Literature DB >> 17242929

Statistical methods in media optimization for batch and fed-batch animal cell culture.

Diliny M De Alwis1, Roshni L Dutton, Jeno Scharer, Murray Moo-Young.   

Abstract

Hybridoma 130-8F producing anti-F monoclonal antibodies (MAb) were grown in batch and fed-batch mode with glutamine as the limiting substrate. The initial concentration of glucose varied between 10 and 25 mM but was not growth limiting. Monoclonal antibody production was identified as being partially growth associated. Employing the cumulative cell hour concept, external metabolic flux estimates were calculated during the exponential growth phase for MAb, glucose, amino acids, ammonia and lactate. Through nutritional profiling using principal component analysis (PCA) followed by partial least squares regression (PLS), key metabolites were identified and grouped for significant positive, significant negative, low level, and negligible correlation to MAb production, cellular growth, glucose consumption, and ammonia and lactate production. Significant relationships peculiar to Hybridoma 130-8F were identified, such as demand for two normally non-essential amino acids (asparagine and aspartic acid), and the positive correlation between MAb and ammonia production.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17242929     DOI: 10.1007/s00449-006-0107-7

Source DB:  PubMed          Journal:  Bioprocess Biosyst Eng        ISSN: 1615-7591            Impact factor:   3.210


  4 in total

1.  Development of optimal medium for production of commercially important monoclonal antibody 520C9 by hybridoma cell.

Authors:  Sucharita Sen; Pradip K Roychoudhury
Journal:  Cytotechnology       Date:  2012-07-19       Impact factor: 2.058

2.  Projection to latent pathways (PLP): a constrained projection to latent variables (PLS) method for elementary flux modes discrimination.

Authors:  Ana R Ferreira; João M L Dias; Ana P Teixeira; Nuno Carinhas; Rui M C Portela; Inês A Isidro; Moritz von Stosch; Rui Oliveira
Journal:  BMC Syst Biol       Date:  2011-11-01

Review 3.  Harnessing the potential of machine learning for advancing "Quality by Design" in biomanufacturing.

Authors:  Ian Walsh; Matthew Myint; Terry Nguyen-Khuong; Ying Swan Ho; Say Kong Ng; Meiyappan Lakshmanan
Journal:  MAbs       Date:  2022 Jan-Dec       Impact factor: 5.857

4.  Identification of growth phases and influencing factors in cultivations with AGE1.HN cells using set-based methods.

Authors:  Steffen Borchers; Susann Freund; Alexander Rath; Stefan Streif; Udo Reichl; Rolf Findeisen
Journal:  PLoS One       Date:  2013-08-02       Impact factor: 3.240

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.