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LabAutomation 2006 - SLAS

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MP13<br />

Bruce Seligmann<br />

High Throughput Genomics, Inc.<br />

Tucson Arizona<br />

bseligmann@htgenomics.com<br />

Where Laboratory Technologies Emerge and Merge<br />

Co-Author(s)<br />

Ihab Botros, Matt Rounseville, Ralph Martel<br />

High Throughput Genomics, Inc.<br />

Stephen Felder, Rick Kris<br />

Nuvogen, LLC<br />

High Throughput Cell and Tissue-Based Gene Expression Assay for Target Validation,<br />

Screening and EC50-Based Profiling and Optimization of Efficacy, Specificity,<br />

Metabolism and Safety<br />

Gene expression assays have provided low quality data and low sample throughput compared to conventional biochemical (e.g. enzyme)<br />

drug discovery assays. Furthermore, whole cell screening assays typically have problematically high false positive hit rates and when<br />

whole cell assays are used for lead optimization there is uncertainty whether the mechanism of action giving rise to the measured cellular<br />

response remains the same between analogs. Consequently, gene expression-based drug discovery programs are uncommon. The<br />

ArrayPlate quantitative Nuclease Protection Assay (qNPATM) gene expression platform enables a paradigm shift in mainstream drug<br />

discovery and profiling. Multiplexed, measuring 16 genes/well of a 96-well microplate or 4 genes/well of a 384-well microplate, qNPA<br />

delivers high content (1536 datapoints) capable of distinguishing and tracking multiple mechanisms of action. A simple, robust lysis-only<br />

protocol permits high sample throughput (cells, frozen/fresh/fixed tissue, whole organisms) and produces “biochemical” quality data: whole<br />

cell assay CV’s of 5 to 10%, repeatable day-to-day within 5%, repeatable lab-to-lab. Thus, weak activity (

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