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 |
|---|---|---|
| subcutaneous adipose tissue |
GSM4721849 GSM4721852 GSM4721854 GSM4721855 GSM4721858 GSM4721860 GSM4721861 GSM4721864 GSM4721866
|
|
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GSM4721850 GSM4721851 GSM4721853 GSM4721856 GSM4721857 GSM4721859 GSM4721862 GSM4721863 GSM4721865
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Submission Date: Aug 11, 2020
Summary: Normal-weight polycystic ovary syndrome (PCOS) women exhibit adipose tissue dysfunction in vivo accompanied by enhanced subcutaneous (SC) abdominal adipose stem cell (ASC) development to adipocytes with greater lipid accumulation per cell in vitro. The goal of this study was to determine whether this phenomenon is associated with abnormal adipogenic gene transcription using RNA-sequencing to examine differential transcription patterns in PCOS vs controls. We found enhanced activation of adipogenic and adipocyte function genes and decreased expression of genes within the Wnt signaling pathway. In this study we conclude that this altered expression of genes in PCOS cells may underlie their exaggerated lipid accumulation in vitro and could predispose to adipose dysfunction in vivo when caloric intake exceeds energy utilization.
GEO Accession ID: GSE156067
PMID: 33228780
Submission Date: Aug 11, 2020
Summary: Normal-weight polycystic ovary syndrome (PCOS) women exhibit adipose tissue dysfunction in vivo accompanied by enhanced subcutaneous (SC) abdominal adipose stem cell (ASC) development to adipocytes with greater lipid accumulation per cell in vitro. The goal of this study was to determine whether this phenomenon is associated with abnormal adipogenic gene transcription using RNA-sequencing to examine differential transcription patterns in PCOS vs controls. We found enhanced activation of adipogenic and adipocyte function genes and decreased expression of genes within the Wnt signaling pathway. In this study we conclude that this altered expression of genes in PCOS cells may underlie their exaggerated lipid accumulation in vitro and could predispose to adipose dysfunction in vivo when caloric intake exceeds energy utilization.
GEO Accession ID: GSE156067
PMID: 33228780
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.