文章基本信息

标题：In Silico Cell Cycle Predictor for Mammalian Cell Culture Bioreactor Using Agent-Based Modeling Approach
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作者：Elif S. Bayrak ; Tony Wang ; Matt Jerums 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2016
卷号：49
期号：7
页码：200-205
DOI：10.1016/j.ifacol.2016.07.249
语种：English
出版社：Elsevier
摘要：An Agent-based computational modeling approach was used to develop a model to simulate individual mammalian cell behavior and its cycle regulation in response to dynamic bioreactor conditions. The model can be used as an in silico cell cycle predictor when provided with data from ongoing bioreactor runs. Rules were developed to regulate the distinct cell cycle events as well as to apply decision-making at the critical cellular checkpoints. The model was constructed and validated using different sets of experimental cell culture conditions with cell culture parameters measured using a flow cytometer and other instrumentation.
关键词：CHO cellsAgent-based modelingcell cyclemammalian cell culture