Meta-analysis of transcriptomic responses as a means to identify pulmonary disease outcomes for engineered nanomaterials.

ABSTRACT:

Background

The increasing use of engineered nanomaterials (ENMs) of varying physical and chemical characteristics poses a great challenge for screening and assessing the potential pathology induced by these materials, necessitating novel toxicological approaches. Toxicogenomics measures changes in mRNA levels in cells and tissues following exposure to toxic substances. The resulting information on altered gene expression profiles, associated pathways, and the doses at which these changes occur, are used to identify the underlying mechanisms of toxicity and to predict disease outcomes. We evaluated the applicability of toxicogenomics data in identifying potential lung-specific (genomic datasets are currently available from experiments where mice have been exposed to various ENMs thr

SUBMITTER: Nikota J 

PROVIDER: S-EPMC4865099 | biostudies-literature | 2016 May

REPOSITORIES: biostudies-literature