In Silico Cell Cycle Predictor for Mammalian Cell Culture Bioreactor Using Agent-Based Modeling Approach

被引：5

作者：

Bayrak, Elif S. ^{[1
]}

Wang, Tony ^{[1
]}

Jerums, Matt ^{[1
]}

Coufal, Myra ^{[1
]}

Gondar, Chetan ^{[1
]}

Cinar, Ali ^{[2
]}

Undey, Cenk ^{[1
]}

机构：

[1] Amgen Inc, Proc Dev, One Amgen Ctr Dr, Thousand Oaks, CA 91320 USA

[2] IIT, Dept Chem & Biol Engn, 10W 33rd St, Chicago, IL 60616 USA

来源：

IFAC PAPERSONLINE | 2016年 / 49卷 / 07期

关键词：

CHO cells; Agent-based modeling; cell cycle; mammalian cell culture; AUTOMATED FLOW-CYTOMETRY; CHO-CELLS; TEMPERATURE; SENSITIVITY; GROWTH;

D O I：

10.1016/j.ifacol.2016.07.249

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

An Agent-based computational modeling approach was used to develop a model to simulate mammalian cell behavior and its cycle regulation in response to dynamic hioreactor conditions, model can be used as an in silico cell cyck predictor when provided with data from ongoing hioreactor 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. (C) 2016, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. Ali rights reserved.

引用

页码：200 / 205

页数：6

共 23 条

[1] Automated flow cytometry for acquisition of time-dependent population data [J].

Abu-Absi, NR ;

Zamamiri, A ;

Kacmar, J ;

Balogh, SJ ;

Srienc, F .

CYTOMETRY PART A, 2003, 51A (02) :87-96

[2]

Aghaeepour N, 2013, NAT METHODS, V10, P228, DOI [10.1038/NMETH.2365, 10.1038/nmeth.2365]

[3] MECHANISMS AND KINETICS OF MONOCLONAL-ANTIBODY SYNTHESIS AND SECRETION IN SYNCHRONOUS AND ASYNCHRONOUS HYBRIDOMA CELL-CULTURES [J].

ALRUBEAI, M ;

EMERY, AN .

JOURNAL OF BIOTECHNOLOGY, 1990, 16 (1-2) :67-86

[4] Agent-based modeling and biomedical ontologies: a roadmap [J].

An, Gary ;

Christley, Scott .

WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL STATISTICS, 2011, 3 (04) :343-356

[5]

Barnes D.J., 2015, Guide to simulation and modeling for biosciences

[6]

Bayrak ES, 2014, IEEE ENG MED BIO, P2924, DOI 10.1109/EMBC.2014.6944235

[7] Computational Modeling of Fed-Batch Cell Culture Bioreactor: Hybrid Agent-Based Approach [J].

Bayrak, Elif Seyma ;

Wang, Tony ;

Cinar, Ali ;

Undey, Cenk .

IFAC PAPERSONLINE, 2015, 48 (08) :1252-1257

[8] Agent-Based Modeling of Vascularization in Gradient Tissue Engineering Constructs [J].

Bayrak, Elif Seyma ;

Akar, Banu ;

Xiao, Nan ;

Mehdizadeh, Hamidreza ;

Somo, Sami I. ;

Brey, Eric M. ;

Cinar, Ali .

IFAC PAPERSONLINE, 2015, 48 (08) :1240-1245

[9] Agent-based modeling: Methods and techniques for simulating human systems [J].

Bonabeau, E .

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2002, 99 :7280-7287

[10]

Davey H. M., 1996, FLOW CYTOMETRY CELL

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