Nano Science and Technology Institute
Nanotech 2014 Vol. 3
Nanotech 2014 Vol. 3
Nanotechnology 2014: Electronics, Manufacturing, Environment, Energy & Water
 
Chapter 2: Sustainable Nanotechnology: Environmental Apps & EHS Implications
 

In vitro Model for Identifying Subchronic Carbon Nanotube Exposure and Lung Cancer Gene Markers

Authors:T. Stueckle, D. Davidson, R. Derk, T. Meighan, V. Castranova, Y. Rojanasakul, L. Wang
Affilation:National Institute for Occupational Safety and Health, US
Pages:150 - 153
Keywords:carbon nanotube, asbestos, in vitro model, biomarkers, toxicogenomics
Abstract:Concern for increased risk of carbon nanotube-associated lung disease, including carcinogenesis, has been raised due to asbestos-like characteristics. To date, no particle specific nanomaterial exposure or lung cancer markers have been identified. Here, we use our subchronic in vitro exposure model coupled with toxicogenomic profiling and correlation feature selection strategies to identify particle-specific, key gene markers from our CNT-transformed cell lines. SWCNT-, MWCNT-, crocidolite asbestos (ASB)-, ultrafine carbon black (UFCB)-treated and control SAECs genome expression signatures were subjected to comparative marker and class neighbor analyses to identify genes with highly correlated expression for each treatment. Here, we present robust SWCNT-, MWCNT-, ASB- and UFCB-induced specific gene marker sets for in vitro chronically exposed lung epithelial cells. Both SWCNT and MWCNT markers were associated with lipid metabolism and cancer while ASB and UFCB centered on inflammatory response and senescence, respectively. Biological functions associated with each small gene marker subset for each particlewere predictive of the entire genome signature and exposed cell phenotype. Toxicogenomic signature profiling in a subchronic in vitro exposure model identified particle-specific gene markers which can potentially aid in assessing detection of early onset of CNT pulmonary disease.
ISBN:978-1-4822-5830-1
Pages:588
Hardcopy:$209.95
 
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