Supplementary datasets to publication about Genome wide co-expression analysis of steroid receptors in the mouse brain

Datacite citation style:
Mahfouz, Ahmed (2015): Supplementary datasets to publication about Genome wide co-expression analysis of steroid receptors in the mouse brain. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:ecc3b182-d312-4216-9053-a824d0e04d5e
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
These are the supplementary datasets to our publication "Genome wide co-expression analysis of steroid receptors in the mouse brain: identification of dedicated signaling pathways and functionally coordinated regions". Steroid receptors are pleiotropic transcription factors that coordinate adaptation to different physiological states. An important target organ is the brain, but even though their effects are well studied in specific regions, brain-wide steroid receptor targets and mediators remain largely unknown due to the brain complexity. Here, we tested the idea that novel aspects of steroid action can be identified through spatial correlation of steroid receptors with genome-wide mRNA expression across different regions in the mouse brain. First, we observed significant co-expression of receptors with sets of steroid target genes that were identified in single brain regions. These co-expression relationships were also present in distinct other brain regions, suggestive of as yet unidentified coordinate regulation of brain regions by e.g. glucocorticoids and estrogens. Second, co-expression of a set of 62 known nuclear receptor co-regulators and the six steroid receptors in 12 non-overlapping mouse brain regions revealed selective downstream pathways, such as Pak6 as a mediator for androgen and glucocorticoid receptor’s effects on dopaminergic transmission. Third, Magel2 and Irs4 were identified and validated as strongly responsive to the estrogen diethylstilbesterol in the mouse hypothalamus. The brain- and genome wide correlations of mRNA expression levels that we provide constitute a rich resource for further prediction and understanding brain modulation by steroid hormones.
history
  • 2015-10-15 first online, published, posted
publisher
Delft University of Technology and Leiden University Medical Center
format
media types: application/vnd.ms-excel, application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, application/zip, text/plain
organizations
Department of Radiology, Leiden University Medical Center;
Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology

DATA

files (1)