Agilent Technologies has announced its researchers are developing new tools for rapidly characterizing biological pathogens that could give rise to potentially deadly pandemics such as Influenza A (H1N1). This is part of a joint effort by national laboratory-, university- and private-sector institutions.
The first tool, an automated genotyping system, is a joint effort between Los Alamos National Laboratory (LANL), the Univ. of California at Los Angeles School of Public Health and Agilent. This system will be utilized in the Global Bio Lab at UCLA and will use high-throughput technology for automated global-public-health surveillance.
The automated genotyping system, built to specification by Agilent, was delivered to LANL in late-May for verification of design and capability testing. The $1.7 million BioCel Automation System was designed in collaboration by Los Alamos and UCLA researchers, and professionals at Agilent's Automation Solutions division, previously known as Velocity11.
The system will be able to automatically determine the genetic sequence of viruses such as influenza hundreds of times faster than any other method available today.
By using this system and future high-throughput tools in pandemic response mode, public-health officials will be able to rapidly and reliably determine the strain of a virus, allowing more time for mitigation or containment strategies to be employed if necessary. Moreover, these BioCel systems will be useful in research mode for monitoring animal populations for the emergence of new and potentially deadly pathogens before the pathogens are able to infect humans.
The UCLA Global Bio Lab will become part of the High Throughput Laboratory Network (HTLN). When built out, the network will provide an international and interconnected capacity that enables uniformity in testing methods -- reducing the potential for errors or confusion arising from variable testing methodologies currently used.
"As the recent outbreak of the swine flu shows, we need to do a much more extensive and thorough job of surveillance," said Tony Beugelsdijk, leader of the HTLN project at LANL. "This program will provide the world with the tools for this task."
Current genetic identification methods require lots of time and manpower. The new genotyping system features two robots and the ability to fully sequence 10,000 or more influenza viruses per year. This makes it much faster and more reliable than current methods, and reduces the amount of manpower necessary to process a large number of samples.
"This system is the next-generation tool to rapidly and accurately test and identify biological pathogens in mass quantities of samples," said Nick Roelofs, VP of Agilent Life Sciences. "Capable of performing tests 100 times faster than any current method, it will provide reliable, real-time data to the global health community. Given current health concerns about the swine flu, the system addressees an immediate and vital need in the public health arena."
Source: Agilent