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Noise-driven cell differentiation and the emergence of spatiotemporal patterns
The emergence of phenotypic diversity in a population of cells and their arrangement in space and time is one of the most fascinating features of living systems. In fact, understanding multicellularity is unthinkable without explaining the proximate and the ultimate causes of cell differentiation in...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7182191/ https://www.ncbi.nlm.nih.gov/pubmed/32330159 http://dx.doi.org/10.1371/journal.pone.0232060 |
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author | Safdari, Hadiseh Kalirad, Ata Picioreanu, Cristian Tusserkani, Rouzbeh Goliaei, Bahram Sadeghi, Mehdi |
author_facet | Safdari, Hadiseh Kalirad, Ata Picioreanu, Cristian Tusserkani, Rouzbeh Goliaei, Bahram Sadeghi, Mehdi |
author_sort | Safdari, Hadiseh |
collection | PubMed |
description | The emergence of phenotypic diversity in a population of cells and their arrangement in space and time is one of the most fascinating features of living systems. In fact, understanding multicellularity is unthinkable without explaining the proximate and the ultimate causes of cell differentiation in time and space. Simpler forms of cell differentiation can be found in unicellular organisms, such as bacterial biofilm, where reversible cell differentiation results in phenotypically diverse populations. In this manuscript, we attempt to start with the simple case of reversible nongenetic phenotypic to construct a model of differentiation and pattern formation. Our model, which we refer to as noise-driven differentiation (NDD) model, is an attempt to consider the prevalence of noise in biological systems, alongside what is known about genetic switches and signaling, to create a simple model which generates spatiotemporal patterns from bottom-up. Our simulations indicate that the presence of noise in cells can lead to reversible differentiation and the addition of signaling can create spatiotemporal pattern. |
format | Online Article Text |
id | pubmed-7182191 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-71821912020-05-05 Noise-driven cell differentiation and the emergence of spatiotemporal patterns Safdari, Hadiseh Kalirad, Ata Picioreanu, Cristian Tusserkani, Rouzbeh Goliaei, Bahram Sadeghi, Mehdi PLoS One Research Article The emergence of phenotypic diversity in a population of cells and their arrangement in space and time is one of the most fascinating features of living systems. In fact, understanding multicellularity is unthinkable without explaining the proximate and the ultimate causes of cell differentiation in time and space. Simpler forms of cell differentiation can be found in unicellular organisms, such as bacterial biofilm, where reversible cell differentiation results in phenotypically diverse populations. In this manuscript, we attempt to start with the simple case of reversible nongenetic phenotypic to construct a model of differentiation and pattern formation. Our model, which we refer to as noise-driven differentiation (NDD) model, is an attempt to consider the prevalence of noise in biological systems, alongside what is known about genetic switches and signaling, to create a simple model which generates spatiotemporal patterns from bottom-up. Our simulations indicate that the presence of noise in cells can lead to reversible differentiation and the addition of signaling can create spatiotemporal pattern. Public Library of Science 2020-04-24 /pmc/articles/PMC7182191/ /pubmed/32330159 http://dx.doi.org/10.1371/journal.pone.0232060 Text en © 2020 Safdari et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Safdari, Hadiseh Kalirad, Ata Picioreanu, Cristian Tusserkani, Rouzbeh Goliaei, Bahram Sadeghi, Mehdi Noise-driven cell differentiation and the emergence of spatiotemporal patterns |
title | Noise-driven cell differentiation and the emergence of spatiotemporal patterns |
title_full | Noise-driven cell differentiation and the emergence of spatiotemporal patterns |
title_fullStr | Noise-driven cell differentiation and the emergence of spatiotemporal patterns |
title_full_unstemmed | Noise-driven cell differentiation and the emergence of spatiotemporal patterns |
title_short | Noise-driven cell differentiation and the emergence of spatiotemporal patterns |
title_sort | noise-driven cell differentiation and the emergence of spatiotemporal patterns |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7182191/ https://www.ncbi.nlm.nih.gov/pubmed/32330159 http://dx.doi.org/10.1371/journal.pone.0232060 |
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