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Wang W, Liu C, Zhang X, Yan J, Zhang J, You S, Su R, Qi W. Time-resolved fluoroimmunoassay for Aspergillus detection based on anti-galactomannan monoclonal antibody from stable cell line. Anal Biochem 2024; 689:115494. [PMID: 38403258 DOI: 10.1016/j.ab.2024.115494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 02/21/2024] [Accepted: 02/22/2024] [Indexed: 02/27/2024]
Abstract
Invasive Aspergillosis is a high-risk illness with a high death rate in immunocompromised people due to a lack of early detection and timely treatment. Based on immunology study, we achieved an efficient production of anti-galactomannan antibody by Chinese hamster ovary (CHO) cells and applied it to time-resolved fluoroimmunoassay for Aspergillus galactomannan detection. We first introduced dual promoter expression vector into CHO host cells, and then applied a two-step screening strategy to screen the stable cell line by methionine sulfoximine pressurization. After amplification and fermentation, antibody yield reached 4500 mg/L. Then we conjugated the antibodies with fluorescent microspheres to establish a double antibody sandwich time-resolved fluoroimmunoassay, which was compared with the commercial Platelia™ Aspergillus Ag by clinical serum samples. The preformed assay could obtain the results in less than 25 min, with a limit of detection for galactomannan of approximately 1 ng/mL. Clinical results of the two methods showed that the overall percent agreement was 97.7% (95% CI: 96.6%-98.4%) and Cohen's kappa coefficient was 0.94. Overall, the assay is highly consistent with commercial detection, providing a more sensitive and effective method for the rapid diagnosis of invasive aspergillosis.
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Affiliation(s)
- Wenjun Wang
- State Key Laboratory of Chemical Engineering, School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, PR China
| | - Chunlong Liu
- State Key Laboratory of Chemical Engineering, School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, PR China; Dynamiker Biotechnology (Tianjin) Co., Ltd, PR China
| | - Xuemei Zhang
- State Key Laboratory of Chemical Engineering, School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, PR China
| | - Jun Yan
- Dynamiker Biotechnology (Tianjin) Co., Ltd, PR China
| | - Jiaxing Zhang
- State Key Laboratory of Chemical Engineering, School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, PR China.
| | - Shengping You
- State Key Laboratory of Chemical Engineering, School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, PR China.
| | - Rongxin Su
- State Key Laboratory of Chemical Engineering, School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, PR China; Collaborative Innovation Centre of Chemical Science and Engineering (Tianjin), Tianjin, 300072, PR China; Tianjin Key Laboratory of Membrane Science and Desalination Technology, Tianjin University, Tianjin, 300072, PR China
| | - Wei Qi
- State Key Laboratory of Chemical Engineering, School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, PR China; Collaborative Innovation Centre of Chemical Science and Engineering (Tianjin), Tianjin, 300072, PR China; Tianjin Key Laboratory of Membrane Science and Desalination Technology, Tianjin University, Tianjin, 300072, PR China
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Li X, Zhang Y, Jing L, Fu Z, Ma O, Ganguly J, Vaidya N, Sisson R, Naginskaya J, Chinthala A, Cui M, Yamagata R, Wilson M, Sanders M, Wang Z, Lo Surdo P, Bugno M. Integration of high-throughput analytics and cell imaging enables direct early productivity and product quality assessment during Chinese Hamster ovary cell line development for a complex multi-subunit vaccine antigen. Biotechnol Prog 2019; 36:e2914. [PMID: 31568688 DOI: 10.1002/btpr.2914] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2019] [Revised: 08/14/2019] [Accepted: 09/11/2019] [Indexed: 12/19/2022]
Abstract
Mammalian cell line generation typically includes stable pool generation, single cell cloning and several rounds of clone selection based on cell growth, productivity and product quality criteria. Individual clone expansion and phenotype-based ranking is performed initially for hundreds or thousands of mini-scale cultures, representing the major operational challenge during cell line development. Automated cell culture and analytics systems have been developed to enable high complexity clone selection workflows; while ensuring traceability, safety, and quality of cell lines intended for biopharmaceutical applications. Here we show that comprehensive and quantitative assessment of cell growth, productivity, and product quality attributes are feasible at the 200-1,200 cell colony stage, within 14 days of the single cell cloning in static 96-well plate culture. The early cell line characterization performed prior to the clone expansion in suspension culture can be used for a single-step, direct selection of high quality clones. Such clones were comparable, both in terms of productivity and critical quality attributes (CQAs), to the top-ranked clones identified using an established iterative clone screening approach. Using a complex, multi-subunit antigen as a model protein, we observed stable CQA profiles independently of the cell culture format during the clonal expansion as well as in the batch and fed-batch processes. In conclusion, we propose an accelerated clone selection approach that can be readily incorporated into various cell line development workstreams, leading to significant reduction of the project timelines and resource requirements.
