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HTG Molecular Diagnostics Technology Platform Featured at ADAPT Conference

September 06, 2011

TUCSON, Ariz.—HTG Molecular Diagnostics today announced its technology platform will be featured during a customer presentation, “qNPA Measurement of Fusion Genes,” at the third annual ADAPT 2011 Congress in Philadelphia, September 7-9 as part of the Translational Biomarkers track.

Charles Van Sant, PhD, assistant director-bioanalysis for Astellas Global Development, Inc., will lead the session and provide an overview of HTG’s qNPA system and how the platform permits the rapid and accurate measurement of gene expression levels, specifically variant detection of gene fusions in this presentation. The qNPA platform is especially effective in a variety of difficult-to-analyze sample types including formalin- fixed, paraffin-embedded (FFPE) tissue, making it ideal for translational and clinical applications.

“HTG is deeply committed to providing pharmaceutical and academic researchers with technology solutions such as this variant fusion detection, helping to identify and advance the most promising drug compounds through the research process and on to the clinic,” said BJ Kerns, senior vice president, Companion Diagnostics and Global Marketing, HTG. “We are honored to have Charles, an industry veteran, discussing the unique benefits of HTG’s qNPA technology during ADAPT.”

The “qNPA Measurement of Fusion Genes” session will take place on Thursday, September 8, at 3:10 p.m., in the Commonwealth Hall. To learn more about this session and the ADAPT 2011 Congress visit www.adaptcongress.com.

HTG’s qNPA technology is used to carry out quantitative, multiplexed gene-based drug discovery programs, including target validation; HTS lead optimization, metabolism, toxicology and clinical development. HTG’s platform is highly flexible and designed for high throughput automation; it allows scientists to test any sample, including fixed tissues, without RNA extraction or target amplification. The technology is ideal for detecting small yet important changes in gene expression levels which other gene expression platforms cannot reliably detect.