Cross-linking mass spectrometry for mapping protein complex topologies in situ
Kitaik Lee1, Francis J O'Reilly1
1Center for Structural Biology, Center for Cancer Research, National Cancer Institute (NCI), Frederick, MD 21702-1201, U.S.A.
Essays in Biochemistry
|February 3, 2023
Summary
Cross-linking mass spectrometry (CX-MS) now offers insights into protein complex structures. Recent advancements enable its application to complex biological systems, paving the way for comprehensive structural interactome mapping.
Area of Science:
- Biochemistry
- Structural Biology
- Proteomics
Background:
- Cross-linking mass spectrometry (CX-MS) is a powerful technique for determining protein complex topology and dynamics.
- Current CX-MS workflows excel with purified complexes but face challenges in complex biological environments like cells and tissues.
- Studying protein structures in situ remains a significant technological hurdle in structural biology.
Purpose of the Study:
- To review recent advancements in cross-linking mass spectrometry for in situ structural analysis.
- To outline strategies for generating comprehensive and comparative structural interactomes using CX-MS.
- To highlight the potential of CX-MS in exploring complex biological systems.
Main Methods:
- Improvements in sample handling for complex biological matrices.
- Advances in mass spectrometry data acquisition techniques.
- Development of sophisticated data processing algorithms for CX-MS data.
Main Results:
- CX-MS technology has significantly improved for analyzing complex biological systems.
- Enhanced workflows facilitate detailed structural information from organelles, cells, and tissues.
- Progress in data analysis enables more comprehensive interactome mapping.
Conclusions:
- Cross-linking mass spectrometry is evolving to address the complexities of in situ structural biology.
- Technological progress is overcoming challenges in studying protein complexes within their native environments.
- CX-MS is poised to enable comprehensive and comparative analyses of cellular interactomes.
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