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Dataset Information

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 aging. Additionally, aging and CS exposure are associated with transcriptional alterations in the lung. The current work aims to explore the interaction between age- and CS- associated transcriptomic perturbations and develop a transcriptomic clock able to predict the biological age and the impact of external factors on lung aging.

Results

Our investigations revealed a substantial overlap between transcriptomic response to CS exposure and age-related transcriptomic alterations in the murine l

SUBMITTER: Choukrallah MA 

PROVIDER: S-EPMC7147004 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature