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Precise and Programmable Detection of Mutations Using Ultraspecific Riboregulators
The ability to identify single-nucleotide mutations is critical for probing cell biology and for precise detection of disease. However, the small differences in hybridization energy provided by single-base changes makes identification of these mutations challenging in living cells and complex reacti...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cell Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7063572/ https://www.ncbi.nlm.nih.gov/pubmed/32109416 http://dx.doi.org/10.1016/j.cell.2020.02.011 |
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author | Hong, Fan Ma, Duo Wu, Kaiyue Mina, Lida A. Luiten, Rebecca C. Liu, Yan Yan, Hao Green, Alexander A. |
author_facet | Hong, Fan Ma, Duo Wu, Kaiyue Mina, Lida A. Luiten, Rebecca C. Liu, Yan Yan, Hao Green, Alexander A. |
author_sort | Hong, Fan |
collection | PubMed |
description | The ability to identify single-nucleotide mutations is critical for probing cell biology and for precise detection of disease. However, the small differences in hybridization energy provided by single-base changes makes identification of these mutations challenging in living cells and complex reaction environments. Here, we report a class of de novo-designed prokaryotic riboregulators that provide ultraspecific RNA detection capabilities in vivo and in cell-free transcription-translation reactions. These single-nucleotide-specific programmable riboregulators (SNIPRs) provide over 100-fold differences in gene expression in response to target RNAs differing by a single nucleotide in E. coli and resolve single epitranscriptomic marks in vitro. By exploiting the programmable SNIPR design, we implement an automated design algorithm to develop riboregulators for a range of mutations associated with cancer, drug resistance, and genetic disorders. Integrating SNIPRs with portable paper-based cell-free reactions enables convenient isothermal detection of cancer-associated mutations from clinical samples and identification of Zika strains through unambiguous colorimetric reactions. |
format | Online Article Text |
id | pubmed-7063572 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Cell Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-70635722020-03-16 Precise and Programmable Detection of Mutations Using Ultraspecific Riboregulators Hong, Fan Ma, Duo Wu, Kaiyue Mina, Lida A. Luiten, Rebecca C. Liu, Yan Yan, Hao Green, Alexander A. Cell Article The ability to identify single-nucleotide mutations is critical for probing cell biology and for precise detection of disease. However, the small differences in hybridization energy provided by single-base changes makes identification of these mutations challenging in living cells and complex reaction environments. Here, we report a class of de novo-designed prokaryotic riboregulators that provide ultraspecific RNA detection capabilities in vivo and in cell-free transcription-translation reactions. These single-nucleotide-specific programmable riboregulators (SNIPRs) provide over 100-fold differences in gene expression in response to target RNAs differing by a single nucleotide in E. coli and resolve single epitranscriptomic marks in vitro. By exploiting the programmable SNIPR design, we implement an automated design algorithm to develop riboregulators for a range of mutations associated with cancer, drug resistance, and genetic disorders. Integrating SNIPRs with portable paper-based cell-free reactions enables convenient isothermal detection of cancer-associated mutations from clinical samples and identification of Zika strains through unambiguous colorimetric reactions. Cell Press 2020-03-05 /pmc/articles/PMC7063572/ /pubmed/32109416 http://dx.doi.org/10.1016/j.cell.2020.02.011 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Hong, Fan Ma, Duo Wu, Kaiyue Mina, Lida A. Luiten, Rebecca C. Liu, Yan Yan, Hao Green, Alexander A. Precise and Programmable Detection of Mutations Using Ultraspecific Riboregulators |
title | Precise and Programmable Detection of Mutations Using Ultraspecific Riboregulators |
title_full | Precise and Programmable Detection of Mutations Using Ultraspecific Riboregulators |
title_fullStr | Precise and Programmable Detection of Mutations Using Ultraspecific Riboregulators |
title_full_unstemmed | Precise and Programmable Detection of Mutations Using Ultraspecific Riboregulators |
title_short | Precise and Programmable Detection of Mutations Using Ultraspecific Riboregulators |
title_sort | precise and programmable detection of mutations using ultraspecific riboregulators |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7063572/ https://www.ncbi.nlm.nih.gov/pubmed/32109416 http://dx.doi.org/10.1016/j.cell.2020.02.011 |
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