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Models for Cell-Free Synthetic Biology: Make Prototyping Easier, Better, and Faster

Cell-free TX-TL is an increasingly mature and useful platform for prototyping, testing, and engineering biological parts and systems. However, to fully accomplish the promises of synthetic biology, mathematical models are required to facilitate the design and predict the behavior of biological compo...

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Detalles Bibliográficos
Autores principales: Koch, Mathilde, Faulon, Jean-Loup, Borkowski, Olivier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6281764/
https://www.ncbi.nlm.nih.gov/pubmed/30555825
http://dx.doi.org/10.3389/fbioe.2018.00182
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author Koch, Mathilde
Faulon, Jean-Loup
Borkowski, Olivier
author_facet Koch, Mathilde
Faulon, Jean-Loup
Borkowski, Olivier
author_sort Koch, Mathilde
collection PubMed
description Cell-free TX-TL is an increasingly mature and useful platform for prototyping, testing, and engineering biological parts and systems. However, to fully accomplish the promises of synthetic biology, mathematical models are required to facilitate the design and predict the behavior of biological components in cell-free extracts. We review here the latest models accounting for transcription, translation, competition, and depletion of resources as well as genome scale models for lysate-based cell-free TX-TL systems, including their current limitations. These models will have to find ways to account for batch-to-batch variability before being quantitatively predictive in cell-free lysate-based platforms.
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spelling pubmed-62817642018-12-14 Models for Cell-Free Synthetic Biology: Make Prototyping Easier, Better, and Faster Koch, Mathilde Faulon, Jean-Loup Borkowski, Olivier Front Bioeng Biotechnol Bioengineering and Biotechnology Cell-free TX-TL is an increasingly mature and useful platform for prototyping, testing, and engineering biological parts and systems. However, to fully accomplish the promises of synthetic biology, mathematical models are required to facilitate the design and predict the behavior of biological components in cell-free extracts. We review here the latest models accounting for transcription, translation, competition, and depletion of resources as well as genome scale models for lysate-based cell-free TX-TL systems, including their current limitations. These models will have to find ways to account for batch-to-batch variability before being quantitatively predictive in cell-free lysate-based platforms. Frontiers Media S.A. 2018-11-29 /pmc/articles/PMC6281764/ /pubmed/30555825 http://dx.doi.org/10.3389/fbioe.2018.00182 Text en Copyright © 2018 Koch, Faulon and Borkowski. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Bioengineering and Biotechnology
Koch, Mathilde
Faulon, Jean-Loup
Borkowski, Olivier
Models for Cell-Free Synthetic Biology: Make Prototyping Easier, Better, and Faster
title Models for Cell-Free Synthetic Biology: Make Prototyping Easier, Better, and Faster
title_full Models for Cell-Free Synthetic Biology: Make Prototyping Easier, Better, and Faster
title_fullStr Models for Cell-Free Synthetic Biology: Make Prototyping Easier, Better, and Faster
title_full_unstemmed Models for Cell-Free Synthetic Biology: Make Prototyping Easier, Better, and Faster
title_short Models for Cell-Free Synthetic Biology: Make Prototyping Easier, Better, and Faster
title_sort models for cell-free synthetic biology: make prototyping easier, better, and faster
topic Bioengineering and Biotechnology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6281764/
https://www.ncbi.nlm.nih.gov/pubmed/30555825
http://dx.doi.org/10.3389/fbioe.2018.00182
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