Microarray Data Explorer
Info 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.
Enter gene symbol:

Select conditions below to toggle them from the plot:

GROUP CONDITION SAMPLES
Epicardial Adipose Tissue
GSM3415027 GSM3415028 GSM3415029 GSM3415030 GSM3415031 GSM3415032 GSM3415033 GSM3415034 GSM3415035
GSM3415017 GSM3415018 GSM3415019 GSM3415020 GSM3415021 GSM3415022 GSM3415023 GSM3415024 GSM3415025 GSM3415026
Subcutaneous Adipose Tissue
GSM3415009 GSM3415010 GSM3415011 GSM3415012 GSM3415013 GSM3415014 GSM3415015 GSM3415016
GSM3415000 GSM3415001 GSM3415002 GSM3415003 GSM3415004 GSM3415005 GSM3415006 GSM3415007 GSM3415008
Description

Submission Date: Oct 03, 2018

Summary: We took samples of subcutaneous adipose tissue from the sternum (SAT) and epicardial adipose tissue (EAT) from a site adjacent to the right coronary artery in cases with coronary disease and controls without coronary disease.

Cases had significant coronary disease and were undergoing coronary artery bypass surgery. Controls all had coronary angiograms and did not have significant coronary disease.

GEO Accession ID: GSE120774

PMID: 31513547

Description

Submission Date: Oct 03, 2018

Summary: We took samples of subcutaneous adipose tissue from the sternum (SAT) and epicardial adipose tissue (EAT) from a site adjacent to the right coronary artery in cases with coronary disease and controls without coronary disease.

Cases had significant coronary disease and were undergoing coronary artery bypass surgery. Controls all had coronary angiograms and did not have significant coronary disease.

GEO Accession ID: GSE120774

PMID: 31513547

Visualize Samples

Info Visualizations are precomputed using the Python package scanpy on the top 5000 most variable genes.

Precomputed Differential Gene Expression

Info 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 Gene Expression Analysis
Info Differential expression signatures can be computed using DESeq2 or characteristic direction.
Select differential expression analysis method: