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Isotopically coded cleavable cross-linker for studying protein-protein interaction and protein complexes.
Evgeniy V Petrotchenko1, Vyacheslav K Olkhovik, Christoph H Borchers
1Department of Biochemistry and Biophysics, University of North Carolina, Chapel Hill, North Carolina 27599, USA.
Molecular & Cellular Proteomics : MCP
|May 20, 2005
Summary
This study introduces a new cleavable, isotopically coded cross-linker (D12-EGS) and software to improve the detection and identification of protein-protein interactions using mass spectrometry.
Area of Science:
- Biochemistry
- Analytical Chemistry
- Proteomics
Background:
- Studying protein-protein interactions is crucial for understanding cellular functions.
- Chemical cross-linking coupled with mass spectrometry (MS) is a key method for analyzing protein complexes.
- Existing methods face challenges in detecting cross-links and distinguishing between different types of cross-linked peptides.
Purpose of the Study:
- To develop a novel, isotopically coded, and cleavable cross-linker for enhanced protein complex analysis.
- To improve the accuracy and ease of identifying protein-protein interactions and cross-linking events.
- To create a software algorithm for automated detection and classification of cross-links.
Main Methods:
- Synthesis of an isotopically coded ethylene glycol bis(succinimidylsuccinate) derivative (D12-EGS).
- Application of D12-EGS in a 1:1 mixture with its non-isotopic counterpart (H12).
- Hydrolytic cleavage of cross-linked peptides followed by MS sequencing and analysis using a custom software algorithm.
Main Results:
- The D12-EGS cross-linker facilitates easy detection of cross-links due to isotopic coding.
- Hydrolytic cleavage allows for rapid differentiation between dead-end, intrapeptide, and interpeptide cross-links based on distinct mass shifts.
- The developed software algorithm enables automatic screening and identification of cross-links and their types in mass spectra.
Conclusions:
- The combination of the cleavable, isotopically coded cross-linker and the software algorithm provides a powerful and robust tool for studying multi-component protein complexes.
- This approach overcomes limitations in detecting and identifying cross-links in complex biological samples.
- The method enhances the efficiency and accuracy of protein-protein interaction studies in proteomics.