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accession-icon GSE26343
Gene expression from bone-marrow derived macrophages.
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Gene expression from WT and NFAT5 KO primary macrophage cultures.

Publication Title

Gene expression induced by Toll-like receptors in macrophages requires the transcription factor NFAT5.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon SRP090801
Comparison of tbx5-positive ventricular cardiomyoctes with the rest of ventricular cardiomyocytes from adult zebrafish hearts
  • organism-icon Danio rerio
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

In vertebrates, the heart has two main layers of cardiac muscle, a peripheral compact layer and an internal trabecular layer. Little is known on the differerences in gene expression between both layers. In zebrafish the outer layer is named cortical layer and the internal also trabecular layer. Here we used a double transgenic line labelling with GFP tbx5-positive cells and cardiomyoctes with nuclear DsRed (nucDsRed) to distinguish cortical from trabecular myocardium. Then, we compared the transcriptome of trabecular and cortical myocardium in the adult zebrafish. We describe that Tbx5a is a good marker of trabecular myocardium. Overall design: Four paired biological replicates consisting on Tbx5-positive and Tbx5-negative adult zebrafish ventricular cardiomyocytes were analysed by RNA-seq to compare their transcriptomic profiles.

Publication Title

Tbx5a lineage tracing shows cardiomyocyte plasticity during zebrafish heart regeneration.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE34936
NOD genetic variation influences ab/gd lineage decisions when TCRa is prematurely expressed, but not the process of negative selection.
  • organism-icon Mus musculus
  • sample-icon 59 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Thymic negative selection is functional in NOD mice.

Sample Metadata Fields

Sex, Age

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accession-icon GSE34934
Expression data from BDC2.5 TCR Tg, preselected Rag-/-.B6 and Rag-/-.NOD.H2b thymocytes upon antigenic stimulation
  • organism-icon Mus musculus
  • sample-icon 43 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The aim of this study was to quantify the impact of NOD genetic vatiation on thymic negative selection transcriptional programs.

Publication Title

Thymic negative selection is functional in NOD mice.

Sample Metadata Fields

Sex, Age

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accession-icon GSE34935
Expression data from BDC2.5 TCR Tg thymocytes on B6g7 and NOD background
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The aim of this study was to quantify the impact of NOD genetic vatiation on the transcriptional programs induced by the alpha beta-TCR at the DN to DP transition in the BDC2.5 TCR Tg model

Publication Title

Thymic negative selection is functional in NOD mice.

Sample Metadata Fields

Sex, Age

View Samples
accession-icon GSE59557
Expression data of in vitro generated regulatory T cells overexpressing E47
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

E47 represses Foxp3 transcription, albeit indirectly through the activation of unknown negative regulatory of Foxp3 transcription.

Publication Title

Id3 Maintains Foxp3 Expression in Regulatory T Cells by Controlling a Transcriptional Network of E47, Spi-B, and SOCS3.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE51498
Regulation of HSF1-mediated transcriptional programs by PGC-1alpha
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We examined global gene expression patterns in response to PGC-1 expression in cells derived from liver or muscle.

Publication Title

Direct link between metabolic regulation and the heat-shock response through the transcriptional regulator PGC-1α.

Sample Metadata Fields

Specimen part

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accession-icon GSE81171
Inhibition of adhesion molecule gene expression and cell adhesion by the metabolic regulator PGC-1alpha
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Cell adhesion plays an important role in determining cell shape and function in a variety of physiological and pathophysiological conditions. While links between metabolism and cell adhesion were previously suggested, the exact context and molecular details of such a cross-talk remain incompletely understood.

Publication Title

Inhibition of Adhesion Molecule Gene Expression and Cell Adhesion by the Metabolic Regulator PGC-1α.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE87100
Control of secreted protein gene expression and the mammalian secretome by the metabolic regulator PGC-1a
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Secreted proteins serve pivotal roles in the development of multicellular organisms, acting as structural matrix, extracellular enzymes and signal molecules. In this study we demonstrate, unexpectedly, that PGC-1, a critical transcriptional co-activator of metabolic gene expression, functions to down-regulate expression of diverse genes encoding secreted molecules and extracellular matrix (ECM) components to modulate the secretome. We show that both endogenous and exogenous PGC-1 down-regulate expression of numerous genes encoding secreted molecules. Mechanistically, results obtained using mRNA stability measurements as well as intronic RNA expression analysis are consistent with a transcriptional effect of PGC-1 on expression of genes encoding secreted proteins. Interestingly, PGC-1 requires the central heat shock response regulator HSF1 to affect some of its targets, and both factors co-reside on several target genes encoding secreted molecules in cells. Finally, using a mass spectrometric analysis of secreted proteins, we demonstrate that PGC-1 modulates the secretome of mouse embryonic fibroblasts (MEFs).

Publication Title

Control of Secreted Protein Gene Expression and the Mammalian Secretome by the Metabolic Regulator PGC-1α.

Sample Metadata Fields

Specimen part

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accession-icon GSE20596
MicroRNA-Based Classification of Hepatocellular Carcinoma and Oncogenic Role of miR-517a
  • organism-icon Homo sapiens
  • sample-icon 97 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Hepatocellular carcinoma (HCC) is a complex and heterogeneous tumor due to activation of multiple cellular pathways and molecular alterations. Herein, we report the first molecular classification of 89 HCC based on the expression of 358 microRNAs and integrative genomic analysis. Three main subclasses of HCC were identified : two of them were associated with beta-catenin mutations or aggressive phenotype. A subset of the subclass of aggressive tumors (8/89, 9%) showed overexpression of a cluster of microRNAs located on chr19q13.41 (C19MC locus. We showed that miR 517a, representing C19MC, promoted cell proliferation, migration and invasion in vitro and induced the development of aggressive tumors in vivo suggesting its role as a novel oncogenic driver in HCC.

Publication Title

MicroRNA-based classification of hepatocellular carcinoma and oncogenic role of miR-517a.

Sample Metadata Fields

Sex, Age, Specimen part

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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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