选择(遗传算法)
生化工程
计算生物学
生产(经济)
计算机科学
分离(微生物学)
生物
生物技术
生物信息学
工程类
人工智能
宏观经济学
经济
作者
Joseph J. Priola,Nathan Calzadilla,Martina Baumann,Nicole Borth,Christopher G. Tate,Michael J. Betenbaugh
标识
DOI:10.1002/biot.201500579
摘要
The production of recombinant proteins for biotherapeutic use is a multibillion dollar industry, which has seen continual growth in recent years. In order to produce the best protein with minimal cost and time, selection methods are utilized during the cell line development process in order to select for the most desirable clonal cell line from a heterogeneous transfectant pool. Today, there is a vast array of potential selection methods available, which vary in cost, complexity and efficacy. This review aims to highlight cell line selection methods that exist for the isolation of high-producing clones, and also reviews techniques that can be used to predict, at a small scale, the performance of clones at large, industrially-relevant scales.
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