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指导生物治疗药物生物过程工程的分析方法进展。

Advances in analytical methodologies to guide bioprocess engineering for bio-therapeutics.

作者信息

Saldova Radka, Kilcoyne Michelle, Stöckmann Henning, Millán Martín Silvia, Lewis Amanda M, Tuite Catherine M E, Gerlach Jared Q, Le Berre Marie, Borys Michael C, Li Zheng Jian, Abu-Absi Nicholas R, Leister Kirk, Joshi Lokesh, Rudd Pauline M

机构信息

NIBRT GlycoScience Group, The National Institute for Bioprocessing Research and Training, Fosters Avenue, Mount Merrion, Blackrock, Dublin 4, Ireland.

Glycoscience Group, National Centre for Biomedical Engineering Science, National University of Ireland Galway, Galway, Ireland; Microbiology, School of Natural Sciences, National University of Ireland Galway, Galway, Ireland.

出版信息

Methods. 2017 Mar 1;116:63-83. doi: 10.1016/j.ymeth.2016.11.002. Epub 2016 Nov 8.

Abstract

This study was performed to monitor the glycoform distribution of a recombinant antibody fusion protein expressed in CHO cells over the course of fed-batch bioreactor runs using high-throughput methods to accurately determine the glycosylation status of the cell culture and its product. Three different bioreactors running similar conditions were analysed at the same five time-points using the advanced methods described here. N-glycans from cell and secreted glycoproteins from CHO cells were analysed by HILIC-UPLC and MS, and the total glycosylation (both N- and O-linked glycans) secreted from the CHO cells were analysed by lectin microarrays. Cell glycoproteins contained mostly high mannose type N-linked glycans with some complex glycans; sialic acid was α-(2,3)-linked, galactose β-(1,4)-linked, with core fucose. Glycans attached to secreted glycoproteins were mostly complex with sialic acid α-(2,3)-linked, galactose β-(1,4)-linked, with mostly core fucose. There were no significant differences noted among the bioreactors in either the cell pellets or supernatants using the HILIC-UPLC method and only minor differences at the early time-points of days 1 and 3 by the lectin microarray method. In comparing different time-points, significant decreases in sialylation and branching with time were observed for glycans attached to both cell and secreted glycoproteins. Additionally, there was a significant decrease over time in high mannose type N-glycans from the cell glycoproteins. A combination of the complementary methods HILIC-UPLC and lectin microarrays could provide a powerful and rapid HTP profiling tool capable of yielding qualitative and quantitative data for a defined biopharmaceutical process, which would allow valuable near 'real-time' monitoring of the biopharmaceutical product.

摘要

本研究旨在通过高通量方法监测在补料分批生物反应器运行过程中CHO细胞表达的重组抗体融合蛋白的糖型分布,以准确确定细胞培养物及其产物的糖基化状态。使用此处所述的先进方法,在相同的五个时间点对运行相似条件的三个不同生物反应器进行了分析。通过亲水相互作用液相色谱-超高效液相色谱(HILIC-UPLC)和质谱分析了CHO细胞的细胞和分泌糖蛋白中的N-聚糖,并通过凝集素微阵列分析了CHO细胞分泌的总糖基化(N-和O-连接聚糖)。细胞糖蛋白大多含有高甘露糖型N-连接聚糖以及一些复杂聚糖;唾液酸为α-(2,3)-连接,半乳糖为β-(1,4)-连接,并带有核心岩藻糖。附着在分泌糖蛋白上的聚糖大多为复杂型,唾液酸为α-(2,3)-连接,半乳糖为β-(1,4)-连接,大多带有核心岩藻糖。使用HILIC-UPLC方法在生物反应器的细胞沉淀或上清液中未观察到显著差异,而通过凝集素微阵列方法在第1天和第3天的早期时间点仅观察到微小差异。在比较不同时间点时,观察到附着在细胞和分泌糖蛋白上的聚糖的唾液酸化和分支随时间显著降低。此外,细胞糖蛋白中的高甘露糖型N-聚糖随时间显著减少。亲水相互作用液相色谱-超高效液相色谱(HILIC-UPLC)和凝集素微阵列这两种互补方法的结合可以提供一种强大且快速的高通量分析工具,能够为特定的生物制药过程生成定性和定量数据,从而实现对生物制药产品有价值的近“实时”监测。

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