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Sex difference in EGFR pathways in mouse kidney-potential impact on the immune system

Overview of attention for article published in BMC Genomic Data, November 2016
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Title
Sex difference in EGFR pathways in mouse kidney-potential impact on the immune system
Published in
BMC Genomic Data, November 2016
DOI 10.1186/s12863-016-0449-3
Pubmed ID
Authors

Fengxia Liu, Yan Jiao, Yun Jiao, Franklin Garcia-Godoy, Weikuan Gu, Qingyi Liu

Abstract

Epidermal growth factor receptor (Egfr) has been the target of several drugs for cancers. The potential gender differences in genes in the Egfr axis have been suggested in humans and in animal models. Female and male mice from the same recombinant inbred (RI) strain have the same genomic components except the sex difference. A population of different RI mouse strains allows to conduct precise analysis of molecular pathways and regulation of Egfr between female and male mice. The whole genome expression profiles of 70 genetically diverse RI strains of mice were used to compare three major molecular aspects of Egfr gene: the relative expression levels, gene network and expression quantitative trait loci (eQTL) that regulate the expression of Egfr between female and male mice. Our data showed that there is a significant sex difference in the expression levels in kidney. A considerable number of genes in the gene network of Egfr are sex differentially expressed. The expression levels of Egfr in mice are statistical significant different between C57BL/6 J (B6) and DBA/2 J (D2) genotypes in male while no difference in female mice. The eQTLs that regulate the expression levels of Egfr between female and male mice are also different. Furthermore, the differential expression levels of Egfr showed significantly different correlations with two known biological traits between male and female mice. Overall there is a substantial sex difference in the Egfr pathways in mice. These data may have significant impact on drug target design, development, formulation, and dosage determinant for women and men in clinical trials.

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The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 24%
Researcher 4 19%
Student > Bachelor 3 14%
Other 2 10%
Professor 1 5%
Other 1 5%
Unknown 5 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 19%
Chemistry 3 14%
Agricultural and Biological Sciences 2 10%
Engineering 2 10%
Medicine and Dentistry 2 10%
Other 3 14%
Unknown 5 24%