Evidence map›Paper›PMID 41074454›Full record

ArticleBiophysical journal2025

Near-cognate tRNAs enhance tRNA rejection and prime the ribosome for rapid subsequent tRNA testing.

Clark Fritsch, Arpan Bhattacharya, Martin Y Ng, Hong Li, Philip C Nelson, Barry S Cooperman, Yale E Goldman

Abstract read
In one paragraph

Article in Biophysical journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
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

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

3 citing papers in PubMed.

  1. RNAViruses · 2026
    Review
  2. Article
  3. Active transport of tRNAs facilitates distributed protein synthesis.bioRxiv : the preprint server for biology · 2026
    Article
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

7 authors.

Clark FritschDepartment of Physiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Cell and Molecular Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Biophysics and Biophysical Chemistry, Johns Hopkins University, Baltimore, Maryland.
Arpan BhattacharyaDepartment of Physiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Chemistry, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Pharmacology and Department of Molecular and Cellular Biology, University of California, Davis, Davis, California.
Martin Y NgDepartment of Chemistry, University of Pennsylvania, Philadelphia, Pennsylvania.
Hong LiDepartment of Chemistry, University of Pennsylvania, Philadelphia, Pennsylvania.
Philip C NelsonDepartment of Physics and Astronomy, University of Pennsylvania, Philadelphia, Pennsylvania.
Barry S CoopermanDepartment of Chemistry, University of Pennsylvania, Philadelphia, Pennsylvania.
Yale E GoldmanDepartment of Physiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Cell and Molecular Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Pennsylvania Muscle Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Pharmacology and Department of Molecular and Cellular Biology, University of California, Davis, Davis, California. Electronic address: yegoldman@ucdavis.edu.

Funding

Supplemental Application linked to parent grant Structural Dynamics of Molecular Motors, the Cytoskeleton, and the RibosomeR35GM118139 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI YALE E GOLDMAN · 2016 to 2026
$8.3M
Catalytic roles of RNA methyltransferase DIMT1R01HL160726 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI COOPERMAN, BARRY S., LIU, FANGE · 2022 to 2025
$2.4M
Mechanisms of Induced Nonsense Suppression and MisreadingR01GM127374 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI BARRY S. COOPERMAN · 2018 to 2026
$2.3M
NHLBI NIH HHS R01 HL160726NIGMS NIH HHS R01 GM127374NIGMS NIH HHS R35 GM118139
6 · The paper itself

Abstract

The ribosome plays a central role in translating the genetic code into amino acid sequences during polypeptide synthesis. In each cycle of peptide elongation, the ribosome discriminates between correct and incorrect aminoacyl-tRNAs based on the codon present in its A-site. To ensure high fidelity, ribosomes employ multiple proofreading mechanisms that reduce the selection of incorrect aminoacyl-tRNAs. Initial proofreading of incorrect tRNAs (near-cognate or non-cognate) is well understood in prokaryotic ribosomes but incompletely understood in eukaryotic systems. To investigate tRNA selection and accommodation for both cognate and near-cognate tRNAs, we employed single-molecule fluorescence resonance energy transfer with an in vitro eukaryotic translation system assembled on an error-prone mRNA sequence. We compared tRNA binding and accommodation rates of tryptophan-aminoacyl-tRNA in the ribosomal A-site containing either cognate or near-cognate codons. Although initial sampling of near-cognate tRNAs was slower than for cognate tRNA, subsequent near-cognate sampling events proceeded more rapidly than the initial near-cognate event. Increasing the concentration of near-cognate aminoacyl-tRNA surprisingly decreased its accommodation efficiency, a phenomenon not seen with cognate tRNAs. These findings suggest that rejection of a near-cognate tRNA induces an altered ribosomal conformation that enhances discrimination against further errors while simultaneously accelerating the tRNA sampling rate.

Indexed as

RibosomesRNA, TransferFluorescence Resonance Energy TransferProtein BiosynthesisRNA, Transfer

Identifiers

PMID41074454
PMCPMC12709386

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.