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accession-icon GSE58952
IL-37 protects against obesity-induced inflammation and insulin resistance
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.1 ST Array (mogene11st)

Description

Cytokines of the IL-1 family are important modulators of obesity-induced inflammation and the development of systemic insulin resistance. Here, we report that IL-37, a newly-described antiinflammatory member of the IL-1 family, affects obesity-induced inflammation and insulin resistance. IL-37 transgenic mice (IL-37tg) did not develop an obese phenotype in response to a high-fat diet (HFD). Unlike WT mice, IL-37tg mice exhibited reduced numbers of adipose tissue macrophages and preserved glucose tolerance and insulin sensitivity after 16 weeks of HFD. A short-term HFD intervention revealed that the IL-37-mediated improvement in glucose tolerance is independent of bodyweight. IL-37tg mice manifested a beneficial metabolic profile with higher circulating levels of the anti-inflammatory adipokine adiponectin. In vitro treatment of differentiating adipocytes with recombinant IL-37 reduced adipogenesis. The beneficial effects of recombinant IL-37 involved activation of AMPK signaling. In humans, steady-state IL-37 adipose tissue mRNA levels were positively correlated with insulin sensitivity, lower adipose tissue levels of leptin and a lower inflammatory status of the adipose tissue. These findings reveal IL-37 as an important anti-inflammatory modulator during obesity-induced inflammation and insulin resistance in both mice and humans and suggest that IL-37 is a potential target for the treatment of obesity-induced insulin resistance and type 2 diabetes.

Publication Title

IL-37 protects against obesity-induced inflammation and insulin resistance.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE13526
Transcript profiling of WT and Nxf2 KO post-natal day 21 testes
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

In euakryotes, mRNAs must be exported from the nucleus to the cytsoplasm. NXF2 is highly expressed in the mouse male germ cells. We are interested in its function in spermatogenesis, espically in the nuclear RNA export in the testis. To this end, we made Nxf2 mutant mice by gene targeting. In an attempt to identify the mRNA substrates of NXF2, we perform the microarray experiments on testes.

Publication Title

Inactivation of Nxf2 causes defects in male meiosis and age-dependent depletion of spermatogonia.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE41819
Active STAT5 in CD8 T cells
  • organism-icon Mus musculus
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Active STAT5 regulates T-bet and eomesodermin expression in CD8 T cells and imprints a T-bet-dependent Tc1 program with repressed IL-6/TGF-β1 signaling.

Sample Metadata Fields

Specimen part

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accession-icon GSE26945
Optimized CD8 effector TL
  • organism-icon Mus musculus
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Transcriptome analyses of naive, effector and memory CD8 TCRP1A lymphocytes expressing or not an active form of the transcription factor Stat5.

Publication Title

Active STAT5 regulates T-bet and eomesodermin expression in CD8 T cells and imprints a T-bet-dependent Tc1 program with repressed IL-6/TGF-β1 signaling.

Sample Metadata Fields

Specimen part

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accession-icon GSE61042
Gene expression changes between sensitive and YK-4-279-resistant Ewing's Sarcoma cell lines
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Microarray gene expression analysis conducted from cell lines in each of three cohorts: (1) Resistant ES cell lines, (2) Sensitive parental ES cell lines treated with YK-4-279 for 72 hours, and (3) untreated sensitive parental ES cell lines (Three replicates from TC32 & TC71 original parental cell lines)

Publication Title

An Oral Formulation of YK-4-279: Preclinical Efficacy and Acquired Resistance Patterns in Ewing Sarcoma.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP164689
Post-developmental deletion of adipocytes autophagy
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Autophagy is a homeostatic cellular process involved in the degradation of long-lived/damaged cellular components. The role of autophagy in adipogenesis is well recognized, but its role in mature adipocyte function is largely unknown. We show that the autophagy proteins Atg3 and Atg16L1 are required for proper mitochondrial function in mature adipocytes. In contrast to previous studies, we found that post-developmental ablation of autophagy causes peripheral insulin resistance independently of diet or adiposity. Finally, lack of adipocyte autophagy reveals a - cross talk between fat and liver mediated by lipid peroxide-induced Nrf2 signaling. Our data reveal a - role for autophagy in preventing lipid peroxide formation and their transfer in insulin-sensitive peripheral tissues Overall design: Epididymal adipose tissue from 4 WT and 4 Adiponectin-Cre Atg3f/f male mice fed chow diet

