Evidence map›Paper›PMID 37862386›Full record

ArticlePLoS computational biology2023

Physical modeling of ribosomes along messenger RNA: Estimating kinetic parameters from ribosome profiling experiments using a ballistic model.

Carole Chevalier, Jérôme Dorignac, Yahaya Ibrahim, Armelle Choquet, Alexandre David, Julie Ripoll, Eric Rivals, Frédéric Geniet, Nils-Ole Walliser, John Palmeri and 2 more

Abstract read
In one paragraph

Article in PLoS computational biology, 2023. 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. RiboScreenBiomedicines · 2026
    Review
  2. A Versatile Ribo-seq Workflow for Enhanced Analysis of Ribosome Dynamics.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  3. 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

12 authors.

Carole ChevalierLaboratoire Charles Coulomb (L2C), Univ. Montpellier, CNRS, Montpellier, France.
Jérôme DorignacLaboratoire Charles Coulomb (L2C), Univ. Montpellier, CNRS, Montpellier, France.
Yahaya IbrahimLaboratoire Charles Coulomb (L2C), Univ. Montpellier, CNRS, Montpellier, France.ORCID 0000-0001-9848-9075
Armelle ChoquetInstitut de Génétique Fonctionelle (IGF), Montpellier University, CNRS, Montpellier, France.
Alexandre DavidInstitut de Génétique Fonctionelle (IGF), Montpellier University, CNRS, Montpellier, France.ORCID 0000-0003-3365-1339
Julie RipollLaboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier (LIRMM), Montpellier University, CNRS, Montpellier, France.
Eric RivalsLaboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier (LIRMM), Montpellier University, CNRS, Montpellier, France.
Frédéric GenietLaboratoire Charles Coulomb (L2C), Univ. Montpellier, CNRS, Montpellier, France.
Nils-Ole WalliserLaboratoire Charles Coulomb (L2C), Univ. Montpellier, CNRS, Montpellier, France.ORCID 0000-0003-3232-1872
John PalmeriLaboratoire Charles Coulomb (L2C), Univ. Montpellier, CNRS, Montpellier, France.
Andrea ParmeggianiLaboratoire Charles Coulomb (L2C), Univ. Montpellier, CNRS, Montpellier, France.ORCID 0000-0003-3025-4266
Jean-Charles WalterLaboratoire Charles Coulomb (L2C), Univ. Montpellier, CNRS, Montpellier, France.ORCID 0000-0002-7313-0100

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene expression is the synthesis of proteins from the information encoded on DNA. One of the two main steps of gene expression is the translation of messenger RNA (mRNA) into polypeptide sequences of amino acids. Here, by taking into account mRNA degradation, we model the motion of ribosomes along mRNA with a ballistic model where particles advance along a filament without excluded volume interactions. Unidirectional models of transport have previously been used to fit the average density of ribosomes obtained by the experimental ribo-sequencing (Ribo-seq) technique in order to obtain the kinetic rates. The degradation rate is not, however, accounted for and experimental data from different experiments are needed to have enough parameters for the fit. Here, we propose an entirely novel experimental setup and theoretical framework consisting in splitting the mRNAs into categories depending on the number of ribosomes from one to four. We solve analytically the ballistic model for a fixed number of ribosomes per mRNA, study the different regimes of degradation, and propose a criterion for the quality of the inverse fit. The proposed method provides a high sensitivity to the mRNA degradation rate. The additional equations coming from using the monosome (single ribosome) and polysome (arbitrary number) ribo-seq profiles enable us to determine all the kinetic rates in terms of the experimentally accessible mRNA degradation rate.

Indexed as

Protein BiosynthesisRibosome ProfilingProteinsRibosomesRNA, MessengerProteinsRNA, Messenger

Identifiers

PMID37862386
PMCPMC10659217

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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.