Allele-specific PCR with a novel data processing method based on difference value for single nucleotide polymorphism genotyping of ALDH2 gene

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]
卷期号:220: 121432-121432 被引量:13
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
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
YuZhang8034完成签到,获得积分10
刚刚
woy031222完成签到 ,获得积分10
1秒前
ZOE应助2549360318采纳,获得30
1秒前
chen完成签到,获得积分10
1秒前
enen发布了新的文献求助10
1秒前
1秒前
2秒前
paixxxxx完成签到,获得积分10
2秒前
CodeCraft应助zzzwww采纳,获得10
2秒前
2秒前
3秒前
3秒前
3秒前
哈哈哈哈哈哈完成签到 ,获得积分10
3秒前
王楠楠完成签到 ,获得积分10
4秒前
4秒前
5秒前
6秒前
6秒前
6秒前
酷酷三问发布了新的文献求助10
6秒前
7秒前
7秒前
落后的老太完成签到,获得积分10
7秒前
chen发布了新的文献求助10
7秒前
张欣宇发布了新的文献求助10
8秒前
Abdurrahman完成签到,获得积分10
8秒前
蓝天发布了新的文献求助10
8秒前
硬币完成签到,获得积分10
8秒前
8秒前
9秒前
9秒前
科研求求你嘛完成签到,获得积分10
9秒前
愉快的苑博完成签到,获得积分10
10秒前
次一口多多完成签到,获得积分10
10秒前
10秒前
xx发布了新的文献求助10
10秒前
量子星尘发布了新的文献求助10
10秒前
liu发布了新的文献求助10
11秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Basic And Clinical Science Course 2025-2026 3000
Encyclopedia of Agriculture and Food Systems Third Edition 2000
人脑智能与人工智能 1000
花の香りの秘密―遺伝子情報から機能性まで 800
Principles of Plasma Discharges and Materials Processing, 3rd Edition 400
Pharmacology for Chemists: Drug Discovery in Context 400
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5608315
求助须知:如何正确求助?哪些是违规求助? 4692918
关于积分的说明 14876115
捐赠科研通 4717325
什么是DOI,文献DOI怎么找? 2544189
邀请新用户注册赠送积分活动 1509187
关于科研通互助平台的介绍 1472836