Chemical Cross-linking and Mass Spectrometry to Map Three-dimensional Protein Structures and Protein-protein Interactions
Overview
Authors
Affiliations
Closely related to studying the function of a protein is the analysis of its three-dimensional structure and the identification of interaction sites with its binding partners. An alternative approach to the high-resolution methods for three-dimensional protein structure analysis, such as X-ray crystallography and NMR spectroscopy, consists of covalently connecting two functional groups of the protein(s) under investigation. The location of the created cross-links imposes a distance constraint on the location of the respective side chains and allows one to draw conclusions on the three-dimensional structure of the protein or a protein complex. Recently, chemical cross-linking of proteins has been combined with a mass spectrometric analysis of the created cross-linked products. This review article describes the most popular cross-linking reagents for protein structure analysis and gives an overview of the different available strategies that employ chemical cross-linking and different mass spectrometric techniques. The challenges for mass spectrometry caused by the enormous complexity of the cross-linking reaction mixtures are emphasized. The various approaches described in the literature to facilitate the mass spectrometric detection of cross-linked products as well as computer software for data analyses are reviewed.
Click Chemistry Methodology: The Novel Paintbrush of Drug Design.
Oprea I, Smith T ACS Chem Biol. 2024; 20(1):19-32.
PMID: 39730316 PMC: 11744672. DOI: 10.1021/acschembio.4c00608.
Cross-Linking Mass Spectrometry to Capture Protein Network Dynamics of Cell Membranome.
Santorelli L, Costanzo M, Petrosino S, Santoro M, Caterino M, Ruoppolo M Methods Mol Biol. 2024; 2884:241-258.
PMID: 39716008 DOI: 10.1007/978-1-0716-4298-6_16.
Chao M, Chang Y, Cooke M, Hu C Trends Analyt Chem. 2024; 180.
PMID: 39246549 PMC: 11375889. DOI: 10.1016/j.trac.2024.117900.
Lacey S, Graziadei A, Pigino G Cell. 2024; 187(17):4621-4636.e18.
PMID: 39067443 PMC: 11349379. DOI: 10.1016/j.cell.2024.06.041.
An algorithm for decoy-free false discovery rate estimation in XL-MS/MS proteomics.
Peng Y, Jain S, Radivojac P Bioinformatics. 2024; 40(Suppl 1):i428-i436.
PMID: 38940171 PMC: 11256928. DOI: 10.1093/bioinformatics/btae233.