refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 180 results
Sort by

Filters

Technology

Platform

accession-icon GSE94609
PD-1 regulates KLRG1+ group 2 innate lymphoid cells
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Group 2 innate lymphoid cells (ILC-2s) regulate immune responses to pathogens, allergens, tissue remodeling and metabolic homeostasis in response to cytokines. Positive regulation of ILC-2s through ICOS has been recently elucidated but co-receptor mediated negative regulatory axis is yet to be defined.

Publication Title

PD-1 regulates KLRG1<sup>+</sup> group 2 innate lymphoid cells.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE113815
PD-1 through asparaginyl endopeptidase regulates FoxP3 Stability in Induced Regulatory T cells
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

CD4+ T cell differentiation into multiple T helper lineages is critical for optimal adaptive immune responses. This report identified a novel intrinsic mechanism by which PD-1 signaling imparted regulatory phenotype to FoxP3+ Th1 cells (denoted as Tbet+iTregPDL1 cells) and iTregs. Tbet+iTregPDL1 cells were capable of preventing inflammation in murine models of experimental colitis and experimental graft versus host disease. PDL-1 binding to PD-1 imparted regulatory function to Tbet+iTregPDL1 cells and iTregs by specifically downregulating an endolysosomal protease asparaginyl endopeptidase (AEP)

Publication Title

PD-1 Inhibitory Receptor Downregulates Asparaginyl Endopeptidase and Maintains Foxp3 Transcription Factor Stability in Induced Regulatory T Cells.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP136484
Viral shRNA Knockdown of INS Promotor Activity in EndoC-ßH1 Cells 
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

To inhibit INS expression, we used shRNA to target the INS promoter. We find that knocking down INS expression with such an shRNA targeting the INS promoter significantly affects expression of 259 genes. Overall design: mRNA profiles of EndoC ßH1 with or without shRNA targetting INS promoter were generated by deep sequencing, in triplicate, using Illumina Hiseq 2500.

Publication Title

<i>Insulin</i> promoter in human pancreatic β cells contacts diabetes susceptibility loci and regulates genes affecting insulin metabolism.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

View Samples
accession-icon SRP098927
A Cross-Species Approach Identifies MELK as a Potential Therapeutic Target in Prostate Cancer
  • organism-icon Mus musculus
  • sample-icon 912 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Genetically engineered mouse models of cancer represent valuable biological tools that can be used to filter genome-wide expression datasets generated from human prostate tumours, and identify gene expression alterations that are functionally important to cancer development and progression. In this study, we have generated RNASeq data from tumours arising in two established mouse models of prostate cancer, PB-Cre/PtenloxP/loxP and p53loxP/loxPRbloxP/loxP, and integrated this with published human prostate cancer expression data to pinpoint cancer-associated gene expression changes that are conserved between the two species. In order to identify potential therapeutic targets, we then filtered this information for genes that are either known or predicted to be druggable. Using this approach, we identified the serine/threonine kinase MELK as a potential therapeutic target in prostate cancer. MELK was overexpressed in both human and murine prostate cancers, and high expression of MELK was associated with biochemical recurrence in prostate cancer patients. Overall design: 92 Samples

Publication Title

Identification of potential therapeutic targets in prostate cancer through a cross-species approach.

Sample Metadata Fields

Cell line, Subject

View Samples
accession-icon GSE55223
Expression data from Saccharomyces cerevisae RNAPII mutant strains
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

Transcription is a major contributor to genome instability. A main cause of transcription-associated instability relies on the capacity of transcription to stall replication. Such genome instability is increased in RNAPII mutants.

Publication Title

RNA polymerase II contributes to preventing transcription-mediated replication fork stalls.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE37708
Age-specific variation in immune response in Drosophila melanogaster has a genetic basis.
  • organism-icon Drosophila melanogaster
  • sample-icon 46 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

Immunosenescence, the age-related decline in immune system function, is a general hallmark of aging. While much is known about the cellular and physiological changes that accompany immunosenescence, we know very little about the genetic influences on this phenomenon.

Publication Title

Age-specific variation in immune response in Drosophila melanogaster has a genetic basis.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE47899
Genome-wide analysis of liver in male and female mice
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Sexually dimorphic genome-wide binding of retinoid X receptor alpha (RXRα) determines male-female differences in the expression of hepatic lipid processing genes in mice.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE47791
Genome-wide analysis of liver gene expression in male and female mice.
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Analysis of gender differential gene expression levels in mouse liver.

Publication Title

Sexually dimorphic genome-wide binding of retinoid X receptor alpha (RXRα) determines male-female differences in the expression of hepatic lipid processing genes in mice.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE26820
Expression data from GFAP-negative LC cells exposed to 24 hours of hypoxia
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Vascular hypoperfusion is a pathological phenomenon in the glaucomatous optic nerve head. We report transcriptional responses in GFAP-negative LC cells exposed to in-vitro hypoxic stress (1%O2).

Publication Title

Hypoxia regulated gene transcription in human optic nerve lamina cribrosa cells in culture.

Sample Metadata Fields

Specimen part

View Samples
accession-icon E-MEXP-547
Transcription profiling of elicitor treatment over time (0, 30, 60 min) in Arabidopsis Landsberg (wt) and fls2-17 (flagellin receptor mutant)
  • organism-icon Arabidopsis thaliana
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Transcriptional changes upon elicitor treatment over time (0, 30, 60 min) have been analysed with the A.thaliana Landsberg (wt) and fls2-17 (flagellin receptor mutant).

Publication Title

Perception of the bacterial PAMP EF-Tu by the receptor EFR restricts Agrobacterium-mediated transformation.

Sample Metadata Fields

Age, Compound, Time

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