Programming cell growth into different cluster shapes using diffusible signals.
Advances in genetic engineering technologies have allowed the construction of artificial genetic circuits, which have been used to generate spatial patterns of differential gene expression. However, the question of how cells can be programmed, and how complex the rules need to be, to achieve a desir...
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Public Library of Science (PLoS)
2021
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oai:doaj.org-article:85a2c56e6abf4ee6bfbf13147ce55aa52021-12-02T19:57:58ZProgramming cell growth into different cluster shapes using diffusible signals.1553-734X1553-735810.1371/journal.pcbi.1009576https://doaj.org/article/85a2c56e6abf4ee6bfbf13147ce55aa52021-11-01T00:00:00Zhttps://doi.org/10.1371/journal.pcbi.1009576https://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Advances in genetic engineering technologies have allowed the construction of artificial genetic circuits, which have been used to generate spatial patterns of differential gene expression. However, the question of how cells can be programmed, and how complex the rules need to be, to achieve a desired tissue morphology has received less attention. Here, we address these questions by developing a mathematical model to study how cells can collectively grow into clusters with different structural morphologies by secreting diffusible signals that can influence cellular growth rates. We formulate how growth regulators can be used to control the formation of cellular protrusions and how the range of achievable structures scales with the number of distinct signals. We show that a single growth inhibitor is insufficient for the formation of multiple protrusions but may be achieved with multiple growth inhibitors, and that other types of signals can regulate the shape of protrusion tips. These examples illustrate how our approach could potentially be used to guide the design of regulatory circuits for achieving a desired target structure.Yipei GuoMor NitzanMichael P BrennerPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 17, Iss 11, p e1009576 (2021) |
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Biology (General) QH301-705.5 Yipei Guo Mor Nitzan Michael P Brenner Programming cell growth into different cluster shapes using diffusible signals. |
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Advances in genetic engineering technologies have allowed the construction of artificial genetic circuits, which have been used to generate spatial patterns of differential gene expression. However, the question of how cells can be programmed, and how complex the rules need to be, to achieve a desired tissue morphology has received less attention. Here, we address these questions by developing a mathematical model to study how cells can collectively grow into clusters with different structural morphologies by secreting diffusible signals that can influence cellular growth rates. We formulate how growth regulators can be used to control the formation of cellular protrusions and how the range of achievable structures scales with the number of distinct signals. We show that a single growth inhibitor is insufficient for the formation of multiple protrusions but may be achieved with multiple growth inhibitors, and that other types of signals can regulate the shape of protrusion tips. These examples illustrate how our approach could potentially be used to guide the design of regulatory circuits for achieving a desired target structure. |
format |
article |
author |
Yipei Guo Mor Nitzan Michael P Brenner |
author_facet |
Yipei Guo Mor Nitzan Michael P Brenner |
author_sort |
Yipei Guo |
title |
Programming cell growth into different cluster shapes using diffusible signals. |
title_short |
Programming cell growth into different cluster shapes using diffusible signals. |
title_full |
Programming cell growth into different cluster shapes using diffusible signals. |
title_fullStr |
Programming cell growth into different cluster shapes using diffusible signals. |
title_full_unstemmed |
Programming cell growth into different cluster shapes using diffusible signals. |
title_sort |
programming cell growth into different cluster shapes using diffusible signals. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2021 |
url |
https://doaj.org/article/85a2c56e6abf4ee6bfbf13147ce55aa5 |
work_keys_str_mv |
AT yipeiguo programmingcellgrowthintodifferentclustershapesusingdiffusiblesignals AT mornitzan programmingcellgrowthintodifferentclustershapesusingdiffusiblesignals AT michaelpbrenner programmingcellgrowthintodifferentclustershapesusingdiffusiblesignals |
_version_ |
1718375788401655808 |