Supplementary data on Eterna-designed superfolder ribosomes

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Abstract/Contents

Abstract
Functional design of ribosomes with mutant ribosomal RNA (rRNA) could expand opportunities for understanding molecular translation, building cells from the bottom-up, and engineering ribosomes with altered capabilities. However, such efforts have been hampered by cell viability constraints, an enormous combinatorial design space, and limitations on large-scale, 3D design of RNA structures and functions. To address these challenges, we developed an integrated community science and experimental screening approach for rational design of ribosomes. This approach couples Eterna, an online video game that crowdsources RNA sequence design to community scientists in multiple design-build-test-learn cycles. We applied our framework to discover mutant rRNA sequences that improve protein synthesis in vitro and cell growth in vivo, relative to wild type ribosomes, under diverse environmental conditions. This work provides new insights into ribosome rRNA sequence-function relationships and has implications for synthetic biology.

Description

Type of resource Dataset, still image
Date modified July 31, 2022; August 2, 2022; November 28, 2022; November 28, 2022; December 13, 2022
Publication date March 17, 2022

Creators/Contributors

Author Kruger, Antje
Author Watkins, Andrew
Author Wellington-Oguri, Roger
Author Romano, Jonathan
Author Kofman, Camila
Author DeFoe, Alysse
Author Kim, Yejun
Author Anderson-Lee, Jeff
Author Fisker, Eli
Author Townley, Jill
Author D'Aquino, Anne
Author Das, Rhiju
Author Jewett, Michael

Subjects

Subject Synthetic biology
Subject RNA design
Subject citizen science
Genre Data
Genre Database
Genre Image
Genre Data sets
Genre Dataset
Genre Databases

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User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
License
This work is licensed under a Creative Commons Attribution 4.0 International license (CC BY).

Preferred citation

Preferred citation
Kruger, A., Watkins, A., Wellington-Oguri, R., Romano, J., Kofman, C., DeFoe, A., Kim, Y., Anderson-Lee, J., Fisker, E., Townley, J., D'Aquino, A., Das, R., and Jewett, M. (2022). Supplementary data on Eterna-designed superfolder ribosomes. Stanford Digital Repository. Available at https://purl.stanford.edu/hp267yt1382

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