单元格排序
中国仓鼠卵巢细胞
生物制药
选择(遗传算法)
细胞
细胞培养
生物
计算生物学
分类
克隆(Java方法)
基因
分子生物学
细胞生物学
遗传学
计算机科学
人工智能
程序设计语言
作者
Clair Gallagher,Paul S. Kelly
出处
期刊:Methods in molecular biology
日期:2017-01-01
卷期号:: 143-152
被引量:12
标识
DOI:10.1007/978-1-4939-6972-2_9
摘要
Cell line development aims to generate and select clones with desirable characteristics. One of the most important parameters for biopharmaceutical cell selection is cell-specific productivity (Qp) or the quantity of product produced per cell per day. Fluorescence-activated cell sorting (FACS) is a powerful, high-throughput technique that facilitates multiparametric characterization and isolation of individual cell clones from heterogeneous populations. Here, we describe a FACS-based method for section of high-producing CHO cell clones.
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