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WaferGen to Present at the Cambridge Health Institute's Fifth Annual Molecular Diagnostics Partnerships in Personalized Medicine Conference
Date:3/19/2008

ne (comprised of gene expression and genotyping analysis) had approximately $2.4 billion in worldwide revenues in 2006 ($1.74 billion for gene expression and $650 million for genotyping). Total global revenue for this market is estimated to reach approximately $5.0 billion by 2012.

WaferGen believes the SmartChip Real-Time PCR System will be the first whole genome, high throughput gene expression platform to combine the high-throughput capability and cost efficiencies of existing microarrays, with the sensitivity and accuracy of real-time PCR. Specifically, the SmartChip Real-Time PCR System's high density, rapid cycling configuration is expected to provide industry-leading throughput levels, while offering discovery and validation capabilities in a single step. The result will be the ability to conduct gene expression research at a fraction of the time and cost currently produced by existing instrument systems. For example, the company anticipates that whole genome assay time may be significantly reduced with the SmartChip Real-Time PCR System as compared to several days or months with microarrays or real-time PCR, respectively. This decrease in research time has broad economic implications across the drug development industry, particularly for pharmaceutical companies seeking avenues for reducing time to market for its therapeutics. Further, the company believes such throughput will dramatically impact the cost of such assays.

Beyond the significant time and cost advantages, the simplicity of the SmartChip Real-Time PCR System is unparalleled. The system will provide a number of key ease-of-use features including content-ready chips that can facilitate experiments without the need for advanced preparation of reagents. The user-friendly SmartChip Real-Time PCR System will accept samples out of the box, incorporating nearly all necessary substrates and chemicals. At the same time, the system will only require a very small sample size as compared to oth
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SOURCE WaferGen Biosystems, Inc.
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