Gene Expression Architecture of Mouse Dorsal and Tail Skin Reveals Functional Differences in Inflammation and Cancer | Zendy

David A. Quigley | Zendy; Eve Kandyba | Zendy; Phillips Huang | Zendy; Kyle Halliwill | Zendy; Jonas Sjölund | Zendy; Facundo Pelorosso | Zendy; Christine E. Wong | Zendy; Gillian L. Hirst | Zendy; Di Wu | Zendy; Reyno Delrosario | Zendy; Atul Kumar | Zendy; Allan Balmain | Zendy

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Gene Expression Architecture of Mouse Dorsal and Tail Skin Reveals Functional Differences in Inflammation and Cancer

Author(s) -

David A. Quigley,

Eve Kandyba,

Phillips Huang,

Kyle Halliwill,

Jonas Sjölund,

Facundo Pelorosso,

Christine E. Wong,

Gillian L. Hirst,

Di Wu,

Reyno Delrosario,

Atul Kumar,

Allan Balmain

Publication year - 2016

Publication title -

cell reports

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 6.264

H-Index - 154

eISSN - 2639-1856

pISSN - 2211-1247

DOI - 10.1016/j.celrep.2016.06.061

Subject(s) - biology , carcinogenesis , wnt signaling pathway , germline , expression quantitative trait loci , pten , gene expression , genetics , gene , germline mutation , cancer research , signal transduction , microbiology and biotechnology , mutation , pi3k/akt/mtor pathway , genotype , single nucleotide polymorphism

Inherited germline polymorphisms can cause gene expression levels in normal tissues to differ substantially between individuals. We present an analysis of the genetic architecture of normal adult skin from 470 genetically unique mice, demonstrating the effect of germline variants, skin tissue location, and perturbation by exogenous inflammation or tumorigenesis on gene signaling pathways. Gene networks related to specific cell types and signaling pathways, including sonic hedgehog (Shh), Wnt, Lgr family stem cell markers, and keratins, differed at these tissue sites, suggesting mechanisms for the differential susceptibility of dorsal and tail skin to development of skin diseases and tumorigenesis. The Pten tumor suppressor gene network is rewired in premalignant tumors compared to normal tissue, but this response to perturbation is lost during malignant progression. We present a software package for expression quantitative trait loci (eQTL) network analysis and demonstrate how network analysis of whole tissues provides insights into interactions between cell compartments and signaling molecules.

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