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.
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GROUP CONDITION SAMPLES
Epididymal White Adipose Tissue
GSM1587297 GSM1587298 GSM1587299
GSM1587294 GSM1587295 GSM1587296
Description

Submission Date: Jan 20, 2015

Summary: Single nucleotide polymorphisms in intron 1 of the fat mass and obesity-associated (FTO) gene were found to be associated with an increased risk of adult obesity. Enhanced FTO expression in mice leads to hyperphagia, increased fat mass, and higher body weight. Neuronal-specific FTO–deleted mice have an identical lean body weight phenotype to global FTO-deleted mice. The physiological role of adipose FTO in the homeostasis of energy regulation remains to be elucidated.

We used microarrays to elucidate the metabolic pathways that are regulated by FTO in the white fat.

GEO Accession ID: GSE65098

PMID: 26671148

Description

Submission Date: Jan 20, 2015

Summary: Single nucleotide polymorphisms in intron 1 of the fat mass and obesity-associated (FTO) gene were found to be associated with an increased risk of adult obesity. Enhanced FTO expression in mice leads to hyperphagia, increased fat mass, and higher body weight. Neuronal-specific FTO–deleted mice have an identical lean body weight phenotype to global FTO-deleted mice. The physiological role of adipose FTO in the homeostasis of energy regulation remains to be elucidated.

We used microarrays to elucidate the metabolic pathways that are regulated by FTO in the white fat.

GEO Accession ID: GSE65098

PMID: 26671148

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.

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Differential Gene Expression Analysis
Info Differential expression signatures can be computed using DESeq2 or characteristic direction.
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