• Automated gDNA Isolation from Large-Volume Blood Samples

Laboratory Products

Automated gDNA Isolation from Large-Volume Blood Samples

Mar 26 2010

Hamilton Robotics and Promega Corporation announced that the two companies will collaborate in the development of an automated system for the isolation of genomic DNA from large-volume blood samples. Based on Hamilton’s MICROLAB® STAR liquid handling technology and Promega systems and reagents, the new offering will increase throughput for large-volume applications such as biobanking, pharmacogenomics and genetic research.

“Promega is a recognised leader in innovative systems and chemistries for molecular biology applications and we have automated a number of their top-selling products,” commented Rick Luedke, Product Manager for Hamilton Robotics. “We’re pleased to work with them on a solution that addresses key bottlenecks in large-volume genomic DNA extraction.”

“Hamilton’s air displacement pipetting technology offers a number of unique advantages over other robotics systems,” explained Jeff Briganti, Strategic Marketing Manager for Promega. “We have already successfully collaborated with them to create and optimise automated protocols for several applications. This collaboration takes the relationship one step further toward the co-development of an entire system.”

Although life science research has seen a recent overall trend toward miniaturisation, several genetic analysis applications require the ability to isolate DNA from large sample volumes. Automated large-volume liquid handling poses specific challenges that Hamilton has been able to address, most recently with the introduction of its 5ml independent pipetting channels and 5ml disposable tips for the MICROLAB STAR platform. Promega’s new method employs next-generation technology and novel chemistry, allowing for a more robust automated process with increased recovery, higher concentration and enhanced purity of gDNA isolated from large-volume blood samples compared to previous automated techniques.


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