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Gene expression flux analysis reveals specific regulatory modalities of gene expression

The level of a given protein is determined by the synthesis and degradation rates of its mRNA and protein. While several studies have quantified the contribution of different gene expression steps in regulating protein levels, these are limited by using equilibrium approximations in out-of-equilibri...

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Detalles Bibliográficos
Autores principales: Martin, Benjamin, Suter, David M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10493597/
https://www.ncbi.nlm.nih.gov/pubmed/37701574
http://dx.doi.org/10.1016/j.isci.2023.107758
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author Martin, Benjamin
Suter, David M.
author_facet Martin, Benjamin
Suter, David M.
author_sort Martin, Benjamin
collection PubMed
description The level of a given protein is determined by the synthesis and degradation rates of its mRNA and protein. While several studies have quantified the contribution of different gene expression steps in regulating protein levels, these are limited by using equilibrium approximations in out-of-equilibrium biological systems. Here, we introduce gene expression flux analysis to quantitatively dissect the dynamics of the expression level for specific proteins and use it to analyze published transcriptomics and proteomics datasets. Our analysis reveals distinct regulatory modalities shared by sets of genes with clear functional signatures. We also find that protein degradation plays a stronger role than expected in the adaptation of protein levels. These findings suggest that shared regulatory strategies can lead to versatile responses at the protein level and highlight the importance of going beyond equilibrium approximations to dissect the quantitative contribution of different steps of gene expression to protein dynamics.
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spelling pubmed-104935972023-09-12 Gene expression flux analysis reveals specific regulatory modalities of gene expression Martin, Benjamin Suter, David M. iScience Article The level of a given protein is determined by the synthesis and degradation rates of its mRNA and protein. While several studies have quantified the contribution of different gene expression steps in regulating protein levels, these are limited by using equilibrium approximations in out-of-equilibrium biological systems. Here, we introduce gene expression flux analysis to quantitatively dissect the dynamics of the expression level for specific proteins and use it to analyze published transcriptomics and proteomics datasets. Our analysis reveals distinct regulatory modalities shared by sets of genes with clear functional signatures. We also find that protein degradation plays a stronger role than expected in the adaptation of protein levels. These findings suggest that shared regulatory strategies can lead to versatile responses at the protein level and highlight the importance of going beyond equilibrium approximations to dissect the quantitative contribution of different steps of gene expression to protein dynamics. Elsevier 2023-08-28 /pmc/articles/PMC10493597/ /pubmed/37701574 http://dx.doi.org/10.1016/j.isci.2023.107758 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Martin, Benjamin
Suter, David M.
Gene expression flux analysis reveals specific regulatory modalities of gene expression
title Gene expression flux analysis reveals specific regulatory modalities of gene expression
title_full Gene expression flux analysis reveals specific regulatory modalities of gene expression
title_fullStr Gene expression flux analysis reveals specific regulatory modalities of gene expression
title_full_unstemmed Gene expression flux analysis reveals specific regulatory modalities of gene expression
title_short Gene expression flux analysis reveals specific regulatory modalities of gene expression
title_sort gene expression flux analysis reveals specific regulatory modalities of gene expression
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10493597/
https://www.ncbi.nlm.nih.gov/pubmed/37701574
http://dx.doi.org/10.1016/j.isci.2023.107758
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