Gene counts are sourced from ARCHS4, which provides uniform alignment of GEO samples.
You can learn more about ARCHS4 and its pipeline here.
Select conditions below to toggle them from the plot:
| GROUP | CONDITION | SAMPLES |
|---|---|---|
| skeletal muscle (vastus lateralis) |
GSM4083523 GSM4083525 GSM4083527 GSM4083529 GSM4083531 GSM4083533
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GSM4083516 GSM4083517 GSM4083518 GSM4083519 GSM4083520 GSM4083521
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GSM4083534 GSM4083536 GSM4083538 GSM4083540 GSM4083542 GSM4083544
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GSM4083535 GSM4083537 GSM4083539 GSM4083541 GSM4083543 GSM4083545
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GSM4083522 GSM4083524 GSM4083526 GSM4083528 GSM4083530 GSM4083532
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Submission Date: Sep 18, 2019
Summary: We reported that skeletal muscle insulin sensitivity was restored to a lean phenotype with exercise training in patients undergoing RYGB surgery. For that, the goals of this study is to identify changes in the skeletal muscle transcriptome profiling (RNA-seq) that could explain the insulin sensitivity improvement of RYGB + exercise training group.
GEO Accession ID: GSE137631
PMID: 32409493
Submission Date: Sep 18, 2019
Summary: We reported that skeletal muscle insulin sensitivity was restored to a lean phenotype with exercise training in patients undergoing RYGB surgery. For that, the goals of this study is to identify changes in the skeletal muscle transcriptome profiling (RNA-seq) that could explain the insulin sensitivity improvement of RYGB + exercise training group.
GEO Accession ID: GSE137631
PMID: 32409493
Visualizations are precomputed using the Python package scanpy on the top 5000 most variable genes.
Differential expression signatures are automatically computed using the limma R package.
More options for differential expression are available to compute below.
Signatures:
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.
This pipeline enables you to analyze and visualize your bulk RNA sequencing datasets with an array of downstream analysis and visualization tools. The pipeline includes: PCA analysis, Clustergrammer interactive heatmap, library size analysis, differential gene expression analysis, enrichment analysis, and L1000 small molecule search.