An advanced model for the detection of short DNA sequences by mass spectrometry based on exonuclease III assisted recycling amplification

核酸外切酶 III 质谱法 核酸外切酶 DNA 检出限 化学 DNA测序 计算生物学 生物系统 色谱法 生物 生物化学 DNA聚合酶 基因 大肠杆菌
作者
Caixia Shi,Qing Liu,Zeng‐Ping Chen,Ru‐Qin Yu
出处
期刊:Chemometrics and Intelligent Laboratory Systems [Elsevier]
卷期号:179: 39-45 被引量:1
标识
DOI:10.1016/j.chemolab.2018.06.004
摘要

Exonuclease III assisted target recycling amplification strategy can be used to enhance the sensitivity of mass spectrometry for the detection of short DNA sequences. However, the distribution pattern of DNA fragments produced by exonuclease III assisted target recycling amplification is generally different for samples with different concentrations of the target DNA sequence, which hinders the extraction of both qualitative and quantitative information of the target DNA from mass spectral measurements using traditional univariate or multivariate models. In this contribution, an advanced model was derived based on a reasonable assumption for the qualitative and quantitative analysis of the mass spectral measurements of DNA fragments produced by exonuclease III-assisted target recycling amplification. Experimental results demonstrated that the integration of exonuclease III assisted target recycling amplification, mass spectrometry and the advanced model could achieve sensitive and accurate quantitative results for a target short DNA sequence in complex biological medium with a detection limit of 50 pM and a mean recovery rate within the range of 89.5%–106.7%. More interestingly, the proposed model could unambiguously identify single nucleotide polymorphisms based on the distribution patterns of residual DNA fragments. Therefore, with the aid of the proposed model, mass spectrometry based on exonuclease III assisted recycling amplification has great potential for the reliable, sensitive, selective, and relatively low-cost detection and quantification of short DNA sequences in clinical diagnosis and biomedical research.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
1秒前
1秒前
heew完成签到,获得积分10
1秒前
Native007完成签到,获得积分10
1秒前
2秒前
吕布发布了新的文献求助10
2秒前
十三同学完成签到,获得积分10
2秒前
lijingwen发布了新的文献求助10
3秒前
3秒前
3秒前
snowskating完成签到,获得积分20
4秒前
4秒前
4秒前
开放初瑶发布了新的文献求助20
5秒前
浅眠发布了新的文献求助10
6秒前
sunjunshu发布了新的文献求助10
6秒前
情怀应助科研通管家采纳,获得10
6秒前
bkagyin应助科研通管家采纳,获得10
6秒前
科研通AI2S应助科研通管家采纳,获得30
6秒前
Ava应助科研通管家采纳,获得10
6秒前
科研通AI2S应助科研通管家采纳,获得10
6秒前
6秒前
科研通AI2S应助科研通管家采纳,获得10
6秒前
7秒前
7秒前
Carhao发布了新的文献求助30
7秒前
ZX发布了新的文献求助10
8秒前
8秒前
9秒前
Coisini发布了新的文献求助10
10秒前
11秒前
12秒前
Kamal发布了新的文献求助10
13秒前
晴天完成签到,获得积分20
13秒前
14秒前
蜡笔小韩完成签到,获得积分10
14秒前
浅眠完成签到,获得积分10
14秒前
语物发布了新的文献求助10
15秒前
Jenny发布了新的文献求助10
16秒前
高分求助中
Sustainability in Tides Chemistry 2000
Bayesian Models of Cognition:Reverse Engineering the Mind 800
Essentials of thematic analysis 700
A Dissection Guide & Atlas to the Rabbit 600
Very-high-order BVD Schemes Using β-variable THINC Method 568
Внешняя политика КНР: о сущности внешнеполитического курса современного китайского руководства 500
Revolution und Konterrevolution in China [by A. Losowsky] 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3123170
求助须知:如何正确求助?哪些是违规求助? 2773659
关于积分的说明 7718928
捐赠科研通 2429325
什么是DOI,文献DOI怎么找? 1290230
科研通“疑难数据库(出版商)”最低求助积分说明 621795
版权声明 600251