Examining the Relationship between Aptamer Complexity and Molecular Discrimination of a Low-Epitope Target

指数富集配体系统进化 适体 计算生物学 SELEX适体技术 药物发现 小分子 化学 生物 核糖核酸 遗传学 分子生物学 生物信息学 基因
作者
Linlin Wang,Juan Canoura,Caleb Byrd,Thinh Nguyen,Obtin Alkhamis,Phuong T. Ly,Yi Xiao
出处
期刊:ACS central science [American Chemical Society]
卷期号:10 (12): 2213-2228 被引量:14
标识
DOI:10.1021/acscentsci.4c01377
摘要

Aptamers are oligonucleotide-based affinity reagents that are increasingly being used in various applications. Systematic evolution of ligands by exponential enrichment (SELEX) has been widely used to isolate aptamers for small-molecule targets, but it remains challenging to generate aptamers with high affinity and specificity for targets with few functional groups. To address this challenge, we have systematically evaluated strategies for optimizing the isolation of aptamers for (+)-methamphetamine, a target for which previously reported aptamers have weak or no binding affinity. We perform four trials of library-immobilized SELEX against (+)-methamphetamine and demonstrate that N30 libraries do not yield high-quality aptamers. However, by using a more complex N40 library design, stringent counter-SELEX, and fine-tuned selection conditions, we identify aptamers with high affinity for (+)-methamphetamine and better selectivity relative to existing antibodies. Bioinformatic analysis from our selections reveals that high-quality aptamers contain long conserved motifs and are more informationally dense. Finally, we demonstrate that our best aptamer can rapidly detect (+)-methamphetamine at toxicologically relevant concentrations in saliva in a colorimetric dye-displacement assay. The insights provided here demonstrate the challenges in generating high-quality aptamers for low complexity small-molecule targets and will help guide the design of more efficient future selection efforts.
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
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
大薯条发布了新的文献求助10
刚刚
潇湘妃子59完成签到,获得积分10
刚刚
橙子子完成签到,获得积分10
刚刚
luckyyhy发布了新的文献求助10
刚刚
1秒前
1秒前
1秒前
2秒前
iNk应助justin采纳,获得10
2秒前
深情安青应助搞怪蓝采纳,获得10
3秒前
陈陈完成签到,获得积分10
3秒前
丘比特应助肘子采纳,获得10
3秒前
江上清风游完成签到,获得积分10
3秒前
辛夷完成签到,获得积分10
4秒前
mm关闭了mm文献求助
4秒前
4秒前
奋斗的钥匙给奋斗的钥匙的求助进行了留言
4秒前
5秒前
香蕉觅云应助Garrett采纳,获得20
5秒前
kangnakangna发布了新的文献求助10
5秒前
朴BOSS完成签到,获得积分10
5秒前
6秒前
123发布了新的文献求助10
6秒前
6秒前
疯狂的访波完成签到,获得积分10
7秒前
JPH1990完成签到,获得积分10
7秒前
hi_traffic发布了新的文献求助10
8秒前
所所应助cao采纳,获得10
9秒前
9秒前
Resign发布了新的文献求助10
9秒前
万能图书馆应助ning采纳,获得10
9秒前
snnnn完成签到,获得积分10
9秒前
yixuan发布了新的文献求助10
10秒前
LIJIngcan发布了新的文献求助10
10秒前
10秒前
Enzoy完成签到,获得积分10
10秒前
10秒前
七院应助Garrett采纳,获得40
10秒前
Liz1054发布了新的文献求助10
11秒前
12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
Introduction to Helicopter and Tiltrotor Flight Simulation, Second Edition 2500
卤化钙钛矿人工突触的研究 2000
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 600
Bounds for Statistical Estimation in Semiparametric Models 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6499967
求助须知:如何正确求助?哪些是违规求助? 8295350
关于积分的说明 17702644
捐赠科研通 5596542
什么是DOI,文献DOI怎么找? 2918192
邀请新用户注册赠送积分活动 1895260
关于科研通互助平台的介绍 1756131