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REVEALR-Based Genotyping of SARS-CoV-2 Variants of Concern in Clinical Samples
Author(s) -
Kefan Yang,
Daniel N. Schuder,
Arlene K. Ngor,
John C. Chaput
Publication year - 2022
Publication title -
journal of the american chemical society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 7.115
H-Index - 612
eISSN - 1520-5126
pISSN - 0002-7863
DOI - 10.1021/jacs.2c03420
Subject(s) - genotyping , virology , sanger sequencing , computational biology , covid-19 , nucleic acid , chemistry , genotype , genetics , dna , dna sequencing , biology , infectious disease (medical specialty) , gene , medicine , disease , pathology
The SARS-CoV-2 virus has evolved into new strains that increase viral transmissibility and reduce vaccine protection. The rapid circulation of these more harmful strains across the globe has created a pressing need for alternative public health screening tools. REVEALR (RNA-encoded viral nucleic acid analytic reporter), a rapid and highly sensitive DNAzyme-based detection system, functions with perfect accuracy against patient-derived clinical samples. Here, we design REVEALR into a novel genotyping assay that detects single-base mismatches corresponding to each of the major SARS-CoV-2 strains found in the United States. Of 34 sequence-verified patient samples collected in early, mid, and late 2021 at the UCI Medical Center in Orange, California, REVEALR identified the correct variant [Wuhan-Hu-1, alpha (B.1.1.7), gamma (P.1), epsilon (B.1.427/9), delta (B.1.617.2), and omicron (B.1.1.529)] with 100% accuracy. The assay, which is programmable and amenable to multiplexing, offers an important new approach to personalized diagnostics.

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