吞吐量
计算机科学
过程(计算)
块(置换群论)
表达式(计算机科学)
人工智能
蛋白质表达
比例(比率)
还原(数学)
生物
基因
数学
电信
生物化学
几何学
无线
程序设计语言
操作系统
物理
量子力学
作者
Daljit Bahia,Robert Cheung,Mirjam Buchs,Sabine Geisse,I. V. Hunt
标识
DOI:10.1016/j.pep.2004.08.020
摘要
This report describes a method to culture insects cells in 24 deep-well blocks for the routine small-scale optimisation of baculovirus-mediated protein expression experiments. Miniaturisation of this process provides the necessary reduction in terms of resource allocation, reagents, and labour to allow extensive and rapid optimisation of expression conditions, with the concomitant reduction in lead-time before commencement of large-scale bioreactor experiments. This therefore greatly simplifies the optimisation process and allows the use of liquid handling robotics in much of the initial optimisation stages of the process, thereby greatly increasing the throughput of the laboratory. We present several examples of the use of deep-well block expression studies in the optimisation of therapeutically relevant protein targets. We also discuss how the enhanced throughput offered by this approach can be adapted to robotic handling systems and the implications this has on the capacity to conduct multi-parallel protein expression studies.
科研通智能强力驱动
Strongly Powered by AbleSci AI