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accession-icon SRP167701
ImmGen ULI: OpenSource Mononuclear Phagocytes Project
  • organism-icon Mus musculus
  • sample-icon 412 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Primary RNASeq data for progenitor, resident, and stimulated (C.alb, LPS, injury, APAP+ starved overnight and pIC) mononuclear phagocytes from fourteen organs. Overall design: RNASeq data for over 400 samples comprising of 130 populations submitted by 16 labs (both non-ImmGen and ImmGen labs) from 8 locations around the world for ImmGen OpenSource Mononuclear Project. Samples were sorted in these facilities using ImmGen's stringent ULI protocol and shipped to one location for library preparation and sequencing. Contributor: Immunological Genome Project Consortium

Publication Title

ImmGen report: sexual dimorphism in the immune system transcriptome.

Sample Metadata Fields

Age, Specimen part, Cell line, Subject

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accession-icon SRP176663
ImmGen ULI: Male-Female Immune Differences
  • organism-icon Mus musculus
  • sample-icon 190 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Primary RNA Seq data for 11 diverse immunocyte populations from male and female mice of varying ages stimulated with different dose of IFN and sequenced using ImmGen's standard ultra-low input RNA-seq pipeline Overall design: RNASeq data for 11 cell populations from male and female mice generated by ImmGen labs to study sexual differences in the immune system (companion ATACseq datasets are found in GSE100738). These mice comprised of varying ages, including 6-8weeks and 2- 20months old. In addition, mice were stimulated with 1K and 10K Type 1 interferon to understand sex specific responses. contributor: Immunological Genome Project Consortium

Publication Title

ImmGen report: sexual dimorphism in the immune system transcriptome.

Sample Metadata Fields

Sex, Age, Specimen part, Cell line, Subject

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accession-icon GSE60236
Variation in primary CD4+ T cell response to activation across time and people
  • organism-icon Homo sapiens
  • sample-icon 103 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

Intersection of population variation and autoimmunity genetics in human T cell activation.

Sample Metadata Fields

Sex, Age, Race, Subject

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accession-icon GSE60235
Expression data measured by microarray of CD4+ T cells from healthy individuals stimulated with anti-CD3/CD28
  • organism-icon Homo sapiens
  • sample-icon 74 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SubSeries in the ImmVar project investigates the response of selected genes in T cells from healthy human individuals to ascertain the impact of genetic or non-genetic variation on T cell activation parameters.

Publication Title

Intersection of population variation and autoimmunity genetics in human T cell activation.

Sample Metadata Fields

Sex, Age, Race, Subject

View Samples
accession-icon GSE60234
Time course expression measured by microarray of fresh CD4+ response to activation from healthy individuals
  • organism-icon Homo sapiens
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Variation in individuals' adaptive immune response is believed to influence susceptibility to complex diseases in humans. The genetic basis of such variation is poorly understood.

Publication Title

Intersection of population variation and autoimmunity genetics in human T cell activation.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE146615
Mendelian randomization identifies FLCN expression as a mediator of diabetic retinopathy
  • organism-icon Homo sapiens
  • sample-icon 144 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

The goal of the study was to identify genes whose aberrant expression can contribute to diabetic retinopathy. We determined differential response in gene expression to high glucose in lymphoblastoid cell lines derived from matched type 1 diabetic individuals with and without retinopathy. Those genes exhibiting the largest difference in glucose response between diabetic subjects with and without retinopathy were assessed for association to diabetic retinopathy utilizing genotype data from a meta-genome-wide association study. All genetic variants associated with gene expression (expression QTLs; eQTLs) of the glucose response genes were tested for association with diabetic retinopathy. We detected an enrichment of the glucose response gene eQTLs among small association p-values for diabetic retinopathy. Among these, we identified FLCN as a susceptibility gene for diabetic retinopathy. Expression of FLCN in response to glucose is greater in individuals with diabetic retinopathy compared to diabetic individuals without retinopathy. Three large, independent cohorts of diabetic individuals revealed an enhanced association of FLCN eQTL to diabetic retinopathy. Mendelian randomization confirmed a direct positive effect of increased FLCN expression on retinopathy in diabetic individuals. Together, our studies integrating genetic association and gene expression implicate FLCN as a disease gene in diabetic retinopathy.

Publication Title

Integration of genomics and transcriptomics predicts diabetic retinopathy susceptibility genes.

Sample Metadata Fields

Cell line

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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
accession-icon GSE56035
Immune Variation Project (ImmVar)
  • organism-icon Homo sapiens
  • sample-icon 980 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

Polarization of the effects of autoimmune and neurodegenerative risk alleles in leukocytes.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE56033
Immune Variation Project (ImmVar) [CD4]
  • organism-icon Homo sapiens
  • sample-icon 499 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Gene expression profiling of CD4 T-Cells (CD4+CD62L+) from human peripheral blood mononuclear cells (PBMCs). PBMCs were isolated from healthy individuals from the Boston area.

Publication Title

Polarization of the effects of autoimmune and neurodegenerative risk alleles in leukocytes.

Sample Metadata Fields

Sex, Age, Specimen part

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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