Evidence map›Paper›PMID 31120880›Full record

ArticlePLoS computational biology2019

A chemical kinetic basis for measuring translation initiation and elongation rates from ribosome profiling data.

Ajeet K Sharma, Pietro Sormanni, Nabeel Ahmed, Prajwal Ciryam, Ulrike A Friedrich, Günter Kramer, Edward P O'Brien

Abstract read
In one paragraph

Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

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  16. Distal nucleotides affect the rate of stop codon read-through.Quantitative biology (Beijing, China) · 2023
    Article
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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

7 authors.

Ajeet K SharmaDepartment of Chemistry, Pennsylvania State University, University Park, Pennsylvania, United States of America.
Pietro SormanniCentre for Misfolding Diseases, Department of Chemistry, University of Cambridge, Cambridge, United Kingdom.
Nabeel AhmedBioinformatics and Genomics Graduate Program, The Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, Pennsylvania, United States of America.
Prajwal CiryamCentre for Misfolding Diseases, Department of Chemistry, University of Cambridge, Cambridge, United Kingdom.
Ulrike A FriedrichCenter for Molecular Biology of the Heidelberg University (ZMBH), DKFZ-ZMBH Alliance, Heidelberg, Germany.ORCID 0000-0001-7295-4549
Günter KramerCenter for Molecular Biology of the Heidelberg University (ZMBH), DKFZ-ZMBH Alliance, Heidelberg, Germany.
Edward P O'BrienDepartment of Chemistry, Pennsylvania State University, University Park, Pennsylvania, United States of America.ORCID 0000-0001-9809-3273

Funding

Translation Kinetics and their Effects on Protein Structure and Function, mRNA half-lives, and Cellular PhenotypeR35GM124818 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI Edward Patrick O'Brien · 2017 to 2026
$4.0M
NIGMS NIH HHS R35 GM124818
6 · The paper itself

Abstract

Analysis methods based on simulations and optimization have been previously developed to estimate relative translation rates from next-generation sequencing data. Translation involves molecules and chemical reactions, hence bioinformatics methods consistent with the laws of chemistry and physics are more likely to produce accurate results. Here, we derive simple equations based on chemical kinetic principles to measure the translation-initiation rate, transcriptome-wide elongation rate, and individual codon translation rates from ribosome profiling experiments. Our methods reproduce the known rates from ribosome profiles generated from detailed simulations of translation. By applying our methods to data from S. cerevisiae and mouse embryonic stem cells, we find that the extracted rates reproduce expected correlations with various molecular properties, and we also find that mouse embryonic stem cells have a global translation speed of 5.2 AA/s, in agreement with previous reports that used other approaches. Our analysis further reveals that a codon can exhibit up to 26-fold variability in its translation rate depending upon its context within a transcript. This broad distribution means that the average translation rate of a codon is not representative of the rate at which most instances of that codon are translated, and it suggests that translational regulation might be used by cells to a greater degree than previously thought.

Indexed as

Peptide Chain Elongation, TranslationalPeptide Chain Initiation, TranslationalAnimalsCodonComputational BiologyComputer SimulationKineticsMiceModels, BiologicalMouse Embryonic Stem CellsNucleic Acid ConformationRibosomesRNA CapsRNA, FungalSaccharomyces cerevisiaeTranscriptomeCodonRNA CapsRNA, Fungal

Identifiers

PMID31120880
PMCPMC6559674

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LicenceCC BY
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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.