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accession-icon SRP068027
Genome-wide RNA sequencing of B6 mouse islets
  • organism-icon Mus musculus
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIllumina HiSeq 2000

Description

Isoform quantification results for B6 mouse using Bowtie and RSEM. Overall design: ~400 islets were isolated and pooled from two B6 mice. Whole islet RNA was isolated using Rneasy purification columns (Qiagen), quantified (Nanodrop) and integrity verified (Agilent) prior to sequencing. ~94M total paired-end RNA-Seq reads were sequenced.

Publication Title

The Transcription Factor Nfatc2 Regulates β-Cell Proliferation and Genes Associated with Type 2 Diabetes in Mouse and Human Islets.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE18592
Estrogen Coordinates Translation and Transcription Revealing a Role for NRSF in Human Breast Cancer Cells
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Analysis of estrogen receptor (ER)-positive MCF7 cell total RNA expression and polysome-assiciated RNA expression following treatment with estradiol (E2) and vehicle (etoh).

Publication Title

Estrogen coordinates translation and transcription, revealing a role for NRSF in human breast cancer cells.

Sample Metadata Fields

Cell line

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accession-icon GSE2196
PDGF induction of immediate early genes in NIH3T3 cells
  • organism-icon Mus musculus
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

This experiment was performed to identify immediate early genes that were induced by PDGF specifically through Src family kinases (SFKs), MEK1/2, or PI 3-K.

Publication Title

Platelet-derived growth factor stimulates Src-dependent mRNA stabilization of specific early genes in fibroblasts.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP059270
Transcriptome Engineering Promotes a Fermentative Transcriptional State
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 83 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500, Illumina HiSeq 2000, Illumina Genome Analyzer IIx

Description

Purpose: The ability to rationally manipulate the transcriptional states of cells would be of great use in medicine and bioengineering. We have developed a novel algorithm, NetSurgeon, which utilizes genome-wide gene regulatory networks to identify interventions that force a cell toward a desired expression state. Results: We used NetSurgeon to select transcription factor deletions aimed at improving ethanol production in S. cerevisiae cultures that are catabolizing xylose. We reasoned that interventions that move the transcriptional states of cells utilizing xylose toward the fermentative state typical of cells that are producing ethanol rapidly (while utilizing glucose) might improve xylose fermentation. Some of the interventions selected by NetSurgeon successfully promoted a fermentative transcriptional state in the absence of glucose, resulting in strains with a 2.7-fold increase in xylose import rates, a 4-fold improvement in xylose integration into central carbon metabolism, or a 1.3-fold increase in ethanol production rate. Conclusions: We conclude by presenting an integrated model of transcriptional regulation and metabolic flux that will enable future metabolic engineering efforts aimed at improving xylose fermentation to prioritize functional regulators of central carbon metabolism. Overall design: Mutant and wildtype S. cerevisiae cells were put into 48 hour aerobic batch fermentations of synthetic complete medium supplmented with 2% glucose and 5% xylose and culture samples were taken at 4 hours and 24 hours for transcriptional profiling performed by RNA-Seq analysis. In addition, wildtype S. cerevisiae cells were grown in various single carbon sources for 12 hours and culture samples were taken for transcriptional profiling performed by RNA-Seq analysis.

Publication Title

Model-based transcriptome engineering promotes a fermentative transcriptional state in yeast.

Sample Metadata Fields

Subject

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accession-icon GSE15029
Gene array for identifying molecules involved in IL-10 regulation during Th17 polarization
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

IL-10 production by Th17 cells is critical for limiting autoimmunity and inflammatory responses. Gene array analysis on Stat6 and T-bet double deficient Th17 cells identified the Th2 transcription factor c-Maf to be synergistically up-regulated by IL-6 plus TGFbeta, and associated with Th17 IL-10 production. Both c-Maf and IL-10 induction during Th17 polarization depended on Stat3, but not Stat6 or Stat1, and mechanistically differed from IL-10 regulation by Th2 or IL-27 signals. TGFbeta was also synergistic with IL-27 to induce c-Maf, and induced Stat1 independent IL-10 expression in contrast to IL-27 alone. Retroviral transduction of c-Maf was able to induce IL-10 expression in Stat6 deficient CD4 and CD8 T cells, and c-Maf directly transactivated IL-10 gene expression through binding to a MARE motif in the IL-10 promoter. Together, these data reveal a novel role for c-Maf in regulating T effector development, and suggest that TGFbeta may antagonize Th17 immunity by IL-10 production through c-Maf induction.

Publication Title

c-Maf regulates IL-10 expression during Th17 polarization.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE41910
Gene expression profiling of gastrocnemius of mini muscle mice
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Few studies have investigated heterogeneity of selection response in replicate lines subjected to equivalent selection. We developed 4 replicate lines of mice based on high levels of voluntary wheel running (high runner or HR lines) while also maintaining 4 non-selected control lines. This led to the unexpected discovery of the HR mini-muscle (HRmini) phenotype, recognized by a 50% reduction in hindlimb muscle mass, which became fixed in 1 of the 4 HR selected lines.

