Lung transcriptomic clock predicts premature aging in cigarette smoke-exposed mice

Lung transcriptomic clock predicts premature aging in cigarette smoke-exposed mice

Abstract Background Lung aging is characterized by a number of structural alterations including fibrosis, chronic inflammation and the alteration of inflammatory cell composition. Chronic exposure to cigarette smoke (CS) is known to induce similar alterations and may contribute to premature lung agi...

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Bibliographic Details
Main Authors: Mohamed-Amin Choukrallah, Julia Hoeng, Manuel C. Peitsch, Florian Martin
Format: Article
Language:English
Published: BMC 2020-04-01
Series:BMC Genomics
Subjects:
Age prediction
Machine learning
Transcriptomics
Cigarette smoke exposure
Lung inflammation
Online Access:http://link.springer.com/article/10.1186/s12864-020-6712-z

Internet

http://link.springer.com/article/10.1186/s12864-020-6712-z

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