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Quantifying single-cell diacylglycerol signaling kinetics after uncaging
David T Gonzales1, Milena Schuhmacher2, H Mathilda Lennartz3
1Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany; Center for Systems Biology Dresden, Dresden, Germany.
Biophysical Journal
|November 18, 2023
Summary
Researchers developed a new method to quantify lipid dynamics in cell signaling. This approach reveals how lipid structure influences protein interactions and movement, advancing our understanding of cellular communication.
Area of Science:
- Cell Biology
- Biochemistry
- Biophysics
Background:
- Quantitative lipid biochemistry in living cells is challenging.
- Existing methods for studying lipid signaling lack precision.
- Lipid uncaging has been used to study diacylglycerol (DAG) signaling.
Purpose of the Study:
- Develop a versatile methodological approach for quantitative kinetic data retrieval from uncaging experiments.
- Create a framework applicable to various photoactivation experiments.
- Enable quantification of lipid-protein affinities and kinetic parameters from single-cell data.
Main Methods:
- Developed a novel analysis framework for lipid uncaging experiments.
- Utilized live-cell dose-response curves and light dose titrations.
- Determined uncaging photoreaction efficiency and analyzed single-cell signaling trajectories.
Main Results:
- Successfully quantified diacylglycerol-protein affinities and trans-bilayer movement rates.
- Identified initial uncaged diacylglycerol levels from noisy single-cell data.
- Demonstrated that lipid unsaturation and side-chain length affect lipid dynamics and protein affinities.
Conclusions:
- The new framework allows quantification of rate parameters and lipid-protein affinities from single-cell data.
- The method is sensitive enough to resolve kinetic differences due to lipid chemical diversity.
- This work provides a powerful tool for studying lipid signaling pathways.
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