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Updated: Apr 6, 2026

Monitoring Protein Aggregation Kinetics In Vivo using Automated Inclusion Counting in Caenorhabditis elegans
Published on: December 17, 2021
Denatured state aggregation parameters derived from concentration dependence of protein stability
Arne Schön1, Benjamin R Clarkson1, Rogelio Siles1
1Department of Biology, Johns Hopkins University, Baltimore, MD 21218, USA.
This study introduces a novel method to simultaneously quantify protein denaturation and aggregation. Early detection of these issues aids in selecting optimal conditions for protein stability and engineering more robust proteins.
Area of Science:
- Biochemistry
- Protein Science
- Biophysical Chemistry
Background:
- Protein aggregation significantly impacts the long-term stability of protein formulations.
- Denatured or partially denatured proteins are prone to aggregation due to exposed hydrophobic cores.
- Protein aggregation shifts equilibrium, increasing denatured and aggregated protein populations.
Purpose of the Study:
- To present a new approach for simultaneously determining protein structural stability and the extent of denaturation and aggregation.
- To enable early recognition and quantification of denatured and aggregated proteins.
- To facilitate the selection of optimal solvent conditions and protein engineering for enhanced stability.
Main Methods:
- Analysis of the concentration dependence of the Gibbs energy (ΔG) of protein stability.
- Simultaneous evaluation of three key parameters related to protein conformation and aggregation.
Main Results:
- The method allows for the simultaneous determination of:
- The population of denatured protein.
- The population of aggregated protein.
- The fraction of denatured protein that has aggregated.
Conclusions:
- The developed approach provides a comprehensive assessment of protein stability and aggregation.
- This method is beneficial for identifying optimal conditions and engineering proteins with improved stability profiles.
- Early quantification of denaturation and aggregation is crucial for protein formulation and development.
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