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
20-week-old male mice
GSM506030 GSM506031 GSM506032
GSM506027 GSM506028 GSM506029
GSM506024 GSM506025 GSM506026
GSM506033 GSM506034 GSM506035
Description

Submission Date: Feb 02, 2010

Summary: We found that the circadian protein PER2 interacts with the nuclear receptor PPARgamma to repress its activity. PPARgamma is a master regulator of adipogenesis and lipid metabolism and is very abundant in adipose tissue. We used microarrays to detail the global program of gene expression in adipose tissue lacking the per2 gene. This analysis identified several PPARgamma target genes up-regulated in adipose tissue from per2-/- mice.

GEO Accession ID: GSE20165

PMID: 21035761

Description

Submission Date: Feb 02, 2010

Summary: We found that the circadian protein PER2 interacts with the nuclear receptor PPARgamma to repress its activity. PPARgamma is a master regulator of adipogenesis and lipid metabolism and is very abundant in adipose tissue. We used microarrays to detail the global program of gene expression in adipose tissue lacking the per2 gene. This analysis identified several PPARgamma target genes up-regulated in adipose tissue from per2-/- mice.

GEO Accession ID: GSE20165

PMID: 21035761

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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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Perturbation Condition

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