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Affiliation(s)
- Xiangming Li
- GSK, US Technical R&D, Drug Substance, Rockville, Maryland
| | - Yujian Zhang
- GSK, US Technical R&D, Drug Substance, Rockville, Maryland
| | - Li Jing
- GSK, US Technical R&D, Drug Substance, Rockville, Maryland
| | - Zongming Fu
- GSK, US Technical R&D, Analytical Research and Development, Rockville, Maryland
| | - Ou Ma
- GSK, US Technical R&D, Drug Substance, Rockville, Maryland
| | - Jishna Ganguly
- GSK, US Technical R&D, Drug Substance, Rockville, Maryland
| | - Nilesh Vaidya
- GSK, US Technical R&D, Drug Substance, Rockville, Maryland
| | - Richard Sisson
- GSK, US Technical R&D, Drug Substance, Rockville, Maryland
| | | | | | - Minggang Cui
- GSK, US Technical R&D, CMC Statistical Sciences, Rockville, Maryland
| | - Ryan Yamagata
- GSK, US Technical R&D, CMC Statistical Sciences, Rockville, Maryland
| | - Mark Wilson
- GSK, US Technical R&D, Drug Substance, Rockville, Maryland
| | | | - Zihao Wang
- GSK, US Technical R&D, Analytical Research and Development, Rockville, Maryland
| | - Paola Lo Surdo
- GSK, US Technical R&D, Drug Substance, Rockville, Maryland
| | - Marcin Bugno
- GSK, US Technical R&D, Drug Substance, Rockville, Maryland
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Liu CZ, Jiao XL, Gao DQ, Xing LB, Liu H, Luo Y, Gao YT. Real-time live-cell analysis system for screening single tumor cell clones and analyzing their colony-forming ability. Shijie Huaren Xiaohua Zazhi 2017; 25:881-890. [DOI: 10.11569/wcjd.v25.i10.881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
AIM To screen single tumor cell clones and evaluating their colony-forming ability by IncuCyte ZOOM.
METHODS Primary tumor cells were isolated by differential digestion and differential adherence method. On the basis of limited dilution, dynamic real-time tracking technology and full aperture imaging technology were used to track single cell clones and evaluate their colony-formation ability.
RESULTS Six lines of primary tumor cells (TJ3ZX-02 to 07) were isolated from 30 tumor tissues, and 89 persistently proliferative tumor cell clones were screened from five primary tumor cell lines (TJ3ZX-03 to 07), of which 67 were expanded and cryopreserved. Eighteen monoclonal cell lines were excluded due to the lack of expansion ability, and 28 polyclonal cell lines were excluded because of consisting of two or more cell types as revealed by the Sequence Diagram. The analysis of clone-forming ability of two monoclonal cell strains (TJ3ZX-06-B11, TJ3ZX-07-H11) showed that the clone-forming rates for the plate method (35.17%, 13.17%) were significantly higher than those for IncuCyte ZOOM (23.13%, 5.51%) at 14 d (P < 0.05), although there was no significant difference at 21 d (35.63% and 13.22% for IncuCyte ZOOM).
CONCLUSION IncuCyte ZOOM is simple, accurate and time-saving for screening single clones and measuring their colony-forming ability.
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Tsuruta LR, Lopes dos Santos M, Yeda FP, Okamoto OK, Moro AM. Genetic analyses of Per.C6 cell clones producing a therapeutic monoclonal antibody regarding productivity and long-term stability. Appl Microbiol Biotechnol 2016; 100:10031-10041. [DOI: 10.1007/s00253-016-7841-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2016] [Revised: 08/21/2016] [Accepted: 09/07/2016] [Indexed: 11/27/2022]
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