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accession-icon GSE30122
Transcriptome Analysis of Human Diabetic Kidney Disease
  • organism-icon Homo sapiens
  • sample-icon 66 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Transcriptome analysis of human diabetic kidney disease.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject

View Samples
accession-icon GSE30566
Transcriptome Analysis of Human Diabetic Kidney Disease (Control Glomeruli vs. Control Tubuli)
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

We identified 1,700 differentially expressed probesets in DKD glomeruli and 1,831 in diabetic tubuli; 330 probesets were commonly differentially expressed in both compartments. The canonical complement signaling pathway was determined to be statistically differentially regulated in both DKD glomeruli and tubuli and was associated with increased glomerulosclerosis even in an additional set of DKD samples.

Publication Title

Transcriptome analysis of human diabetic kidney disease.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject

View Samples
accession-icon GSE30528
Transcriptome Analysis of Human Diabetic Kidney Disease (DKD Glomeruli vs. Control Glomeruli)
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

We identified 1,700 differentially expressed probesets in DKD glomeruli and 1,831 in diabetic tubuli; 330 probesets were commonly differentially expressed in both compartments. The canonical complement signaling pathway was determined to be statistically differentially regulated in both DKD glomeruli and tubuli and was associated with increased glomerulosclerosis even in an additional set of DKD samples.

Publication Title

Transcriptome analysis of human diabetic kidney disease.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject

View Samples
accession-icon GSE30529
Transcriptome Analysis of Human Diabetic Kidney Disease (DKD Tubuli vs. Control Tubuli)
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

We identified 1,700 differentially expressed probesets in DKD glomeruli and 1,831 in diabetic tubuli; 330 probesets were commonly differentially expressed in both compartments. The canonical complement signaling pathway was determined to be statistically differentially regulated in both DKD glomeruli and tubuli and was associated with increased glomerulosclerosis even in an additional set of DKD samples.

Publication Title

Transcriptome analysis of human diabetic kidney disease.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE44131
The clinical and genomic significance of donor-specific antibody (DSA) positive/C4d negative and DSA negative/C4d negative transplant glomerulopathy
  • organism-icon Homo sapiens
  • sample-icon 57 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We investigated the clinical, histopathologic and genomic features of donor-specific antibody (DSA) +/C4d- and DSA-/C4d- transplant glomerulopathy (TGP) using microarrays. Comparison of the gene expression profiles of DSA-/C4d- TGP biopsies with ptc+g score > 1 to normal and IFTA (Interstitial Fibrosis and Tubular Atrophy) biopsies by microarrays revealed increased expression of quantitative cytotoxic T cell--associated transcripts (QCAT). However, CAMR (chronic antibody-mediated rejection) and DSA+/C4d- TGP had increased expression of QCAT, interferon-gamma and rejection induced, constitutive macrophage-associated, natural killer cell-associated, and DSA selective transcripts. B cell and endothelial cell associated transcripts expression were upregulated only in CAMR biopsies. Our results suggest that while DSA+/C4d- TGP should be classified under CAMR, DSA-/C4d- TGP with ptc+g score > 1 probably develops through a chronic cellular immune response.

Publication Title

The clinical and genomic significance of donor-specific antibody-positive/C4d-negative and donor-specific antibody-negative/C4d-negative transplant glomerulopathy.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE58601
Expression data from biopsies of TGP patients
  • organism-icon Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We study the global gene expression profiles of TGP patients with or without graft loss to determine if a clinical and/or gene expression profile can predict allograft survival.

Publication Title

Clinical, Histological, and Molecular Markers Associated With Allograft Loss in Transplant Glomerulopathy Patients.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE50084
Expression data from blood and biopsies of Donor-Specific Antibody positive patients
  • organism-icon Homo sapiens
  • sample-icon 115 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The presence of Donor-Specific anti-HLA Antibodies (DSA) is associated with an increased risk of both acute and chronic antibody-mediated rejection (AMR) in kidney allografts. AMR has remained challenging in kidney transplantation and is the major cause of late allograft loss. However, not all patients with DSA develop AMR, leading to the question of whether this represents accommodation, if other protective mechanisms exist or if this is actually a state of pre-rejection.

Publication Title

A pathogenesis-based transcript signature in donor-specific antibody-positive kidney transplant patients with normal biopsies.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE48944
Gene expression profiles of human kidneys
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

The association of cytosine methylation and gene expression in the human kidneys is yet to be determined, here we have 25 pairs of the methylation and gene expression profile.

Publication Title

Cytosine methylation changes in enhancer regions of core pro-fibrotic genes characterize kidney fibrosis development.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE12682
Expression data from Human Kidney (HK) samples
  • organism-icon Homo sapiens
  • sample-icon 52 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Males are 50% more likely to develop end stage kidney failure compared to women. In this study we wanted to find out the molecular mechanism responsible for this increased risk. We collected kidney samples from patients with and without kidney disease and performed a comprehensive gene expression analysis in healthy and diseased male and female kidneys.

Publication Title

Human and murine kidneys show gender- and species-specific gene expression differences in response to injury.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE12683
Expression data from Balb/c mice kidney samples
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Males are 50% more likely to develop end stage kidney failure compared to women. As a model of the human condition we analyzed gene expression changes in healthy and diseased mouse kidneys.

Publication Title

Human and murine kidneys show gender- and species-specific gene expression differences in response to injury.

Sample Metadata Fields

No sample metadata fields

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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