Decoding aptamer-protein binding kinetics for continuous biosensing using single-molecule techniques

Journal Article (2025)
Author(s)

Mike Filius (Kavli institute of nanoscience Delft, TU Delft - BN/Chirlmin Joo Lab)

Lena Fasching (TU Delft - ChemE/Product and Process Engineering)

Raman van Wee (Kavli institute of nanoscience Delft, TU Delft - BN/Chirlmin Joo Lab)

Alina Y. Rwei (TU Delft - ChemE/Product and Process Engineering)

Chirlmin Joo (Kavli institute of nanoscience Delft, TU Delft - BN/Chirlmin Joo Lab, Ewha Womans University)

DOI related publication
https://doi.org/10.1126/sciadv.ads9687 Final published version
More Info
expand_more
Publication Year
2025
Language
English
Journal title
Science Advances
Issue number
7
Volume number
11
Article number
eads9687
Downloads counter
154
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Continuous biosensing provides real-time information about biochemical processes and holds great potential for health monitoring. Aptamers have emerged as promising alternatives over traditional biorecognition elements. However, the underlying aptamer-target binding interactions are often poorly understood. Here, we present a technique that can decode aptamer-protein binding interactions at the single-molecule level. We demonstrate that our single-molecule assay is able to decode the underlying binding kinetics of aptamers despite their similar binding affinity. Guided by computational simulations and validated with quartz crystal microbalance experiments, we show that the quantitative insights generated by this single-molecule technique enabled the rational understanding of biosensor performance (i.e., the sensitivity and limit of detection). This capability was demonstrated with thrombin as the analyte and the structurally similar aptamers HD1, RE31, and NU172 as the biorecognition elements. This work decodes aptamer-protein interactions with high temporal resolution, paving the way for the rational design of aptamer-based biosensors.