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Quantifying Protein-Protein Interactions by Molecular Counting with Mass Photometry
Fabian Soltermann1, Eric D B Foley1, Veronica Pagnoni1
1Physical and Theoretical Chemistry, Department of Chemistry, University of Oxford, South Parks Road, Oxford, OX1 3TA, UK.
Angewandte Chemie (International Ed. in English)
|March 14, 2020
Summary
Mass photometry accurately quantifies unlabeled biomolecules and complexes in mixtures. This label-free method rapidly determines binding affinities and kinetics, advancing biomolecular interaction analysis.
Area of Science:
- Biochemistry and biophysics
- Analytical chemistry
- Molecular biology
Background:
- Biomolecular interactions are crucial for life processes and disease.
- Label-free analytical methods are desired for simplicity and minimal invasiveness.
- Quantifying tight biomolecular interactions remains a challenge for current techniques.
Purpose of the Study:
- To demonstrate mass photometry as a method for label-free quantification of biomolecules and their complexes.
- To assess the capability of mass photometry in determining binding affinities and kinetics.
- To explore the potential of mass photometry for analyzing complex biomolecular interactions.
Main Methods:
- Utilizing mass photometry for single-molecule level detection and quantification.
- Analyzing unlabeled biomolecules and their complexes in mixtures.
- Measuring binding affinities at equilibrium and associated kinetics.
Main Results:
- Mass photometry accurately counts and distinguishes biomolecules by mass in mixtures.
- The technique quantifies relative abundances of different species at the single-molecule level.
- Binding affinities were determined over four orders of magnitude within minutes for various stoichiometries.
Conclusions:
- Mass photometry is a rapid, simple, and label-free method for studying biomolecular interactions.
- The technique enables the characterization of sub-micromolar binding affinities.
- Mass photometry shows potential as a universal approach for complex biomolecular interaction analysis.
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