Literature DB >> 26614807

Identification of gene expression signature for cigarette smoke exposure response--from man to mouse.

F Martin1, M Talikka1, J Hoeng2, M C Peitsch1.   

Abstract

Gene expression profiling data can be used in toxicology to assess both the level and impact of toxicant exposure, aligned with a vision of 21st century toxicology. Here, we present a whole blood-derived gene signature that can distinguish current smokers from either nonsmokers or former smokers with high specificity and sensitivity. Such a signature that can be measured in a surrogate tissue (whole blood) may help in monitoring smoking exposure as well as discontinuation of exposure when the primarily impacted tissue (e.g., lung) is not readily accessible. The signature consisted of LRRN3, SASH1, PALLD, RGL1, TNFRSF17, CDKN1C, IGJ, RRM2, ID3, SERPING1, and FUCA1. Several members of this signature have been previously described in the context of smoking. The signature translated well across species and could distinguish mice that were exposed to cigarette smoke from ones exposed to air only or had been withdrawn from cigarette smoke exposure. Finally, the small signature of only 11 genes could be converted into a polymerase chain reaction-based assay that could serve as a marker to monitor compliance with a smoking abstinence protocol.
© The Author(s) 2015.

Entities:  

Keywords:  Gene expression; blood; signature; smoking; species; surrogate

Mesh:

Year:  2015        PMID: 26614807     DOI: 10.1177/0960327115600364

Source DB:  PubMed          Journal:  Hum Exp Toxicol        ISSN: 0960-3271            Impact factor:   2.903


  13 in total

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Journal:  Comput Toxicol       Date:  2017-07-14

3.  Ensemble of rankers for efficient gene signature extraction in smoke exposure classification.

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6.  Dynamic changes in lung responses after single and repeated exposures to cigarette smoke in mice.

Authors:  Michelle L Engle; Justine N Monk; Corey M Jania; Jessica R Martin; John C Gomez; Hong Dang; Joel S Parker; Claire M Doerschuk
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10.  Whole transcriptome targeted gene quantification provides new insights on pulmonary sarcomatoid carcinomas.

Authors:  Greta Alì; Rossella Bruno; Anello Marcello Poma; Ornella Affinito; Antonella Monticelli; Paolo Piaggi; Sara Ricciardi; Marco Lucchi; Franca Melfi; Antonio Chella; Sergio Cocozza; Gabriella Fontanini
Journal:  Sci Rep       Date:  2019-03-05       Impact factor: 4.379

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