Cooperativity to increase Turing pattern space for synthetic biology

It is hard to bridge the gap between mathematical formulations and biological implementations of Turing patterns, yet this is necessary for both understanding and engineering these networks with synthetic biology approaches. Here, we model a reaction-diffusion system with two morphogens in a monosta...

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Detalles Bibliográficos
Autores principales: Diambra, Luis Aníbal, Senthivel, Vivek Raj, Bárcena Menéndez, Diego, Isalan, Mark
Formato: Articulo
Lenguaje:Inglés
Publicado: 2015
Materias:
Biología
Cooperativity
Parameter space
Synthetic biology
Turing patterns
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/85822
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-85822
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Biología
Cooperativity
Parameter space
Synthetic biology
Turing patterns
spellingShingle Biología
Cooperativity
Parameter space
Synthetic biology
Turing patterns
Diambra, Luis Aníbal
Senthivel, Vivek Raj
Bárcena Menéndez, Diego
Isalan, Mark
Cooperativity to increase Turing pattern space for synthetic biology
topic_facet Biología
Cooperativity
Parameter space
Synthetic biology
Turing patterns
description It is hard to bridge the gap between mathematical formulations and biological implementations of Turing patterns, yet this is necessary for both understanding and engineering these networks with synthetic biology approaches. Here, we model a reaction-diffusion system with two morphogens in a monostable regime, inspired by components that we recently described in a synthetic biology study in mammalian cells. The model employs a single promoter to express both the activator and inhibitor genes and produces Turing patterns over large regions of parameter space, using biologically interpretable Hill function reactions. We applied a stability analysis and identified rules for choosing biologically tunable parameter relationships to increase the likelihood of successful patterning. We show how to control Turing pattern sizes and time evolution by manipulating the values for production and degradation relationships. More importantly, our analysis predicts that steep dose-response functions arising from cooperativity are mandatory for Turing patterns. Greater steepness increases parameter space and even reduces the requirement for differential diffusion between activator and inhibitor. These results demonstrate some of the limitations of linear scenarios for reaction-diffusion systems and will help to guide projects to engineer synthetic Turing patterns.
format Articulo
Articulo
author Diambra, Luis Aníbal
Senthivel, Vivek Raj
Bárcena Menéndez, Diego
Isalan, Mark
author_facet Diambra, Luis Aníbal
Senthivel, Vivek Raj
Bárcena Menéndez, Diego
Isalan, Mark
author_sort Diambra, Luis Aníbal
title Cooperativity to increase Turing pattern space for synthetic biology
title_short Cooperativity to increase Turing pattern space for synthetic biology
title_full Cooperativity to increase Turing pattern space for synthetic biology
title_fullStr Cooperativity to increase Turing pattern space for synthetic biology
title_full_unstemmed Cooperativity to increase Turing pattern space for synthetic biology
title_sort cooperativity to increase turing pattern space for synthetic biology
publishDate 2015
url http://sedici.unlp.edu.ar/handle/10915/85822
work_keys_str_mv AT diambraluisanibal cooperativitytoincreaseturingpatternspaceforsyntheticbiology
AT senthivelvivekraj cooperativitytoincreaseturingpatternspaceforsyntheticbiology
AT barcenamenendezdiego cooperativitytoincreaseturingpatternspaceforsyntheticbiology
AT isalanmark cooperativitytoincreaseturingpatternspaceforsyntheticbiology
bdutipo_str Repositorios
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