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Robust network topologies for temperature-inducible bioswitches

BACKGROUND: Thermoinducible bioswitches are unique in that the all-or-none switch response is triggered by temperature, which is a global factor that impacts all biochemical reaction processes. To date, temperature-inducible bioswitches rely exclusively on special thermal sensing biomolecules of DNA...

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Detalles Bibliográficos
Autores principales: Wu, Di, Wang, Hongli, Ouyang, Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9128120/
https://www.ncbi.nlm.nih.gov/pubmed/35606858
http://dx.doi.org/10.1186/s13036-022-00290-z
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author Wu, Di
Wang, Hongli
Ouyang, Qi
author_facet Wu, Di
Wang, Hongli
Ouyang, Qi
author_sort Wu, Di
collection PubMed
description BACKGROUND: Thermoinducible bioswitches are unique in that the all-or-none switch response is triggered by temperature, which is a global factor that impacts all biochemical reaction processes. To date, temperature-inducible bioswitches rely exclusively on special thermal sensing biomolecules of DNA, RNA, proteins and lipids whose conformations are critically temperature dependent. METHOD: This paper extends the traditional thermal switch by utilizing purposely designed network topologies of biomolecular interactions to achieve the switching function. By assuming the general Arrhenius law for biochemical reactions, we explore the full space of all three-node genetic interaction networks to screen topologies capable of thermal bioswitches. Three target bioswitches, i.e., thermal-inducible Off–On, cold-inducible On–Off, and hybrid Off–On-Off double switches, are considered separately. CONCLUSIONS: We identify the minimal and core network skeletons that are basic and essential for building robust high-performance bioswitches: three Off–On motifs, three On–Off motifs, and an incoherent feedforward motif for an Off–On-Off double switch. Functional topologies are implicitly preferential in choosing parameter values to achieve the target functions. The scenario of the topology-based bioswitch we propose here is an extension of molecule-based bioswitches and would be valuable in aiding the rational design and synthesis of efficient high-performance thermal bioswitches.
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spelling pubmed-91281202022-05-25 Robust network topologies for temperature-inducible bioswitches Wu, Di Wang, Hongli Ouyang, Qi J Biol Eng Research BACKGROUND: Thermoinducible bioswitches are unique in that the all-or-none switch response is triggered by temperature, which is a global factor that impacts all biochemical reaction processes. To date, temperature-inducible bioswitches rely exclusively on special thermal sensing biomolecules of DNA, RNA, proteins and lipids whose conformations are critically temperature dependent. METHOD: This paper extends the traditional thermal switch by utilizing purposely designed network topologies of biomolecular interactions to achieve the switching function. By assuming the general Arrhenius law for biochemical reactions, we explore the full space of all three-node genetic interaction networks to screen topologies capable of thermal bioswitches. Three target bioswitches, i.e., thermal-inducible Off–On, cold-inducible On–Off, and hybrid Off–On-Off double switches, are considered separately. CONCLUSIONS: We identify the minimal and core network skeletons that are basic and essential for building robust high-performance bioswitches: three Off–On motifs, three On–Off motifs, and an incoherent feedforward motif for an Off–On-Off double switch. Functional topologies are implicitly preferential in choosing parameter values to achieve the target functions. The scenario of the topology-based bioswitch we propose here is an extension of molecule-based bioswitches and would be valuable in aiding the rational design and synthesis of efficient high-performance thermal bioswitches. BioMed Central 2022-05-23 /pmc/articles/PMC9128120/ /pubmed/35606858 http://dx.doi.org/10.1186/s13036-022-00290-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Wu, Di
Wang, Hongli
Ouyang, Qi
Robust network topologies for temperature-inducible bioswitches
title Robust network topologies for temperature-inducible bioswitches
title_full Robust network topologies for temperature-inducible bioswitches
title_fullStr Robust network topologies for temperature-inducible bioswitches
title_full_unstemmed Robust network topologies for temperature-inducible bioswitches
title_short Robust network topologies for temperature-inducible bioswitches
title_sort robust network topologies for temperature-inducible bioswitches
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9128120/
https://www.ncbi.nlm.nih.gov/pubmed/35606858
http://dx.doi.org/10.1186/s13036-022-00290-z
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