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accession-icon GSE1419
Pancreatic T regulatory vs. T effector cells
  • organism-icon Mus musculus
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Comparison of gene expression between T regulatory and T effector cells isolated from the pancreatic lesion of 3-4 wk old BDC2.5 tg NOD mice

Publication Title

Where CD4+CD25+ T reg cells impinge on autoimmune diabetes.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE8279
Transgenerational Stability of the Arabidopsis Epigenome Is Coordinated by CG Methylation
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Maintenance of CG methylation (mCG) patterns is essential for chromatin-mediated epigenetic regulation of transcription in plants and mammals. Using successive generations of an Arabidopsis thaliana mutant deficient in maintaining mCG, we found that mCG loss triggered genome-wide activation of alternative epigenetic mechanisms. However, these mechanisms involving RNA-directed DNA methylation, inhibiting expression of DNA demethylases, and retargeting of histone H3K9 methylation act in a stochastic and uncoordinated fashion. As a result, new and aberrant epigenetic patterns were progressively formed over several plant generations in the absence of mCG. Interestingly, the unconventional redistribution of epigenetic marks was necessary to rescue the loss of mCG, since mutant plants impaired in rescue activities were severely dwarfed and sterile. Our results provide evidence that mCG is a central coordinator of epigenetic memory that secures stable transgenerational inheritance in plants.

Publication Title

Transgenerational stability of the Arabidopsis epigenome is coordinated by CG methylation.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP073810
RNA sequencing analysis of human podocytes reveals glucocorticoid regulated gene networks targeting non-immune pathways
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

To understand the nature of glucocorticoids targeting non-immune cell function, we generate RNA sequencing data from 3 human podocyte cell lines derived from 3 kidney transplant donors and identify the genes that are significantly regulated in dexamethasone-treated podocytes compared to vehicle-treated cells.Our results represent a significant step forward in the genome-wide characterization of the molecular effects of glucocorticoids on human podocytes. The resource generated in this study is important for understanding the targeting of non-immune cell function by glucocorticoids and also for designing more specific podocyte-targeted agents for MCN therapy. Overall design: Transcriptome profiles of human podocytes treated with vehicle and dexamethasone were generated by RNA-sequencing using Illumina HiSeq 2500

Publication Title

RNA sequencing analysis of human podocytes reveals glucocorticoid regulated gene networks targeting non-immune pathways.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE12644
Gene expression profile of normal and calcified stenotic human aortic valves
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We explored gene expression profile of human aortic valves in patients with or without aortic stenosis. The dataset that we generated constitutes a large-scale quantitative measurements of gene expression in normal and stenotic human valves. The goal was to compare gene expression levels between the two groups and identified a list of genes that are up- or down-regulated in aortic stenosis.

Publication Title

Refining molecular pathways leading to calcific aortic valve stenosis by studying gene expression profile of normal and calcified stenotic human aortic valves.

Sample Metadata Fields

Sex, Age

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accession-icon GSE42276
Gene expression profile of conventional T cells (Tconv) and regulatory T cells (Treg) stimulated with anti-costimulatory molecule antibodies
  • organism-icon Mus musculus
  • sample-icon 85 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Co-stimulatory molecules of the CD28 family on T lymphocytes integrate cues from innate immune system sensors, and modulate activation responses in conventional CD4+ T cells (Tconv) and their FoxP3+ regulatory counterparts (Treg). To better understand how costimulatory and co-inhibitory signals might be integrated, we profiled the changes in gene expression elicited in the hours and days after engagement of Treg and Tconv by anti-CD3 and either anti-CD28, -CTLA4, -ICOS, -PD1, -BTLA or -CD80.

Publication Title

Convergent and divergent effects of costimulatory molecules in conventional and regulatory CD4+ T cells.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE110308
Treg cells limit IFN-g production to control macrophage accrual and phenotype during skeletal muscle regeneration
  • organism-icon Mus musculus
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

We report transcriptional characterization of skeletal muscle macrophage subsets in normal and injured muscle after intramuscular injection with cardiotoxin. We profiled transcriptional differences in macrophage subsets from mice depleted of Treg cells using Foxp3-DTR mice. We uncovered an IFN-g-centered regulatory loop, in which Treg cells inhibit NK and T cells to control macrophage accumulation and phenotype during muscle regeneration.

Publication Title

T<sub>reg</sub> cells limit IFN-γ production to control macrophage accrual and phenotype during skeletal muscle regeneration.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE1085
Profiling of aggressive vs benign pancreatic infiltrates in the BDC2.5 Tg model of Type I diabetes
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

This study was performed to understand what controls the aggressivity of the pancreatic infiltrate during type-I diabetes development. We used the BDC2.5 transgenic mouse model. Samples were obtained at the age of onset of insultis. Depending on their genetic background, mice transgenic for the BDC2.5 T cell receptor present very different forms of insulitis. The NOD genetic background leads to a benign insulitis whereas the C57Bl/6-H2g7/g7 leads to an aggressive insulitis. We first studied how antigen-specific T cells are affected by these differences by obtaining the transcriptional profiles of BDC2.5 T cells from pancreas and pancreatic lymph nodes. We also compared the gene expression profiles of the entire leukocyte population present in the pancreatic lesion.

Publication Title

Natural killer cells distinguish innocuous and destructive forms of pancreatic islet autoimmunity.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE3039
Innate vs. adaptive lymphocyte gene expression
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Three innate (B1-B, NKT, CD8aaT cells) and adaptive (B2-B, CD4T, CD8abT cells) cell-types were sorted by FACS. Three biological replicates for NKT, CD4T, CD8aaT, CD8abT cells and two biological replicates for B1 and B2 cells were generated and the expression profiles were determined using Affymetrix Mu74Av2 chip. Comparisons between the sample groups allow the identification of genes differentially expressed between the innate and adaptive cell-types.

Publication Title

A shared gene-expression signature in innate-like lymphocytes.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE12073
Expression data from transgenic Aire expressing pancreatic islets
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The aim of this study was to determine the effect of transgenic Aire expression on the transcriptional profile of a tissue that normally does not express Aire: pancreatic islets. The transcriptional profile of transgenic RIP-Aire27 islets was compared to non-transgenic littermate islets as well as to archival NOD thymic medullary epithelial cells (MEC) data. All data were from non-obese diabetic (NOD) mice

Publication Title

Transcriptional impact of Aire varies with cell type.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE1112
RTOC thymocytes
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Four independent chip hybridization with RNAs from four independent RTOC cultures.

Publication Title

Self-reactivity in thymic double-positive cells commits cells to a CD8 alpha alpha lineage with characteristics of innate immune cells.

Sample Metadata Fields

No sample metadata fields

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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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