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CRISPR-based gene expression control for synthetic gene circuits

Synthetic gene circuits allow us to govern cell behavior in a programmable manner, which is central to almost any application aiming to harness engineered living cells for user-defined tasks. Transcription factors (TFs) constitute the ‘classic’ tool for synthetic circuit construction but some of the...

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Detalles Bibliográficos
Autores principales: Santos-Moreno, Javier, Schaerli, Yolanda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Portland Press Ltd. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7609024/
https://www.ncbi.nlm.nih.gov/pubmed/32964920
http://dx.doi.org/10.1042/BST20200020
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author Santos-Moreno, Javier
Schaerli, Yolanda
author_facet Santos-Moreno, Javier
Schaerli, Yolanda
author_sort Santos-Moreno, Javier
collection PubMed
description Synthetic gene circuits allow us to govern cell behavior in a programmable manner, which is central to almost any application aiming to harness engineered living cells for user-defined tasks. Transcription factors (TFs) constitute the ‘classic’ tool for synthetic circuit construction but some of their inherent constraints, such as insufficient modularity, orthogonality and programmability, limit progress in such forward-engineering endeavors. Here we review how CRISPR (clustered regularly interspaced short palindromic repeats) technology offers new and powerful possibilities for synthetic circuit design. CRISPR systems offer superior characteristics over TFs in many aspects relevant to a modular, predictable and standardized circuit design. Thus, the choice of CRISPR technology as a framework for synthetic circuit design constitutes a valid alternative to complement or replace TFs in synthetic circuits and promises the realization of more ambitious designs.
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spelling pubmed-76090242020-11-06 CRISPR-based gene expression control for synthetic gene circuits Santos-Moreno, Javier Schaerli, Yolanda Biochem Soc Trans Review Articles Synthetic gene circuits allow us to govern cell behavior in a programmable manner, which is central to almost any application aiming to harness engineered living cells for user-defined tasks. Transcription factors (TFs) constitute the ‘classic’ tool for synthetic circuit construction but some of their inherent constraints, such as insufficient modularity, orthogonality and programmability, limit progress in such forward-engineering endeavors. Here we review how CRISPR (clustered regularly interspaced short palindromic repeats) technology offers new and powerful possibilities for synthetic circuit design. CRISPR systems offer superior characteristics over TFs in many aspects relevant to a modular, predictable and standardized circuit design. Thus, the choice of CRISPR technology as a framework for synthetic circuit design constitutes a valid alternative to complement or replace TFs in synthetic circuits and promises the realization of more ambitious designs. Portland Press Ltd. 2020-10-30 2020-09-23 /pmc/articles/PMC7609024/ /pubmed/32964920 http://dx.doi.org/10.1042/BST20200020 Text en © 2020 The Author(s) https://creativecommons.org/licenses/by/4.0/ This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and distributed under the Creative Commons Attribution License 4.0 (CC BY) (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Review Articles
Santos-Moreno, Javier
Schaerli, Yolanda
CRISPR-based gene expression control for synthetic gene circuits
title CRISPR-based gene expression control for synthetic gene circuits
title_full CRISPR-based gene expression control for synthetic gene circuits
title_fullStr CRISPR-based gene expression control for synthetic gene circuits
title_full_unstemmed CRISPR-based gene expression control for synthetic gene circuits
title_short CRISPR-based gene expression control for synthetic gene circuits
title_sort crispr-based gene expression control for synthetic gene circuits
topic Review Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7609024/
https://www.ncbi.nlm.nih.gov/pubmed/32964920
http://dx.doi.org/10.1042/BST20200020
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