Cross-linking mass spectrometry discovers, evaluates, and corroborates structures and protein-protein interactions in the human cell

被引:21
作者
Bartolec, Tara K. [1 ]
Vazquez-Campos, Xabier [1 ]
Norman, Alexander [2 ]
Luong, Clement [3 ]
Johnson, Marcus [3 ]
Payne, Richard J. [2 ,4 ]
Wilkins, Marc R. [1 ]
Mackay, Joel P. [3 ]
Low, Jason K. K. [3 ]
机构
[1] Univ New South Wales, Sch Biotechnol & Biomol Sci, Syst Biol Initiat, Randwick, NSW 2052, Australia
[2] Univ Sydney, Sch Chem, Sydney, NSW 2006, Australia
[3] Univ Sydney, Sch Life & Environm Sci, Sydney, NSW 2006, Australia
[4] Univ Sydney, Australian Res Council Ctr Excellence Innovat Pept, Sydney, NSW 2006, Australia
基金
英国医学研究理事会; 澳大利亚研究理事会;
关键词
cross-linking mass spectrometry; protein-protein interactions; protein structure; prediction; AlphaFold2; structural proteomics; ENDOPLASMIC-RETICULUM; DOMAIN; TRAFFICKING; DYNAMICS; AFFINITY; SUBUNIT;
D O I
10.1073/pnas.2219418120
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Significant recent advances in structural biology, particularly in the field of cryoelectron microscopy, have dramatically expanded our ability to create structural models of proteins and protein complexes. However, many proteins remain refractory to these approaches because of their low abundance, low stability, or-in the case of complexes-simply not having yet been analyzed. Here, we demonstrate the power of using cross-linking mass spectrometry (XL-MS) for the high-throughput experimental assessment of the structures of proteins and protein complexes. This included those produced by high-resolution but in vitro experimental data, as well as in silico predictions based on amino acid sequence alone. We present the largest XL-MS dataset to date, describing 28,910 unique residue pairs captured across 4,084 unique human proteins and 2,110 unique protein-protein interactions. We show that models of proteins and their complexes predicted by AlphaFold2, and inspired and corroborated by the XL-MS data, offer opportunities to deeply mine the structural proteome and interactome and reveal mechanisms underlying protein structure and function.
引用
收藏
页数:12
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