Update on Proteomic approaches to uncovering virus-induced protein alterations and virus –host protein interactions during the progression of viral infection. (2nd August 2020)

• Record Type: Journal Article
• Authors: Coombs, Kevin M.
• Is Part Of: Expert review of proteomics. Volume 17:Number 7/8(2020)
• Page Start: 513
• Page End: 532
• Publication Date: 2020-08-02
• Subjects: Mass spectrometry -- quantitative proteomics -- isotopic labeling -- protein and peptide separations -- 2d-DIGE -- icat -- icpl -- tmt -- iTRAQ -- silac -- peptide mass fingerprinting -- abpp -- somascans -- olink -- interactome; Proteins -- Biotechnology -- Periodicals; Proteomics -- Periodicals; 572.6
• DOI: 10.1080/14789450.2020.1821656
• Languages: English
• ISSNs: 1478-9450

Abstract

ABSTRACT: Introduction: Viruses induce profound changes in the cells they infect. Understanding these perturbations will assist in designing better therapeutics to combat viral infection. System-based proteomic assays now provide unprecedented opportunity to monitor large numbers of cellular proteins. Areas covered: This review will describe various quantitative and functional mass spectrometry-based methods, and complementary non-mass spectrometry-based methods, such as aptamer profiling and proximity extension assays, and examples of how each are used to delineate how viruses affect host cells, identify which viral proteins interact with which cellular proteins, and how these change during the course of a viral infection. PubMed was searched multiple times prior to manuscript submissions and revisions, using virus, viral, proteomics; in combination with each keyword. The most recent examples of published works from each search were then analyzed. Expert opinion: There has been exponential growth in numbers and types of proteomic analyses in recent years. Continued development of reagents that allow increased multiplexing and deeper proteomic probing of the cell, at quantitative and functional levels, enhancements that target more important protein modifications, and improved bioinformatics software tools and pathway prediction algorithms will accelerate this growth and usher in a new era of host proteome understanding.