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Expression variation and covariation impair analog and enable binary signaling control
Due to noise in the synthesis and degradation of proteins, the concentrations of individual vertebrate signaling proteins were estimated to vary with a coefficient of variation (CV) of approximately 25% between cells. Such high variation is beneficial for population‐level regulation of cell function...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5951153/ https://www.ncbi.nlm.nih.gov/pubmed/29759982 http://dx.doi.org/10.15252/msb.20177997 |
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author | Kovary, Kyle M Taylor, Brooks Zhao, Michael L Teruel, Mary N |
author_facet | Kovary, Kyle M Taylor, Brooks Zhao, Michael L Teruel, Mary N |
author_sort | Kovary, Kyle M |
collection | PubMed |
description | Due to noise in the synthesis and degradation of proteins, the concentrations of individual vertebrate signaling proteins were estimated to vary with a coefficient of variation (CV) of approximately 25% between cells. Such high variation is beneficial for population‐level regulation of cell functions but abolishes accurate single‐cell signal transmission. Here, we measure cell‐to‐cell variability of relative protein abundance using quantitative proteomics of individual Xenopus laevis eggs and cultured human cells and show that variation is typically much lower, in the range of 5–15%, compatible with accurate single‐cell transmission. Focusing on bimodal ERK signaling, we show that variation and covariation in MEK and ERK expression improves controllability of the percentage of activated cells, demonstrating how variation and covariation in expression enables population‐level control of binary cell‐fate decisions. Together, our study argues for a control principle whereby low expression variation enables accurate control of analog single‐cell signaling, while increased variation, covariation, and numbers of pathway components are required to widen the stimulus range over which external inputs regulate binary cell activation to enable precise control of the fraction of activated cells in a population. |
format | Online Article Text |
id | pubmed-5951153 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-59511532018-05-18 Expression variation and covariation impair analog and enable binary signaling control Kovary, Kyle M Taylor, Brooks Zhao, Michael L Teruel, Mary N Mol Syst Biol Articles Due to noise in the synthesis and degradation of proteins, the concentrations of individual vertebrate signaling proteins were estimated to vary with a coefficient of variation (CV) of approximately 25% between cells. Such high variation is beneficial for population‐level regulation of cell functions but abolishes accurate single‐cell signal transmission. Here, we measure cell‐to‐cell variability of relative protein abundance using quantitative proteomics of individual Xenopus laevis eggs and cultured human cells and show that variation is typically much lower, in the range of 5–15%, compatible with accurate single‐cell transmission. Focusing on bimodal ERK signaling, we show that variation and covariation in MEK and ERK expression improves controllability of the percentage of activated cells, demonstrating how variation and covariation in expression enables population‐level control of binary cell‐fate decisions. Together, our study argues for a control principle whereby low expression variation enables accurate control of analog single‐cell signaling, while increased variation, covariation, and numbers of pathway components are required to widen the stimulus range over which external inputs regulate binary cell activation to enable precise control of the fraction of activated cells in a population. John Wiley and Sons Inc. 2018-05-14 /pmc/articles/PMC5951153/ /pubmed/29759982 http://dx.doi.org/10.15252/msb.20177997 Text en © 2018 The Authors. Published under the terms of the CC BY 4.0 license This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Kovary, Kyle M Taylor, Brooks Zhao, Michael L Teruel, Mary N Expression variation and covariation impair analog and enable binary signaling control |
title | Expression variation and covariation impair analog and enable binary signaling control |
title_full | Expression variation and covariation impair analog and enable binary signaling control |
title_fullStr | Expression variation and covariation impair analog and enable binary signaling control |
title_full_unstemmed | Expression variation and covariation impair analog and enable binary signaling control |
title_short | Expression variation and covariation impair analog and enable binary signaling control |
title_sort | expression variation and covariation impair analog and enable binary signaling control |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5951153/ https://www.ncbi.nlm.nih.gov/pubmed/29759982 http://dx.doi.org/10.15252/msb.20177997 |
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