Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

mRNA- and factor-driven dynamic variability controls eIF4F-cap recognition for translation initiation

Burak Çetin, View ORCID ProfileSeán E. O’Leary
doi: https://doi.org/10.1101/2021.06.17.448745
Burak Çetin
1Graduate Program in Cell, Molecular, and Developmental Biology, University of California Riverside, Riverside, CA 92521
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Seán E. O’Leary
1Graduate Program in Cell, Molecular, and Developmental Biology, University of California Riverside, Riverside, CA 92521
2Department of Biochemistry, University of California Riverside, Riverside, CA 92521
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Seán E. O’Leary
  • For correspondence: sean.oleary@ucr.edu
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

SUMMARY

mRNA 5ʹ cap recognition by eIF4F is a key step in eukaryotic translational control. While different mRNAs respond differently to eIF4F-directed regulation, the molecular basis for this variability remains unclear. We developed single-molecule fluorescence assays to directly observe eIF4F– mRNA interactions. We uncovered a complex interplay of mRNA features with factor activities that differentiates cap recognition between mRNAs. eIF4E–cap association rates are anticorrelated with mRNA length. eIF4A leverages ATP binding to differentially accelerate eIF4E– mRNA association; the extent of this acceleration correlates with translation efficiency in vivo. eIF4G lengthens eIF4E–cap binding to persist on the initiation timescale. The full eIF4F complex discriminates between mRNAs in an ATP-dependent manner. After eIF4F–mRNA binding, eIF4E is ejected from the cap by eIF4A ATP hydrolysis. Our results suggest features throughout mRNA coordinate in controlling cap recognition at the 5ʹ end, and suggest a model for how eIF4F–mRNA dynamics establish mRNA sensitivity to translational control processes.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
Back to top
PreviousNext
Posted June 17, 2021.
Download PDF

Supplementary Material

Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
mRNA- and factor-driven dynamic variability controls eIF4F-cap recognition for translation initiation
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
mRNA- and factor-driven dynamic variability controls eIF4F-cap recognition for translation initiation
Burak Çetin, Seán E. O’Leary
bioRxiv 2021.06.17.448745; doi: https://doi.org/10.1101/2021.06.17.448745
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
mRNA- and factor-driven dynamic variability controls eIF4F-cap recognition for translation initiation
Burak Çetin, Seán E. O’Leary
bioRxiv 2021.06.17.448745; doi: https://doi.org/10.1101/2021.06.17.448745

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Biophysics
Subject Areas
All Articles
  • Animal Behavior and Cognition (3479)
  • Biochemistry (7318)
  • Bioengineering (5296)
  • Bioinformatics (20197)
  • Biophysics (9976)
  • Cancer Biology (7703)
  • Cell Biology (11250)
  • Clinical Trials (138)
  • Developmental Biology (6418)
  • Ecology (9916)
  • Epidemiology (2065)
  • Evolutionary Biology (13280)
  • Genetics (9352)
  • Genomics (12554)
  • Immunology (7674)
  • Microbiology (18939)
  • Molecular Biology (7417)
  • Neuroscience (40893)
  • Paleontology (298)
  • Pathology (1226)
  • Pharmacology and Toxicology (2126)
  • Physiology (3140)
  • Plant Biology (6838)
  • Scientific Communication and Education (1270)
  • Synthetic Biology (1891)
  • Systems Biology (5296)
  • Zoology (1085)