Authors
Kendall Hoff, Centrillion Technologies, Palo Alto, California 94303, United States
Xun Ding, Centrillion Technologies, Palo Alto, California 94303, United States
Lucas Carter, Centrillion Technologies, Palo Alto, California 94303, United States
John Duque, Centrillion Technologies, Palo Alto, California 94303, United States
Ju-Yu Lin, Centrillion Technologies, Palo Alto, California 94303, United States
Samantha Dung, Centrillion Technologies, Palo Alto, California 94303, United States
Priyanka Singh, Centrillion Technologies, Palo Alto, California 94303, United States
Jiayi Sun, Centrillion Technologies, Palo Alto, California 94303, United States
Filip Crnogorac, Centrillion Technologies, Palo Alto, California 94303, United States
Radha Swaminathan, Department of Chemistry and Chemical Biology, University of New Mexico, Albuquerque, New Mexico 87131, United States
Emily N. Alden, Department of Chemistry and Chemical Biology, University of New Mexico, Albuquerque, New Mexico 87131, United States
Xuechen Zhu, Department of Chemistry and Chemical Biology, University of New Mexico, Albuquerque, New Mexico 87131, United States
Ryota Shimada, Department of Chemistry and Chemical Biology, University of New Mexico, Albuquerque, New Mexico 87131, United States
Marijan Posavi, Department of Chemistry and Chemical Biology, University of New Mexico, Albuquerque, New Mexico 87131, United States
Noah Hull, Wyoming Public Health Laboratory, Wyoming Department of Health, Cheyenne, Wyoming 82007, United States
Darrell L. Dinwiddie, Department of Pediatrics, University of New Mexico Health Sciences Center, Albuquerque, New Mexico 87131, United States
Adam M. Halasz, Department of Mathematics, West Virginia University, Morgantown, West Virginia 26506, United States
Glenn McGall, Centrillion Technologies, Palo Alto, California 94303, United States
Wei Zhou, Centrillion Technologies, Palo Alto, California 94303, United States
Jeremy S. Edwards, Department of Chemistry and Chemical Biology, University of New Mexico, Albuquerque, New Mexico 87131, United States
Publication Date
4-27-2021
Abstract
SARS-CoV-2 has infected over 128 million people worldwide, and until a vaccine is developed and widely disseminated, vigilant testing and contact tracing are the most effective ways to slow the spread of COVID-19. Typical clinical testing only confirms the presence or absence of the virus, but rather, a simple and rapid testing procedure that sequences the entire genome would be impactful and allow for tracing the spread of the virus and variants, as well as the appearance of new variants. However, traditional short read sequencing methods are time consuming and expensive. Herein, we describe a tiled genome array that we developed for rapid and inexpensive full viral genome resequencing, and we have applied our SARS-CoV-2-specific genome tiling array to rapidly and accurately resequence the viral genome from eight clinical samples. We have resequenced eight samples acquired from patients in Wyoming that tested positive for SARS-CoV-2. We were ultimately able to sequence over 95% of the genome of each sample with greater than 99.9% average accuracy.
Publication Title
Langmuir : the ACS journal of surfaces and colloids
DOI
10.1021/acs.langmuir.0c02927
Recommended Citation
Hoff K, Ding X, Carter L, Duque J, Lin JY, Dung S, Singh P, Sun J, Crnogorac F, Swaminathan R, Alden EN, Zhu X, Shimada R, Posavi M, Hull N, Dinwiddie D, Halasz AM, McGall G, Zhou W, Edwards JS. Highly Accurate Chip-Based Resequencing of SARS-CoV-2 Clinical Samples. Langmuir. 2021 Apr 27;37(16):4763-4771. doi: 10.1021/acs.langmuir.0c02927. Epub 2021 Apr 13. PMID: 33848173; PMCID: PMC8056606.
