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Crowdsourced RNA design discovers diverse, reversible, efficient, self-contained molecular switches.

Authors :
Andreasson, Johan O. L.
Gotrik, Michael R.
Wu, Michelle J.
Wayment-Steele, Hannah K.
Kladwang, Wipapat
Portela, Fernando
Wellington-Oguri, Roger
Participants, Eterna
Das, Rhiju
Greenleaf, William J.
Source :
Proceedings of the National Academy of Sciences of the United States of America. 5/3/2022, Vol. 119 Issue 18, p1-7. 32p.
Publication Year :
2022

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00278424
Volume :
119
Issue :
18
Database :
Academic Search Index
Journal :
Proceedings of the National Academy of Sciences of the United States of America
Publication Type :
Academic Journal
Accession number :
162444969
Full Text :
https://doi.org/10.1073/pnas.2112979119