UNM Rainforest Innovations

UNM inventor Dr. Jeremy Edwards and his team at Centrillion Technologies have been working on a chip that provides a faster and more accurate method of genome sequencing for respiratory viruses like COVID-19. Typical clinical testing can only confirm the presence or absence of the virus and can produce false positives or negatives. This traditional method of testing is both time-consuming and expensive. Centrillion’s full viral genome sequencing technology is beneficial because it will allow scientists to more accurately track the progression of a virus and also better prevent the onset of another pandemic. Their research was published in the American Chemical Society’s Langmuir titled, “Highly Accurate Chip-Based Resequencing of SARS-CoV-2 Clinical Samples.”

Learn more about Centrillion Technologies at https://www.centrilliontech.com/

See also Irene Gray’s April 21 article, “Researchers develop chip that improves testing and tracing for COVID-19,” on the UNM Newsroom Website at https://news.unm.edu/news/researchers-develop-chip-that-improves-testing-and-tracing-for-covid-19 and reposted below.

Researchers develop chip that improves testing and tracing for COVID-19

Jeremy Edwards, director of the Computational Genomics and Technology (CGaT) Laboratory at The University of New Mexico, and his colleagues at Centrillion Technologies in Palo Alto, Calif. and West Virginia University, have developed a chip that provides a simpler and more rapid method of genome sequencing for viruses like COVID-19.

Their research, titled, “Highly Accurate Chip-Based Resequencing of SARS-CoV-2 Clinical Samples” was published recently in the American Chemical Society’s Langmuir. As part of the research, scientists created a tiled genome array they developed for rapid and inexpensive full viral genome resequencing and applied their SARS-CoV-2-specific genome tiling array to rapidly and accurately resequenced the viral genome from eight clinical samples acquired from patients in Wyoming that tested positive for SARS-CoV-2. Ultimately, they were able to sequence 95 percent of the genome of each sample with greater than 99.9 percent accuracy.

“This new technology allows for faster and more accurate tracing of COVID and other respiratory viruses, including the appearance of new variants,” said Edwards, who is a professor in the UNM Department of Chemistry and Chemical Biology. “With this simple and rapid testing procedure, scientists will be able to more accurately track the progression and better prevent the onset of the next pandemic.”

With more than 142 million people worldwide having contracted the virus, vigilant testing and contact tracing are the most effective ways to slow the spread of COVID-19. Traditional methods of clinical testing often produce false positives or negatives, and traditional methods of sequencing are time-consuming and expensive. This new technology will virtually eliminate all of these barriers.

“Since the submission of the paper, the technology has further evolved with improved accuracy and sensitivity,” said Edwards. “The chip technology is the best available technology for large-scale viral genome surveillance and monitoring viral variants. This technology could not only help control this pandemic and also prevent future pandemics.”

The mission of the Computational Genomics and Technology (CGaT) Laboratory is to provide training in bioinformatics research for undergraduate, master’s and Ph.D. students, as well as postdoctoral fellows; provide collaborative research interactions to utilize bioinformatics computing tools for researchers at UNM, and to conduct state-of-the-art and innovative bioinformatics and genomics research within the center.

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