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Raw gene Expression data is sourced from GEO, and the appropriate db package for mapping probes to gene symbols was sourced from the Bioconductor AnnotationData packages.
You can read more about microarray data here.
Select conditions below to toggle them from the plot:
| GROUP | CONDITION | SAMPLES |
|---|---|---|
| Abdominal subcutaneous adipose tissue (scWAT) |
GSM3262057 GSM3262058 GSM3262059 GSM3262060 GSM3262061 GSM3262062 GSM3262063 GSM3262064 GSM3262065 GSM3262066
|
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GSM3262047 GSM3262048 GSM3262049 GSM3262050 GSM3262051 GSM3262052 GSM3262053 GSM3262054 GSM3262055 GSM3262056
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Submission Date: Jul 09, 2018
Summary: Exercise improves health and well-being across diverse organ systems, and elucidating mechanisms underlying the beneficial effects of exercise on health can lead to new therapies for disease. We find that exercise training in humans causes profound changes in subcutaneous adipose tissue (scWAT) gene expression, including genes encoding secreted proteins. In addition, we used our previously published microarray dataset derived from scWAT from mice housed in static cages (sedentary controls) or mice housed in cages with running wheels for 11 days. Genes that were significantly changed by exercise training in humans and mice were further selected by annotation for Extracellular Space in Gene Ontology. Of these genes, the most significantly correlated with the total wheel running distance in the trained mice was Tgfb2. We validated that exercise training increased TGFB2 mRNA in scWAT of human subjects using RT-qPCR. This led us to hypothesize that TGF-β2 is an exercise-induced adipokine. To determine the therapeutic potential and mechanism for increased TGF-β2, we investigated mouse models of exercise training and obesity. Our findings indicate that exercise training improves metabolism through inter-organ communication with fat via a TGF-β2 signaling, providing a novel mechanism for counteracting metabolic disease.
GEO Accession ID: GSE116801
PMID: No Pubmed ID
Submission Date: Jul 09, 2018
Summary: Exercise improves health and well-being across diverse organ systems, and elucidating mechanisms underlying the beneficial effects of exercise on health can lead to new therapies for disease. We find that exercise training in humans causes profound changes in subcutaneous adipose tissue (scWAT) gene expression, including genes encoding secreted proteins. In addition, we used our previously published microarray dataset derived from scWAT from mice housed in static cages (sedentary controls) or mice housed in cages with running wheels for 11 days. Genes that were significantly changed by exercise training in humans and mice were further selected by annotation for Extracellular Space in Gene Ontology. Of these genes, the most significantly correlated with the total wheel running distance in the trained mice was Tgfb2. We validated that exercise training increased TGFB2 mRNA in scWAT of human subjects using RT-qPCR. This led us to hypothesize that TGF-β2 is an exercise-induced adipokine. To determine the therapeutic potential and mechanism for increased TGF-β2, we investigated mouse models of exercise training and obesity. Our findings indicate that exercise training improves metabolism through inter-organ communication with fat via a TGF-β2 signaling, providing a novel mechanism for counteracting metabolic disease.
GEO Accession ID: GSE116801
PMID: No Pubmed ID
Visualize Samples
Visualizations are precomputed using the Python package scanpy on the top 5000 most variable genes.
Precomputed Differential Gene Expression
Differential expression signatures are automatically computed using the limma R package.
More options for differential expression are available to compute below.
Signatures:
Select conditions:
Control Condition
Perturbation Condition
Only conditions with at least 1 replicate are available to select
Differential expression signatures can be computed using DESeq2 or characteristic direction.