ArticleCell systems2020
The Key Parameters that Govern Translation Efficiency.
Article in Cell systems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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.
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.
Who cites it
24 citing papers in PubMed, 59 citations in OpenAlex.
- The importance of nonsense errors: Estimating the rates and implications of ribosome drop-off during protein synthesis.PLoS genetics · 2026Article
- Single-mRNA imaging and modeling reveal coupled translation initiation and elongation rates.eLife · 2026Article
- Bridging single-molecule and genome-wide studies of cellular mRNA translation.RNA (New York, N.Y.) · 2026Review
- NNature · 2026Article
- Multi-omic assessment of mRNA translation dynamics in liver cancer cell lines.Scientific data · 2025Article
- Reciprocal Dynamics of Metabolism and mRNA Translation in Tumor Angiogenesis.International journal of molecular sciences · 2024Review
- Understanding the regulation of protein synthesis under stress conditions.Biophysical journal · 2024Article
- Spatial proteomics: unveiling the multidimensional landscape of protein localization in human diseases.Proteome science · 2024Review
- How total mRNA influences cell growth.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Model-based characterization of the equilibrium dynamics of transcription initiation and promoter-proximal pausing in human cells.Nucleic acids research · 2023Article
- Bayesian inference of polymerase dynamics over the exclusion process.Royal Society open science · 2023Article
- Optimization of ribosome utilization inPNAS nexus · 2023Article
- choros: correction of sequence-based biases for accurate quantification of ribosome profiling data.bioRxiv : the preprint server for biology · 2023Article
- End-to-end pipeline for differential analysis of pausing in ribosome profiling data.STAR protocols · 2022Article
- Article
- Slow nucleosome dynamics set the transcriptional speed limit and induce RNA polymerase II traffic jams and bursts.PLoS computational biology · 2022Article
- Analysis of Ribosome Profiling Data.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Zebrafish as a Model to Evaluate a CRISPR/Cas9-Based Exon Excision Approach as a Future Treatment Option forInternational journal of molecular sciences · 2021Article
- EGGTART: A tool to visualize the dynamics of biophysical transport under the inhomogeneous l-TASEP.Biophysical journal · 2021Article
- Full-length ribosome density prediction by a multi-input and multi-output model.PLoS computational biology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Translation of mRNA into protein is a fundamental yet complex biological process with multiple factors that can potentially affect its efficiency. Here, we study a stochastic model describing the traffic flow of ribosomes along the mRNA and identify the key parameters that govern the overall rate of protein synthesis, sensitivity to initiation rate changes, and efficiency of ribosome usage. By analyzing a continuum limit of the model, we obtain closed-form expressions for stationary currents and ribosomal densities, which agree well with Monte Carlo simulations. Furthermore, we completely characterize the phase transitions in the system, and by applying our theoretical results, we formulate design principles that detail how to tune the key parameters we identified to optimize translation efficiency. Using ribosome profiling data from S. cerevisiae, we show that its translation system is generally consistent with these principles. Our theoretical results have implications for evolutionary biology, as well as for synthetic biology.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.