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Abstract

Viruses use internal ribosome entry sites (IRES) to hijack host ribosomes and promote cap-independent translation. Although they are well-studied in bulk, the dynamics of IRES-mediated translation remain unexplored at the single-molecule level. Here, we developed a bicistronic biosensor encoding distinct repeat epitopes in two open reading frames (ORFs), one translated from the 5′ cap, and the other from the encephalomyocarditis virus IRES. When combined with a pair of complementary probes that bind the epitopes cotranslationally, the biosensor lights up in different colors depending on which ORF is translated. Using the sensor together with single-molecule tracking and computational modeling, we measured the kinetics of cap-dependent versus IRES-mediated translation in living human cells. We show that bursts of IRES translation are shorter and rarer than bursts of cap translation, although the situation reverses upon stress. Collectively, our data support a model for translational regulation primarily driven by transitions between translationally active and inactive RNA states.

Design of a bicistronic biosensor allows simultaneous quantification of cap- and IRES-mediated translation under normal and stress conditions in living mammalian cells.

Details

Title
Quantifying the dynamics of IRES and cap translation with single-molecule resolution in live cells
Author
Koch, Amanda 1 ; Aguilera, Luis 2 ; Morisaki Tatsuya 1   VIAFID ORCID Logo  ; Munsky Brian 2 ; Stasevich, Timothy J 3   VIAFID ORCID Logo 

 Colorado State University, Department of Biochemistry and Molecular Biology, Fort Collins, USA (GRID:grid.47894.36) (ISNI:0000 0004 1936 8083) 
 Colorado State University, Keck Scholars, Department of Chemical and Biological Engineering and School of Biomedical Engineering, Fort Collins, USA (GRID:grid.47894.36) (ISNI:0000 0004 1936 8083) 
 Colorado State University, Department of Biochemistry and Molecular Biology, Fort Collins, USA (GRID:grid.47894.36) (ISNI:0000 0004 1936 8083); Tokyo Institute of Technology, World Research Hub Initiative, Institute of Innovative Research, Yokohama, Japan (GRID:grid.32197.3e) (ISNI:0000 0001 2179 2105) 
Pages
1095-1104
Publication year
2020
Publication date
Dec 2020
Publisher
Nature Publishing Group
ISSN
15459993
e-ISSN
15459985
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2473287016
Copyright
© The Author(s), under exclusive licence to Springer Nature America, Inc. 2020.