Publication Title

Autophagy Ablation in Adipocytes Induces Insulin Resistance and Reveals Roles for Lipid Peroxide and Nrf2 Signaling in Adipose-Liver Crosstalk.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE45461
A global DNA methylation and gene expression analysis of early human B-cell development reveals a demethylation signature and transcription factor network.
  • organism-icon Homo sapiens
  • sample-icon 31 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

A global DNA methylation and gene expression analysis of early human B-cell development reveals a demethylation signature and transcription factor network.

Sample Metadata Fields

Specimen part

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accession-icon GSE45460
Expression data from early human B-cell development
  • organism-icon Homo sapiens
  • sample-icon 31 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

A global DNA methylation and gene expression analysis of early human B-cell development reveals a demethylation signature and transcription factor network. Nucleic Acids Res. 2012 Dec;40(22):11339-51.

Publication Title

A global DNA methylation and gene expression analysis of early human B-cell development reveals a demethylation signature and transcription factor network.

Sample Metadata Fields

Specimen part

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accession-icon GSE61799
ICI182780 effect on breast cancer cell in hypoxia
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HumanWG-6 v3.0 expression beadchip

Description

The ER alpha positive breast cancer MCF7 cells were treated with ER alpha antagonist ICI182780 in normoxia and hypoxia. Extracted RNA was subject to microarray analysis. The goal of the experiment is to assess the ICI182780 effect on breast cancer cell in both normoxia and hypoxia.

Publication Title

Estrogen receptor-α directly regulates the hypoxia-inducible factor 1 pathway associated with antiestrogen response in breast cancer.

Sample Metadata Fields

Cell line

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accession-icon SRP023533
Integrated analysis of microRNA and mRNA expression and association with HIF binding in MCF-7 cells under hypoxia (miRNA-Seq)
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Purpose: We aimed to investigate in depth the regulation of microRNA expression by hypoxia in the breast cancer cell line MCF-7, establish the relationship between microRNA expression and HIF binding sites, pri-miRNA transcription and microRNA processing gene expression. Methods: microRNA sequencing data and gene expression microarray data were generated from MCF-7 cells submitted to an hypoxia timecourse (16h, 32h and 48h at 1% Oxygen). Data was integrated to 500 published high-stringency HIF binding sites identified in MCF-7 cells. Results: We identified 41 microRNAs significantly up- and 28 down- regulated, of which 38 mature and 20 star forms are reported in conjunction with hypoxia for the first time. HIF-1a and HIF-2a binding sites within 50kb distance of microRNA loci were found by integration of HIF ChIP-seq data, showing overall association between binding sites and up-regulation. Gene expression profiling analysis showed no full coordination between pri-miRNA and microRNA expression, pointing towards additional levels of regulation. Several transcripts playing a role in microRNA processing were found regulated by hypoxia, of which two were HIF dependent. Conclusions: The data support the hypothesis that microRNA expression under hypoxia is regulated at transcriptional and post-transcriptional level. HIF is involved at both levels, regulating the transcription of certain microRNAs and also the expression of key elements of the microRNA processing pathway. Overall design: microRNA-seq profiles of MCF-7 exposed to hypoxia (1% Oxygen) for 16h (2 replicates), 32h (2 replicates) and 48h (2 replicates) and to normoxia (2 replicates) were generated using Illumina sequencing platform.

Publication Title

Integrated analysis of microRNA and mRNA expression and association with HIF binding reveals the complexity of microRNA expression regulation under hypoxia.

Sample Metadata Fields

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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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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