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accession-icon GSE6558
Differential expression in selected adult female Drosophila melanogaster
  • organism-icon Drosophila melanogaster
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome Array (drosgenome1)

Description

A study evaluating the effect of stress resistance selection of Drosophila melanogaster.

Publication Title

Gene expression profile analysis of Drosophila melanogaster selected for resistance to environmental stressors.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE84680
Expression data from adult Drosophila melanogaster males
  • organism-icon Drosophila melanogaster
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

We used microarrays to investigate the transcriptome of 6 days old male flies exposed to either 15 or 25 C development at either constant or fluctuating temperatures. Further, we investigated gene expression at benign (20C) and high (35C) temperatures

Publication Title

Thermal fluctuations affect the transcriptome through mechanisms independent of average temperature.

Sample Metadata Fields

Sex

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accession-icon GSE24217
Gene-expression profile of the response to E. coli (k2bh2) infection in the bovine udder
  • organism-icon Bos taurus
  • sample-icon 49 Downloadable Samples
  • Technology Badge Icon Affymetrix Bovine Genome Array (bovine)

Description

Mastitis in dairy cows is one of the most costly and prevalent diseases affecting dairy cows world wide. Insight in the molecular regulation of the host immune response to an E. coli infection, could help to develop new strategies to prevent cattle from E. coli infection. Here we performed a gene-expression analysis from udder tissue exposed to a controlled E. coli infection at T=24h post infection (p.i.) representing the acute phase response and at T=192h p.i. representing a chronic stage.

Publication Title

In depth analysis of genes and pathways of the mammary gland involved in the pathogenesis of bovine Escherichia coli-mastitis.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE10695
Gene expression profiling of liver from dairy cows subjected to intra-mammary LPS treatment: time course
  • organism-icon Bos taurus
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Bovine Genome Array (bovine)

Description

Liver plays a profound role in the acute phase response (APR) observed in the early phase of acute bovine mastitis caused by Escherichia coli (E. coli). To gain an insight into the genes and pathways involved in hepatic APR of dairy cows we performed a global gene expression analysis of liver tissue sampled at different time points before and after intra-mammary (IM) exposure to E. coli lipopolysaccharide (LPS) treatment.

Publication Title

Gene expression profiling of liver from dairy cows treated intra-mammary with lipopolysaccharide.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE5147
Drosophila heat stress response time series analysis
  • organism-icon Drosophila melanogaster
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome Array (drosgenome1)

Description

gene expression was measured in control and heat resistance selected adult female flies before and at 8 time points after heat stress for 1h @ 36 degrees

Publication Title

Full genome gene expression analysis of the heat stress response in Drosophila melanogaster.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE70051
Identifying pH independent hypoxia induced genes in human squamous cell carcinomas in vitro
  • organism-icon Homo sapiens
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background: Genes upregulated by low oxygen have been suggested as endogenous markers for tumor hypoxia. Yet, most of the genes investigated have shown inconsistent results, which have led to concerns about their ability to be true hypoxia markers. Previous studies have demonstrated that expression of hypoxia induced genes can be affected by extracellular pH (pH e ). Methods: Five different human cell lines (SiHa, FaDu DD, UTSCC5, UTSCC14 and UTSCC15) were exposed to different oxygen concentrations and pH (7.5 or 6.3), and gene expression analyzed with microarray (Affymetrix - Human Genome U133 Plus 2.0 Array). Results: An analysis of two of the cell lines using SAM identified 461 probesets that were able to separate the four groups Normal oxygen, normal pH , Low oxygen, normal pH , Normal oxygen, low pH and Low oxygen, low pH . From here it was possible to identify a fraction of probesets induced at low oxygen independent of pH in these two cell lines, this fraction included HIG2, NDRG1, PAI1 and RORA. Further verifi cation by qPCR highlighted the necessity of using more cell lines to obtain a robust gene expression profi les. To specifi cally select pH independent hypoxia regulated genes across more cell lines, data for FaDu DD, UTSCC5, UTSCC14 and UTSCC15 were analyzed to identify genes that were induced by hypoxia in each cell line, where the induction was not affected by low pH, and where the gene was not signifi cantly induced by low pH alone. Each cell line had 65 122 probesets meeting these criteria. For genes to be considered as target genes (hypoxia inducible pH independent), genes had to be present in three of four cell lines. Conclusion: The result is a robust hypoxia profile unaffected by pH across cell lines consisting of 27 genes. This study demonstrates a way to identify hypoxia markers by microarray, where other factors in the tumor microenvironment are taken into account.

Publication Title

Identifying pH independent hypoxia induced genes in human squamous cell carcinomas in vitro.

Sample Metadata Fields

Cell line

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accession-icon GSE19795
DNA methylation in progenitor cells
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HumanWG-6_V2_0_R2

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Promoter DNA methylation patterns of differentiated cells are largely programmed at the progenitor stage.

Sample Metadata Fields

Specimen part

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accession-icon GSE19773
DNA methylation in progenitor cells: expression study
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HumanWG-6_V2_0_R2

Description

We surveyed DNA methylation profiles of all human RefSeq promoters in relation to gene expression and differentiation in adipose tissue, bone marrow and muscle mesenchymal progenitors, as well as in bone marrow-derived hematopoietic progenitors. We unravel strongly overlapping DNA methylation profiles between adipose stem cells (ASCs), bone marrow mesenchymal stem cells (BMMSCs) and muscle progenitor cells (MPCs), while hematopoietic progenitor cells (HPCs) are more epigenetically distant from MSCs seen as a whole. Differentiation resolves a fraction of methylation patterns common to MSCs, generating epigenetic divergence.

Publication Title

Promoter DNA methylation patterns of differentiated cells are largely programmed at the progenitor stage.

Sample Metadata Fields

Specimen part

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accession-icon GSE5146
Differential expression in heat resistance selected adult female Drosophila melanogaster
  • organism-icon Drosophila melanogaster
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome Array (drosgenome1)

Description

gene expression was measured in five independent heat resistance selected replicate lines and five control lines.

Publication Title

Full genome gene expression analysis of the heat stress response in Drosophila melanogaster.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE25319
Gene transcription profiles showing early systemic response to E. coli (k2bh2) infection in bovine liver
  • organism-icon Bos taurus
  • sample-icon 53 Downloadable Samples
  • Technology Badge Icon Affymetrix Bovine Genome Array (bovine)

Description

We studied the response to infection and associated perturbations to the bovine livers normal function by examining gene transcription data from liver biopsies collected following an E. coli infection in the udder of primiparous dairy cows. This is the first study to examine gene transcription responses to systemic infection by the E. coli bacterium in dairy cows. First, we verified that the inoculation protocol resulted in systemic infection in the cows. This was done based on records on three clinical symptoms: body temperature and amount of E. coli bacteria and leukocytes in milk samples. Second, we examined gene transcription patterns underlying the clinical traits. Gene transcription levels at times of peak values for the clinical traits were estimated in the liver to study indications of an acute phase response to systemic E. coli infection in the cows. Finally, we compared gene transcription responses to E. coli infection and lipopolysaccaride (LPS) inoculation.

Publication Title

Transcriptional profiling of the bovine hepatic response to experimentally induced E. coli mastitis.

Sample Metadata Fields

Sex, Specimen part, Time

View Samples

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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