Temperature-boosted PAM-less activation of CRISPR-Cas12a combined with selective inhibitors enhances detection of SNVs with VAFs below 0.01%.

The precise identification of rare single nucleotide variations (SNVs) concomitant with excess wild-type DNA is a valuable method for minimally invasive disease diagnosis and early prediction of drug responsiveness. Selective enrichment of mutant variants via strand displacement reaction offers an ideal approach of SNVs analysis but fails to differentiate wildtype from mutants with variant allele fraction (VAF) < 0.01%. Here, we demonstrate that integration of PAM-less CRISPR-Cas12a and adjacent mutation-enhanced inhibition of wild-type alleles enables highly sensitive measurement of SNVs well below the 0.01% VAF threshold. Raising the reaction temperature to the upper limit of LbaCas12a helps to boost PAM-less activation of collateral DNase activity, which can be further enhanced using PCR additives, leading to ideal discriminative performance for single point mutations. Along with selective inhibitors bearing additional adjacent mutation, it allowed detection of model EGFR L858R mutants down to 0.001% with high sensitivity and specificity. Preliminary investigation on adulterated genomic samples prepared in two different ways also suggests that it can accurately measure ultralow-abundance SNVs extracted directly from clinical samples. We believe that our design, which combines the superior SNV enrichment capability of strand displacement reaction and unparalleled programmability of CRISPR-Cas12a, has the potential to significantly advance current SNV profiling technologies. [Display omitted] • Temperature enhanced PAM-less activation of CRISPR-Cas12a shows higher specificity toward single point mutation. • PAM-less Cas12a and allele-specific enrichment enable ultrasensitive post-PCR measurement of model SNVs below 0.001% VAFs. • Analysis of genomic samples and series-diluted clinical samples demonstrate the feasibility to detect SNVs of VAFs < 0.01%. [ABSTRACT FROM AUTHOR]