Evidence map›Paper›PMID 38729943›Full record

ArticleNature communications2024

5'UTR G-quadruplex structure enhances translation in size dependent manner.

Chun-Ying Lee, Meera Joshi, Ashley Wang, Sua Myong

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed.

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  20. Human Synthetic Biology and Programmable Gene Regulation Control.Annual review of genomics and human genetics · 2025
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Chun-Ying Lee *Department of Biophysics, Johns Hopkins University, Baltimore, MD, 21218, USA.
Meera Joshi *Department of Biophysics, Johns Hopkins University, Baltimore, MD, 21218, USA.
Ashley WangDepartment of Biophysics, Johns Hopkins University, Baltimore, MD, 21218, USA.ORCID http://orcid.org/0000-0001-6542-999X
Sua MyongDepartment of Biophysics, Johns Hopkins University, Baltimore, MD, 21218, USA. sua.myong@childrens.harvard.edu.ORCID http://orcid.org/0000-0001-9098-3423

Funding

Gene Expression Modulated by G4, R-loop and DNA Supercoiling (Supplement for Equipment)R01GM149729 · NIGMS · BOSTON CHILDREN'S HOSPITAL · PI Sua Myong · 2023 to 2026
$1.6M
Quantitative Analysis of G-Quadruplex Folding and its Role in Gene ExpressionR01GM115631 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI MYONG, SUA · 2016 to 2019
$1.2M
NIGMS NIH HHS R01 GM115631NIGMS NIH HHS R01 GM149729
6 · The paper itself

Abstract

Translation initiation in bacteria is frequently regulated by various structures in the 5' untranslated region (5'UTR). Previously, we demonstrated that G-quadruplex (G4) formation in non-template DNA enhances transcription. In this study, we aim to explore how G4 formation in mRNA (RG4) at 5'UTR impacts translation using a T7-based in vitro translation system and in E. coli. We show that RG4 strongly promotes translation efficiency in a size-dependent manner. Additionally, inserting a hairpin upstream of the RG4 further enhances translation efficiency, reaching up to a 12-fold increase. We find that the RG4-dependent effect is not due to increased ribosome affinity, ribosome binding site accessibility, or mRNA stability. We propose a physical barrier model in which bulky structures in 5'UTR biases ribosome movement toward the downstream start codon, thereby increasing the translation output. This study provides biophysical insights into the regulatory role of 5'UTR structures in in vitro and bacterial translation, highlighting their potential applications in tuning gene expression.

Indexed as

5' Untranslated RegionsEscherichia coliG-QuadruplexesProtein BiosynthesisRibosomesRNA, MessengerBinding SitesNucleic Acid ConformationRNA Stability5' Untranslated RegionsRNA, Messenger

Identifiers

PMID38729943
PMCPMC11087576

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.