Developing new isotope-coded mass spectrometry-cleavable cross-linkers for elucidating protein structures.
Clinton Yu1, Wynne Kandur, Athit Kao
1Department of Physiology and Biophysics, University of California , Medical Science I, D233, Irvine, California 92697, United States.
Analytical Chemistry
|January 30, 2014
Summary
New isotope-coded cross-linkers advance cross-linking mass spectrometry (XL-MS) for protein complex structural studies. These reagents enable confident identification and quantitative analysis of protein interactions, enhancing structural biology research.
Area of Science:
- Structural Biology
- Biochemistry
- Analytical Chemistry
Background:
- Understanding protein complex structure is crucial for function and regulation.
- Existing tools for structural characterization have limitations.
- Cross-linking mass spectrometry (XL-MS) is a powerful technique for studying protein interactions and complex topology.
Purpose of the Study:
- To develop novel isotope-coded, MS-cleavable homobifunctional cross-linkers.
- To enhance the capabilities of XL-MS for structural analysis of protein complexes.
- To establish a new XL-MS workflow for studying protein complex dynamics.
Main Methods:
- Development and synthesis of d0- and d10-labeled dimethyl disuccinimidyl sulfoxide (DMDSSO) cross-linkers.
- Characterization of DMDSSO cross-linked peptides using mass spectrometry (MS2 and MS3 analysis).
- Concurrent usage of isotope-coded cross-linkers for quantitative analysis.
Main Results:
- Sulfoxide-containing MS-cleavable cross-linkers provide robust and predictable MS2 fragmentation.
- MS3 analysis simplifies and enables unambiguous identification of cross-linked peptides.
- Concurrent use of d0/d10-DMDSSO yields a characteristic doublet pattern, increasing identification confidence.
- The isotopic profile allows for quantitative analysis of cross-linked peptides.
Conclusions:
- The developed DMDSSO cross-linkers represent a significant advancement for XL-MS.
- This new XL-MS workflow facilitates robust identification and quantification of protein interactions.
- The methodology enables the study of both static and dynamic aspects of protein complex structures.


