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accession-icon GSE12845
B cell subsets from human tonsil and blood
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

B cells from human tonsil and blood were sorted using flow cytometry. The human samples were processed immediately ex-vivo using markers for known B cell subsets.

Publication Title

Analysis of somatic hypermutation in X-linked hyper-IgM syndrome shows specific deficiencies in mutational targeting.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE12366
B cell subsets
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Sorted B cells using flow cytometry

Publication Title

Analysis of somatic hypermutation in X-linked hyper-IgM syndrome shows specific deficiencies in mutational targeting.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE53823
Genetic differences underlying chromatin discordance between monozygotic twins
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Genetic factors underlying discordance in chromatin accessibility between monozygotic twins.

Sample Metadata Fields

Specimen part

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accession-icon GSE53822
Genetic differences underlying chromatin discordance between monozygotic twins [expression profile]
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Open chromatin is implicated in regulatory processes, and thus variation in chromatin structure may contribute to variation in gene expression and other molecular phenotypes. In this work, we performed a targeted deep sequencing to identify somatic mutations and genetic polymorphisms underlying accessible chromatin in the genomes of 72 monozygotic twins.

Publication Title

Genetic factors underlying discordance in chromatin accessibility between monozygotic twins.

Sample Metadata Fields

Specimen part

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accession-icon GSE34200
The NIH Human Pluripotent Stem Cell Database
  • organism-icon Homo sapiens
  • sample-icon 11 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

StemCellDB: the human pluripotent stem cell database at the National Institutes of Health.

Sample Metadata Fields

Sex, Specimen part, Cell line

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accession-icon GSE33789
The NIH Human Pluripotent Stem Cell Database (Affymetrix, mRNA)
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To broaden the appeal of the NIH Stem Cell Database, we analyzed a subset of undifferentiated human embryonic stem cell lines (5 lines in duplicate) on the Affymetrix platform. One standard culture protocol was used in conjunction with rigorous quality control. Expanded description of methods used and are available at: http://stemcelldb.nih.gov.

Publication Title

StemCellDB: the human pluripotent stem cell database at the National Institutes of Health.

Sample Metadata Fields

Sex, Cell line

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accession-icon GSE42715
Expression data from open bariatric surgery patients - various adipose samples
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Diabetes and obesity are widespread diseases with signifciant socioeconomic implications. We used three different types of human adipose tissue (epigastric, visceral, and subcutaneous) in order to determine differences in global gene expression between these adipose depots in severely obese patients.

Publication Title

Gene expression profiling in subcutaneous, visceral and epigastric adipose tissues of patients with extreme obesity.

Sample Metadata Fields

Specimen part, Race

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accession-icon SRP064190
Chronic Activation of ?2 AMPK Induces Obesity and Reduces Beta Cell Function
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Despite significant advances in our understanding of the biology determining systemic energy homeostasis, the treatment of obesity remains a medical challenge. Activation of AMP-activated protein kinase (AMPK) has been proposed as an attractive strategy for the treatment of obesity and its complications. AMPK is a conserved, ubiquitously expressed, heterotrimeric serine/threonine kinase whose short-term activation has multiple beneficial metabolic effects. Whether these translate into long-term benefits for obesity and its complications is unknown. Here, we observe that mice with chronic AMPK activation, resulting from mutation of the AMPK ?2 subunit, exhibit ghrelin signalling-dependent hyperphagia, obesity and impaired pancreatic islet insulin secretion. Humans bearing the homologous mutation manifest a congruent phenotype. Our studies highlight that long-term AMPK activation can have adverse metabolic consequences with implications for pharmacological strategies seeking to chronically activate AMPK systemically to treat metabolic disease. Overall design: Transcriptomic profiling of the hypothalamic arcuate nucleus from AMPK ?2 R299Q knock-in mice

Publication Title

Chronic Activation of γ2 AMPK Induces Obesity and Reduces β Cell Function.

Sample Metadata Fields

Specimen part, Cell line, Subject

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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)

fund-icon Fund the CCDL

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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