Surveying the landscape of optogenetic methods for detection of protein–protein interactions
Author(s) -
Wiens Matthew D.,
Campbell Robert E.
Publication year - 2018
Publication title -
wiley interdisciplinary reviews: systems biology and medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.087
H-Index - 51
eISSN - 1939-005X
pISSN - 1939-5094
DOI - 10.1002/wsbm.1415
Subject(s) - optogenetics , computer science , synthetic biology , visualization , signal (programming language) , artificial intelligence , data science , computational biology , neuroscience , biology , programming language
Mapping the protein–protein interaction (PPi) landscape is of critical importance to furthering our understanding how cells and organisms function. Optogenetic methods, that is, approaches that utilize genetically encoded fluorophores or fluorogenic enzyme reactions, uniquely enable the visualization of biochemical phenomena in live cells with high spatial and temporal accuracy. Applying optogenetic methods to the detection of PPis requires the engineering of protein‐based systems in which an optical signal undergoes a substantial change when the two proteins of interest interact. In recent years, researchers have developed a number of creative and effective optogenetic methods that achieve this goal, and used them to further elaborate our map of the PPi landscape. In this review, we provide an introduction to the general principles of optogenetic PPi detection, and then provide a number of representative examples of how these principles have been applied. We have organized this review by categorizing methods based on whether the signal generated is reversible or irreversible in nature, and whether the signal is localized or nonlocalized at the subcellular site of the PPi. We discuss these techniques giving both their benefits and drawbacks to enable rational choices about their potential use. This article is categorized under: Laboratory Methods and Technologies > Imaging Laboratory Methods and Technologies > Macromolecular Interactions, Methods Analytical and Computational Methods > Analytical Methods
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