Abstract
The detection of low-frequency somatic mutations enables early diagnosis of disease; however, base-substitution errors that arise during genomic library preparation and high-throughput sequencing can lead to false diagnostic information. To discriminate true genomic alterations from technical errors, we developed spCas9-assisted true variant labeling sequencing (CARVE-seq), which detects low-frequency mutant alleles with high accuracy. CARVE-seq utilizes single-base discrimination during spCas9 cleavage reactions to exclude technical errors. Ten single nucleotide variants that recurrently occur in tumors were assayed by CARVE-seq using 20 ng reference samples, and 100% positive predictive value and specificity was observed, which proved the highly accurate performance of CARVE-seq.
| Original language | English |
|---|---|
| Pages (from-to) | 1451-1464 |
| Number of pages | 14 |
| Journal | ACS Synthetic Biology |
| Volume | 10 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 18 Jun 2021 |
Bibliographical note
Publisher Copyright:© 2021 American Chemical Society.
Keywords
- CRISPR/Cas9
- accurate mutant DNA detection
- disease diagnosis
- labeling true variants
- rare mutant allele
- single nucleotide variant (SNV)
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