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Endogenous p21-Dependent Transgene Control for CHO Cell Engineering
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Publication Year
2020-07-17
Publisher
American Chemical Society
Citation
ACS Synthetic Biology, Vol.9, pp.1572-1580
Keyword
apoptosisChinese hamster ovary cellsendogenous gene taggingp21targeted integrationtransgene expression regulation
Mesh Keyword
AnimalsCell EngineeringCHO CellsCricetinaeCricetulusCyclin-Dependent Kinase Inhibitor p21Gene ExpressionGreen Fluorescent ProteinsHydroxyureaPromoter Regions, GeneticProto-Oncogene Proteins c-bcl-2Transgenes
All Science Classification Codes (ASJC)
Biomedical EngineeringBiochemistry, Genetics and Molecular Biology (miscellaneous)
Abstract
Numerous engineering efforts have been made in Chinese hamster ovary (CHO) cells for high level production of therapeutic proteins. However, the dynamic regulation of transgene expression is limited in current systems. Here, we investigated the effective regulation of transgene expression in CHO cells via targeted integration-based endogenous gene tagging with engineering target genes. Targeted integration of EGFP-human Bcl-2 into the p21 locus effectively reduced the apoptosis, compared with random populations in which Bcl-2 expression was driven by cytomegalovirus (CMV) promoter. Endogenous p21 and EGFP-human Bcl-2 displayed similar expression dynamics in batch cultures, and the antiapoptotic effect altered the expression pattern of endogenous p21 showing the mutual influences between expression of p21 and Bcl-2. We further demonstrated the inducible transgene expression by adding low concentrations of hydroxyurea. The present engineering strategy will provide a valuable CHO cell engineering tool that can be used to control dynamic transgene expression in accordance with cellular states.
ISSN
2161-5063
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/31398
DOI
https://doi.org/10.1021/acssynbio.9b00526
Fulltext

Type
Article
Funding
This work was supported by the NRF funded by the Korean government (2018R1C1B6001423 and 2019R1A6A1A11051471).
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Lee, Jae Seong Image
Lee, Jae Seong이재성
College of Bio-convergence Engineering
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