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Incoherent merger network for robust ratiometric gene expression response

A ratiometric response gives an output that is proportional to the ratio between the magnitudes of two inputs. Ratio computation has been observed in nature and is also needed in the development of smart probiotics and organoids. Here, we achieve ratiometric gene expression response in bacteria Esch...

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Autores principales: Kwon, Ukjin, Huang, Hsin-Ho, Chávez, Jorge L, Beabout, Kathryn, Harbaugh, Svetlana, Del Vecchio, Domitilla
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10085686/
https://www.ncbi.nlm.nih.gov/pubmed/36840726
http://dx.doi.org/10.1093/nar/gkad087
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author Kwon, Ukjin
Huang, Hsin-Ho
Chávez, Jorge L
Beabout, Kathryn
Harbaugh, Svetlana
Del Vecchio, Domitilla
author_facet Kwon, Ukjin
Huang, Hsin-Ho
Chávez, Jorge L
Beabout, Kathryn
Harbaugh, Svetlana
Del Vecchio, Domitilla
author_sort Kwon, Ukjin
collection PubMed
description A ratiometric response gives an output that is proportional to the ratio between the magnitudes of two inputs. Ratio computation has been observed in nature and is also needed in the development of smart probiotics and organoids. Here, we achieve ratiometric gene expression response in bacteria Escherichia coli with the incoherent merger network. In this network, one input molecule activates expression of the output protein while the other molecule activates an intermediate protein that enhances the output’s degradation. When degradation rate is first order and faster than dilution, the output responds linearly to the ratio between the input molecules’ levels over a wide range with R(2) close to 1. Response sensitivity can be quantitatively tuned by varying the output’s translation rate. Furthermore, ratiometric responses are robust to global perturbations in cellular components that influence gene expression because such perturbations affect the output through an incoherent feedforward loop. This work demonstrates a new molecular signal processing mechanism for multiplexed sense-and-respond circuits that are robust to intra-cellular context.
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spelling pubmed-100856862023-04-11 Incoherent merger network for robust ratiometric gene expression response Kwon, Ukjin Huang, Hsin-Ho Chávez, Jorge L Beabout, Kathryn Harbaugh, Svetlana Del Vecchio, Domitilla Nucleic Acids Res Synthetic Biology and Bioengineering A ratiometric response gives an output that is proportional to the ratio between the magnitudes of two inputs. Ratio computation has been observed in nature and is also needed in the development of smart probiotics and organoids. Here, we achieve ratiometric gene expression response in bacteria Escherichia coli with the incoherent merger network. In this network, one input molecule activates expression of the output protein while the other molecule activates an intermediate protein that enhances the output’s degradation. When degradation rate is first order and faster than dilution, the output responds linearly to the ratio between the input molecules’ levels over a wide range with R(2) close to 1. Response sensitivity can be quantitatively tuned by varying the output’s translation rate. Furthermore, ratiometric responses are robust to global perturbations in cellular components that influence gene expression because such perturbations affect the output through an incoherent feedforward loop. This work demonstrates a new molecular signal processing mechanism for multiplexed sense-and-respond circuits that are robust to intra-cellular context. Oxford University Press 2023-02-25 /pmc/articles/PMC10085686/ /pubmed/36840726 http://dx.doi.org/10.1093/nar/gkad087 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Synthetic Biology and Bioengineering
Kwon, Ukjin
Huang, Hsin-Ho
Chávez, Jorge L
Beabout, Kathryn
Harbaugh, Svetlana
Del Vecchio, Domitilla
Incoherent merger network for robust ratiometric gene expression response
title Incoherent merger network for robust ratiometric gene expression response
title_full Incoherent merger network for robust ratiometric gene expression response
title_fullStr Incoherent merger network for robust ratiometric gene expression response
title_full_unstemmed Incoherent merger network for robust ratiometric gene expression response
title_short Incoherent merger network for robust ratiometric gene expression response
title_sort incoherent merger network for robust ratiometric gene expression response
topic Synthetic Biology and Bioengineering
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10085686/
https://www.ncbi.nlm.nih.gov/pubmed/36840726
http://dx.doi.org/10.1093/nar/gkad087
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