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Sedimentation of Reversibly Interacting Macromolecules with Changes in Fluorescence Quantum Yield
Sumit K Chaturvedi1, Huaying Zhao1, Peter Schuck1
1Dynamics of Macromolecular Assembly Section, Laboratory of Cellular Imaging and Macromolecular Biophysics, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, Maryland.
Sedimentation velocity analytical ultracentrifugation (SV-AUC) reveals limitations in studying macromolecular interactions when fluorescence signals change upon complex formation. A new binding model accounts for coupled transport, improving accuracy for systems with altered fluorescence quantum yields.
Area of Science:
- Biophysical chemistry
- Macromolecular interactions
- Analytical ultracentrifugation
Background:
- Sedimentation velocity analytical ultracentrifugation (SV-AUC) with fluorescence detection is a sensitive method for studying macromolecular complexes.
- Current data interpretation relies on weight-average sedimentation coefficients (sw), assuming constant signal across all species.
- This assumption fails when complex formation alters fluorescence properties, such as quantum yield.
Purpose of the Study:
- To challenge the prevailing dogma in SV-AUC data interpretation regarding signal-averaged sedimentation coefficients.
- To develop a more general binding model that accounts for coupled transport in systems with signal changes.
- To improve the accuracy of determining binding affinity and stoichiometry in complex macromolecular systems.
Main Methods:
- Utilized sedimentation velocity analytical ultracentrifugation with fluorescence detection.
- Applied effective particle theory to model reaction-coupled migration.
- Developed a generalized binding model incorporating hydrodynamic cotransport and signal changes.
Main Results:
- Demonstrated that the standard sw model is insufficient when fluorescence signals change during complex formation.
- Showed that coupled transport significantly impacts observed migration in rapidly reversible systems.
- The new model accurately describes systems with altered fluorescence quantum yields, including quenching, enhancement, or FRET.
Conclusions:
- The developed binding model provides a more accurate framework for SV-AUC analysis of interacting systems with fluorescence signal variations.
- This advancement is crucial for studying macromolecular complexes where fluorescence properties change upon binding.
- The findings enhance the utility of SV-AUC for characterizing complex stoichiometry, affinity, and shape.
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