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Published on: March 16, 2017
Fluorescent protein reporter systems for single-cell measurements
Steven K Dower1, Eva E Qwarnstrom, Endre Kiss-Toth
1Section of Functional Genomics, School of Medicine and Biomedical Sciences, University of Sheffield, UK.
Methods in Molecular Biology (Clifton, N.J.)
|February 22, 2008
Summary
Sophisticated mathematical models and rich datasets are crucial for understanding cellular function. Fluorescent protein methods enable non-destructive, single-cell tracking to analyze cellular variability and dynamics.
Area of Science:
- Cellular dynamics and systems biology
- Biophysics and quantitative biology
- Molecular and cellular signaling
Background:
- Cellular function relies on complex dynamic networks, necessitating advanced mathematical models and extensive datasets for their elucidation.
- Significant variability exists in cellular functions and signaling component concentrations, even within clonal populations, raising questions about inherent noise versus discrete cellular states.
- Distinguishing between random noise and distinct functional states in cellular networks is a key challenge in systems biology.
Purpose of the Study:
- To explore the utility of fluorescent protein-based methods for investigating cellular variability and network dynamics.
- To address the challenge of differentiating between inherent cellular noise and discrete functional states within cellular control networks.
- To leverage advanced imaging techniques for non-destructive, longitudinal analysis of individual cells.
Main Methods:
- Utilizing fluorescent protein-based biosensors to report on intracellular signaling components.
- Employing confocal fluorescence microscopy for high-resolution imaging of individual cells.
- Developing and applying mathematical models to interpret dynamic cellular data and test hypotheses about network behavior.
Main Results:
- Demonstrated the capability of fluorescent protein methods to acquire data from individual cells, capturing functional heterogeneity.
- Showcased the non-destructive nature of confocal fluorescence microscopy, allowing for time-lapse tracking of single cells in various contexts.
- Provided a framework for analyzing single-cell data to probe the nature of cellular variability and potential discrete states.
Conclusions:
- Fluorescent protein-based approaches are powerful tools for dissecting complex cellular dynamics and variability at the single-cell level.
- Non-destructive live-cell imaging combined with mathematical modeling offers new avenues for understanding cellular decision-making and robustness.
- This methodology facilitates the investigation of fundamental questions regarding cellular noise versus functional states in biological systems.
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