Fluorescent‐protein co‐expression to select CHO cells expressing high quantities of vaccine antigens

Author:

Ganguly Jishna1,Fu Zongming1,Marion James1,Pan Yan1,Ruano John1,Dahle Michael1,Li Xiangming1ORCID

Affiliation:

1. GSK Rockville Maryland USA

Abstract

AbstractCell line development for production of vaccine antigens or therapeutic proteins typically involves transfection, selection, and enrichment for high‐expressing cells. Enrichment methods include minipool enrichment, antibody‐based enrichment, and enrichment based on co‐expressed fluorescent biosensor proteins. However, these methods have limitations regarding labor and cost intensity, the generation of antibodies and assurance of their viral safety, and potential expression‐interference or signal‐saturation of the co‐expressed fluorescent protein. To improve the method of fluorescent‐protein co‐expression, expression constructs were created that constitutively express a model vaccine antigen together with one of three fluorescent proteins having translation initiation controlled by a wildtype or mutant internal ribosome entry site (IRES), for a total of six constructs. The constructs were transfected into Chinese hamster ovary cells (CHO) cells, enriched for high fluorescence, cultured, and tested in a mini bioreactor to identify the most promising construct. The fluorescent protein, Fluorescent Ubiquitination‐based Cell Cycle Indicator (FUCCI) with a mutant IRES performed best and was further tested with three additional vaccine antigens. Across the four vaccine antigens, the FUCCI fluorescent protein yielded productivity enhancements, without the need for generating an antibody and assuring its viral safety. Furthermore, FUCCI protein was present in negligible quantities in the cell supernatant, indicating a low risk for contaminating drug substances or vaccine antigen.

Publisher

Wiley

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3