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accession-icon GSE27916
Human subcutaneous adipose tissue gene expression (SOS Sib-pair study, offspring cohort)
  • organism-icon Homo sapiens
  • sample-icon 374 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Obesity has considerable effects on morbidity and mortality, and the prevalence of obesity has been increasing rapidly worldwide during the past two decades. Even if obesity affects the entire individual, adipose tissue plays a central role in the development of obesity. Expression profiling of adipose tissue may give insights into the mechanisms contributing to obesity and obesity-related disorders.

Publication Title

Adipose tissue resting energy expenditure and expression of genes involved in mitochondrial function are higher in women than in men.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE35710
Human s.c adipose tissue gene expression during diet-induced weight loss
  • organism-icon Homo sapiens
  • sample-icon 48 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Obesity has considerable effects on morbidity and mortality and the prevalence of obesity has been increasing rapidly worldwide during the past two decades. Even if obesity affects the entire individual, adipose tissue play a central role in the development of obesity. Expression profiling of adipose tissue may give insights into mechanisms contributing to obesity and obesity-related disorders.

Publication Title

Adipose tissue resting energy expenditure and expression of genes involved in mitochondrial function are higher in women than in men.

Sample Metadata Fields

Specimen part, Subject

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 GSE34620
Expression profiling of Ewing sarcoma samples
  • organism-icon Homo sapiens
  • sample-icon 109 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Expression profiling of Ewing sarcoma samples in the frame of the CIT program from the french Ligue Nationale Contre le Cancer (http://cit.ligue-cancer.net).

Publication Title

Common variants near TARDBP and EGR2 are associated with susceptibility to Ewing sarcoma.

Sample Metadata Fields

Sex, Age

View Samples
accession-icon GSE32095
GPR120 mediates high-fat diet induced obesity
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Analysis of GPR120 which play roles for the fatty acid sensor in adipose tissue. Results provide insight into the transcriptional effects caused by the loss of the GPR120 proteins and provide further insight into their functions.

Publication Title

Dysfunction of lipid sensor GPR120 leads to obesity in both mouse and human.

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon GSE76896
Affymetrix profiling of IMIDIA biobank samples from organ donors and partially pancreatectomized patients
  • organism-icon Homo sapiens
  • sample-icon 200 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

Systems biology of the IMIDIA biobank from organ donors and pancreatectomised patients defines a novel transcriptomic signature of islets from individuals with type 2 diabetes.

Sample Metadata Fields

Age

View Samples
accession-icon GSE76894
Affymetrix profiling of IMIDIA biobank samples from organ donors and partially pancreatectomized patients [organ donor cohort]
  • organism-icon Homo sapiens
  • sample-icon 99 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Pancreatic islet beta cell failure causes type 2 diabetes (T2D). The IMIDIA consortium has used a strategy entailing a stringent comparative transcriptomics analysis of islets isolated enzymatically or by laser microdissection from two large cohorts of non-diabetic (ND) and T2D organ donors (OD) or partially pancreatectomized patients (PPP). This work led to the identification of a signature of genes that were differentially expressed between T2D and ND regardless of the sample type (OD or PPP). This signature includes 19 genes, of which 9 have never been previously reported to be differentially expressed in T2D islets. The PPP cohort also includes samples from individuals with impaired glucose tolerance (IGT) or recent onset diabetes associated with a pancreatic exocrine disorder (T3cD). Notably, none of the 19 signature genes of T2D islets were significantly dysregulated in islets of subjects with IGT or T3cD, suggesting that their changed expression reflects beta cell deterioration rather than a deficit preceding it.

Publication Title

Systems biology of the IMIDIA biobank from organ donors and pancreatectomised patients defines a novel transcriptomic signature of islets from individuals with type 2 diabetes.

Sample Metadata Fields

Age

View Samples
accession-icon GSE76895
Affymetrix profiling of IMIDIA biobank samples from organ donors and partially pancreatectomized patients [partially pancreatectomized patient cohort]
  • organism-icon Homo sapiens
  • sample-icon 101 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Pancreatic islet beta cell failure causes type 2 diabetes (T2D). The IMIDIA consortium has used a strategy entailing a stringent comparative transcriptomics analysis of islets isolated enzymatically or by laser microdissection from two large cohorts of non-diabetic (ND) and T2D organ donors (OD) or partially pancreatectomized patients (PPP). This work led to the identification of a signature of genes that were differentially expressed between T2D and ND regardless of the sample type (OD or PPP). This signature includes 19 genes, of which 9 have never been previously reported to be differentially expressed in T2D islets. The PPP cohort also includes samples from individuals with impaired glucose tolerance (IGT) or recent onset diabetes associated with a pancreatic exocrine disorder (T3cD). Notably, none of the 19 signature genes of T2D islets were significantly dysregulated in islets of subjects with IGT or T3cD, suggesting that their changed expression reflects beta cell deterioration rather than a deficit preceding it.

Publication Title

Systems biology of the IMIDIA biobank from organ donors and pancreatectomised patients defines a novel transcriptomic signature of islets from individuals with type 2 diabetes.

Sample Metadata Fields

Age

View Samples
accession-icon GSE19238
Expression data for 2 obese subjects from the SibPair cohort with a deletion on 16p11.2
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We report a highly-penetrant form of obesity, initially observed in 31 heterozygous carriers of a 593kb or larger deletion at 16p11.2 from amongst subjects ascertained for cognitive deficits. Nineteen similar deletions were identified from GWAS data in 16053 individuals from 8 European cohorts; such deletions was absent from healthy non-obese controls and accounted for 0.7% of our morbid obesity cases (p = 6.4x10-8, OR = 43). These findings highlight a promising strategy for identifying missing heritability in obesity and other complex traits, in which insights from rare extreme cases can be used to elucidate the basis for more common phenotypes.

Publication Title

A new highly penetrant form of obesity due to deletions on chromosome 16p11.2.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon SRP178543
Single-cell RNA sequencing on breast cancer cells enriched for cancer stem cell properties using functional assays
  • organism-icon Homo sapiens
  • sample-icon 121 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

We used mammosphere formation assay and label-retention assay as functional cellular approaches to enrich for cells with different degree of cancer stem cell properties in the breast cancer cell line MDA-MB-231 and performed single-cell RNA sequencing Overall design: Single cells from three different populations: 30 cells from G1 cell cycle phase cultured in adherent conditions, 46 cells with low proliferation cultured in non-adherent conditions (mammosphere assasy), 45 cells with high proliferation cultured in non-adherent conditions (mammosphere assay)

Publication Title

Erratum: Identification of Breast Cancer Stem Cell Related Genes Using Functional Cellular Assays Combined With Single-Cell RNA Sequencing in MDA-MB-231 Cells.

Sample Metadata Fields

Cell line, Subject

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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