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accession-icon GSE71274
IFNg+ vs IFNg- Treg
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression studies comparing IFNg+ Tregs versus IFNg- Tregs from human peripheral blood

Publication Title

AKT isoforms modulate Th1-like Treg generation and function in human autoimmune disease.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE37207
Olig2 defines subpopulations of retinal progenitor cells
  • organism-icon Mus musculus
  • sample-icon 48 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Previous lineage analyses have shown that retinal progenitor cells (RPCs) are multipotent throughout development, and expression profiling studies have shown a great deal of molecular heterogeneity among RPCs. To determine if the molecular heterogeneity predicts that an RPC will produce particular types of progeny, clonal lineage analysis was used to investigate the progeny of a subset of RPCs, those that express the basic helix-loop-helix (bHLH) transcription factor, Olig2. In contrast to the large and complex set of clones generated by viral marking of random embryonic RPCs, the embryonic Olig2+ RPCs underwent terminal divisions, producing small clones with primarily two of the five cell types being made by the pool of RPCs at that time. The embryonically produced cell types made by Olig2+ RPCs were cone photoreceptors and horizontal cell (HC) interneurons. Moreover, the embryonic Olig2+ RPC did not make the later Olig2+ RPC. The later, postnatal Olig2+ RPCs also made terminal divisions, which were biased towards production of rod photoreceptors and amacrine cell (AC) interneurons. These data indicate that the multipotent progenitor pool is made up of distinctive types of RPCs, which have biases towards producing subsets of retinal neurons in a terminal division, with the types of neurons produced varying over time. This strategy is similar to that of the developing Drosophila melanogaster ventral nerve cord, with the Olig2+ cells behaving as ganglion mother cells.

Publication Title

Transcription factor Olig2 defines subpopulations of retinal progenitor cells biased toward specific cell fates.

Sample Metadata Fields

Specimen part

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accession-icon SRP056049
Functional Inflammatory Profiles Distinguish Myelin-Reactive T Cells from Patients with Multiple Sclerosis
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

Myelin-reactive T cells have been identified in patients with multiple sclerosis (MS) and healthy subjects with comparable frequencies, but the contribution of these autoreactive T cells to disease pathology remains unknown. A total of 13,324 T cell libraries generated from blood of 23 patients and 22 healthy controls were interrogated for reactivity to myelin antigens. Libraries derived from CCR6+ myelin-reactive T cells from patients with MS exhibited significantly enhanced production of IFN-?, IL-17, and GM-CSF compared to healthy controls. Single-cell clones isolated by MHC/peptide tetramers from CCR6+ T cell libraries also secreted more pro-inflammatory cytokines while clones isolated from controls secreted more IL-10. The transcriptomes of myelin-specific CCR6+ T cells from patients with MS were distinct from those derived from healthy controls, and of note, were enriched in Th17-induced experimental autoimmune encephalitis (EAE) gene signatures and gene signatures derived from Th17 cells isolated other human autoimmune diseases. These data, although not casual, imply that functional differences between antigen specific T cells from MS and healthy controls is fundamental to disease development and support the notion that IL-10 production from myelin-reactive T cells may act to limit disease progression, or even pathogenesis. Overall design: Four conditions of purified T cells with between 3 and 5 replicates per condition

Publication Title

Functional inflammatory profiles distinguish myelin-reactive T cells from patients with multiple sclerosis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE42569
Gene expression analysis of human CD4+ T cells differentiated into Th17 cells in the presence of high-salt
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Th17 cells are believed to be a critical cell population for driving autoimmune diseases. However, environmental factors that are directly related to the development of Th17 cells are largely unknown.

Publication Title

Sodium chloride drives autoimmune disease by the induction of pathogenic TH17 cells.

