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

IF 12.7 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY ACS Central Science Pub Date : 2024-11-11 eCollection Date: 2024-12-25 DOI:10.1021/acscentsci.4c01377
Linlin Wang, Juan Canoura, Caleb Byrd, Thinh Nguyen, Obtin Alkhamis, Phuong Ly, Yi Xiao
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Abstract

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.

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研究低表位靶标的适配体复杂性与分子识别之间的关系
适配体是基于寡核苷酸的亲和试剂,越来越多地被用于各种应用。基于指数富集的配体系统进化(SELEX)技术已被广泛应用于小分子靶标适配体的分离,但要获得对功能基团较少的靶标具有高亲和力和特异性的适配体仍然具有挑战性。为了应对这一挑战,我们系统地评估了优化(+)-甲基苯丙胺适配体分离的策略,之前报道的适配体对甲基苯丙胺的结合亲和力较弱或没有结合亲和力。我们进行了四次库固定化SELEX对抗(+)-甲基苯丙胺的试验,并证明N30库不能产生高质量的适配体。然而,通过使用更复杂的N40文库设计,严格的反selex和微调的选择条件,我们确定了对(+)-甲基苯丙胺具有高亲和力的适配体,相对于现有抗体具有更好的选择性。生物信息学分析表明,高质量的适体含有较长的保守基序,信息密度更高。最后,我们证明了我们最好的适体可以在比色染料置换法中快速检测唾液中毒理学相关浓度的(+)-甲基苯丙胺。这里提供的见解表明了为低复杂性小分子靶标生成高质量适配体的挑战,并将有助于指导设计更有效的未来选择工作。
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来源期刊
ACS Central Science
ACS Central Science Chemical Engineering-General Chemical Engineering
CiteScore
25.50
自引率
0.50%
发文量
194
审稿时长
10 weeks
期刊介绍: ACS Central Science publishes significant primary reports on research in chemistry and allied fields where chemical approaches are pivotal. As the first fully open-access journal by the American Chemical Society, it covers compelling and important contributions to the broad chemistry and scientific community. "Central science," a term popularized nearly 40 years ago, emphasizes chemistry's central role in connecting physical and life sciences, and fundamental sciences with applied disciplines like medicine and engineering. The journal focuses on exceptional quality articles, addressing advances in fundamental chemistry and interdisciplinary research.
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