Aptamer-antibody chimera sensors for sensitive, rapid and reversible molecular detection in complex samples

Author:

Kong DehuiORCID,Maganzini Nicolo,Thompson Ian A.P.ORCID,Eisenstein Michael,Soh H. Tom

Abstract

AbstractThe development of receptors suitable for the continuous detection of analytes in complex, interferent-rich samples remains challenging. Antibodies are highly sensitive but difficult to engineer in order to introduce signaling functionality, while aptamer switches are easy to construct but often yield only modest target sensitivity. We present here the programmable antibody and DNA aptamer switch (PANDAS), which combines the best features of both systems by using a nucleic acid tether to link an analyte-specific antibody to an internal strand-displacement (ISD)-based aptamer switch that recognizes the same target. The monoclonal antibody mediates initial analyte binding due to its higher affinity; the resulting increase in local analyte concentration then leads to cooperative binding and signaling by the ISD switch. We developed a PANDAS sensor for the clotting protein thrombin and show that this design achieves 100-fold enhanced sensitivity compared to using an aptamer alone. This design also exhibits reversible binding, enabling repeated measurements with temporal resolution of ∼10 minutes, and retains excellent sensitivity even in interferent-rich samples. With future development, this PANDAS approach could enable the adaptation of existing protein-binding aptamers with modest affinity into sensors that deliver excellent sensitivity and minute-scale resolution in minimally prepared biological specimens.

Publisher

Cold Spring Harbor Laboratory

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3