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accession-icon GSE76794
Gene profiling of primary chicken embryo fibroblasts (CEFs) grown under the conditions of contact-inhibition, serum starvation, or both in comparison to normal cycling cells
  • organism-icon Gallus gallus
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Chicken Genome Array (chicken)

Description

To investigate the differences of expression patterns in primary chicken embryo fibroblasts (CEFs) under conditions of contact-inhibition and serum starvation, we undertook a gene profiling study to characterize the transcriptomes of CEFs grown under conditions of contact inhibition, serum starvation or both, in relation to normal growing (cycling) cells.

Publication Title

Extracellular Signal-Regulated Kinase 2 and CHOP Restrict the Expression of the Growth Arrest-Specific p20K Lipocalin Gene to G0.

Sample Metadata Fields

Specimen part

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accession-icon GSE27291
Expression data from human TCRVg9-positive gamma delta T lymphocytes
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We used microarrays to detail the global programme of gene expression by circulating TCRVgamma9+ gamma delta T cells isolated from healthy individuals,tested either as resting cells or cells activated by phosphoantigen BrHPP and IL-2at an early(+6hrs) and a late (+7days) timepoint.

Publication Title

The gene expression profile of phosphoantigen-specific human γδ T lymphocytes is a blend of αβ T-cell and NK-cell signatures.

Sample Metadata Fields

Specimen part, Disease, Treatment, Subject, Time

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accession-icon GSE95233
Fractalkine receptor CX3CR1 and leukocyte Ig-like receptor B2 LILRB2 are prognostic biomarkers in septic shock
  • organism-icon Homo sapiens
  • sample-icon 120 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Sepsis is a major health concern, with high morbidity and mortality workdwide. In order to identify prognostic biomarkers in septic shock patients, we performed a microarray study exploring the early modulation of gene expression according to day 28 mortality.

Publication Title

Modulation of LILRB2 protein and mRNA expressions in septic shock patients and after ex vivo lipopolysaccharide stimulation.

Sample Metadata Fields

Sex, Age, Time

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accession-icon GSE15796
Spatiotemporal Analysis of Transcriptome in the paraxial mesoderm of zebrafish embryos
  • organism-icon Danio rerio
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Zebrafish Genome Array (zebrafish)

Description

Differentially expressed genes along the paraxial mesoderm of 12 somite stage zebrafish embryos are identified

Publication Title

Spatiotemporal compartmentalization of key physiological processes during muscle precursor differentiation.

Sample Metadata Fields

Specimen part

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accession-icon GSE34234
Microarrays analysis of anti-Enterovirus 71 activity of Heparin
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We have previously shown that Heparin (Hep) significantly inhibited Enterovirus 71 (EV71) infection and binding in both Vero and a human neural cell line, SK-N-SH, in vitro. Therefore, in this study we intended to gain insight into the cellular and molecular mechanisms of action of Hep against clinical EV71 infection in neural cells. Instead of stating a long list of gene functions and pathways, we tried to select for EV71-induced genes that were exclusively affected by antiviral activity of Hep through a multi-level comparison and characterization.

Publication Title

Global impact of heparin on gene expression profiles in neural cells infected by enterovirus 71.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP007864
Transcriptome changes in IL-10 treated peritoneal macrophages
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

To try to identify the mechanism of STAT3s indirect action we have used a genomic approach to map the binding sites of STAT3 within the genome and also used RNA-seq technology to map the changes in RNA expression and transcript isoform abundance in response to IL-10. Overall design: Examination of transcriptome changes in peritoneal macrophages when treated with IL-10 for 4 hours. RNA was extracted and sequenced.

Publication Title

Genome-wide analysis of STAT3 binding in vivo predicts effectors of the anti-inflammatory response in macrophages.

Sample Metadata Fields

Sex, Specimen part, Cell line, Subject

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accession-icon SRP009895
Systematic RNA-seq analysis of the early events of CD4+ T cell activation
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

RNA-seq was used to look at the transcriptome changes and the early events of T cell receptor stimulation in CD4+ T cells Overall design: CD4+ T cells were stimulated with immobilised anti-CD3/CD28 antibodies for 4 hours and RNA was extracted and subjected to RNA-seq analysis.

