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accession-icon GSE77714
Gene Expression Profiling of human T cells: Combination Therapy with AntiCTLA-4 and AntiPD-1 Leads to Distinct Immunologic Changes In Vivo
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Transcriptome analysis of human peripheral blood T cells

Publication Title

Combination therapy with anti-CTLA-4 and anti-PD-1 leads to distinct immunologic changes in vivo.

Sample Metadata Fields

Sex, Specimen part, Time

View Samples
accession-icon GSE77924
Gene Expression Profiling of human monocytes: Combination Therapy with AntiCTLA-4 and AntiPD-1 Leads to Distinct Immunologic Changes In Vivo
  • organism-icon Homo sapiens
  • sample-icon 39 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Transcriptome analysis of human peripheral blood monocytes

Publication Title

Combination therapy with anti-CTLA-4 and anti-PD-1 leads to distinct immunologic changes in vivo.

Sample Metadata Fields

Sex, Specimen part, Subject, Time

View Samples
accession-icon SRP092280
Transcriptome analysis of tumor-specific CD8 T cells in murine solid tumors
  • organism-icon Mus musculus
  • sample-icon 36 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

RNAseq analysis of CD8 T cells becoming dysfunctional in progressing tumors. The overall goal of this study was to elucidate the molecular program that mediates functional unresponsiveness in tumor-specific CD8 T cells. In comparison, we also investigated CD8 T cells differentiating to functional effector and memory T cells during an acute listeria infection. Overall design: T cells were sorted by flow cytometry and RNA-seq was performed.

Publication Title

Chromatin states define tumour-specific T cell dysfunction and reprogramming.

Sample Metadata Fields

Disease, Disease stage, Cell line, Subject

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accession-icon GSE11103
Study of human immune and memory T cells using microarray
  • organism-icon Homo sapiens
  • sample-icon 39 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Deconvolution of blood microarray data identifies cellular activation patterns in systemic lupus erythematosus.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE11057
Memory T Cell Subsets
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Microarray deconvolution is a technique for quantifying the relative abundance of constituent cells in a mixture based on that mixture's microarray signature and the signatures of the purified constituents. It has been applied to yeast and other systems but not to blood samples.

Publication Title

Deconvolution of blood microarray data identifies cellular activation patterns in systemic lupus erythematosus.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE11058
Immune Cell Line Mixtures
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Microarray deconvolution is a technique for quantifying the relative abundance of constituent cells in a mixture based on that mixture's microarray signature and the signatures of the purified constituents. Its ability to discriminate related human cells is unknown.

Publication Title

Deconvolution of blood microarray data identifies cellular activation patterns in systemic lupus erythematosus.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE33214
RNF20 and USP44 regulate embryonic stem cell differentiation by modulating H2B monoubiquitylation
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

Embryonic stem cells (ESCs) maintain high genomic plasticity, essential for their capacity to enter diverse differentiation pathways. Post-transcriptional modifications of chromatin histones play a pivotal role in maintaining this plasticity. We now report that one such modification, monoubiquitylation of histone H2B on lysine 120 (H2BK120ub1), catalyzed by the E3 ligase RNF20, increases during ESC differentiation and is required for efficient execution of this process. This increase is particularly important for the transcriptional induction of long genes during ESC differentiation. Furthermore, we identify USP44 as a deubiquitinase whose downregulation by differentiation signals contributes to the increase in H2BK120ub1. Our findings suggest that optimal ESC differentiation requires dynamic changes in H2B ubiquitylation patterns, which must occur in a timely and well-coordinated manner.

Publication Title

RNF20 and USP44 regulate stem cell differentiation by modulating H2B monoubiquitylation.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE42892
Microarray Analysis of a Familial Hypertrophic Cardiomyopathy Mouse Model Rescued by a Phospholamban Knockout
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Familial hypertrophic cardiomyopathy (FHC) is a disease characterized by ventricular hypertrophy, fibrosis, and aberrant systolic and/or diastolic function. Our laboratories have previously developed 2 mouse models that affect cardiac performance. One transgenic mouse model encodes an FHC-associated mutation in -tropomyosin (Tm180) that displays severe cardiac hypertrophy with fibrosis and impaired physiological performance. The other model was a gene knockout of phospholamban (PLB), a regulator of calcium uptake in the sarcoplasmic reticulum of cardiomyocytes; the hearts of these mice exhibit hypercontractility with no pathological abnormalities. Previous work in our laboratories show that the hearts of mice that were genetically crossed between the Tm180 and PLB KO mice rescues the hypertrophic phenotype and improves their cardiac morphology and function.

Publication Title

Microarray analysis of active cardiac remodeling genes in a familial hypertrophic cardiomyopathy mouse model rescued by a phospholamban knockout.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE60489
Global heart transcript data from fasted male BXD strains on chow or high fat diet
  • organism-icon Mus musculus
  • sample-icon 79 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Transcript data from heart tissue from fasted-state male BXD strains on chow or high fat diet

Publication Title

Quantifying and Localizing the Mitochondrial Proteome Across Five Tissues in A Mouse Population.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE60149
Global hepatic transcript data from fasted male BXD strains on chow or high fat diet
  • organism-icon Mus musculus
  • sample-icon 81 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Transcript data from livers from fasted-state BXD strains on chow or high fat diet

Publication Title

Multilayered genetic and omics dissection of mitochondrial activity in a mouse reference population.

Sample Metadata Fields

Specimen part

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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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Developed by the Childhood Cancer Data Lab

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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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