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dc.contributor.authorChen, Ye
dc.contributor.authorZhang, Shuyi
dc.contributor.authorYoung, Eric M
dc.contributor.authorJones, Timothy S
dc.contributor.authorDensmore, Douglas
dc.contributor.authorVoigt, Christopher A
dc.date.accessioned2022-01-20T14:35:28Z
dc.date.available2021-10-27T19:53:37Z
dc.date.available2022-01-20T14:35:28Z
dc.date.issued2020-08
dc.date.submitted2020-01
dc.identifier.issn2058-5276
dc.identifier.urihttps://hdl.handle.net/1721.1/133581.2
dc.description.abstract© 2020, The Author(s), under exclusive licence to Springer Nature Limited. Cells can be programmed to monitor and react to their environment using genetic circuits. Design automation software maps a desired circuit function to a DNA sequence, a process that requires units of gene regulation (gates) that are simple to connect and behave predictably. This poses a challenge for eukaryotes due to their complex mechanisms of transcription and translation. To this end, we have developed gates for yeast (Saccharomyces cerevisiae) that are connected using RNA polymerase flux as the signal carrier and are insulated from each other and host regulation. They are based on minimal constitutive promoters (~120 base pairs), for which rules are developed to insert operators for DNA-binding proteins. Using this approach, we constructed nine NOT/NOR gates with nearly identical response functions and 400-fold dynamic range. In circuits, they are transcriptionally insulated from each other by placing ribozymes downstream of terminators to block nuclear export of messenger RNAs resulting from RNA polymerase readthrough. Based on these gates, Cello 2.0 was used to build circuits with up to 11 regulatory proteins. A simple dynamic model predicts the circuit response over days. Genetic circuit design automation for eukaryotes simplifies the construction of regulatory networks as part of cellular engineering projects, whether it be to stage processes during bioproduction, serve as environmental sentinels or guide living therapeutics.en_US
dc.language.isoen
dc.publisherSpringer Science and Business Media LLCen_US
dc.relation.isversionofhttp://dx.doi.org/10.1038/S41564-020-0757-2en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceDOE repositoryen_US
dc.titleGenetic circuit design automation for yeasten_US
dc.typeArticleen_US
dc.contributor.departmentMassachusetts Institute of Technology. Synthetic Biology Center
dc.relation.journalNature Microbiologyen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2021-09-10T16:16:22Z
dspace.orderedauthorsChen, Y; Zhang, S; Young, EM; Jones, TS; Densmore, D; Voigt, CAen_US
dspace.date.submission2021-09-10T16:16:24Z
mit.journal.volume5en_US
mit.journal.issue11en_US
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work Neededen_US


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