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The Overlap of Lung Tissue Transcriptome of Smoke Exposed Mice with Human Smoking and COPD

Authors :
Peter D. Paré
Philip M. Hansbro
Martin R. Stämpfli
Ma'en Obeidat
Yohan Bossé
Corry-Anke Brandsma
Alvar Agusti
Don D. Sin
Anna Dvorkin-Gheva
David C. Nickle
Xuan Li
Rosa Faner
Groningen Research Institute for Asthma and COPD (GRIAC)
Source :
Scientific Reports, Dipòsit Digital de la UB, Universidad de Barcelona, Scientific Reports, 8(1):11881. Nature Publishing Group, Scientific Reports, Vol 8, Iss 1, Pp 1-10 (2018)
Publication Year :
2018
Publisher :
Nature Publishing Group, 2018.

Abstract

Genome-wide mRNA profiling in lung tissue from human and animal models can provide novel insights into the pathogenesis of chronic obstructive pulmonary disease (COPD). While 6 months of smoke exposure are widely used, shorter durations were also reported. The overlap of short term and long-term smoke exposure in mice is currently not well understood, and their representation of the human condition is uncertain. Lung tissue gene expression profiles of six murine smoking experiments (n = 48) were obtained from the Gene Expression Omnibus (GEO) and analyzed to identify the murine smoking signature. The “human smoking” gene signature containing 386 genes was previously published in the lung eQTL study (n = 1,111). A signature of mild COPD containing 7 genes was also identified in the same study. The lung tissue gene signature of “severe COPD” (n = 70) contained 4,071 genes and was previously published. We detected 3,723 differentially expressed genes in the 6 month-exposure mice datasets (FDR −26) and a 1.4 fold in the severe COPD -related genes (P = 2.3 × 10−12). There was no significant enrichment of the mice and human smoking-related genes in mild COPD signature. These data suggest that murine smoke models are strongly representative of molecular processes of human smoking but less of COPD.

Details

Language :
English
ISSN :
20452322
Volume :
8
Issue :
1
Database :
OpenAIRE
Journal :
Scientific Reports
Accession number :
edsair.doi.dedup.....5574fc48c6f24694467f79000e2e8af8