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Autocatalytic base editing for RNA-responsive translational control
Genetic circuits that control transgene expression in response to pre-defined transcriptional cues would enable the development of smart therapeutics. To this end, here we engineer programmable single-transcript RNA sensors in which adenosine deaminases acting on RNA (ADARs) autocatalytically conver...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10008589/ https://www.ncbi.nlm.nih.gov/pubmed/36906659 http://dx.doi.org/10.1038/s41467-023-36851-z |
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author | Gayet, Raphaël V. Ilia, Katherine Razavi, Shiva Tippens, Nathaniel D. Lalwani, Makoto A. Zhang, Kehan Chen, Jack X. Chen, Jonathan C. Vargas-Asencio, Jose Collins, James J. |
author_facet | Gayet, Raphaël V. Ilia, Katherine Razavi, Shiva Tippens, Nathaniel D. Lalwani, Makoto A. Zhang, Kehan Chen, Jack X. Chen, Jonathan C. Vargas-Asencio, Jose Collins, James J. |
author_sort | Gayet, Raphaël V. |
collection | PubMed |
description | Genetic circuits that control transgene expression in response to pre-defined transcriptional cues would enable the development of smart therapeutics. To this end, here we engineer programmable single-transcript RNA sensors in which adenosine deaminases acting on RNA (ADARs) autocatalytically convert target hybridization into a translational output. Dubbed DART VADAR (Detection and Amplification of RNA Triggers via ADAR), our system amplifies the signal from editing by endogenous ADAR through a positive feedback loop. Amplification is mediated by the expression of a hyperactive, minimal ADAR variant and its recruitment to the edit site via an orthogonal RNA targeting mechanism. This topology confers high dynamic range, low background, minimal off-target effects, and a small genetic footprint. We leverage DART VADAR to detect single nucleotide polymorphisms and modulate translation in response to endogenous transcript levels in mammalian cells. |
format | Online Article Text |
id | pubmed-10008589 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-100085892023-03-13 Autocatalytic base editing for RNA-responsive translational control Gayet, Raphaël V. Ilia, Katherine Razavi, Shiva Tippens, Nathaniel D. Lalwani, Makoto A. Zhang, Kehan Chen, Jack X. Chen, Jonathan C. Vargas-Asencio, Jose Collins, James J. Nat Commun Article Genetic circuits that control transgene expression in response to pre-defined transcriptional cues would enable the development of smart therapeutics. To this end, here we engineer programmable single-transcript RNA sensors in which adenosine deaminases acting on RNA (ADARs) autocatalytically convert target hybridization into a translational output. Dubbed DART VADAR (Detection and Amplification of RNA Triggers via ADAR), our system amplifies the signal from editing by endogenous ADAR through a positive feedback loop. Amplification is mediated by the expression of a hyperactive, minimal ADAR variant and its recruitment to the edit site via an orthogonal RNA targeting mechanism. This topology confers high dynamic range, low background, minimal off-target effects, and a small genetic footprint. We leverage DART VADAR to detect single nucleotide polymorphisms and modulate translation in response to endogenous transcript levels in mammalian cells. Nature Publishing Group UK 2023-03-11 /pmc/articles/PMC10008589/ /pubmed/36906659 http://dx.doi.org/10.1038/s41467-023-36851-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Gayet, Raphaël V. Ilia, Katherine Razavi, Shiva Tippens, Nathaniel D. Lalwani, Makoto A. Zhang, Kehan Chen, Jack X. Chen, Jonathan C. Vargas-Asencio, Jose Collins, James J. Autocatalytic base editing for RNA-responsive translational control |
title | Autocatalytic base editing for RNA-responsive translational control |
title_full | Autocatalytic base editing for RNA-responsive translational control |
title_fullStr | Autocatalytic base editing for RNA-responsive translational control |
title_full_unstemmed | Autocatalytic base editing for RNA-responsive translational control |
title_short | Autocatalytic base editing for RNA-responsive translational control |
title_sort | autocatalytic base editing for rna-responsive translational control |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10008589/ https://www.ncbi.nlm.nih.gov/pubmed/36906659 http://dx.doi.org/10.1038/s41467-023-36851-z |
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