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
Hypothalamus
GSM3625304 GSM3625305 GSM3625306
GSM3625298 GSM3625299 GSM3625300
GSM3625301 GSM3625302 GSM3625303
Description

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

Description

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

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