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Crowdsourced RNA design discovers diverse, reversible, efficient, self-contained molecular switches
Internet-based scientific communities promise a means to apply distributed, diverse human intelligence toward previously intractable scientific problems. However, current implementations have not allowed communities to propose experiments to test all emerging hypotheses at scale or to modify hypothe...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9170038/ https://www.ncbi.nlm.nih.gov/pubmed/35471911 http://dx.doi.org/10.1073/pnas.2112979119 |
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author | Andreasson, Johan O. L. Gotrik, Michael R. Wu, Michelle J. Wayment-Steele, Hannah K. Kladwang, Wipapat Portela, Fernando Wellington-Oguri, Roger Das, Rhiju Greenleaf, William J. |
author_facet | Andreasson, Johan O. L. Gotrik, Michael R. Wu, Michelle J. Wayment-Steele, Hannah K. Kladwang, Wipapat Portela, Fernando Wellington-Oguri, Roger Das, Rhiju Greenleaf, William J. |
author_sort | Andreasson, Johan O. L. |
collection | PubMed |
description | Internet-based scientific communities promise a means to apply distributed, diverse human intelligence toward previously intractable scientific problems. However, current implementations have not allowed communities to propose experiments to test all emerging hypotheses at scale or to modify hypotheses in response to experiments. We report high-throughput methods for molecular characterization of nucleic acids that enable the large-scale video game–based crowdsourcing of RNA sensor design, followed by high-throughput functional characterization. Iterative design testing of thousands of crowdsourced RNA sensor designs produced near–thermodynamically optimal and reversible RNA switches that act as self-contained molecular sensors and couple five distinct small molecule inputs to three distinct protein binding and fluorogenic outputs. This work suggests a paradigm for widely distributed experimental bioscience. |
format | Online Article Text |
id | pubmed-9170038 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-91700382022-06-07 Crowdsourced RNA design discovers diverse, reversible, efficient, self-contained molecular switches Andreasson, Johan O. L. Gotrik, Michael R. Wu, Michelle J. Wayment-Steele, Hannah K. Kladwang, Wipapat Portela, Fernando Wellington-Oguri, Roger Das, Rhiju Greenleaf, William J. Proc Natl Acad Sci U S A Biological Sciences Internet-based scientific communities promise a means to apply distributed, diverse human intelligence toward previously intractable scientific problems. However, current implementations have not allowed communities to propose experiments to test all emerging hypotheses at scale or to modify hypotheses in response to experiments. We report high-throughput methods for molecular characterization of nucleic acids that enable the large-scale video game–based crowdsourcing of RNA sensor design, followed by high-throughput functional characterization. Iterative design testing of thousands of crowdsourced RNA sensor designs produced near–thermodynamically optimal and reversible RNA switches that act as self-contained molecular sensors and couple five distinct small molecule inputs to three distinct protein binding and fluorogenic outputs. This work suggests a paradigm for widely distributed experimental bioscience. National Academy of Sciences 2022-04-26 2022-05-03 /pmc/articles/PMC9170038/ /pubmed/35471911 http://dx.doi.org/10.1073/pnas.2112979119 Text en Copyright © 2022 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by/4.0/This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY) (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Biological Sciences Andreasson, Johan O. L. Gotrik, Michael R. Wu, Michelle J. Wayment-Steele, Hannah K. Kladwang, Wipapat Portela, Fernando Wellington-Oguri, Roger Das, Rhiju Greenleaf, William J. Crowdsourced RNA design discovers diverse, reversible, efficient, self-contained molecular switches |
title | Crowdsourced RNA design discovers diverse, reversible, efficient, self-contained molecular switches |
title_full | Crowdsourced RNA design discovers diverse, reversible, efficient, self-contained molecular switches |
title_fullStr | Crowdsourced RNA design discovers diverse, reversible, efficient, self-contained molecular switches |
title_full_unstemmed | Crowdsourced RNA design discovers diverse, reversible, efficient, self-contained molecular switches |
title_short | Crowdsourced RNA design discovers diverse, reversible, efficient, self-contained molecular switches |
title_sort | crowdsourced rna design discovers diverse, reversible, efficient, self-contained molecular switches |
topic | Biological Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9170038/ https://www.ncbi.nlm.nih.gov/pubmed/35471911 http://dx.doi.org/10.1073/pnas.2112979119 |
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