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.
Select conditions below to toggle them from the plot:
| GROUP | CONDITION | SAMPLES |
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| C57BL/6 |
GSM994225 GSM994226 GSM994227 GSM994228 GSM994229
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GSM994220 GSM994221 GSM994222 GSM994223 GSM994224
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GSM994215 GSM994216 GSM994217 GSM994218 GSM994219
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GSM994210 GSM994211 GSM994212 GSM994213 GSM994214
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Submission Date: Aug 28, 2012
Summary: In the present study we have studied the mechanistic and functional aspects of NCoR1 function in mouse skeletal muscle. NCoR1 muscle-specific knockout mice exhibited an increased oxidative metabolism. Global gene expression analysis revealed a high overlap between the effects of NCoR1 deletion and peroxisome proliferator-activated receptor (PPAR) gamma coactivator 1alpha (PGC-1alpha) overexpression on oxidative metabolism in skeletal muscle. The repressive effect of NCoR1 on oxidative phosphorylation gene expression specifically antagonizes PGC-1alpha-mediated coactivation of ERRalpha. We therefore delineated the molecular mechanism by which a transcriptional network controlled by corepressor and coactivator proteins determines the metabolic properties of skeletal muscle, thus representing a potential therapeutic target for metabolic diseases.
GEO Accession ID: GSE40439
PMID: 23028049
Submission Date: Aug 28, 2012
Summary: In the present study we have studied the mechanistic and functional aspects of NCoR1 function in mouse skeletal muscle. NCoR1 muscle-specific knockout mice exhibited an increased oxidative metabolism. Global gene expression analysis revealed a high overlap between the effects of NCoR1 deletion and peroxisome proliferator-activated receptor (PPAR) gamma coactivator 1alpha (PGC-1alpha) overexpression on oxidative metabolism in skeletal muscle. The repressive effect of NCoR1 on oxidative phosphorylation gene expression specifically antagonizes PGC-1alpha-mediated coactivation of ERRalpha. We therefore delineated the molecular mechanism by which a transcriptional network controlled by corepressor and coactivator proteins determines the metabolic properties of skeletal muscle, thus representing a potential therapeutic target for metabolic diseases.
GEO Accession ID: GSE40439
PMID: 23028049
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.