refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 111 results
Sort by

Filters

Technology

Platform

accession-icon GSE74780
Expression data from WT and Klrc1-/- CD8+ T cells
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

CD8+ T cells and NK cells protect from viral infections by killing virally-infected cells and secreting interferon-g. Several inhibitory receptors limit the magnitude and duration of these anti-viral responses.

Publication Title

The Inhibitory Receptor NKG2A Sustains Virus-Specific CD8⁺ T Cells in Response to a Lethal Poxvirus Infection.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE53312
Microarray analysis of WT and L-Myc-deficient DC subsets
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Analysis of L-Myc-dependent genes in pDCs and classical DC subsets with and without stimulation.

Publication Title

L-Myc expression by dendritic cells is required for optimal T-cell priming.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon SRP064982
Dnmt3a regulates myeloproliferation and liver-specific homing and expansion of hematopoietic stem and progenitor cells (RNA-Seq)
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

DNMT3A mutations are observed in myeloid malignancies, including myeloproliferative neoplasms (MPN), myelodysplastic syndromes (MDS), and acute myeloid leukemia (AML). Here we investigated the impact of conditional hematopoietic Dnmt3a loss on disease phenotype in primary mice. Dnmt3a ablation led to a lethal, fully penetrant myeloproliferative neoplasm with myelodysplasia (MDS/MPN) characterized by marked, progressive hepatomegaly that was transplantable. We detected expanded stem/progenitor populations in the liver of Dnmt3a-ablated mice. Homing studies showed that Dnmt3a-deleted bone marrow cells preferentially migrated to the liver. Hence, in addition to the established role of Dnmt3a in regulating self-renewal, Dnmt3a regulates tissue tropism and limits myeloid progenitor expansion in vivo. Overall design: Dnmt3af/f mice (Nguyen et al) were crossed into hematopoietic-specific inducible Mx1-Cre deletor line; we examined transcriptomes from FACS-sorted LSK and GMP populations from Dnmt3af/f Mx1-Cre+ (KO) and Dnmt3af/f Mx1-Cre- (CTRL) animals at 12 months of age

Publication Title

Dnmt3a regulates myeloproliferation and liver-specific expansion of hematopoietic stem and progenitor cells.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon GSE137110
Chronic mucocutaneous candidiasis and connective tissue disorder in humans with impaired JNK1-dependent responses to IL-17A/F and TGF-?
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Chronic mucocutaneous candidiasis and connective tissue disorder in humans with impaired JNK1-dependent responses to IL-17A/F and TGF-β.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Treatment, Time

View Samples
accession-icon SRP060655
Differential expression profiles of type I JAK inhibitor persistent vs. naïve MPN cells
  • organism-icon Homo sapiens
  • sample-icon 33 Downloadable Samples
  • Technology Badge IconIonTorrentProton

Description

The type I JAK inhibitor ruxolitinib is approved for therapy of MPN patients but evokes resistance with longer exposure. Several novel type I JAK inhibitors were studied and we show that they uniformly induce resistance via a shared mechanism of JAK family heterodimer formation.Here we studied the expression profiles of SET2 cell lines persistent to several different type I JAK inhibitors in comparison to naive SET2 cells or in comparison to SET2 cells with acute exposure to ruxolitinib. Overall design: Analysis of RNA isolated from several type I JAK inhibitor SET2 cell lines in comparison to naïve SET2 cells

Publication Title

CHZ868, a Type II JAK2 Inhibitor, Reverses Type I JAK Inhibitor Persistence and Demonstrates Efficacy in Myeloproliferative Neoplasms.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP121474
Polyol pathway links glucose metabolism to the aggressiveness of cancer cells
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Cancer cells alter their metabolism to support their malignant properties. By transcriptomic analysis we identified the glucose-transforming polyol pathway (PP) gene aldo-keto-reductase-1-member-B1 (AKR1B1) as strongly correlated with epithelial-to-mesenchymal transition (EMT). This association was confirmed staining samples from lung cancer patients and from an EMT-driven colon cancer mouse model with p53 deletion. In vitro, mesenchymal-like cancer cells showed increased AKR1B1 levels and AKR1B1 knockdown was sufficient to revert EMT. An equivalent level of EMT suppression was measured by targeting the downstream enzyme sorbitol-dehydrogenase (SORD), further pointing at the involvement of the PP. Comparative RNA sequencing profiling confirmed a profound alteration of EMT in PP-deficient cells, revealing a strong repression of TGF-Beta signature genes. Mechanistically, excess glucose was found to promote EMT through autocrine TGF-Beta stimulation, while PP-deficient cells were refractory to glucose-induced EMT. PP represents a molecular link between glucose metabolism and cancer differentiation and aggressiveness, and a novel potential therapeutic target. Overall design: 3x3 biological replicated samples; 2 groups of samples with shRNA-mediated specific gene inhibition and scrambled control cells

Publication Title

Polyol Pathway Links Glucose Metabolism to the Aggressiveness of Cancer Cells.

