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Biological signal processing filters via engineering allosteric transcription factors
Signal processing is critical to a myriad of biological phenomena (natural and engineered) that involve gene regulation. Biological signal processing can be achieved by way of allosteric transcription factors. In canonical regulatory systems (e.g., the lactose repressor), an INPUT signal results in...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8609624/ https://www.ncbi.nlm.nih.gov/pubmed/34772815 http://dx.doi.org/10.1073/pnas.2111450118 |
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author | Groseclose, Thomas M. Hersey, Ashley N. Huang, Brian D. Realff, Matthew J. Wilson, Corey J. |
author_facet | Groseclose, Thomas M. Hersey, Ashley N. Huang, Brian D. Realff, Matthew J. Wilson, Corey J. |
author_sort | Groseclose, Thomas M. |
collection | PubMed |
description | Signal processing is critical to a myriad of biological phenomena (natural and engineered) that involve gene regulation. Biological signal processing can be achieved by way of allosteric transcription factors. In canonical regulatory systems (e.g., the lactose repressor), an INPUT signal results in the induction of a given transcription factor and objectively switches gene expression from an OFF state to an ON state. In such biological systems, to revert the gene expression back to the OFF state requires the aggressive dilution of the input signal, which can take 1 or more d to achieve in a typical biotic system. In this study, we present a class of engineered allosteric transcription factors capable of processing two-signal INPUTS, such that a sequence of INPUTS can rapidly transition gene expression between alternating OFF and ON states. Here, we present two fundamental biological signal processing filters, BANDPASS and BANDSTOP, that are regulated by D-fucose and isopropyl-β-D-1-thiogalactopyranoside. BANDPASS signal processing filters facilitate OFF–ON–OFF gene regulation. Whereas, BANDSTOP filters facilitate the antithetical gene regulation, ON–OFF–ON. Engineered signal processing filters can be directed to seven orthogonal promoters via adaptive modular DNA binding design. This collection of signal processing filters can be used in collaboration with our established transcriptional programming structure. Kinetic studies show that our collection of signal processing filters can switch between states of gene expression within a few minutes with minimal metabolic burden—representing a paradigm shift in general gene regulation. |
format | Online Article Text |
id | pubmed-8609624 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-86096242021-12-06 Biological signal processing filters via engineering allosteric transcription factors Groseclose, Thomas M. Hersey, Ashley N. Huang, Brian D. Realff, Matthew J. Wilson, Corey J. Proc Natl Acad Sci U S A Biological Sciences Signal processing is critical to a myriad of biological phenomena (natural and engineered) that involve gene regulation. Biological signal processing can be achieved by way of allosteric transcription factors. In canonical regulatory systems (e.g., the lactose repressor), an INPUT signal results in the induction of a given transcription factor and objectively switches gene expression from an OFF state to an ON state. In such biological systems, to revert the gene expression back to the OFF state requires the aggressive dilution of the input signal, which can take 1 or more d to achieve in a typical biotic system. In this study, we present a class of engineered allosteric transcription factors capable of processing two-signal INPUTS, such that a sequence of INPUTS can rapidly transition gene expression between alternating OFF and ON states. Here, we present two fundamental biological signal processing filters, BANDPASS and BANDSTOP, that are regulated by D-fucose and isopropyl-β-D-1-thiogalactopyranoside. BANDPASS signal processing filters facilitate OFF–ON–OFF gene regulation. Whereas, BANDSTOP filters facilitate the antithetical gene regulation, ON–OFF–ON. Engineered signal processing filters can be directed to seven orthogonal promoters via adaptive modular DNA binding design. This collection of signal processing filters can be used in collaboration with our established transcriptional programming structure. Kinetic studies show that our collection of signal processing filters can switch between states of gene expression within a few minutes with minimal metabolic burden—representing a paradigm shift in general gene regulation. National Academy of Sciences 2021-11-12 2021-11-16 /pmc/articles/PMC8609624/ /pubmed/34772815 http://dx.doi.org/10.1073/pnas.2111450118 Text en Copyright © 2021 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Biological Sciences Groseclose, Thomas M. Hersey, Ashley N. Huang, Brian D. Realff, Matthew J. Wilson, Corey J. Biological signal processing filters via engineering allosteric transcription factors |
title | Biological signal processing filters via engineering allosteric transcription factors |
title_full | Biological signal processing filters via engineering allosteric transcription factors |
title_fullStr | Biological signal processing filters via engineering allosteric transcription factors |
title_full_unstemmed | Biological signal processing filters via engineering allosteric transcription factors |
title_short | Biological signal processing filters via engineering allosteric transcription factors |
title_sort | biological signal processing filters via engineering allosteric transcription factors |
topic | Biological Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8609624/ https://www.ncbi.nlm.nih.gov/pubmed/34772815 http://dx.doi.org/10.1073/pnas.2111450118 |
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