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accession-icon GSE46227
Developmental equivalence of epiblast stem cells (EpiSCs)
  • organism-icon Mus musculus
  • sample-icon 112 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Epiblast stem cells (EpiSCs) were derived from the epiblast or the ectoderm (epi/ect) of pre-gastrula stage to late-bud stage mouse embryos. To identify if the EpiSCs retain any original stage specific characteristics or which developmental stage of epi/ect they most closely related to, we performed microarray analysis to compare the gene expression profile of multiple EpiSC lines with that of epi/ect of 7 different stages.

Publication Title

The transcriptional and functional properties of mouse epiblast stem cells resemble the anterior primitive streak.

Sample Metadata Fields

Specimen part

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accession-icon GSE46474
Expression data from rejection and non-rejection kidney transplant patients
  • organism-icon Homo sapiens
  • sample-icon 37 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Acute renal allograft rejection is an important complication in kidney transplantation. Accurate diagnosis of rejection events is necessary for timely response and treatment. We illustrate the usefulness and biological relevance of selected multivariate approaches to detect rejection from genomic and proteomic signals. The data was used to study gene expression changes using whole genome microarray analysis of peripheral blood from subjects with acute rejection (n=20) and non-rejecting controls (n=20) to obtain insight into the molecular and biological causation of acute renal allograft rejection when combined with proteomics (iTRAQ) data for the same patients/time-points.

Publication Title

Novel multivariate methods for integration of genomics and proteomics data: applications in a kidney transplant rejection study.

Sample Metadata Fields

Sex, Specimen part, Race

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accession-icon GSE34172
Expression data from peripheral blood - blood draws at Pre and Post time points of Allergen inhalation challenge
  • organism-icon Homo sapiens
  • sample-icon 34 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

Peripheral blood gene expression changes during allergen inhalation challenge in atopic asthmatic individuals.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE34160
Expression data from peripheral blood - blood draws at Pre and Post time points of Allergen inhalation challenge (PAX.NGR and EDTA)
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

To determine differential gene expression in peripheral blood of asthmatic individuals undergoing allergen inhalation challenge, post-challenge compared to pre-challenge

Publication Title

Peripheral blood gene expression changes during allergen inhalation challenge in atopic asthmatic individuals.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE34159
Expression data from peripheral blood - blood draws at Pre and Post time points of Allergen inhalation challenge (PAX.NGR)
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Detecting differential changes in the peripheral whole-blood transcriptome, post-challenge compared to pre-challenge; using non-globin reduced PAXgene (PAX.NGR) tubes

Publication Title

Peripheral blood gene expression changes during allergen inhalation challenge in atopic asthmatic individuals.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE34158
Expression data from peripheral blood - blood draws at Pre and Post time points of Allergen inhalation challenge (PAX.GR)
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Detecting differential changes in the peripheral whole-blood transcriptome, post-challenge compared to pre-challenge; using globin reduced PAXgene (PAX.GR) tubes

Publication Title

Peripheral blood gene expression changes during allergen inhalation challenge in atopic asthmatic individuals.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE87301
White Blood Cell Differentials Enrich Whole Blood Expression Data in the Context of Acute Cardiac Allograft Rejection
  • organism-icon Homo sapiens
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Acute cardiac allograft rejection is a serious complication of heart transplantation. Investigating molecular processes in whole blood via microarrays is a promising avenue of research in transplantation, particularly due to the non-invasive nature of blood sampling. However, whole blood is a complex tissue and the consequent heterogeneity in composition amongst samples is ignored in traditional microarray analysis. This complicates the biological interpretation of microarray data. Here we have applied a statistical deconvolution approach, cell-specific significance analysis of microarrays (csSAM), to whole blood samples from subjects either undergoing acute heart allograft rejection (AR) or not (NR). We identified eight differentially expressed probe-sets significantly correlated to monocytes (mapping to 6 genes, all down-regulated in ARs versus NRs) at a false discovery rate (FDR) <= 15%. None of the genes identified are present in a biomarker panel of acute heart rejection previously published by our group and discovered in the same data.

Publication Title

White blood cell differentials enrich whole blood expression data in the context of acute cardiac allograft rejection.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon E-MEXP-2462
Transcription profiling of mouse pancreatic P03 adenocarcinoma to study the effect of meal timing
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

B6D2F1 male mice at the age of 6 weeks were maintained for one week in a 12h light / 12 h dark (LD12:12) cycle (lights on from 7:00 am to 7:00 pm) and food and water ad libitum. Mice were then divided in two experimental groups which were further maintained for 3 weeks in the LD12 cycle and fed either at libitum or only during a 4 h period between 9:00 am and 1:00 pm. All animals were then implanted subcutaneously with a pancreatic P03 adenocarcinoma in both flanks. Tumour growth was monitored daily and twenty one days after innoculation, animals were transfered to constant darkness for 24h. Tumour samples were collected at the implantation site at circadian time (CT)4 and CT16.

Publication Title

Cancer inhibition through circadian reprogramming of tumor transcriptome with meal timing.

Sample Metadata Fields

Sex, Age, Specimen part, Time

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accession-icon E-MEXP-2089
Transcription profiling by array of liver from KLF10 knock out mice
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Experiment comparing the liver transcriptome from wild type and KLF10 deficient mice

Publication Title

Kruppel-like factor KLF10 is a link between the circadian clock and metabolism in liver.

Sample Metadata Fields

Sex, Age, Specimen part, Subject

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accession-icon GSE76598
Profiling of nave and memory Tregs
  • organism-icon Homo sapiens
  • sample-icon 51 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Changes in Treg function are difficult to quantify due to the lack of Treg-exclusive markers in humans and the complexity of functional experiments. We sorted naive and memory human Tregs and conventional T cells, and identified genes that identify human Tregs regardless of their state of activation. We developed this Treg signature using Affymetrix human genome U133A 2.0 microarrays.

Publication Title

A Regulatory T-Cell Gene Signature Is a Specific and Sensitive Biomarker to Identify Children With New-Onset Type 1 Diabetes.

Sample Metadata Fields

Treatment, Subject

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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)

fund-icon Fund the CCDL

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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