From classical to new generation approaches: An excursus of -omics methods for investigation of protein-protein interaction networks

被引:30
|
作者
Iacobucci, Ilaria [1 ,2 ]
Monaco, Vittoria [2 ]
Cozzolino, Flora [1 ,2 ]
Monti, Maria [1 ,2 ]
机构
[1] Univ Federico II Naples, Dept Chem Sci, Str Comunale Cinthia 26, I-80126 Naples, Italy
[2] CEINGE Adv Biotechnol, Via G Salvatore 486, I-80145 Naples, Italy
关键词
Protein-protein interactions (PPIs); AP-MS; XL-MS; proximity-dependent labeling (PDL) techniques; complexome profiling; protein networks; CHEMICAL CROSS-LINKING; MASS-SPECTROMETRY; MOLECULAR-INTERACTIONS; AFFINITY PURIFICATION; QUANTITATIVE PROTEOMICS; LINKED PRODUCTS; BIOTIN LIGASE; LARGE-SCALE; IDENTIFICATION; CELL;
D O I
10.1016/j.jprot.2020.103990
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Functional Proteomics aims to the identification of in vivo protein-protein interaction (PPI) in order to piece together protein complexes, and therefore, cell pathways involved in biological processes of interest. Over the years, proteomic approaches used for protein-protein interaction investigation have relied on classical biochemical protocols adapted to a global overview of protein-protein interactions, within so-called "interactomics" investigation. In particular, their coupling with advanced mass spectrometry instruments and innovative analytical methods led to make great strides in the PPIs investigation in proteomics. In this review, an overview of protein complexes purification strategies, from affinity purification approaches, including proximity-dependent labeling techniques and cross-linking strategy for the identification of transient interactions, to Blue Native Gel Electrophoresis (BN-PAGE) and Size Exclusion Chromatography (SEC) employed in the "complexome profiling", has been reported, giving a look to their developments, strengths and weakness and providing to readers several recent applications of each strategy. Moreover, a section dedicated to bioinformatic databases and platforms employed for protein networks analyses was also included.
引用
收藏
页数:14
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