Nanotoxicology as a Predictive Science That Can Be Explored by High Content Screening and the Use of Computer-assisted Hazard Ranking

Nel, Andre. (2010) Nanotoxicology as a Predictive Science That Can Be Explored by High Content Screening and the Use of Computer-assisted Hazard Ranking. In: Nanoinformatics 2010, November 3 - 5, 2010, Arlington, VA. (Unpublished)

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Abstract

I will discuss the use of high throughput screening for in vitro toxicological assessment and hazard ranking that can be used for planning and following in vivo outcomes. I will demonstrate the use of engineered nanomaterial libraries and the use of an oxidative stress paradigm to establish a multi-parametric, rapid throughput screening procedure that can be used to screen for potentially hazardous material properties resulting in oxygen radical generation and cytotoxicity. I will describe the use of heat maps and self organizing maps in data processing and for making comparisons of mechanistic in vitro responses to in vivo response outcomes in zebra fish and mice. I will also demonstrate how this integrated predictive toxicological paradigm can be used to speed up knowledge generation about nanomaterial hazard, including the redesign of potentially hazardous material properties to render the materials safe.

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