Computational approach for understanding and improving GS-NS0 antibody production under hyperosmotic conditions

Journal of Bioscience and Bioengineering

Volumn 113, Issue 1, 2012, Pages 88-98

  Ho, Yingswan ^a   Kiparissides, Alexandros ^a   Pistikopoulos, Efstratios N ^a   Mantalaris, Athanasios ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

Antibody production; GS NS0 cell line; Hyperosmotic conditions; Mammalian cell culture; Model based design of experiments

Indexed keywords

ANTIBODY PRODUCTION; GS-NS0 CELL LINE; HYPEROSMOTIC CONDITIONS; MAMMALIAN CELL CULTURE; MODEL-BASED DESIGN;

ANIMAL CELL CULTURE; CELLS; DESIGN OF EXPERIMENTS; EXPERIMENTS; MAMMALS; OPTIMIZATION; TRANSCRIPTION;

ANTIBODIES;

ANTIBODY; IMMUNOGLOBULIN G; MESSENGER RNA;

ANIMAL CELL; ANTIBODY PRODUCTION; ARTICLE; CELL CULTURE; CELL LINE; CULTURE MEDIUM; HYPEROSMOTIC CONDITION; IN VITRO STUDY; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; MOUSE; NONHUMAN; RNA ANALYSIS; SENSITIVITY ANALYSIS;

ANIMALS; ANTIBODIES, MONOCLONAL; CELL CULTURE TECHNIQUES; CELL LINE, TUMOR; COMPUTATIONAL BIOLOGY; CULTURE MEDIA; IMMUNOGLOBULIN G; MICE; MODELS, BIOLOGICAL; OSMOTIC PRESSURE; PROTEIN BIOSYNTHESIS; RECOMBINANT PROTEINS; RNA, MESSENGER; TIME FACTORS; TRANSCRIPTION, GENETIC;

MAMMALIA;

EID: 84855340871     PISSN: 13891723     EISSN: 13474421     Source Type: Journal    
DOI: 10.1016/j.jbiosc.2011.08.022     Document Type: Article

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