Gene Expression Data Explorer
Info Gene counts are sourced from ARCHS4, which provides uniform alignment of GEO samples. You can learn more about ARCHS4 and its pipeline here.
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GROUP CONDITION SAMPLES
BAT
GSM3119128
GSM3119104 GSM3119108
WAT
GSM3119117 GSM3119119
GSM3119105
Description

Submission Date: Apr 27, 2018

Summary: We analyzed coding transcript abundance in paired biopsies of white and brown adipose tissue obtained from the supraclavicular region of 15 healthy subjects.

In a prior experiment measuring 18F-deoxyglucose uptake by PET-CT, 9 subjects displayed active brown fat and 6 did not.

GEO Accession ID: GSE113764

PMID: 29909972

Description

Submission Date: Apr 27, 2018

Summary: We analyzed coding transcript abundance in paired biopsies of white and brown adipose tissue obtained from the supraclavicular region of 15 healthy subjects.

In a prior experiment measuring 18F-deoxyglucose uptake by PET-CT, 9 subjects displayed active brown fat and 6 did not.

GEO Accession ID: GSE113764

PMID: 29909972

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:

No precomputed signatures are currently available for this study. You can compute differential gene expression on the fly below:

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:
Bulk RNA-seq Appyter

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.