共 50 条
Mass Spectrometry Structural Proteomics Enabled by Limited Proteolysis and Cross-Linking
被引:2
|作者:
Lu, Haiyan
[1
]
Zhu, Zexin
[1
]
Fields, Lauren
[2
]
Zhang, Hua
[1
]
Li, Lingjun
[1
,2
,3
]
机构:
[1] Univ Wisconsin Madison, Sch Pharm, Madison, WI 53706 USA
[2] Univ Wisconsin Madison, Dept Chem, Madison, WI 53706 USA
[3] Univ Wisconsin Madison, Lachman Inst Pharmaceut Dev, Sch Pharm, Madison, WI 53706 USA
基金:
美国国家卫生研究院;
关键词:
cross-linking;
interactome;
limited proteolysis;
mass spectrometry;
neurodegenerative diseases;
structural proteomics;
PROTEIN-PROTEIN INTERACTIONS;
LINKED PEPTIDES;
CONFORMATIONAL-CHANGES;
GENE ONTOLOGY;
SOFTWARE TOOL;
AUTOMATED ASSIGNMENT;
DISULFIDE BONDS;
WEB SERVER;
IDENTIFICATION;
MS;
D O I:
10.1002/mas.21908
中图分类号:
O433 [光谱学];
学科分类号:
0703 ;
070302 ;
摘要:
The exploration of protein structure and function stands at the forefront of life science and represents an ever-expanding focus in the development of proteomics. As mass spectrometry (MS) offers readout of protein conformational changes at both the protein and peptide levels, MS-based structural proteomics is making significant strides in the realms of structural and molecular biology, complementing traditional structural biology techniques. This review focuses on two powerful MS-based techniques for peptide-level readout, namely limited proteolysis-mass spectrometry (LiP-MS) and cross-linking mass spectrometry (XL-MS). First, we discuss the principles, features, and different workflows of these two methods. Subsequently, we delve into the bioinformatics strategies and software tools used for interpreting data associated with these protein conformation readouts and how the data can be integrated with other computational tools. Furthermore, we provide a comprehensive summary of the noteworthy applications of LiP-MS and XL-MS in diverse areas including neurodegenerative diseases, interactome studies, membrane proteins, and artificial intelligence-based structural analysis. Finally, we discuss the factors that modulate protein conformational changes. We also highlight the remaining challenges in understanding the intricacies of protein conformational changes by LiP-MS and XL-MS technologies.
引用
收藏
页数:28
相关论文