Document Details

Document Type : Article In Journal 
Document Title :
Development of a toxicogenomics signature for genotoxicity using a dose-optimization and informatics strategy in human cells.
Development of a toxicogenomics signature for genotoxicity using a dose-optimization and informatics strategy in human cells.
 
Document Language : English 
Abstract : The development of in vitro molecular biomarkers to accurately predict toxicological effects has become a priority to advance testing strategies for human health risk assessment. The application of in vitro transcriptomic biomarkers promises increased throughput as well as a reduction in animal use. However, the existing protocols for predictive transcriptional signatures do not establish appropriate guidelines for dose selection or account for the fact that toxic agents may have pleiotropic effects. Therefore, comparison of transcriptome profiles across agents and studies has been difficult. Here we present a dataset of transcriptional profiles for TK6 cells exposed to a battery of well-characterized genotoxic and nongenotoxic chemicals. The experimental conditions applied a new dose optimization protocol that was based on evaluating expression changes in several well-characterized stress-response genes using quantitative real-time PCR in preliminary dose-finding studies. The subsequent microarray-based transcriptomic analyses at the optimized dose revealed responses to the test chemicals that were typically complex, often exhibiting substantial overlap in the transcriptional responses between a variety of the agents making analysis challenging. Using the nearest shrunken centroids method we identified a panel of 65 genes that could accurately classify toxicants as genotoxic or nongenotoxic. To validate the 65-gene panel as a genomic biomarker of genotoxicity, the gene expression profiles of an additional three well-characterized model agents were analyzed and a case study demonstrating the practical application of this genomic biomarker-based approach in risk assessment was performed to demonstrate its utility in genotoxicity risk assessment. 
ISSN : 1098-2280 
Journal Name : Environ Mol Mutagen 
Volume : 56 
Issue Number : 6 
Publishing Year : 1436 AH
2015 AD 
Article Type : Article 
Added Date : Sunday, April 24, 2016 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
Heng-Hong LiLi, Heng-Hong Investigator  
Daniel R. HydukeHyduke, Daniel R.Researcher  
Renxiang ChenChen, Renxiang Researcher  
Pamela HeardHeard, Pamela Researcher  
Carole L. YaukYauk, Carole L.Researcher  
Jiri AubrechtAubrecht, Jiri Researcher  
Albert J. Fornace JrFornace Jr, Albert J.Researcher  

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