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accession-icon GSE35026
Expression data in inguinal adipose tissue at different circadian times
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Peripheral circadian clocks regulate many aspects of physiology. In this study we deleted the core circadian clock component Bmal1 specifically in mouse adipocytes in order to study the role of the adipocyte clock in energy homeostasis and body weight. We used microarrays to indentify changes in gene expression in the adipose tissue of mice lacking a functional adipocyte circadian clock and identified a small number of up- and down- regulated genes.

Publication Title

Obesity in mice with adipocyte-specific deletion of clock component Arntl.

Sample Metadata Fields

Specimen part

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accession-icon GSE10616
Human colon expression in healthy controls, colon-only CD, ileo-colonic CD, and UC
  • organism-icon Homo sapiens
  • sample-icon 58 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Colon gene expression in human IBD. The three major clinical subsets of Inflammatory Bowel Disease (IBD) include colon-only Crohn's Disease (CD), ileo-colonic CD, and Ulcerative Colitis (UC). These experiments tested differential colon gene expression in these three types of IBD, relative to healthy control samples, and the local degree of mucosal inflammation as measured by the CD Histological Index of Severity (CDHIS). Colon biopsy samples were obtained from IBD patients at diagnosis and during therapy, and healthy controls. The global pattern of gene expression was determined using GeneSpring software, with a focus upon candidate genes identified in a recent genome wide association study in pediatric onset IBD. Data suggested that two of these candidate genes are up regulated in pediatric IBD, partially influenced by local mucosal inflammation.

Publication Title

Loci on 20q13 and 21q22 are associated with pediatric-onset inflammatory bowel disease.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE75519
Gene microarray of sorted Vg9Vd2 subsets
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Analysis of gene expression at RNA level by 4 different cell sorted Vg9Vd2 subsets (Subset 1=CD28+CD27+, Subset2=CD28-CD27+, Subset 3=CD28-CD7-CD16-, Subset 4 = CD28-CD27-CD16+). Results highlight differences in RNA expression characterising these four cell populations into distinct phenotypic subsets with distinct functional potential

Publication Title

Heterogeneous yet stable Vδ2(+) T-cell profiles define distinct cytotoxic effector potentials in healthy human individuals.

Sample Metadata Fields

Specimen part

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accession-icon GSE17509
Reduced levels of protein tyrosine phosphatase CD45 protect mice from the lethal effects of Ebola virus infection
  • organism-icon Mus musculus
  • sample-icon 57 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

To gain insight into the changes in gene expression pattern upon Ebola infection, CD45+/+ (100% protein level) and CD45+/- (62% protein level) mice were challenged with mouse adapted Ebola virus. At time-points day 0, 1, 3, 5, 7, 9, 11 and 13, spleen tissue was harvested and splenocytes isolated. Total RNA was isolated for mRNA expression analysis. The mouse genome 430 2.0 array (Affymetrix, Inc.), which consists of over 39,000 genes in a single array, was used. Based on gene expression patterns, the variable genes were grouped into sixteen clusters. Each cluster contained genes associated with cellular immune processes, signaling, cell-cycle, complement coagulation cascade, biosynthesis/metabolism, ubiquitous genes involved in several cascades, and genes of unknown function. Interestingly, gene expression in clusters 2 and 3 were significantly downregulated by day 1 following EBOV challenge in CD45100% mice. In contrast, at day 1 following EBOV infection, the CD45 62% mice maintained gene expression patterns similar to day 0. The differences in gene expression patterns between the CD45 100% and CD45 62% splenocytes were less apparent at day 3 following infection and by days 5 and 7 they became very similar. At day 9, when wild-type mice had succumbed to the disease, the pattern in CD45 62% mice remained similar to the day 7 patterns of CD45 100% and CD45 62% mice. The pattern at days 11 and 13 in the CD45 62% mice had returned to that of day 0 CD45 100% or CD45 62% mice. These results suggested that in CD45 100% mice, subversion of the cell transcriptional machinery during the early stages of EBOV infection (day 1) might represent a major factor leading to death of the mice. In CD45 62% mice, early control of gene regulation likely provided the appropriate antiviral responses leading to regulated inflammation, immune co-stimulation, and survival.

