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Batch-to-batch variability of two human designer cell lines - AGE1.HN and AGE1.HN.AAT : carried out by different laboratories under defined culture conditions using a mathematical model
Publikationstyp
Journal Article
Date Issued
2013-03-18
Sprache
English
Institut
TORE-URI
Journal
Volume
13
Issue
6
Start Page
580
End Page
592
Citation
Engineering in Life Sciences 6 (13): 580-592 (2013)
Publisher DOI
Scopus ID
Publisher
Wiley-VCH
Systems biology approaches involve collaboration of a larger number of research groups. Experiments are being performed in different laboratories dealing with different aspects of the topic of interest. Therefore, comparability of data collected for further analysis and modeling needs critical assessment. Here, growth and product formation of two human designer cell lines (AGE1.HN and its α1-antitrypsin producing clone AGE1.HN.AAT) were investigated by four research laboratories. Cell lines were cultivated in shake flasks and stirred tank bioreactors operated at standardized conditions using a chemically defined medium, and a simple mathematical model was used to estimate characteristic process parameters. Results obtained for 35 batches showed that neither the initial viable cell concentration nor the initial concentration of glucose and glutamine showed significant differences between laboratories. For these measurements with low variations, specific growth rate and yields varied between 8.5 and 26% (relative standard error), indicating comparability of cultivations between laboratories for exponential growth. Higher variations of fitted parameters related to measurements with high initial variation. Comparing the nonproducing with the producing cell line, no significant differences were found regarding growth dynamics and metabolism. Overall, it seems justified to draw conclusions based on the entire experimental dataset of this systems biology project. © 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
Subjects
AGE1.HN human designer cell lines
Batch-to-batch variability
Biological vari-ability
Comparability
Mathematical model
DDC Class
570: Biowissenschaften, Biologie
More Funding Information
Deutschland, Bundesministerium für Bildung und Forschung