Crowdsourced RNA design discovers diverse, reversible, efficient, self-contained molecular switches.
Crowdsourced RNA design discovers diverse, reversible, efficient, self-contained molecular switches.
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众包RNA设计发现多样、可逆、高效、自包含的分子开关。
DOI:
10.1073/pnas.2112979119
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发表时间:
2022-05-03
影响因子:
11.1
通讯作者:
中科院分区:
文献类型:
--
作者:
Our manuscript presents a paradigm for carrying out distributed science. We have harnessed an online RNA design game, Eterna, to challenge a large community of RNA designers to create diverse RNA sensors. RNA is an attractive, biocompatible substrate for the design and implementation of molecular sensors. We tasked the diverse Eterna community, comprising a global network of molecular design enthusiasts, to submit thousands to tens of thousands of “solutions” to these RNA sensor design challenges. Crucially, community designs were synthesized and tested experimentally in the real world using high-throughput methods for biochemical assays built on repurposed DNA sequencers. The best player-generated designs for RNA sensors approached the thermodynamic optimum. 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.
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影响因子:
18.3
作者:
Deigan, Katherine E.;Ferre-D'Amare, Adrian R.
通讯作者:
Ferre-D'Amare, Adrian R.
DOI:
10.1126/science.1207339
发表时间:
2011-07-29
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Paige JS;Wu KY;Jaffrey SR
通讯作者:
Jaffrey SR
DOI:
10.1146/annurev-biodatasci-072018-021139
发表时间:
2019-01-01
期刊:
ANNUAL REVIEW OF BIOMEDICAL DATA SCIENCE, VOL 2, 2019
影响因子:
--
作者:
Das, Rhiju;Keep, Benjamin;Riedel-Kruse, Ingmar H.
通讯作者:
Riedel-Kruse, Ingmar H.
影响因子:
21.8
作者:
通讯作者:
--
影响因子:
1.8
作者:
HOFACKER, IL;FONTANA, W;SCHUSTER, P
通讯作者:
SCHUSTER, P