ArticleScientific reports2021
Variability in mRNA translation: a random matrix theory approach.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Article
- A mathematical framework for analysing particle flow in a network with multiple pools.Royal Society open science · 2024Article
- DNA Vaccines: Their Formulations, Engineering and Delivery.Vaccines · 2024Review
- On the gain of entrainment in theJournal of the Royal Society, Interface · 2023Article
- Translation in the cell under fierce competition for shared resources: a mathematical model.Journal of the Royal Society, Interface · 2022Article
- A theoretical framework to analyse the flow of particles in a dynamical system with stochastic transition rates and site capacities.Royal Society open science · 2022Article
- Large-scale mRNA translation and the intricate effects of competition for the finite pool of ribosomes.Journal of the Royal Society, Interface · 2022Article
- Maximizing average throughput in oscillatory biochemical synthesis systems: an optimal control approach.Royal Society open science · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The rate of mRNA translation depends on the initiation, elongation, and termination rates of ribosomes along the mRNA. These rates depend on many "local" factors like the abundance of free ribosomes and tRNA molecules in the vicinity of the mRNA molecule. All these factors are stochastic and their experimental measurements are also noisy. An important question is how protein production in the cell is affected by this considerable variability. We develop a new theoretical framework for addressing this question by modeling the rates as identically and independently distributed random variables and using tools from random matrix theory to analyze the steady-state production rate. The analysis reveals a principle of universality: the average protein production rate depends only on the of the set of possible values that the random variable may attain. This explains how total protein production can be stabilized despite the overwhelming stochasticticity underlying cellular processes.
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Registered trials
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