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Analysis of Protein Folding, Transport, and Degradation in Living Cells by Radioactive Pulse Chase
Published on: February 12, 2019
Analysis of protein turnover by quantitative SNAP-based pulse-chase imaging
Dani L Bodor1, Mariluz Gómez Rodríguez, Nuno Moreno
1Instituto Gulbenkian de Ciência, Oeiras, Portugal.
This study details using the SNAP-tag (self labeling suicide enzyme) for measuring protein dynamics in living cells. Protocols for fluorescent pulse-chase and quench-chase-pulse experiments are provided to quantify protein turnover rates.
Area of Science:
- Cellular biology
- Biochemistry
- Molecular imaging
Background:
- Understanding protein dynamics is essential for cell biology.
- The SNAP-tag enzyme offers unique capabilities for live-cell protein analysis.
- Existing methods for protein turnover assessment can be limited.
Purpose of the Study:
- To provide detailed protocols for utilizing the SNAP-tag system in live-cell protein dynamics studies.
- To establish fluorescent pulse-chase and quench-chase-pulse experiments for quantifying protein fate and turnover.
- To evaluate the SNAPf variant and present an automated analysis algorithm.
Main Methods:
- Development and application of SNAP-tag based fluorescent pulse-chase and quench-chase-pulse assays.
- Live-cell imaging and time-slicing experiments to monitor protein dynamics.
- Evaluation of the SNAPf variant for enhanced labeling kinetics.
- Implementation of an automated algorithm for protein spot recognition and quantification.
Main Results:
- Detailed protocols for SNAP-tag based protein dynamics studies are presented.
- Fluorescent pulse-chase and quench-chase-pulse methods effectively quantify protein turnover rates.
- The SNAPf variant shows promise for fast-acting labeling in live cells.
- An automated algorithm facilitates the analysis of protein turnover data.
Conclusions:
- The SNAP-tag system, particularly with the SNAPf variant, provides a robust platform for assessing protein dynamics and turnover in living cells.
- The developed time-slicing methods and automated analysis offer powerful tools for quantitative biological research.
- These protocols advance the ability to study protein fate and function in real-time cellular environments.
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