SiMPl-GS: Advancing cell line development via synthetic selection marker for next-generation biopharmaceutical production

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dc.contributor.authorC Yoon-
dc.contributor.authorEun Ji Lee-
dc.contributor.authorD Kim-
dc.contributor.authorS Joung-
dc.contributor.authorY Kim-
dc.contributor.authorHeungchae Jung-
dc.contributor.authorYeon-Gu Kim-
dc.contributor.authorG M Lee-
dc.date.accessioned2024-10-21T16:33:17Z-
dc.date.available2024-10-21T16:33:17Z-
dc.date.issued2024-
dc.identifier.issn2198-3844-
dc.identifier.urihttps://oak.kribb.re.kr/handle/201005/36196-
dc.description.abstractRapid and efficient cell line development (CLD) process is essential to expedite therapeutic protein development. However, the performance of widely used glutamine-based selection systems is limited by low selection efficiency, stringency, and the inability to select multiple genes. Therefore, an AND-gate synthetic selection system is rationally designed using split intein-mediated protein ligation of glutamine synthetase (GS) (SiMPl-GS). Split sites of the GS are selected using a computational approach and validated with GS-knockout Chinese hamster ovary cells for their potential to enable cell survival in a glutamine-free medium. In CLD, SiMPl-GS outperforms the wild-type GS by selectively enriching high producers. Unlike wild-type GS, SiMPl-GS results in cell pools in which most cells produce high levels of therapeutic proteins. Harnessing orthogonal split intein pairs further enables the selection of four plasmids with a single selection, streamlining multispecific antibody-producing CLD. Taken together, SiMPl-GS is a simple yet effective means to expedite CLD for therapeutic protein production.-
dc.publisherWiley-
dc.titleSiMPl-GS: Advancing cell line development via synthetic selection marker for next-generation biopharmaceutical production-
dc.title.alternativeSiMPl-GS: Advancing cell line development via synthetic selection marker for next-generation biopharmaceutical production-
dc.typeArticle-
dc.citation.titleAdvanced Science-
dc.citation.number38-
dc.citation.endPage2405593-
dc.citation.startPage2405593-
dc.citation.volume11-
dc.contributor.affiliatedAuthorEun Ji Lee-
dc.contributor.affiliatedAuthorHeungchae Jung-
dc.contributor.affiliatedAuthorYeon-Gu Kim-
dc.contributor.alternativeName윤찬식-
dc.contributor.alternativeName이은지-
dc.contributor.alternativeName김동일-
dc.contributor.alternativeName정시연-
dc.contributor.alternativeName김유진-
dc.contributor.alternativeName정흥채-
dc.contributor.alternativeName김연구-
dc.contributor.alternativeName이균민-
dc.identifier.bibliographicCitationAdvanced Science, vol. 11, no. 38, pp. 2405593-2405593-
dc.identifier.doi10.1002/advs.202405593-
dc.description.journalClassY-
Appears in Collections:
Korea Biofoundry > 1. Journal Articles
Division of A.I. & Biomedical Research > Biotherapeutics Translational Research Center > 1. Journal Articles
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