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accession-icon SRP132414
Molecular Signature of CAID Syndrome: Noncanonical Roles of SGO1 in Regulation of TGF-ß Signaling and Epigenomics. [RNA-seq]
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

RNA sequencing of human dermal fibroblasts from CAID patients passage 8 and passage 14 Overall design: RNA sequencing was perfomed on 3 wild type controls and 3 CAID patients fibroblast cell lines at cell passages 8 and 14. Sequencing was performed on Illumina Hiseq4000, 8 samples/lanes, paired-end.

Publication Title

Molecular Signature of CAID Syndrome: Noncanonical Roles of SGO1 in Regulation of TGF-β Signaling and Epigenomics.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE23338
TGF1-driven epithelial to mesenchymal transition in human kidney cell line
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

TGFbeta is the major cytokine driver of fibrosis in the kidney and other tissue. Epithelial-mesenchymal transition has been postulated to contibrute to renal fibrosis in diseases such as diabetic nephropathy.

Publication Title

Next-generation sequencing identifies TGF-β1-associated gene expression profiles in renal epithelial cells reiterated in human diabetic nephropathy.

Sample Metadata Fields

Cell line, Time

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accession-icon SRP006912
RNA-sequencing of TGF-ß1-driven gene expression in human kidney cell line
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzer

Description

TGF-beta1 is the major cytokine driver of fibrotic scarring observed in diabetic nephropathy and other fibrosis-related diseases. RNA-sequencing offers the potential for more sensitive assessment of the TGF-ß1-driven transcriptome. Overall design: There were two treatment groups: vehicle, 48 hr TGFb1. Each treatment was carried out in triplicate. Upon quality control assessment, one TGFß1 treated sample was excluded from further analyses, leaving 3 unstimulated and 2 TGFß1 samples.

Publication Title

Next-generation sequencing identifies TGF-β1-associated gene expression profiles in renal epithelial cells reiterated in human diabetic nephropathy.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE108113
Shared molecular targets in the glomerular and tubulointerstitial transcriptomes from patients with nephrotic syndrome and ANCA-associated vasculitis
  • organism-icon Homo sapiens
  • sample-icon 275 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.1 ST Array (hugene21st)

Description

This SuperSeries is composed of the SubSeries listed below. A subset of samples profiled in this analysis were also profiled in Series GSE68127, and GSE104066. Corresponding glomerular transcriptome data can be found under GEO ID: GSE108109.

Publication Title

Metabolic pathways and immunometabolism in rare kidney diseases.

Sample Metadata Fields

Specimen part

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accession-icon GSE104948
Glomerular Transcriptome from European Renal cDNA Bank subjects and living donors
  • organism-icon Homo sapiens
  • sample-icon 196 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

summary : Glomerular Transcriptome from European Renal cDNA Bank subjects and living donors. Samples included in this analysis have been previously analyzed using older CDF definitions and are included under previous GEO submissions - GSE47183 (chronic kidney disease samples), and GSE32591 (IgA nephropathy samples).

Publication Title

Metabolic pathways and immunometabolism in rare kidney diseases.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE104954
Tubulointerstitial transcriptome from ERCB subjects with chronic kidney disease and living donor biopsies.
  • organism-icon Homo sapiens
  • sample-icon 194 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

summary : Tubulointerstitial transcriptome from ERCB subjects with chronic kidney disease and living donor biopsies. Samples included in this analysis have been previously analyzed using older CDF definitions and are included under previous GEO submissions - GSE47184 (chronic kidney disease samples), and GSE32591 (IgA nephropathy samples).

Publication Title

Metabolic pathways and immunometabolism in rare kidney diseases.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE108112
Shared molecular targets in the tubulointerstitial transcriptome from patients with nephrotic syndrome and ANCA-associated vasculitis
  • organism-icon Homo sapiens
  • sample-icon 169 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.1 ST Array (hugene21st)

Description

Tubulointerstitial transcriptome from human kidney biopsies in Neptune and ERCB. A number of samples profiled in this analysis were also profiled in Series GSE68127.

Publication Title

Metabolic pathways and immunometabolism in rare kidney diseases.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE108109
Shared molecular targets in the glomerular transcriptome from patients with nephrotic syndrome and ANCA-associated vasculitis
  • organism-icon Homo sapiens
  • sample-icon 106 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.1 ST Array (hugene21st)

Description

Glomerular transcriptome from human kidney biopsies in Neptune and ERCB. A subset of samples profiled in this analysis were also profiled in Series GSE68127, and in GSE104066. Corresponding tubulointerstitial transcriptome data is submitted under GEO ID: GSE108113.

Publication Title

Metabolic pathways and immunometabolism in rare kidney diseases.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE69438
Tissue Transcriptome Driven Identification of Epidermal Growth Factor as a Chronic Kidney Disease Biomarker
  • organism-icon Homo sapiens
  • sample-icon 39 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We identified EGF as the top candidates predicting kidney function through an intrarenal transcriptome-driven approach, and demonstrated it is an independent risk predictor of CKD progression and can significantly improve prediction of renal outcome by established clinical parameters in diverse populations with CKD from a wide spectrum of causes and stages

Publication Title

Tissue transcriptome-driven identification of epidermal growth factor as a chronic kidney disease biomarker.

Sample Metadata Fields

Specimen part

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accession-icon GSE47862
Expression profiling of peripheral blood gene expression of women with hereditary breast cancer and controls
  • organism-icon Homo sapiens
  • sample-icon 320 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [HuEx-1_0-st-v2.hg18.custom ENTREZG (huex10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Integrative analyses reveal signaling pathways underlying familial breast cancer susceptibility.

Sample Metadata Fields

Specimen part

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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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