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

Choukrallah, Mohamed-Amin; Hoeng, Julia; Peitsch, Manuel C; Martin, Florian

Choukrallah, Mohamed-Amin; Hoeng, Julia; Peitsch, Manuel C; Martin, Florian.

Affiliation

Choukrallah MA; Philip Morris International R&D, Quai Jeanrenaud 5, 2003, Neuchâtel, Switzerland. MohamedAmin.Choukrallah@pmi.com.
Hoeng J; Philip Morris International R&D, Quai Jeanrenaud 5, 2003, Neuchâtel, Switzerland.
Peitsch MC; Philip Morris International R&D, Quai Jeanrenaud 5, 2003, Neuchâtel, Switzerland.
Martin F; Philip Morris International R&D, Quai Jeanrenaud 5, 2003, Neuchâtel, Switzerland.

BMC Genomics ; 21(1): 291, 2020 Apr 09.

Article in En | MEDLINE | ID: mdl-32272900

Subject(s)

Aging, Premature/genetics; Gene Expression Profiling/methods; Lung/chemistry; Smoke/adverse effects; Aging, Premature/chemically induced; Animals; B-Lymphocytes/chemistry; Circadian Rhythm; Disease Models, Animal; Female; Gene Expression Regulation/drug effects; Lung/drug effects; Machine Learning; Mice; Mice, Inbred C57BL; Oligonucleotide Array Sequence Analysis; Tobacco Products

Key words

Age prediction; Cigarette smoke exposure; Lung inflammation; Machine learning; Transcriptomics

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Smoke / Aging, Premature / Gene Expression Profiling / Lung Type of study: Prognostic_studies / Risk_factors_studies Limits: Animals Language: En Journal: BMC Genomics Journal subject: GENETICA Year: 2020 Type: Article Affiliation country: Switzerland

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