已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Competitive non-SELEX for the selective and rapid enrichment of DNA aptamers and its use in electrochemical aptasensor

适体 指数富集配体系统进化 SELEX适体技术 DNA 计算生物学 选择(遗传算法) 生物 化学 组合化学 基因 分子生物学 遗传学 计算机科学 核糖核酸 人工智能
作者
Ankita Kushwaha,Yuzuru Takamura,Koichi Nishigaki,Manish Biyani
出处
期刊:Scientific Reports [Springer Nature]
卷期号:9 (1) 被引量:22
标识
DOI:10.1038/s41598-019-43187-6
摘要

Abstract The SELEX (Systematic Evolution of Ligands by EXponential enrichment) method has been used successfully since 1990, but work is still required to obtain highly specific aptamers. Here, we present a novel approach called ‘Competitive non-SELEX’ (and termed as ‘SELCOS’ (Systematic Evolution of Ligands by COmpetitive Selection)) for readily obtaining aptamers that can discriminate between highly similar targets. This approach is based on the theoretical background presented here, in which under the co-presence of two similar targets, a specific binding type can be enriched more than a nonspecifically binding one during repetitive steps of partitioning with no PCR amplification between them. This principle was experimentally confirmed by the selection experiment for influenza virus subtype-specific DNA aptamers. Namely, the selection products (pools of DNA aptamers) obtained by SELCOS were subjected to a DEPSOR-mode electrochemical sensor, enabling the method to select subtype-specific aptamer pools. From the clonal analysis of these pools, only a few rounds of in vitro selection were sufficient to achieve the surprisingly rapid enrichment of a small number of aptamers with high selectivity, which could be attributed to the SELCOS principle and the given selection pressure program. The subtype-specific aptamers obtained in this manner had a high affinity (e.g., K D = 82 pM for H1N1; 88 pM for H3N2) and negligible cross-reactivity. By making the H1N1-specific DNA aptamer a sensor unit of the DEPSOR electrochemical detector, an influenza virus subtype-specific and portable detector was readily constructed, indicating how close it is to the field application goal.
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
zoe发布了新的文献求助10
1秒前
小蘑菇应助合适的芸遥采纳,获得10
2秒前
李青松发布了新的文献求助10
2秒前
3秒前
Lucas应助cc采纳,获得10
3秒前
彭于晏应助小松鼠采纳,获得10
4秒前
二十二完成签到,获得积分10
7秒前
8秒前
奋斗若冰完成签到,获得积分10
8秒前
夏天发布了新的文献求助10
8秒前
10秒前
summer夏完成签到,获得积分10
12秒前
矮小的百褶裙完成签到 ,获得积分10
12秒前
14秒前
ddaa发布了新的文献求助10
14秒前
14秒前
Shrine发布了新的文献求助10
19秒前
22秒前
22秒前
科研通AI2S应助科研通管家采纳,获得10
24秒前
Ava应助科研通管家采纳,获得10
24秒前
ynscw应助科研通管家采纳,获得20
24秒前
Jasper应助科研通管家采纳,获得10
24秒前
西红柿炒鸡蛋完成签到,获得积分20
24秒前
科研通AI2S应助科研通管家采纳,获得10
24秒前
上官若男应助科研通管家采纳,获得10
24秒前
小马甲应助科研通管家采纳,获得10
24秒前
天天快乐应助nenoaowu采纳,获得10
24秒前
24秒前
汉堡包应助科研通管家采纳,获得10
24秒前
科研通AI2S应助科研通管家采纳,获得10
25秒前
FashionBoy应助科研通管家采纳,获得10
25秒前
斯文败类应助科研通管家采纳,获得10
25秒前
隐形曼青应助科研通管家采纳,获得10
25秒前
Singularity应助科研通管家采纳,获得20
25秒前
25秒前
PUTIDAXIAN完成签到,获得积分10
25秒前
26秒前
顺顺利利发布了新的文献求助10
27秒前
高分求助中
Sustainability in Tides Chemistry 2800
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
Rechtsphilosophie 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
Le dégorgement réflexe des Acridiens 800
Defense against predation 800
XAFS for Everyone (2nd Edition) 600
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 3133576
求助须知:如何正确求助?哪些是违规求助? 2784593
关于积分的说明 7767642
捐赠科研通 2439774
什么是DOI,文献DOI怎么找? 1297049
科研通“疑难数据库(出版商)”最低求助积分说明 624839
版权声明 600791