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accession-icon GSE13506
Galanin preproprotein is associated with elevated plasma triglycerides
  • organism-icon Homo sapiens
  • sample-icon 41 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Assessment of mRNA expression levels in fat biopsies from subcutaneous adipose tissue from unrelated individuals.

Publication Title

Galanin preproprotein is associated with elevated plasma triglycerides.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE38870
Expression data of satellite cells through muscle injury time course
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Satellite cells are resident skeletal muscle stem cells responsible for muscle maintenance and repair. In resting muscle, satellite cells are maintained in a quiescent state. Satellite cell activation induces the myogenic commitment factor, MyoD, and cell cycle entry to facilitate transition to a population of proliferating myoblasts that eventually exit the cycle and regenerate muscle tissue. The molecular mechanism involved in the transition of a quiescent satellite cell to a transit-amplifying myoblast is poorly understood.

Publication Title

A role for RNA post-transcriptional regulation in satellite cell activation.

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP066619
A zebrafish melanoma model reveals emergence of neural crest identity during melanoma initiation [human cell line RNA-seq]
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

We report gene expression data for human melanoma cell lines using RNAseq. Overall design: RNAseq was performed on 8 melanoma cell lines and one normal human melanocyte cell line. All done as single replicates, except for two biological replicates of A375.

Publication Title

A zebrafish melanoma model reveals emergence of neural crest identity during melanoma initiation.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP066621
A zebrafish melanoma model reveals emergence of neural crest identity during melanoma initiation [zebrafish RNA-Seq]
  • organism-icon Danio rerio
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

We report gene expression data for FACS sorted zebrafish crestin_1kb:EGFP + cells collected at 15 somite stage (SS). Overall design: crestin_1kb:EGFP + embryos were homogenized, filtered, and sorted using FACS into PBS, collecting ~5,500 EGFP (+) cells and 100K EGFP (-) cells with a single sample for each.

Publication Title

A zebrafish melanoma model reveals emergence of neural crest identity during melanoma initiation.

Sample Metadata Fields

No sample metadata fields

View Samples
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
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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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