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A Method for Selecting Structure-switching Aptamers Applied to a Colorimetric Gold Nanoparticle Assay
Published on: February 28, 2015
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Rational Approach to Optimizing Conformation-Switching Aptamers for Biosensing Applications.
Monica Wolfe1,2, Alyssa Cramer1,2, Sean Webb1,2
1711th Human Performance Wing, Air Force Research Laboratory, WPAFB, Ohio 45433, United States.
ACS Sensors
|January 25, 2024
Summary
Developing structure-switching aptamers (SSAs) for biosensors is challenging. This study presents a rational optimization method to enhance aptamer binding and conformational switching, simplifying SSA development for real-world applications like cortisol monitoring.
Area of Science:
- Biotechnology
- Molecular Biology
- Biosensor Development
Background:
- Structure-switching aptamers (SSAs) are crucial for sensitive molecular detection but their de novo development is complex.
- Optimizing SSAs requires balancing binding affinity with target-dependent conformational changes for biosensor integration.
Purpose of the Study:
- To develop a rational optimization strategy for SSAs that improves binding affinity and conformational switching.
- To ensure aptamer optimization is compatible with real-world biosensor applications and relevant biofluids.
- To demonstrate proof-of-concept using a cortisol-binding aptamer for stress monitoring.
Main Methods:
- Utilized NMR and computational modeling to identify key structural features for optimizing conformational switching.
- Employed large-scale, microarray-based mutation analysis to map mutation-permissive regions and enhance binding affinity.
- Performed optimizations in relevant biofluids to facilitate direct biosensor integration.
Main Results:
- Successfully optimized SSA structure-switching and binding affinity through a rational design approach.
- Identified specific mutations that enhance aptamer performance in relevant biological conditions.
- Demonstrated the approach's efficacy with a cortisol-binding aptamer, showing potential for real-time stress monitoring.
Conclusions:
- The described rational approach significantly simplifies and improves SSA development for biosensing.
- Optimized SSAs, exemplified by the cortisol aptamer, can enable continuous monitoring of biomarkers for health assessment.
- This methodology is translatable to other aptamers, broadening its impact on biosensor technology.