Sample Metadata Fields

Cell line, Treatment, Subject

View Samples
accession-icon GSE28641
Dynamic Chromatin Localization of Sirt6 Shapes Stress- and Aging- Related Transcriptional Networks
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Dynamic chromatin localization of Sirt6 shapes stress- and aging-related transcriptional networks.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE18677
Cross-platform expression microarray performance in a mouse model of mitochondrial disease therapy
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Microarray expression profiling has become a valuable tool in the evaluation of the genetic consequences of metabolic disease. Although 3-biased gene expression microarray platforms were the first generation to have widespread availability, newer platforms are gradually emerging that have more up-to-date content and/or higher cost efficiency. Deciphering the relative strengths and weaknesses of these various platforms for metabolic pathway level analyses can be daunting. We sought to determine the practical strengths and weaknesses of four leading commercially-available expression array platforms relative to biologic investigations, as well as assess the feasibility of cross-platform data integration for purposes of biochemical pathway analyses. METHODS: Liver RNA from B6.Alb/cre,Pdss2loxP/loxP mice having primary Coenzyme Q deficiency was extracted either at baseline or following treatment with an antioxidant/antihyperlipidemic agent, probucol. Target RNA samples were prepared and hybridized to Affymetrix 430 2.0, Affymetrix Gene 1.0 ST, Affymetrix Exon 1.0 ST, and Illumina Mouse WG-6 expression arrays. Probes on all platforms were re-mapped to coding sequences in the current version of the mouse genome. Data processing and statistical analysis were performed by R/Bioconductor functions, and pathway analyses were carried out by KEGG Atlas and GSEA. RESULTS: Expression measurements were generally consistent across platforms. However, intensive probe-level comparison suggested that differences in probe locations were a major source of inter-platform variance. In addition, genes expressed at low or intermediate levels had lower inter-platform reproducibility than highly expressed genes. All platforms showed similar patterns of differential expression between sample groups, with steroid biosynthesis consistently identified as the most down-regulated metabolic pathway by probucol treatment. CONCLUSIONS: This work offers a timely guide for metabolic disease investigators to enable informed end-user decisions regarding choice of expression microarray platform best-suited to specific research project goals. Successful cross-platform integration of biochemical pathway expression data is also demonstrated, especially for well-annotated and highly-expressed genes. However, integration of gene-level expression data is limited by individual platform probe design and the expression level of target genes. Cross-platform analyses of biochemical pathway data will require additional data processing and novel computational bioinformatics tools to address unique statistical challenges.

Publication Title

Cross-platform expression microarray performance in a mouse model of mitochondrial disease therapy.

Sample Metadata Fields

Sex, Age, Specimen part, Treatment

View Samples
accession-icon GSE28585
Dynamic Chromatin Localization of Sirt6 Shapes Stress- and Aging- Related Transcriptional Networks (Illumina)
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

Sirtuins (Sirt) are a family of enzymes that modify chromatin and other proteins to affect gene activity. Loss of Sirt6 leads to a progeria-like phenotype in mice, but the target of SIRT6 action has been elusive. Here we show that Sirt6 binds to thousands of gene promoters in a stress-inducible fashion, guided by the stress-responsive transcription factor NF-B.

Publication Title

Dynamic chromatin localization of Sirt6 shapes stress- and aging-related transcriptional networks.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon SRP117248
Distinct, OR-specific subsets of axon guidance molecules govern early olfactory map formation
  • organism-icon Danio rerio
  • sample-icon 47 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

We have discovered subsets of axon guidance molecules and transcription factors that are enriched in specific subsets of olfactory sensory neurons. We have demonstrated guidance activity for three of the candidate axon guidance genes we identified, suggesting that this approach is an efficient method for characterizing guidance systems relevant to olfactory axon targeting. Overall design: Single-cell RNASeq of OMP-expressing olfactory sensory neurons was performed by capture on Fluidigm-C1 followed by sequencing on Illumina HiSeq2500

Publication Title

Coordination of olfactory receptor choice with guidance receptor expression and function in olfactory sensory neurons.

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