Publication Title

Discovery and characterization of new transcripts from RNA-seq data in mouse CD4(+) T cells.

Sample Metadata Fields

Sex, Specimen part, Cell line, Treatment, Subject

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accession-icon GSE47092
Effects of bacterium Burkholderia phytofirmans PsJN in Arabidopsis
  • organism-icon Arabidopsis thaliana
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Plant growth promoting rhizobacteria (PGPR) induce positive effects in plants, such as increased growth or reduced stress susceptibility. The mechanisms behind PGPR/plant interaction are poorly understood, as most studies have described short- term responses on plants and only a few studies have analyzed plant molecular responses under PGPR colonization.

Publication Title

Effects of the plant growth-promoting bacterium Burkholderia phytofirmans PsJN throughout the life cycle of Arabidopsis thaliana.

Sample Metadata Fields

Specimen part, Time

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accession-icon GSE37554
Genome-wide analysis of gene expression in WT and Erk2 deficient CD4 T cells
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

Effective immune responses depend upon appropriate T cell differentiation in accord with the nature of an infectious agent, and the contingency of differentiation depends minimally on T cell antigen receptor, co-receptor, and cytokine signals. In this reverse genetic study we show that the Map Kinase, Erk2, is nonessential for T cell proliferation in the presence of optimum co-stimulation. Instead, it has opposite polar effects on T-bet and Gata3 expression and hence on Th1 and Th2 differentiation. Alternatively, in the presence of TGFbeta, the Erk pathway suppresses a large program of gene expression effectively limiting the differentiation of Foxp3+ T reg cells. In the latter case, the mechanisms involved include suppression of Gata3 and Foxp3, induction of Tbx21, phosphorylation of Smad2,3, and possibly suppression of Socs2, a positive inducer of Stat5 signaling. Consequently, loss of Erk2 severely impeded Th1 differentiation while enhancing the development of Foxp3+ induced T regulatory cells. Selected profiles of gene expression under multiple conditions of T cell activation illustrate the opposing consequences of Erk pathway signaling.

Publication Title

Polar opposites: Erk direction of CD4 T cell subsets.

Sample Metadata Fields

Specimen part, Time

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accession-icon GSE43881
HIPK2 and MED19 are new regulators of androgen receptor in prostate cancer cells
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The androgen receptor (AR) is a mediator of both androgen-dependent and castration- resistant prostate cancers. Identification of cellular factors affecting AR transcriptional activity could in principle yield new targets that reduce AR activity and combat prostate cancer, yet a comprehensive analysis of the genes required for AR-dependent transcriptional activity has not been determined. Using an unbiased genetic approach that takes advantage of the evolutionary conservation of AR signaling, we have conducted a genome-wide RNAi screen in Drosophila cells for genes required for AR transcriptional activity and applied the results to human prostate cancer cells. We identified 45 AR-regulators, which include known pathway components and genes with functions not previously linked to AR regulation, such as HIPK2 (a protein kinase) and MED19 (a subunit of the Mediator complex). Depletion of HIPK2 and MED19 in human prostate cancer cells decreased AR target gene expression and, importantly, reduced the proliferation of androgen-dependent and castration-resistant prostate cancer cells. We also systematically analyzed additional Mediator subunits and uncovered a small subset of Mediator subunits that interpret AR signaling and affect AR-dependent transcription and prostate cancer cell proliferation. Importantly, targeting of HIPK2 by an FDA approved kinase inhibitor phenocopied the effect of depletion by RNAi and reduced the growth of AR-positive, but not AR negative, treatment-resistant prostate cancer cells. Thus, our screen has yielded new AR regulators including drugable targets that reduce the proliferation of castration-resistant prostate cancer cells.

Publication Title

A genome-wide RNA interference screen identifies new regulators of androgen receptor function in prostate cancer cells.

Sample Metadata Fields

Cell line

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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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