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Updated: Jul 11, 2026

Quaternary Structure Modeling Through Chemical Cross-Linking Mass Spectrometry: Extending TX-MS Jupyter Reports
Published on: October 20, 2021
Shotgun cross-linking analysis for studying quaternary and tertiary protein structures
Young Jin Lee1, Laura L Lackner, Jodi M Nunnari
1Proteomics Core Facility, Genome Center, and Molecular and Cellular Biology, University of California, Davis 95616, USA. yojlee@ucdavis.edu
We developed a novel algorithm, X!Link, for rapid and sensitive analysis of protein cross-links using mass spectrometry. This method identifies protein interactions without isotopic labeling, simplifying complex structural studies.
Area of Science:
- Biochemistry
- Proteomics
- Computational Biology
Background:
- Understanding protein tertiary and quaternary structures is crucial for deciphering biological functions.
- Identifying protein-protein interactions aids in mapping cellular pathways and disease mechanisms.
- Existing methods for analyzing cross-linked proteins can be time-consuming and complex.
Purpose of the Study:
- To develop a novel, sensitive, and high-throughput computational approach for analyzing chemically cross-linked proteins.
- To identify tertiary and quaternary interaction sites in protein complexes using mass spectrometry data.
- To create a faster and simpler method for protein cross-linking analysis compared to current techniques.
Main Methods:
- Direct analysis of digests from chemically cross-linked proteins using high-accuracy LC-MS/MS data.
- Application of a novel computer algorithm, X!Link, to identify cross-links between peptides.
- Utilizing BS3 (bis(sulfosuccinimidyl) suberate) as a chemical cross-linking reagent.
Main Results:
- Identified 31 cross-links (21 interpeptide, 10 intrapeptide) in cytochrome c, detecting all 19 lysine residues.
- Identified 46 cross-links (38 interpeptide, 8 intrapeptide) in the Dnm1G385D homodimer.
- Achieved a low false discovery rate (1%) and demonstrated high sensitivity, detecting 33% of Lys pairs within 20 Å.
Conclusions:
- The developed X!Link algorithm provides a sensitive and rapid MS-based approach for identifying peptide-peptide cross-links.
- This method eliminates the need for isotopic labeling or non-cross-linked controls, offering a simpler workflow.
- Manual inspection is recommended for accurate site assignment, especially with complex protein samples.
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