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Updated: Jul 15, 2025
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Published on: October 9, 2014
Fluorescent biosensor imaging meets deterministic mathematical modelling: quantitative investigation of signalling
Clara Posner1,2, Sohum Mehta1, Jin Zhang1,2,3
1Department of Pharmacology, University of California, San Diego, CA, USA.
Live-cell biosensors and computational models reveal a novel oscillatory circuit involving protein kinase A (PKA), cyclic AMP (cAMP), and calcium (Ca2+) in pancreatic beta cells.
Area of Science:
- Cellular and Molecular Biology
- Biophysics
- Systems Biology
Background:
- Cells respond to environmental cues via compartmentalized biochemical signaling.
- Fluorescent biosensors allow real-time monitoring of cellular signaling events.
- Computational models aid in interpreting complex signaling networks.
Approach:
- Combines live-cell fluorescent biosensor imaging with temporal and spatiotemporal deterministic modeling.
- Investigates a protein kinase A (PKA)-cAMP-Ca2+ oscillatory circuit in MIN6 pancreatic beta cells.
- Analyzes regulation of this circuit within a plasma membrane nano-compartment mediated by A-kinase anchoring protein 79/150.
Key Points:
- Identified and characterized a novel PKA-cAMP-Ca2+ oscillatory circuit in pancreatic beta cells.
- Elucidated the role of a specific membrane nano-compartment in regulating this circuit.
- Validated key regulatory factors through experimental confirmation.
Conclusions:
- The integrated approach of biosensor imaging and quantitative modeling is powerful for studying spatiotemporal signaling.
- This methodology facilitates hypothesis testing and discovery in complex cellular systems.
- Widespread application is expected for investigating spatiotemporal regulation of cell signaling.
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