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Spatiotemporal Patterning Enabled by Gene Regulatory Networks
[Image: see text] Spatiotemporal pattern formation plays a key role in various biological phenomena including embryogenesis and neural network formation. Though the reaction–diffusion systems enabling pattern formation have been studied phenomenologically, the biomolecular mechanisms behind these pr...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9893257/ https://www.ncbi.nlm.nih.gov/pubmed/36743018 http://dx.doi.org/10.1021/acsomega.2c04581 |
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author | Roy, Ushasi Singh, Divyoj Vincent, Navin Haritas, Chinmay K. Jolly, Mohit Kumar |
author_facet | Roy, Ushasi Singh, Divyoj Vincent, Navin Haritas, Chinmay K. Jolly, Mohit Kumar |
author_sort | Roy, Ushasi |
collection | PubMed |
description | [Image: see text] Spatiotemporal pattern formation plays a key role in various biological phenomena including embryogenesis and neural network formation. Though the reaction–diffusion systems enabling pattern formation have been studied phenomenologically, the biomolecular mechanisms behind these processes have not been modeled in detail. Here, we study the emergence of spatiotemporal patterns due to simple, synthetic and commonly observed two- and three-node gene regulatory network motifs coupled with their molecular diffusion in one- and two-dimensional space. We investigate the patterns formed due to the coupling of inherent multistable and oscillatory behavior of the toggle switch, toggle switch with double self-activation, toggle triad, and repressilator with the effect of spatial diffusion of these molecules. We probe multiple parameter regimes corresponding to different regions of stability (monostable, multistable, oscillatory) and assess the impact of varying diffusion coefficients. This analysis offers valuable insights into the design principles of pattern formation facilitated by these network motifs, and it suggests the mechanistic underpinnings of biological pattern formation. |
format | Online Article Text |
id | pubmed-9893257 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-98932572023-02-03 Spatiotemporal Patterning Enabled by Gene Regulatory Networks Roy, Ushasi Singh, Divyoj Vincent, Navin Haritas, Chinmay K. Jolly, Mohit Kumar ACS Omega [Image: see text] Spatiotemporal pattern formation plays a key role in various biological phenomena including embryogenesis and neural network formation. Though the reaction–diffusion systems enabling pattern formation have been studied phenomenologically, the biomolecular mechanisms behind these processes have not been modeled in detail. Here, we study the emergence of spatiotemporal patterns due to simple, synthetic and commonly observed two- and three-node gene regulatory network motifs coupled with their molecular diffusion in one- and two-dimensional space. We investigate the patterns formed due to the coupling of inherent multistable and oscillatory behavior of the toggle switch, toggle switch with double self-activation, toggle triad, and repressilator with the effect of spatial diffusion of these molecules. We probe multiple parameter regimes corresponding to different regions of stability (monostable, multistable, oscillatory) and assess the impact of varying diffusion coefficients. This analysis offers valuable insights into the design principles of pattern formation facilitated by these network motifs, and it suggests the mechanistic underpinnings of biological pattern formation. American Chemical Society 2023-01-17 /pmc/articles/PMC9893257/ /pubmed/36743018 http://dx.doi.org/10.1021/acsomega.2c04581 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Roy, Ushasi Singh, Divyoj Vincent, Navin Haritas, Chinmay K. Jolly, Mohit Kumar Spatiotemporal Patterning Enabled by Gene Regulatory Networks |
title | Spatiotemporal
Patterning Enabled by Gene Regulatory
Networks |
title_full | Spatiotemporal
Patterning Enabled by Gene Regulatory
Networks |
title_fullStr | Spatiotemporal
Patterning Enabled by Gene Regulatory
Networks |
title_full_unstemmed | Spatiotemporal
Patterning Enabled by Gene Regulatory
Networks |
title_short | Spatiotemporal
Patterning Enabled by Gene Regulatory
Networks |
title_sort | spatiotemporal
patterning enabled by gene regulatory
networks |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9893257/ https://www.ncbi.nlm.nih.gov/pubmed/36743018 http://dx.doi.org/10.1021/acsomega.2c04581 |
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