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 |
|---|---|---|
| Hypothalamus |
GSM3625298 GSM3625299 GSM3625300
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GSM3625301 GSM3625302 GSM3625303
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GSM3625304 GSM3625305 GSM3625306
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Submission Date: Feb 25, 2019
Summary: The consumption of a 60% high fat diet leads to increased body weight and the development of the metabolic syndrome. We analyzed hypothalamic samples of WT mice as it has been previously shown that the hypothalamus plays a crucial role in the regulation of energy homeostasis.
We used microarrays to detail the global programme of gene expression affected by the consumption of a high fat diet specifically in the hypothalamus of WT mice.
GEO Accession ID: GSE127056
PMID: 31076569
Submission Date: Feb 25, 2019
Summary: The consumption of a 60% high fat diet leads to increased body weight and the development of the metabolic syndrome. We analyzed hypothalamic samples of WT mice as it has been previously shown that the hypothalamus plays a crucial role in the regulation of energy homeostasis.
We used microarrays to detail the global programme of gene expression affected by the consumption of a high fat diet specifically in the hypothalamus of WT mice.
GEO Accession ID: GSE127056
PMID: 31076569
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.