Sample Metadata Fields

Specimen part

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accession-icon SRP179766
Mouse skin samples after Zika virus-infected mosquito bites
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

Mouse skin bitten by Zika virus-infected mosquitoes were isolated and performed RNA-seq Overall design: Examination of host responses after Zika virus-infected mosquito bites, in duplicate

Publication Title

Aedes aegypti AgBR1 antibodies modulate early Zika virus infection of mice.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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accession-icon SRP159079
Human Treg IL-12 stimulation
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Human Tregs isolated from PBMCs were cultured in the absence or presence of IL-12 (20ng/ml) for four days and were performed mRNA-seq. Overall design: mRNA profiles of human Treg stimulated with IL-12 (Th1 condition)

Publication Title

Activated β-catenin in Foxp3<sup>+</sup> regulatory T cells links inflammatory environments to autoimmunity.

Sample Metadata Fields

Age, Subject

View Samples
accession-icon GSE39820
Induction and molecular signature of pathogenic Th17 cells
  • organism-icon Mus musculus
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

TGF-beta3 produced by developing Th17 cells induces highly pathogenic T cells that are functionally and molecularly distinct from TGF-beta1-induced Th17 cells. The microarray data represent a distinct molecular signature for pathogenic versus non-pathogenic Th17 cells.

Publication Title

Induction and molecular signature of pathogenic TH17 cells.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE11582
Genetic Analysis of Human Traits In-Vitro: Drug Response and Gene Expression in Lymphoblastoid Cell Lines
  • organism-icon Pan troglodytes, Homo sapiens
  • sample-icon 355 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Lymphoblastoid cell lines (LCLs), originally collected as renewable sources of DNA, are now being used as a model system to study genotype-phenotype relationships in human cells. These cell lines have been used to search for genetic variants that are associated with drug response as well as with more basic cellular traits such as RNA levels. In setting out to extend such studies by searching for genetic variants contributing to drug response, we observed that phenotypes in LCLs were, in our lab and others, significantly affected by experimental confounders (i.e. in vitro growth rate, metabolic state, and relative levels of the Epstein-Barr virus used to transform the cells). As we did not find any SNPs associated with genome-wide significance to drug response, we evaluated whether incorporating RNA expression levels (and eQTLs) in the analysis could increase power to detect such effects. As previously shown, cis-acting eQTLs were detectable for a sizeable fraction of RNAs and baseline levels of many RNAs predicted response to several drugs. However, we found only limited evidence that SNPs influenced drug response through their effect on expression of RNA. Efforts to use LCLs to map genes underlying cellular traits will require great care to control experimental confounders, unbiased methods for integrating and interpreting such multi-dimensional data, and much larger sample sizes than have been applied to date.

Publication Title

Genetic analysis of human traits in vitro: drug response and gene expression in lymphoblastoid cell lines.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE57542
Expression data measured by Nanostring and microarray of monocyte-derived dendritic cells from healthy individuals stimulated with LPS, influenza, or IFN-beta, or left unstimulated
  • organism-icon Homo sapiens
  • sample-icon 228 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Common genetic variants modulate pathogen-sensing responses in human dendritic cells.

Sample Metadata Fields

Sex, Age, Race, Subject

View Samples
accession-icon GSE53166
Expression data measured by microarray of monocyte-derived dendritic cells from healthy individuals stimulated with LPS, influenza, or left unstimulated
  • organism-icon Homo sapiens
  • sample-icon 113 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Variation in individuals' responses to environmental factors is believed to influence susceptibility to complex diseases in humans. The genetic basis of such variation is poorly understood. We measured gene expression from resting and stimulated dendritic cells (DCs) derived from the peripheral blood of healthy individuals. We stimulated the primary DCs with E. coli lipopolysaccharide (LPS) or influenza virus. Using serial replicate samples, we selected genes that showed evidence of reproducibility within the serial replicates.

Publication Title

Common genetic variants modulate pathogen-sensing responses in human dendritic cells.

Sample Metadata Fields

Sex, Age, Race, Subject

View Samples
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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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