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优化分批培养杂交瘤细胞中的抗体生产。

Optimizing antibody production in batch hybridoma cell culture.

作者信息

McKinney K L, Dilwith R, Belfort G

机构信息

Howard P. Isermann Department of Chemical Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA.

出版信息

J Biotechnol. 1995 May 15;40(1):31-48. doi: 10.1016/0168-1656(95)00030-t.

Abstract

Optimizing productivity by hybridoma cells relies partly on developing suitable methods for screening and selection of high producing cultures and on understanding regulation of antibody production. In this study, the behavior of hybridoma cells in batch culture was investigated using flow cytometry, and a simple model for antibody production was used to explain production data obtained from these cultures. Surface antibody fluorescence values were found to closely follow the decreasing trend of specific antibody secretion rate over the course of several batch cultures. Therefore, for the hybridoma cell lines studied here (ATCC HB124 and TIB138), surface immunofluorescence levels can be used to select high producing cells as well as to monitor culture productivity. Surface and intracellular antibody fluorescence values were also found to be correlated for cells exhibiting a bimodal distribution with respect to intracellular antibody content. The population of cells containing a bimodal distribution with respect to intracellular antibody content. The population of cells containing lower levels of intracellular antibody was determined to secrete significantly less antibody than the population possessing high intracellular antibody concentrations. Factors which influence antibody production rates and possible strategies for optimizing monoclonal antibody yield are discussed.

摘要

通过杂交瘤细胞优化生产力部分依赖于开发合适的方法来筛选和选择高产培养物,以及理解抗体产生的调控机制。在本研究中,使用流式细胞术研究了杂交瘤细胞在分批培养中的行为,并使用一个简单的抗体产生模型来解释从这些培养物中获得的生产数据。发现在几个分批培养过程中,表面抗体荧光值紧密跟随特异性抗体分泌率的下降趋势。因此,对于这里研究的杂交瘤细胞系(美国典型培养物保藏中心HB124和TIB138),表面免疫荧光水平可用于选择高产细胞以及监测培养物的生产力。对于细胞内抗体含量呈现双峰分布的细胞,还发现表面和细胞内抗体荧光值相关。确定细胞内抗体水平较低的细胞群体分泌的抗体明显少于具有高细胞内抗体浓度的细胞群体。讨论了影响抗体产生速率的因素以及优化单克隆抗体产量的可能策略。

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