High-Content Analysis in Predictive Pharmacology and Toxicology
High-Content Analysis
Jinghai James Xu, Ph.D., Director of Automated Biotechnology, Merck & Co., Inc.
Abstract
High-content analysis (HCA) enables measurement of multiple cellular phenotypes that are physiologically relevant for therapeutic and toxic activities of compounds. As such it plays a key role in predictive pharmacology and toxicology. In pharmacology, HCA is transforming
the traditional linear "one target-one drug" approach to a more "open-target" approach to discover novel chemical biology. In toxicology, histopathology has traditionally been the gold standard. But histopathology is typically a late-stage activity, and performing it on human clinical samples is not always feasible. HCA provides a much more efficient technology to investigate "cellular histopathology" on hundreds of drug candidates.
This article was published in the October/November 2009 issue of International Drug Discovery, Volume 4, Issue 1, on pgs. 32-38.
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