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Single-cell variability in multicellular organisms

Noisy gene expression is of fundamental importance to single cells, and is therefore widely studied in single-celled organisms. Extending these studies to multicellular organisms is challenging since their cells are generally not isolated, but individuals in a tissue. Cell–cell coupling via signalli...

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Detalles Bibliográficos
Autores principales: Smith, Stephen, Grima, Ramon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5783944/
https://www.ncbi.nlm.nih.gov/pubmed/29367605
http://dx.doi.org/10.1038/s41467-017-02710-x
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author Smith, Stephen
Grima, Ramon
author_facet Smith, Stephen
Grima, Ramon
author_sort Smith, Stephen
collection PubMed
description Noisy gene expression is of fundamental importance to single cells, and is therefore widely studied in single-celled organisms. Extending these studies to multicellular organisms is challenging since their cells are generally not isolated, but individuals in a tissue. Cell–cell coupling via signalling, active transport or pure diffusion, ensures that tissue-bound cells are neither fully independent of each other, nor an entirely homogeneous population. In this article, we show that increasing the strength of coupling between cells can either increase or decrease the single-cell variability (and, therefore, the heterogeneity of the tissue), depending on the statistical properties of the underlying genetic network. We confirm these predictions using spatial stochastic simulations of simple genetic networks, and experimental data from animal and plant tissues. The results suggest that cell–cell coupling may be one of several noise-control strategies employed by multicellular organisms, and highlight the need for a deeper understanding of multicellular behaviour.
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spelling pubmed-57839442018-01-26 Single-cell variability in multicellular organisms Smith, Stephen Grima, Ramon Nat Commun Article Noisy gene expression is of fundamental importance to single cells, and is therefore widely studied in single-celled organisms. Extending these studies to multicellular organisms is challenging since their cells are generally not isolated, but individuals in a tissue. Cell–cell coupling via signalling, active transport or pure diffusion, ensures that tissue-bound cells are neither fully independent of each other, nor an entirely homogeneous population. In this article, we show that increasing the strength of coupling between cells can either increase or decrease the single-cell variability (and, therefore, the heterogeneity of the tissue), depending on the statistical properties of the underlying genetic network. We confirm these predictions using spatial stochastic simulations of simple genetic networks, and experimental data from animal and plant tissues. The results suggest that cell–cell coupling may be one of several noise-control strategies employed by multicellular organisms, and highlight the need for a deeper understanding of multicellular behaviour. Nature Publishing Group UK 2018-01-24 /pmc/articles/PMC5783944/ /pubmed/29367605 http://dx.doi.org/10.1038/s41467-017-02710-x Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Smith, Stephen
Grima, Ramon
Single-cell variability in multicellular organisms
title Single-cell variability in multicellular organisms
title_full Single-cell variability in multicellular organisms
title_fullStr Single-cell variability in multicellular organisms
title_full_unstemmed Single-cell variability in multicellular organisms
title_short Single-cell variability in multicellular organisms
title_sort single-cell variability in multicellular organisms
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5783944/
https://www.ncbi.nlm.nih.gov/pubmed/29367605
http://dx.doi.org/10.1038/s41467-017-02710-x
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