基因分型
生物
SNP基因分型
遗传学
分子生物学
单核苷酸多态性
基因型
寡核苷酸
基因
分子反转探针
等位基因
化学
聚合酶链反应
计算生物学
SNP公司
作者
Qidi He,Meng Chen,Xiangan Lin,Zuanguang Chen
出处
期刊:Talanta
[Elsevier]
日期:2020-12-01
卷期号:220: 121432-121432
被引量:12
标识
DOI:10.1016/j.talanta.2020.121432
摘要
Single nucleotide polymorphism (SNP) analysis based on allele-specific polymerase chain reaction (AS-PCR) is a relatively effective and economical method compared with other genotyping technologies such as DNA sequencing, DNA hybridization and isothermal amplification strategies. But AS-PCR is limited by its labor-intensive optimization of reaction parameters and time-consuming result assessment. In this study, we put forward a novel idea of data processing to address this problem. SNP analysis was accomplished by AS-PCR with endpoint electrochemical detection. For each sample, two separate reactions were run simultaneously with two sets of allele-specific primers (wild-type primers for W system and mutant primers for M system). We measured their redox current signals on screen-printed electrodes once AS-PCR finished and calculated the difference value of current signals between two systems to determine the genotyping result. Based on the difference value of fluorescent signals, real-time fluorescent PCR was used to study reaction parameters in AS-PCR. With screened parameters, we obtained the genotyping results within 50 min. 36 hair-root samples from volunteers were analyzed by our method and their genotypes of ALDH2 gene (encoding aldehyde dehydrogenase 2) were totally identical with data from commercialized sequencing. Our work first employed difference value between two reaction systems to differentiate allele and provided a novel idea of data processing in AS-PCR method. It is able to promote the quick analysis of SNP in the fields of health monitor, disease precaution, and personalized diagnosis and treatment.
科研通智能强力驱动
Strongly Powered by AbleSci AI