Publication Title

Gene expression profiling of gastrocnemius of "minimuscle" mice.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE58792
Effects of soy supplementation on gene expression in breast cancer
  • organism-icon Homo sapiens
  • sample-icon 49 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background There are conflicting reports on the impact of soy on breast carcinogenesis. This study examines the effects of soy supplementation on breast cancer-related genes and pathways. Methods Women (n = 140) with early-stage breast cancer were randomized to soy protein supplementation (n = 70) or placebo (n = 70) for 7 to 30 days, from diagnosis until surgery. Adherence was determined by plasma isoflavones: genistein and daidzein. Gene expression changes were evaluated by NanoString inin pre- and post-treatment tumor tissue. Genome-wide expression analysis was performed on post-treatment tissue. Proliferation (Ki67) and apoptosis (Cas3) were assessed by immunohistochemistry. Results Plasma isoflavones rose in the soy group (two-sided Wilcoxon rank-sum test, P < .001) and did not change in the placebo group. In paired analysis of pre- and post-treatment samples, 21 genes (out of 202) showed altered expression (two-sided Students t-test, P < .05). Several genes including FANCC and UGT2A1 revealed different magnitude and direction of expression changes between the two groups (two-sided Students t-test, P < .05). A high-genistein signature consisting of 126 differentially expressed genes was identified from microarray analysis of tumors. This signature was characterized by overexpression (>2 fold) of cell cycle transcripts, including those which promote cell proliferation, such as FGFR2, E2F5, BUB1, CCNB2, MYBL2, CDK1, and CDC20 (P < .01). Soy intake did not result in statistically significant changes in Ki67 or Cas3. Conclusions Gene expression associated with soy intake and high plasma genistein define a signature characterized by overexpression of FGFR2 and genes that drive cell cycle and proliferation pathways. These findings raise the concerns that in a subset of women soy could adversely affect gene expression in breast cancer.

Publication Title

The effects of soy supplementation on gene expression in breast cancer: a randomized placebo-controlled study.

Sample Metadata Fields

Treatment

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accession-icon GSE8582
Role of small intestine in the development of dietary fat-induced obesity and insulin resistance in C57BL/6J mice.
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Obesity and insulin resistance are two major risk factors underlying the metabolic syndrome. To gain more insight in the role of the small intestine in the etiology of these metabolic disorders, a microarray study was performed on small intestines (SI) of C57BL/6J mice that were fed a high fat diet mimicking the fatty acid composition of a Western-style human diet. The mice became obese and developed dietary fat-induced glucose intolerance. For gene expression profiling, the small intestines were subdivided in three equal parts along the longitudinal axis. The most pronounced effects of dietary fat were detected in part 2 of the small intestine. The biological processes that were most extensively modulated on a high fat diet were related to lipid metabolism, especially - and -fatty acid oxidation seemed to play an important role, cell cycle and inflammation/immune response. An additional secretome analysis revealed differentially expressed secreted proteins, such as Il18, Ffgf15, Mif, Igfbp3 and Angptl4, which might provoke systemic effects in peripheral organs by influencing their metabolic homeostasis. Furthermore, many of the dietary fat-modulated genes and biological processes in small intestine were previously already associated with obesity and/or insulin resistance. Together, the data of this exploratory study provided various leads for an essential role of the small intestine in development of obesity and/or insulin resistance.

Publication Title

The role of the small intestine in the development of dietary fat-induced obesity and insulin resistance in C57BL/6J mice.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE39975
Structural, functional and molecular analysis of the effects of aging in the small intestine and colon of C57BL/6J mice
  • organism-icon Mus musculus
  • sample-icon 16 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

Structural, functional and molecular analysis of the effects of aging in the small intestine and colon of C57BL/6J mice.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE33389
Expression data from low- and high-pathogenicity avian influenza-infected chicken and duck cells
  • organism-icon Anas platyrhynchos, Gallus gallus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Chicken Genome Array (chicken)

Description

While infection of chickens with highly pathogenic avian influenza (HPAI) H5N1 subtypes often leads to complete mortality within 24 to 48 h, infection of ducks in contrast causes mild or no clinical signs. Rapid onsets of fatal disease in chickens, but with no evidence of severe clinical symptoms in ducks, suggest underlying differences in their innate immune mechanisms. To understand the molecular basis for such difference, chicken and duck primary lung cells, infected with a low-pathogenicity avian influenza (LPAI) and two HPAI H5N1 viruses, were subjected to RNA expression profiling using Affymetrix Chicken GeneChip arrays.

Publication Title

Highly pathogenic avian influenza virus infection in chickens but not ducks is associated with elevated host immune and pro-inflammatory responses.

Sample Metadata Fields

Age, Specimen part, Treatment

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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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