Proximity labeling and other novel mass spectrometric approaches for spatiotemporal protein dynamics. (2nd September 2021)

• Record Type: Journal Article
• Authors: Pino, Lindsay; Schilling, Birgit
• Is Part Of: Expert review of proteomics. Volume 18:Number 9(2021)
• Page Start: 757
• Page End: 765
• Publication Date: 2021-09-02
• Subjects: Chemical crosslinking -- mass spectrometry -- protein networks -- protein interactome -- protein turnover -- proximity labeling; Proteins -- Biotechnology -- Periodicals; Proteomics -- Periodicals; 572.6
• DOI: 10.1080/14789450.2021.1976149
• Languages: English
• ISSNs: 1478-9450

Abstract

ABSTRACT: Background: Proteins are highly dynamic and their biological function is controlled by not only temporal abundance changes but also via regulated protein–protein interaction networks, which respond to internal and external perturbations. A wealth of novel analytical reagents and workflows allow studying spatiotemporal protein environments with great granularity while maintaining high throughput and ease of analysis. Areas covered: We review technology advances for measuring protein–protein proximity interactions with an emphasis on proximity labeling, and briefly summarize other spatiotemporal approaches including protein localization, and their dynamic changes over time, specifically in human cells and mammalian tissues. We focus especially on novel technologies and workflows emerging within the past 5 years. This includes enrichment-based techniques (proximity labeling and crosslinking), separation-based techniques (organelle fractionation and size exclusion chromatography), and finally sorting-based techniques (laser capture microdissection and mass spectrometry imaging). Expert opinion: Spatiotemporal proteomics is a key step in assessing biological complexity, understanding refined regulatory mechanisms, and forming protein complexes and networks. Studying protein dynamics across space and time holds promise for gaining deep insights into how protein networks may be perturbed during disease and aging processes, and offer potential avenues for therapeutic interventions, drug discovery, and biomarker development.