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dc.contributor.authorFoight, Glenna Wink-
dc.contributor.authorWang, Zhizhi-
dc.contributor.authorWei, Cindy T.-
dc.contributor.authorGreisen, Per, Jr.-
dc.contributor.authorWarner, Katrina M.-
dc.contributor.authorCunningham-Bryant, Daniel-
dc.contributor.authorPark, Keunwan-
dc.contributor.authorBrunette, T. J.-
dc.contributor.authorSheffler, William-
dc.contributor.authorBaker, David-
dc.contributor.authorMaly, Dustin J.-
dc.date.accessioned2024-01-19T19:03:39Z-
dc.date.available2024-01-19T19:03:39Z-
dc.date.created2021-09-04-
dc.date.issued2019-10-
dc.identifier.issn1087-0156-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/119529-
dc.description.abstractChemical and optogenetic methods for post-translationally controlling protein function have enabled modulation and engineering of cellular functions. However, most of these methods only confer single-input, single-output control. To increase the diversity of post-translational behaviors that can be programmed, we built a system based on a single protein receiver that can integrate multiple drug inputs, including approved therapeutics. Our system translates drug inputs into diverse outputs using a suite of engineered reader proteins to provide variable dimerization states of the receiver protein. We show that our single receiver protein architecture can be used to program a variety of cellular responses, including graded and proportional dual-output control of transcription and mammalian cell signaling. We apply our tools to titrate the competing activities of the Rac and Rho GTPases to control cell morphology. Our versatile tool set will enable researchers to post-translationally program mammalian cellular processes and to engineer cell therapies.-
dc.languageEnglish-
dc.publisherNATURE PUBLISHING GROUP-
dc.subjectCOMPUTATIONAL DESIGN-
dc.subjectSPECIFICITY-
dc.subjectMODULATION-
dc.subjectRESISTANCE-
dc.subjectINHIBITORS-
dc.subjectCIRCUITS-
dc.subjectSOFTWARE-
dc.subjectAFFINITY-
dc.subjectLIGANDS-
dc.subjectCRISPR-
dc.titleMulti-input chemical control of protein dimerization for programming graded cellular responses-
dc.typeArticle-
dc.identifier.doi10.1038/s41587-019-0242-8-
dc.description.journalClass1-
dc.identifier.bibliographicCitationNATURE BIOTECHNOLOGY, v.37, no.10, pp.1209 - +-
dc.citation.titleNATURE BIOTECHNOLOGY-
dc.citation.volume37-
dc.citation.number10-
dc.citation.startPage1209-
dc.citation.endPage+-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.identifier.wosid000493315800022-
dc.identifier.scopusid2-s2.0-85072904177-
dc.relation.journalWebOfScienceCategoryBiotechnology & Applied Microbiology-
dc.relation.journalResearchAreaBiotechnology & Applied Microbiology-
dc.type.docTypeArticle-
dc.subject.keywordPlusCOMPUTATIONAL DESIGN-
dc.subject.keywordPlusSPECIFICITY-
dc.subject.keywordPlusMODULATION-
dc.subject.keywordPlusRESISTANCE-
dc.subject.keywordPlusINHIBITORS-
dc.subject.keywordPlusCIRCUITS-
dc.subject.keywordPlusSOFTWARE-
dc.subject.keywordPlusAFFINITY-
dc.subject.keywordPlusLIGANDS-
dc.subject.keywordPlusCRISPR-
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