix gene expression data is used to complement other measurements of immune function such as cellular subset composition and antibody response in cattle of high (Brahman) and low (Holstein-Friesian) resistance to the cattle tick.

Publication Title

Immunological profiles of Bos taurus and Bos indicus cattle infested with the cattle tick, Rhipicephalus (Boophilus) microplus.

Sample Metadata Fields

Sex

View Samples
accession-icon GSE20112
Expression data from Sheep longissimus dorsi (LD) muscle during development
  • organism-icon Ovis aries
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Bovine Genome Array (bovine)

Description

Expression data from Sheep longissimus dorsi (LD) muscle during development; fetal lambs (80, 100, 120 days gestation), new born lambs at birth (150 d) and lambs at 12 weeks (230 d)

Publication Title

A gene network switch enhances the oxidative capacity of ovine skeletal muscle during late fetal development.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE67134
Expression data from KSL and GMP cells of FLT3/ITD and FLT3/ITD-SmoM2 mice
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

FLT3/ITD-SmoM2 mice developed rapidly fatal myeloid leukemia compared to FLT3/ITD only mice, suggesting that overactivation of the Hedgehog signaling pathway via SmoM2 can drive myeloid disease progression

Publication Title

Integration of Hedgehog and mutant FLT3 signaling in myeloid leukemia.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE18015
Molecular analysis of ex-vivo CD133+ GBM cells revealed a common invasive and angiogenic profile but different proliferative signatures among high grade gliomas.
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background: Gliomas are the most common type of primary brain tumours, and in this group glioblastomas (GBMs) are the higher-grade gliomas with fast progression and unfortunate prognosis. Two major aspects of glioma biology that contributes to its awful prognosis are the formation of new blood vessels through the process of angiogenesis and the invasion of glioma cells. Despite of advances, two-year survival for GBM patients with optimal therapy is less than 30%. Even in those patients with low-grade gliomas, that imply a moderately good prognosis, treatment is almost never curative. Recent studies have demonstrated the existence of a small fraction of glioma cells with characteristics of neural stem cells which are able to grow in vitro forming neurospheres and that can be isolated in vivo using surface markers such as CD133. The aim of this study was to define the molecular signature of GBM cells expressing CD133 in comparison with non expressing CD133 cells. This molecular classification could lead to the finding of new potential therapeutic targets for the rationale treatment of high grade GBM.

Publication Title

Molecular analysis of ex-vivo CD133+ GBM cells revealed a common invasive and angiogenic profile but different proliferative signatures among high grade gliomas.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE108983
Reprogramming of heterologous cells by defined factors to generate lineage-restricted biomolecules
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The ability of transcriptional regulators to drive lineage conversion of somatic cells offers great potential for the treatment of human disease. While current research in this field is focused on the generation of induced pluripotent stem cells or direct lineage transdifferentiation, less attention has been paid to the possibility of reprogramming cells to produce cytokines, growth factors and hormones. To explore the concept of switching on specific target genes in heterologous cells, we developed a model system to screen candidate factors for their ability to activate the archetypal megakaryocyte-specific chemokine platelet factor 4 (PF4) in fibroblasts. We found that co-expression of the transcriptional regulators GATA1 and FLI1 resulted in a significant increase in levels of PF4, which became magnified over time. We also determined that inclusion of a third factor, TAL1, further enhanced upregulation of PF4 expression. Our study therefore identified of TAL1 as an important component in the combination of transcriptional regulators that contribute to megakaryocyte programming, and demonstrated that such combinations can be used to produce potentially beneficial chemokines in readily available heterologous cell types.

Publication Title

Partial reprogramming of heterologous cells by defined factors to generate megakaryocyte lineage-restricted biomolecules.

Sample Metadata Fields

Time

View Samples
accession-icon GSE1729
Gene expression profile of acute myeloid leukemia
  • organism-icon Homo sapiens
  • sample-icon 43 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Gene expression profile of acute myeloid leukemia.

Publication Title

Gene expression profile reveals deregulation of genes with relevant functions in the different subclasses of acute myeloid leukemia.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE60184
UCSD GBM Data Set
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Total RNA microarray data from Fresh-Frozen Glioblastoma tumor samples.

Publication Title

Epigenetic suppression of EGFR signaling in G-CIMP+ glioblastomas.

Sample Metadata Fields

Specimen part, Disease stage

View Samples
accession-icon GSE66724
Hsp70 protects from stroke in atrial fibrillation patients by preventing thrombosis with no increased bleeding risk
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Atrial fibrillation (AF) is a major risk factor for cardioembolic stroke. Anticoagulant drugs are effective in preventing AF-related stroke. However, the high frequency of anticoagulant-associated major bleeding is a major concern particularly when antiplatelet treatment is simultaneously administered. Here, microarray analysis in peripheral blood cells in eight patients with AF and stroke and eight AF subjects without stroke identified a stroke related gene expression pattern. HSPA1B, which encodes for heat-shock protein 70 kDa (Hsp70), was the most differentially expressed gene. This gene was downregulated in stroke subjects, a finding confirmed further in an independent AF cohort of 200 individuals. Hsp70 knock-out (KO) mice subjected to different thrombotic challenges developed thrombosis significantly earlier than their wild-type (WT) counterparts.

Publication Title

Hsp70 protects from stroke in atrial fibrillation patients by preventing thrombosis without increased bleeding risk.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP052978
Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type and cardiac-specific Bmi1 deletion [human]
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerIIx

Description

To explore the primary cause of Dilated Cardiomyopathy in heart samples from DCM-diagnosed patients who had undergone heart transplant (hDCM), we set out to identify differentially expressed genes by massively parallel sequencing of heart samples. Overall design: Methods: Heart mRNA profiles from DCM-diagnosed patients who had undergone heart transplant (hDCM) were generated by deep sequencing, in triplicate, using Illumina GAIIx.

Publication Title

Bmi1 limits dilated cardiomyopathy and heart failure by inhibiting cardiac senescence.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP051396
Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type and cardiac-specific Bmi1 deletion [mouse]
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

To explore the primary cause of Dilated Cardiomyopathy in Bmi1-null mice, we set out to identify differentially expressed genes by massively parallel sequencing of heart samples from Bmi1f/f;aMHCTM-Cretg/+ mice versus aMHCTM-Cretg/+ control mice (17 weeks postinduction). Overall design: Methods: Heart mRNA profiles of 17-weeks post-induction Bmi1f/f; MHCTM-Cretg/+ mice and MHCTM-Cretg/+ control mice were generated by deep sequencing, in triplicate, using Illumina GAIIx. Sequence reads were pre-processed with Cutadapt 1.2.1, to remove TruSeq adapters and mapped on the mouse transcriptome (Ensembl gene-build GRCm38.v70) using RSEM v1.2.3. The Bioconductor package EdgeR was used to normalize data with TMM and to test for differential expression of genes using GLM.

Publication Title

Bmi1 limits dilated cardiomyopathy and heart failure by inhibiting cardiac senescence.

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