Variability in mRNA translation: a random matrix theory approach
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 an...
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Nature Portfolio
2021
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oai:doaj.org-article:444da30749464f0a930644f1049d60c72021-12-02T15:53:02ZVariability in mRNA translation: a random matrix theory approach10.1038/s41598-021-84738-02045-2322https://doaj.org/article/444da30749464f0a930644f1049d60c72021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-84738-0https://doaj.org/toc/2045-2322Abstract 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.Michael MargaliotWasim HuleihelTamir TullerNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-14 (2021) |
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Medicine R Science Q Michael Margaliot Wasim Huleihel Tamir Tuller Variability in mRNA translation: a random matrix theory approach |
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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. |
format |
article |
author |
Michael Margaliot Wasim Huleihel Tamir Tuller |
author_facet |
Michael Margaliot Wasim Huleihel Tamir Tuller |
author_sort |
Michael Margaliot |
title |
Variability in mRNA translation: a random matrix theory approach |
title_short |
Variability in mRNA translation: a random matrix theory approach |
title_full |
Variability in mRNA translation: a random matrix theory approach |
title_fullStr |
Variability in mRNA translation: a random matrix theory approach |
title_full_unstemmed |
Variability in mRNA translation: a random matrix theory approach |
title_sort |
variability in mrna translation: a random matrix theory approach |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/444da30749464f0a930644f1049d60c7 |
work_keys_str_mv |
AT michaelmargaliot variabilityinmrnatranslationarandommatrixtheoryapproach AT wasimhuleihel variabilityinmrnatranslationarandommatrixtheoryapproach AT tamirtuller variabilityinmrnatranslationarandommatrixtheoryapproach |
_version_ |
1718385506073444352 |