Trumpet is an operating system for simple and robust cell-free biocomputing

Judee A. Sharon, Chelsea Dasrath, Aiden Fujiwara, Alessandro Snyder, Mace Blank, Sam O’Brien, Lauren M. Aufdembrink, Aaron E. Engelhart and Katarzyna P. Adamala ()
Additional contact information
Judee A. Sharon: University of Minnesota, Twin Cities
Chelsea Dasrath: University of Minnesota, Twin Cities
Aiden Fujiwara: University of Minnesota, Twin Cities
Alessandro Snyder: University of Minnesota, Twin Cities
Mace Blank: University of Minnesota, Twin Cities
Sam O’Brien: University of Minnesota, Twin Cities
Lauren M. Aufdembrink: University of Minnesota, Twin Cities
Aaron E. Engelhart: University of Minnesota, Twin Cities
Katarzyna P. Adamala: University of Minnesota, Twin Cities

Nature Communications, 2023, vol. 14, issue 1, 1-12

Abstract: Abstract Biological computation is becoming a viable and fast-growing alternative to traditional electronic computing. Here we present a biocomputing technology called Trumpet: Transcriptional RNA Universal Multi-Purpose GatE PlaTform. Trumpet combines the simplicity and robustness of the simplest in vitro biocomputing methods, adding signal amplification and programmability, while avoiding common shortcomings of live cell-based biocomputing solutions. We have demonstrated the use of Trumpet to build all universal Boolean logic gates. We have also built a web-based platform for designing Trumpet gates and created a primitive processor by networking several gates as a proof-of-principle for future development. The Trumpet offers a change of paradigm in biocomputing, providing an efficient and easily programmable biological logic gate operating system.

Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-023-37752-x Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-37752-x

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-023-37752-x

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().