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Development and Analysis of a Mathematical Model for Antibody‐Producing GS‐NS0 Cells Under Normal and Hyperosmotic Culture Conditions
Author(s) -
Ho Yingswan,
Varley Julie,
Mantalaris Athanasios
Publication year - 2006
Publication title -
biotechnology progress
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.572
H-Index - 129
eISSN - 1520-6033
pISSN - 8756-7938
DOI - 10.1021/bp060032b
Subject(s) - monoclonal antibody , cell culture , antibody , computational biology , scale (ratio) , biology , biological system , computer science , genetics , physics , quantum mechanics
The GS‐NS0 cell line is industrially important and is currently used for the large‐scale production of several therapeutic monoclonal antibodies. A novel hybrid model, consisting of both unstructured and structured elements, has been developed to describe cell growth and death, metabolism, and antibody production in the GS‐NS0 system under normal culture conditions. A comparison between the hybrid model and a large‐scale single‐cell model (SCM) describing detailed metabolic processes verified the predictive ability of the hybrid model (when compared with experimental data) and highlighted the practical difficulties involved in utilizing complex models. Global sensitivity analysis (GSA) on the hybrid model identified the specific transcription and translation rates of heavy and light immunoglobulin chains as parameters with the largest impact on the antibody production process. This information, together with the addition of a 24‐h lag phase, resulted in the successful extension of the hybrid model to represent GS‐NS0 system behavior under hyperosmotic culture conditions.