化学
数字聚合酶链反应
突变体
分子生物学
核苷酸
突变
色谱法
聚合酶链反应
基因
生物化学
生物
作者
Ling Hu,Yuan-Ye Ji,Peng Zhu,Renquan Lu
标识
DOI:10.1016/j.aca.2024.342929
摘要
The early detection of gene mutations in physiological and pathological processes is a powerful approach to guide decisions in precision medicine. However, detecting low-copy mutant DNA from clinical samples poses a challenge due to the enrichment of wild-type DNA backgrounds. In this study, we devised a novel strategy, named Mutation-Selected Amplification droplet digital PCR (MSA-ddPCR), to quantitatively analyze single nucleotide variants (SNVs) at low variant allele frequencies (VAFs). Using TP53
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