Publication Title

Reduced levels of protein tyrosine phosphatase CD45 protect mice from the lethal effects of Ebola virus infection.

Sample Metadata Fields

Specimen part

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accession-icon GSE48258
Changes in gene expression induced by CDK9 inhibition alone and in combination with fludarabine
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Using a transcriptomics approach we explored the mechanism(s) of synergy observed between CDKI-73 and fludarabine in primary CLL cells. The cytotoxic effects of CDKI-73 were associated with transcriptional inhibition of cdk9 target genes including MCL1 and XIAP. In contrast, fludarabine induced the transcription of these genes, an effect that was reversed by the combination of CDKI-73 and fludarabine.

Publication Title

A novel Cdk9 inhibitor preferentially targets tumor cells and synergizes with fludarabine.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon SRP047126
Transcriptomic profiling of bone marrow cells from healthy individuals
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerIIx

Description

We performed whole-genome transcriptomic profiling of RNA from mononuclear cells from bone marrow aspirates taken from healthy individuals. This study complements GSE58335: transcriptomic profiling of peripheral blood mononuclear cells from healthy individuals. Overall design: High-throughput sequencing was done using the Illumina GA IIx. The RNA is from previously published samples (Stirewalt et al., Genes Chromosomes Cancer, 2008, PMID:17910043)

Publication Title

Widespread intron retention diversifies most cancer transcriptomes.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE135182
Microarray data for Bhlhe40WT and Bhlhe40KO small intestine lamina propria CD4+ T cells
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The cytokines GM-CSF and IL-5 are thought to possess largely divergent functions despite a shared dependence on the common beta (βC) chain to initiate signaling. Although IL-5 is part of the core type 2 cytokine signature and is required for protection against some helminths, it is dispensable for immunity to others, such as Heligmosomoides polygyrus bakeri (H. polygyrus). Whether this is due to compensatory mechanisms is unclear. The transcription factor Bhlhe40 has been shown to control GM-CSF production and is proposed to be a novel regulator of T helper type 2 cells.

Publication Title

BHLHE40 Promotes T<sub>H</sub>2 Cell-Mediated Antihelminth Immunity and Reveals Cooperative CSF2RB Family Cytokines.

Sample Metadata Fields

Sex, Specimen part, Treatment

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accession-icon GSE49166
Expression data from mouse differentiated T helper cell lineages
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Microarray data on TH cell subsets from WT C57BL/6 and Bhlhe40 KO mice

Publication Title

Bhlhe40 controls cytokine production by T cells and is essential for pathogenicity in autoimmune neuroinflammation.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon SRP050137
RNA-seq analysis of the eight Drosophila SR protein family members
  • organism-icon Drosophila melanogaster
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Using RNA-seq, we characterize the global AS regulation of the eight Drosophila SR protein family members Overall design: RNA-seq experiments on two replicate samples from 8 individual SR protein knockdown (exptGroup=S), two replicates of simultaneous SR protein knockdown (XL6:B52 & SC35:B52) (exptGroup=D). Each exptGroup includes duplicate of its own non-specific (NS) controls.

Publication Title

SR proteins control a complex network of RNA-processing events.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP090916
UPF1 knockdown in differentiating human myoblasts
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Human myoblast cell line 54-1 is transfected with either a srambled control siRNA or siRNA against UPF1. Two days after transfection, cell were induced to differentiate by changing grow meida to differentiation media. 2 days after induction of differentiation, cells are collected for extraction of RNA. Overall design: Human myoblast cell line 54-1 is transfected with either a srambled control siRNA or siRNA against UPF1. Two days after transfection, cell were induced to differentiate by changing grow meida to differentiation media. 2 days after induction of differentiation, cells are collected for extraction of RNA.

Publication Title

The RNA Surveillance Factor UPF1 Represses Myogenesis via Its E3 Ubiquitin Ligase Activity.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject, Time

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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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