Two-Dimensional Fractionation Method for Proteome-Wide Cross-Linking Mass Spectrometry Analysis
Fenglong Jiao1, Clinton Yu1, Andrew Wheat1
1Department of Physiology & Biophysics, University of California, Irvine, Irvine, California 92694, United States.
This study introduces a new 2D separation technique combining size exclusion chromatography and high pH reverse-phase fractionation. This method enhances the identification of cross-linked peptides for improved protein-protein interaction mapping in complex samples.
Area of Science:
- Proteomics
- Biochemistry
- Molecular Biology
Background:
- Cross-linking mass spectrometry (XL-MS) is crucial for studying protein-protein interactions (PPIs) and protein complex structures.
- Current XL-MS methods face limitations in scope and depth due to proteome complexity and dynamic range, hindering low-abundance cross-linked peptide identification.
- Existing chromatographic enrichment methods like SEC and SCX are effective but require further improvement for deeper PPI mapping.
Purpose of the Study:
- To develop and validate a novel two-dimensional (2D) separation strategy for enhanced proteome-wide cross-linking mass spectrometry (XL-MS) analysis.
- To improve the identification of cross-linked peptides in complex biological samples.
- To expand the coverage and depth of protein-protein interaction network mapping.
Main Methods:
- Integration of peptide size exclusion chromatography (SEC) with tip-based high pH reverse-phase (HpHt) fractionation.
- Utilized the MS-cleavable cross-linker DSSO (Disuccinimidyl sulfoxide).
- Applied the 2D separation strategy to HEK293 cell lysates for *in vitro* PPI mapping.
Main Results:
- The developed 2D separation strategy significantly improved the identification of cross-linked peptides compared to existing methods.
- Successfully mapped *in vitro* protein-protein interactions from HEK293 cell lysates.
- Demonstrated enhanced coverage and depth in XL-MS analysis.
Conclusions:
- The integrated 2D SEC and HpHt fractionation method is effective for expanding proteome-wide XL-MS coverage.
- This approach offers improved identification of cross-linked peptides, advancing PPI studies.
- The method is generalizable for cross-linking studies in complex biological samples.
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