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Magnetically Detected Protein Binding Using Spin-Labeled Slow Off-Rate Modified Aptamers.
Shutian Lu1, Catherine R Fowler2, Brian Ream2
1Department of Chemistry, University of Washington, Seattle, Washington 98195, United States.
ACS Sensors
|June 10, 2023
Summary
This study introduces a novel aptamer-based biosensor for protein detection. Immobilized modified aptamers (SOMAmers) with spin labels detect protein binding through changes in mobility, measurable by electron paramagnetic resonance (EPR) spectroscopy.
Area of Science:
- Biochemistry
- Analytical Chemistry
- Materials Science
Background:
- Aptamer chemistry advancements enable new protein biosensing tools.
- Slow off-rate modified aptamers (SOMAmers) offer high specificity for protein targets.
- Site-specific labeling is crucial for precise molecular probes.
Purpose of the Study:
- To develop and validate a novel protein biosensing platform using site-specifically labeled SOMAmers.
- To investigate the detection of protein binding events via changes in spin label mobility.
- To explore the integration of this system with diamond nitrogen-vacancy (NV) center relaxometry for enhanced detection.
Main Methods:
- Immobilization of site-specifically nitroxide radical-labeled SOMAmers using azide-alkyne click chemistry.
- Detection of protein binding by monitoring changes in spin label rotational mobility using electron paramagnetic resonance (EPR) spectroscopy.
- Modeling the combined system with diamond nitrogen-vacancy (NV) center relaxometry.
Main Results:
- Demonstrated workflow using SOMAmer SL5 and platelet-derived growth factor B (PDGF-BB).
- Identified optimal labeling sites on SOMAmers exhibiting significant mobility changes upon protein binding.
- Showcased the potential for NV center relaxometry to detect SOMAmer-protein interactions.
Conclusions:
- The developed spin label-mediated assay provides a general method for detecting protein binding events.
- This approach transduces molecular recognition into magnetically detectable signals.
- The system holds promise for sensitive and specific protein biosensing applications.

