毕赤酵母
克隆(Java方法)
生物
毕赤酵母
选择(遗传算法)
计算生物学
生物技术
生产力
拉伤
吞吐量
遗传学
微尺度化学
集合(抽象数据类型)
计算机科学
基因
重组DNA
数学
人工智能
经济
数学教育
程序设计语言
宏观经济学
无线
解剖
电信
标识
DOI:10.1007/978-1-4939-9024-5_7
摘要
Clone screening procedures for Pichia pastoris expression strain comparison rely on the availability of a cultivation environment that ensures equal growth and production capabilities for all assessed transformants. As clonal variation in such experiments is caused by diverging numbers and possibly also genomic locations of integrated (linearized) expression constructs, the productivity assessment of a larger number of strains is mandatory for selecting a set of strains for follow-up bioreactor cultivations in order to define the best-producing clone. Microscale cultivation provides the means to reliably compare growth and productivity of a large number of transformants and by that narrows down the amount of selected strains for scaling up.
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