Evidence map›Paper›PMID 38923096›Full record

ArticleChembiochem : a European journal of chemical biology2024

Allosteric Effects of EF-G Domain I Mutations Inducing Ribosome Frameshifting Revealed by Multiplexed Force Spectroscopy.

Yanjun Chen, Miriam Gavriliuc, Yi Zeng, Shoujun Xu, Yuhong Wang

Abstract read
In one paragraph

Article in Chembiochem : a European journal of chemical biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yanjun ChenDepartment of Chemistry, University of Houston, Houston, TX, 77204, USA E-mails.
Miriam GavriliucDepartment of Biology and Biochemistry, University of Houston, Houston, TX, 77204, USA.
Yi ZengDepartment of Chemistry, University of Houston, Houston, TX, 77204, USA E-mails.
Shoujun XuDepartment of Chemistry, University of Houston, Houston, TX, 77204, USA E-mails.
Yuhong WangDepartment of Biology and Biochemistry, University of Houston, Houston, TX, 77204, USA.

Funding

EF-Tu mutagenesis and functional studyR01GM111452 · NIGMS · UNIVERSITY OF HOUSTON · PI YUHONG WANG, Shoujun Xu · 2015 to 2026
$3.2M
NIGMS NIH HHS R01 GM111452US National Institutes of Health R01GM111452
6 · The paper itself

Abstract

Ribosome translocation catalyzed by elongation factor G (EF-G) is a critical step in protein synthesis where the ribosome typically moves along the mRNA by three nucleotides at each step. To investigate the mechanism of EF-G catalysis, it is essential to precisely resolve the ribosome motion at both ends of the mRNA, which, to our best knowledge, is only achieved with the magnetic-based force spectroscopy developed by our groups. Here, we introduce a novel multiplexed force spectroscopy technique that, for the first time, offers single-nucleotide resolution for multiple samples. This technique combines multiple acoustic force generators with the smallest atomic magnetometer designed for biological research. Utilizing this technique, we demonstrate that mutating EF-G at the GTP binding pocket results in the ribosome moving only two nucleotides on both ends of the mRNA, thereby compromising ribosome translocation. This finding suggests a direct link between GTP hydrolysis and ribosome translocation. Our results not only provide mechanistic insights into the role of GTP binding pocket but also illuminate how allosteric mutations can manipulate translocation. We anticipate broader applications of our technique in the ribosome field, leveraging its high efficiency and single-nucleotide resolution.

Indexed as

MutationPeptide Elongation Factor GRibosomesAllosteric RegulationGuanosine TriphosphateProtein DomainsGuanosine TriphosphatePeptide Elongation Factor GAllosteric effectDNA rulerElongation factor G mutationFrameshiftingMultiplexed force spectroscopyRibosome translocation

Identifiers

PMID38923096
PMCPMC11446648

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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.