Xceed Molecular Features Ziplex^® Automated Gene-Expression System at the Biomarker World Congress, Booth 16

Xceed Molecular, a pioneer in the development of cost-effective, easy-to-use gene-expression analysis systems, announced that the company will feature its Ziplex Automated Gene-Expression System at Biomarker World Congress, booth 16. Currently available for research use only in the US and Canada, the Ziplex System is the first integrated system for automated gene-expression analysis. It comprises an automated hybridization workstation, TipChip consumable arrays, reagents, and analysis/reporting software. Biomarker World Congress takes place May 19-21, 2008, at the Loews Philadelphia Hotel in Pennsylvania.

“Translational research (the movement of existing gene-expression biomarkers from basic science into routine clinical use for patient diagnostics) – and the ultimate goal of personalized medicine – has been hampered because the available technology to process microarrays is complex, expensive, and time-consuming,” said Xceed’s President and CEO, David Deems. “Results from traditional technology are also prone to unacceptable levels of variability to meet the rigorous performance and quality-control needs of the clinical-diagnostic laboratory. Xceed designed the Ziplex System with turnkey functionality and significant advances in automation, array format, fluidics, parallel sample processing, and analytics to minimize complexity, user interaction, and variability between users and sites. Our goal: to make routine molecular diagnostics easy, reproducible, and affordable to serve the needs of both clinical research and clinicaldiagnostic settings – which demand that results remain consistent even when samples are run by different people, at different times, or in different sites.”

Luncheon Workshop
Xceed is hosting a luncheon workshop from 12 to 1:30 pm, on Wednesday, May 21, 2008, in the Howe Room of the Loews Philadelphia Hotel.

Ziplex System for Focused Content, Multiplexed Gene-Expression Analysis – Introduction and Study Results
David Englert, Ph.D., VP, Technology Development, Xceed Molecular, Toronto.

Identification of a Diagnostic Classifier of Cornelia de Lange Syndrome, an Often Misdiagnosed and Little-Known Genetic Syndrome, Through a Stepwise and Multi-Platform Procedure
Zhe Zhang, Ph.D., Bioinformatics Core, Center for Biomedical Informatics, Children's Hospital of Philadelphia

Dr. Zhe Zhang is also presenting a poster on the subject, which will be available for viewing throughout the conference (Poster #11).