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accession-icon GSE137634
Lymphocyte DNA methylation mediates genetic risk at shared immune mediated disease loci
  • organism-icon Homo sapiens
  • sample-icon 209 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Lymphocyte DNA methylation mediates genetic risk at shared immune-mediated disease loci.

Sample Metadata Fields

Sex, Age, Specimen part, Subject

View Samples
accession-icon GSE100648
Early arthritis B cell gene expression profiling
  • organism-icon Homo sapiens
  • sample-icon 242 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

242 patients recruited from an early arthritis clinic donated RNA and DNA from freshly isolated and purified peripheral blood CD19+ B cells. Global gene expression measurement was carried out using Illumina BeadChip HT12v4 microarrays. Objectives included the identification of B cell transcripts differentially expressed between disease phenotypes, where all patients were naive to immunomodulatory therapy. In addition an eQTL analysis was carried out with reference to known genotype data for this cohort of patients

Publication Title

CD4+ and B Lymphocyte Expression Quantitative Traits at Rheumatoid Arthritis Risk Loci in Patients With Untreated Early Arthritis: Implications for Causal Gene Identification.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE66795
A transcriptional signature of fatigue derived from patients with primary Sjgren's Syndrome
  • organism-icon Homo sapiens
  • sample-icon 160 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Fatigue is a debilitating condition with a significant impact on patients quality of life. Fatigue is frequently reported by patients suffering from primary Sjo grens Syndrome (pSS), a chronic autoimmune condition characterised by dryness of the eyes and the mouth. However, although fatigue is common in pSS, it does not manifest in all sufferers, providing an excellent model with which to explore the potential underpinning biological mechanisms.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE142049
Transcriptional data of inflamatory arthritis B cells
  • organism-icon Homo sapiens
  • sample-icon 109 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

With a focus on rheumatoid arthritis (RA), we sought new insight into genetic mechanisms of adaptive immune dysregulation to help prioritise molecular pathways for targeting in this and related immune pathologies. Whole genome methylation and transcriptional data from isolated CD4+ T cells and B cells of >100 genotyped and phenotyped inflammatory arthritis patients, all of whom were naïve to immunomodulatory treatments, were obtained. Analysis integrated these comprehensive data with GWAS findings across IMDs and other publically available resources.

Publication Title

Lymphocyte DNA methylation mediates genetic risk at shared immune-mediated disease loci.

Sample Metadata Fields

Sex, Age, Specimen part, Subject

View Samples
accession-icon GSE141934
Transcriptional data of inflamatory arthritis T cells.
  • organism-icon Homo sapiens
  • sample-icon 100 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

With a focus on rheumatoid arthritis (RA), we sought new insight into genetic mechanisms of adaptive immune dysregulation to help prioritise molecular pathways for targeting in this and related immune pathologies. Whole genome methylation and transcriptional data from isolated CD4+ T cells and B cells of >100 genotyped and phenotyped inflammatory arthritis patients, all of whom were naïve to immunomodulatory treatments, were obtained. Analysis integrated these comprehensive data with GWAS findings across IMDs and other publically available resources.

Publication Title

Lymphocyte DNA methylation mediates genetic risk at shared immune-mediated disease loci.

Sample Metadata Fields

Sex, Age, Specimen part, Subject

View Samples
accession-icon GSE13141
Identification of candidate neuroblastoma genes by combining genomic and expression microarrays
  • organism-icon Homo sapiens
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Identification of candidate genes involved in neuroblastoma progression by combining genomic and expression microarrays with survival data.

Sample Metadata Fields

Sex, Age

View Samples
accession-icon GSE13136
Identification of candidate neuroblastoma genes by combining genomic and expression microarrays: expression data
  • organism-icon Homo sapiens
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression analysis was performed on 30 Neuroblastomas to identify genes whose transcription is significantly altered by recurrent chromosomal alterations. Genomic copy number losses and gains had been delineated in the tumours using FISH and SNP arrays. We have identified genes significantly altered by 7 recurrent alterations: 1p, 3p, 4p, 10q and 11q loss, 2p and 17q gain, and genes co-amplified and over-expressed as a result of MYCN amplification.

Publication Title

Identification of candidate genes involved in neuroblastoma progression by combining genomic and expression microarrays with survival data.

Sample Metadata Fields

Sex, Age

View Samples
accession-icon E-MEXP-1551
Transcription profiling of yeast strains harbouring a temperature sensitive allele of the essential telomere capping gene cdc13-1 to investigate the genome-wide response to uncapped telomeres
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

Telomeres are nucleoprotein complexes that protect the ends of eukaryotic chromosomes from being recognised as double strand breaks. When telomere structure is perturbed, a co-ordinated series of events to promote arrest of the cell cycle is rapidly initiated so that cells carrying damaged telomeres do not continue to divide. In order to better understand the eukaryotic response to telomere damage, we employed budding yeast strains harbouring a temperature sensitive allele of an essential telomere capping gene (cdc13-1) and conducted a transcriptomic study of the genome-wide response to uncapped telomeres. We show that telomere uncapping in cdc13-1 strains is associated with the differential expression of over 1100 genes and has features in common with the responses to DNA damage, diverse environmental stresses and, as expected, the absence of telomerase. The transcriptomic response to telomere uncapping includes many genes with known roles in telomere function and some features that appear to be unique. BNA2 is the second most highly up-regulated gene upon telomere uncapping in cdc13-1 strains and is required for the biosynthesis of NAD+. We have shown that deletion of BNA2 and other genes involved in NAD+ synthesis, suppresses the temperature sensitivity of cdc13-1 strains. NAD+ synthetic genes may therefore play previously unknown roles in the cellular response to telomere uncapping.

Publication Title

A genome wide analysis of the response to uncapped telomeres in budding yeast reveals a novel role for the NAD+ biosynthetic gene BNA2 in chromosome end protection.

Sample Metadata Fields

Sex, Subject, Time

View Samples
accession-icon GSE55650
p38 MAPK activation upregulates pro-inflammatory pathways in skeletal muscle cells from insulin resistant type 2 diabetic patients
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Skeletal muscle is the key site of peripheral insulin resistance in type 2 diabetes. Insulin-stimulated glucose uptake is decreased in differentiated diabetic myotubes in keeping with a retained genetic/epigenetic defect of insulin action.

Publication Title

p38 MAPK activation upregulates proinflammatory pathways in skeletal muscle cells from insulin-resistant type 2 diabetic patients.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE70550
Transcriptomics and proteomics show selenium affects inflammation, cytoskeleton and cancer pathways in human rectal biopsies
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Transcriptomics and proteomics analyses were carried out on rectal mucosal biopsies from 22 healthy adults with either optimal (n=11, mean plasma Se =1.43mol/l, s.e.m 0.06) or sub-optimal (n=11, mean plasma Se = 0.86umol/l, s.e.m 0.01) plasma Se status. Plasma Se status was associated with altered expression of 254 genes implicated in cancer, immune function and inflammatory response, cell growth and proliferation, cellular movement and cell death; 69 out of 254 genes had their expression significantly correlated with Se status, including two selenoprotein genes (SEPW1 and SELK). Proteomics identified 26 proteins differentially expressed between the two Se groups, including cytoskeletal proteins and factors involved in immune and inflammatory response and cancer pathways. Results from proteomics and transcriptomics support each other and integration of the two datasets was consistent with a reduced inflammatory and immune responses and a cytoskeleton remodelling in the rectal mucosa of individuals with sub-optimal Se status.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
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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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