The differential mechanisms of eIF4A1-mediated translational activation instructed by distinct RNA features
Schmidt, T.; Turnbull, A. P.; Gupta, A.; Waldron, J. A.; Pollock, K.; Munro, J.; Nepravishta, R.; Herviou, P.; Dabrowska, A.; Hodge, K.; Voelker, A. M.; Pang, L.; Pasquali, C.; Kanellos, G.; Zanivan, S.; Sansom, O. J.; Beaudoin, J.-D.; Bushell, M.
Show abstract
All mRNAs require eukaryotic translation initiation factor (eIF) 4A1 for translation through its different functions: loading of the pre-initiation complex onto mRNAs and unwinding of RNA structure. eIF4A1 is the catalytic subunit of the cap- binding eIF4F complex and presumed to select the mRNAs for translation through these activities, instructed by signalling pathways driving cell fate. The mechanisms underlying activation of the distinct eIF4A1 functions and establish translational selectivity are unknown. Here, we have unravelled the complexity of mRNA selection by eIF4A1. We have mechanistically characterised the biological and atomic basis of inhibition by gain- and loss-of-function eIF4A1-inhibitors eFT226 and hippuristanol, and used machine learning to model the mRNA features associated with specific inhibition. This uncovered the eIF4A1 function - mRNA sequence relationship: 5UTRs containing C/CG-rich require efficient mRNA loading by eIF4F which is specifically targeted by hippuristanol, while 5UTRs harbouring alternatives starts sites together with AG-rich motifs utilise eIF4A1 for start site selection, specifically perturbed by eFT226. Our model is validated through a massively parallel reporter assay using 5UTRs from a distinct evolutionary origin. This prompted us to examine the conservation between mRNA sequence and eIF4A1 function, and revealed their co- development. Our findings highlight opportunities for novel therapeutic strategies targeting eIF4A1 and for improved design of mRNA-based therapeutics.
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