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accession-icon GSE57802
Transcriptome Profiling of patients with 16p11.2 rearrangements
  • organism-icon Homo sapiens
  • sample-icon 99 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

The 600kb BP4-BP5 16p11.2 CNV (copy number variant) is associated with neuroanatomical, neurocognitive and metabolic disorders. These recurrent rearrangements are associated with reciprocal phenotypes such as obesity and underweight, macro- and microcephaly, as well as autism spectrum disorder (ASD) and schizophrenia. Here we interrogated the transcriptome of individuals carrying reciprocal CNVs in 16p11.2.

Publication Title

A Potential Contributory Role for Ciliary Dysfunction in the 16p11.2 600 kb BP4-BP5 Pathology.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
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

View Samples
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 GSE65823
Identification of a new subclass of ALK negative ALCL expressing aberrant levels of ERBB4 transcripts
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Anaplastic Large Cell Lymphoma (ALCL) is a clinical and biological heterogeneous disease including ALK positive and ALK negative systemic forms. To discover biomarkers and/or genes involved in ALK negative ALCL pathogenesis, we applied the Cancer Outlier Profile Analysis (COPA) algorithm to a gene expression profiling data set including 249 cases of T-NHLs and normal T-cells. Ectopic co-expression of ERBB4 and COL29A1 genes was detected in 24% of ALK negative ALCL patients. RNA sequencing and 5'RNA Ligase Mediated Rapid Amplification of cDNA Ends (RLM-RACE) identified two novel ERBB4 truncated transcripts, displaying intronic Transcription Starting Sites. ERBB4 expression was confirmed at protein level by western blotting and immunohistochemistry. Moreover, by luciferase assays we defined that the expression of ERBB4 aberrant transcripts is promoted by endogenous intronic Long Terminal Repeats (LTRs). In conclusion, we identified a new subclass of ALK negative ALCL characterized by aberrant expression of ERBB4 truncated transcripts carrying intronic 5'UTRs.

Publication Title

Identification of a new subclass of ALK-negative ALCL expressing aberrant levels of ERBB4 transcripts.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE53980
Beneficial Metabolic Effects of Rapamycin are Associated with Enhanced Regulatory Cells in Diet-Induced Obese Mice.
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Analysis of rapamycin effects on white adipose tissue at gene expression level. The hypothesis tested in the present study was that rapamycin could modify immune cell composition and inflammatory state of the adipose tissue of obese mice.

Publication Title

Beneficial metabolic effects of rapamycin are associated with enhanced regulatory cells in diet-induced obese mice.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE87650
Integrative Epigenome-Wide Analysis Shows That DNA Methylation May Mediate Genetic Risk In Inflammatory Bowel Disease
  • organism-icon Homo sapiens
  • sample-icon 251 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Integrative epigenome-wide analysis demonstrates that DNA methylation may mediate genetic risk in inflammatory bowel disease.

Sample Metadata Fields

Sex, Age, Specimen part, Subject

View Samples
accession-icon GSE86434
Integrative Epigenome-Wide Analysis Shows That DNA Methylation May Mediate Genetic Risk In Inflammatory Bowel Disease [Expression profiling]
  • organism-icon Homo sapiens
  • sample-icon 251 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Epigenetic alterations may provide important insights into gene-environment interaction in inflammatory bowel disease (IBD). Here we observe epigenome-wide DNA methylation differences in 240 newly-diagnosed IBD cases and 190 controls. These include 439 differentially methylated positions (DMPs) and 5 differentially methylated regions (DMRs), which we study in detail using whole genome bisulphite sequencing. We replicate the top DMP (RPS6KA2) and DMRs (VMP1, ITGB2, TXK) in an independent cohort.

Publication Title

Integrative epigenome-wide analysis demonstrates that DNA methylation may mediate genetic risk in inflammatory bowel disease.

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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