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Applications and Tuning Strategies for Transcription Factor-Based Metabolite Biosensors

Transcription factor (TF)-based biosensors are widely used for the detection of metabolites and the regulation of cellular pathways in response to metabolites. Several challenges hinder the direct application of TF-based sensors to new hosts or metabolic pathways, which often requires extensive tuni...

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Detalles Bibliográficos
Autores principales: Zhou, Gloria J., Zhang, Fuzhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10136082/
https://www.ncbi.nlm.nih.gov/pubmed/37185503
http://dx.doi.org/10.3390/bios13040428
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author Zhou, Gloria J.
Zhang, Fuzhong
author_facet Zhou, Gloria J.
Zhang, Fuzhong
author_sort Zhou, Gloria J.
collection PubMed
description Transcription factor (TF)-based biosensors are widely used for the detection of metabolites and the regulation of cellular pathways in response to metabolites. Several challenges hinder the direct application of TF-based sensors to new hosts or metabolic pathways, which often requires extensive tuning to achieve the optimal performance. These tuning strategies can involve transcriptional or translational control depending on the parameter of interest. In this review, we highlight recent strategies for engineering TF-based biosensors to obtain the desired performance and discuss additional design considerations that may influence a biosensor’s performance. We also examine applications of these sensors and suggest important areas for further work to continue the advancement of small-molecule biosensors.
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spelling pubmed-101360822023-04-28 Applications and Tuning Strategies for Transcription Factor-Based Metabolite Biosensors Zhou, Gloria J. Zhang, Fuzhong Biosensors (Basel) Review Transcription factor (TF)-based biosensors are widely used for the detection of metabolites and the regulation of cellular pathways in response to metabolites. Several challenges hinder the direct application of TF-based sensors to new hosts or metabolic pathways, which often requires extensive tuning to achieve the optimal performance. These tuning strategies can involve transcriptional or translational control depending on the parameter of interest. In this review, we highlight recent strategies for engineering TF-based biosensors to obtain the desired performance and discuss additional design considerations that may influence a biosensor’s performance. We also examine applications of these sensors and suggest important areas for further work to continue the advancement of small-molecule biosensors. MDPI 2023-03-28 /pmc/articles/PMC10136082/ /pubmed/37185503 http://dx.doi.org/10.3390/bios13040428 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Zhou, Gloria J.
Zhang, Fuzhong
Applications and Tuning Strategies for Transcription Factor-Based Metabolite Biosensors
title Applications and Tuning Strategies for Transcription Factor-Based Metabolite Biosensors
title_full Applications and Tuning Strategies for Transcription Factor-Based Metabolite Biosensors
title_fullStr Applications and Tuning Strategies for Transcription Factor-Based Metabolite Biosensors
title_full_unstemmed Applications and Tuning Strategies for Transcription Factor-Based Metabolite Biosensors
title_short Applications and Tuning Strategies for Transcription Factor-Based Metabolite Biosensors
title_sort applications and tuning strategies for transcription factor-based metabolite biosensors
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10136082/
https://www.ncbi.nlm.nih.gov/pubmed/37185503
http://dx.doi.org/10.3390/bios13040428
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