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De novo design of programmable inducible promoters
Ligand-responsive allosteric transcription factors (aTF) play a vital role in genetic circuits and high-throughput screening because they transduce biochemical signals into gene expression changes. Programmable control of gene expression from aTF-regulated promoter is important because different dow...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6821364/ https://www.ncbi.nlm.nih.gov/pubmed/31552424 http://dx.doi.org/10.1093/nar/gkz772 |
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author | Liu, Xiangyang Gupta, Sanjan T P Bhimsaria, Devesh Reed, Jennifer L Rodríguez-Martínez, José A Ansari, Aseem Z Raman, Srivatsan |
author_facet | Liu, Xiangyang Gupta, Sanjan T P Bhimsaria, Devesh Reed, Jennifer L Rodríguez-Martínez, José A Ansari, Aseem Z Raman, Srivatsan |
author_sort | Liu, Xiangyang |
collection | PubMed |
description | Ligand-responsive allosteric transcription factors (aTF) play a vital role in genetic circuits and high-throughput screening because they transduce biochemical signals into gene expression changes. Programmable control of gene expression from aTF-regulated promoter is important because different downstream effector genes function optimally at different expression levels. However, tuning gene expression of native promoters is difficult due to complex layers of homeostatic regulation encoded within them. We engineered synthetic promoters de novo by embedding operator sites with varying affinities and radically reshaped binding preferences within a minimal, constitutive Escherichia coli promoter. Multiplexed cell-based screening of promoters for three TetR-like aTFs generated with this approach gave rich diversity of gene expression levels, dynamic ranges and ligand sensitivities and were 50- to 100-fold more active over their respective native promoters. Machine learning on our dataset revealed that relative position of the core motif and bases flanking the core motif play an important role in modulating induction response. Our generalized approach yields customizable and programmable aTF-regulated promoters for engineering cellular pathways and enables the discovery of new small molecule biosensors. |
format | Online Article Text |
id | pubmed-6821364 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-68213642019-11-04 De novo design of programmable inducible promoters Liu, Xiangyang Gupta, Sanjan T P Bhimsaria, Devesh Reed, Jennifer L Rodríguez-Martínez, José A Ansari, Aseem Z Raman, Srivatsan Nucleic Acids Res Synthetic Biology and Bioengineering Ligand-responsive allosteric transcription factors (aTF) play a vital role in genetic circuits and high-throughput screening because they transduce biochemical signals into gene expression changes. Programmable control of gene expression from aTF-regulated promoter is important because different downstream effector genes function optimally at different expression levels. However, tuning gene expression of native promoters is difficult due to complex layers of homeostatic regulation encoded within them. We engineered synthetic promoters de novo by embedding operator sites with varying affinities and radically reshaped binding preferences within a minimal, constitutive Escherichia coli promoter. Multiplexed cell-based screening of promoters for three TetR-like aTFs generated with this approach gave rich diversity of gene expression levels, dynamic ranges and ligand sensitivities and were 50- to 100-fold more active over their respective native promoters. Machine learning on our dataset revealed that relative position of the core motif and bases flanking the core motif play an important role in modulating induction response. Our generalized approach yields customizable and programmable aTF-regulated promoters for engineering cellular pathways and enables the discovery of new small molecule biosensors. Oxford University Press 2019-11-04 2019-09-25 /pmc/articles/PMC6821364/ /pubmed/31552424 http://dx.doi.org/10.1093/nar/gkz772 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://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 Liu, Xiangyang Gupta, Sanjan T P Bhimsaria, Devesh Reed, Jennifer L Rodríguez-Martínez, José A Ansari, Aseem Z Raman, Srivatsan De novo design of programmable inducible promoters |
title |
De novo design of programmable inducible promoters |
title_full |
De novo design of programmable inducible promoters |
title_fullStr |
De novo design of programmable inducible promoters |
title_full_unstemmed |
De novo design of programmable inducible promoters |
title_short |
De novo design of programmable inducible promoters |
title_sort | de novo design of programmable inducible promoters |
topic | Synthetic Biology and Bioengineering |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6821364/ https://www.ncbi.nlm.nih.gov/pubmed/31552424 http://dx.doi.org/10.1093/nar/gkz772 |
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