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Updated: Jan 31, 2026

High Sensitivity Measurement of Transcription Factor-DNA Binding Affinities by Competitive Titration Using Fluorescence Microscopy
Published on: February 7, 2019
Ultra-Sensitive and Label-Free Probing of Binding Affinity Using Recognition Imaging.
Yoo Jin Oh1, Melanie Koehler1, Yoonhee Lee2
1Institute of Biophysics , Johannes Kepler University Linz , Gruberstrasse 40 , A-4020 Linz , Austria.
This study introduces a new atomic force microscopy (AFM) method for ultrasensitive biomolecular binding quantification. The technique visualizes single molecular interactions, enabling precise affinity measurements for biotechnology applications.
Area of Science:
- Biotechnology
- Nanotechnology
- Biophysics
Background:
- Quantifying binding affinity is crucial in biotechnology and pharmacology.
- Existing methods lack ultrasensitivity, nanoscale resolution, and require large sample volumes.
- There is a need for advanced techniques to analyze molecular interactions at the single-molecule level.
Purpose of the Study:
- To develop a novel platform for precise quantification of binding affinity using atomic force microscopy (AFM).
- To visualize and analyze single molecular bindings on nanosize dendrons.
- To achieve ultrasensitive, nanoscale resolution for biomolecular interaction analysis.
Main Methods:
- Utilized AFM-derived recognition imaging to detect and localize single DNA molecules.
- Employed sinusoidal oscillation of the AFM cantilever near resonance for enhanced speed and resolution.
- Developed a label-free, single-molecular biochemical analysis approach.
Main Results:
- Successfully visualized single DNA hybridization events at nanometer resolution.
- Determined the equilibrium dissociation constant for capturing DNA duplexes as 2.4 × 10-10 M.
- Demonstrated the quantification of biomolecular interactions involving a few hundred molecules.
Conclusions:
- AFM-based recognition imaging offers a powerful tool for ultrasensitive binding affinity quantification.
- The developed platform addresses limitations of traditional methods for analyzing molecular interactions.
- This label-free approach advances single-molecule biochemical analysis in biotechnology and pharmacology.
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