Literature DB >> 12892482

Effect of shear stress on intrinsic CHO culture state and glycosylation of recombinant tissue-type plasminogen activator protein.

Ryan S Senger1, M Nazmul Karim.   

Abstract

Shear stress in suspension culture was investigated as a possible manipulative parameter for the control of glycosylation of the recombinant tissue-type plasminogen activator protein (r-tPA) produced by recombinant Chinese hamster ovary (CHO) cell culture, grown in protein-free media. Resulting fractions of partially glycosylated, Type II, and fully glycosylated, Type I, r-tPA protein were monitored as a direct function of the shear characteristics of the culture environment. The shear-induced response of CHO culture to levels of low shear stress, where exponential growth was not obtained, and to higher levels of shear stress, which resulted in extensive cell death, were examined through manipulation of the bioreactor stirring velocity. Both apparent and intrinsic cell growth, metabolite consumption, byproduct and r-tPA production, and r-tPA glycosylation, from a variable site-occupancy standpoint, were monitored throughout. Kinetic analyses revealed a shear-stress-induced alteration of cellular homeostasis resulting in a nonlinear dependency of metabolic yield coefficients and an intrinsic cell lysis kinetic constant on shear stress. Damaging levels of shear stress were used to investigate the shear dependence of cell death and lysis, as well as the effects on the intrinsic growth rate of the culture. Kinetic models were also developed on the basis of the intrinsic state of the culture and compared to traditional models. Total r-tPA production was maximized under moderate shear conditions, as was the viable CHO cell density of the culture. However, Type II r-tPA production and the fraction of Type II glycoform production ratio was maximized under damaging levels of shear stress. Analyses of biomass production yield coefficients coupled with a plug-flow reactor model of glycan addition in the endoplasmic reticulum (ER) were used to propose an overall mechanism of decreased r-tPA protein site-occupancy glycosylation with increasing shear stress. Decreased residence time of r-tPA in the ER as a result of increased protein synthesis related to shear protection mechanisms is proposed to limit contact of site Asn184 with the membrane-bound oligosaccharyltransferase enzyme in the ER.

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Year:  2003        PMID: 12892482     DOI: 10.1021/bp025715f

Source DB:  PubMed          Journal:  Biotechnol Prog        ISSN: 1520-6033


  7 in total

Review 1.  Living with heterogeneities in bioreactors: understanding the effects of environmental gradients on cells.

Authors:  Alvaro R Lara; Enrique Galindo; Octavio T Ramírez; Laura A Palomares
Journal:  Mol Biotechnol       Date:  2006-11       Impact factor: 2.695

2.  The potential of hydrodynamic damage to animal cells of industrial relevance: current understanding.

Authors:  Weiwei Hu; Claudia Berdugo; Jeffrey J Chalmers
Journal:  Cytotechnology       Date:  2011-07-22       Impact factor: 2.058

3.  High throughput quantification of N-glycans using one-pot sialic acid modification and matrix assisted laser desorption ionization time-of-flight mass spectrometry.

Authors:  Geun-Cheol Gil; Bryce Iliff; Ron Cerny; William H Velander; Kevin E Van Cott
Journal:  Anal Chem       Date:  2010-08-01       Impact factor: 6.986

Review 4.  What can mathematical modelling say about CHO metabolism and protein glycosylation?

Authors:  Sarah N Galleguillos; David Ruckerbauer; Matthias P Gerstl; Nicole Borth; Michael Hanscho; Jürgen Zanghellini
Journal:  Comput Struct Biotechnol J       Date:  2017-01-28       Impact factor: 7.271

5.  Biopharmaceutical-Type Chinese Hamster Ovary Cell Cultivation Under Static Magnetic Field Exposure: A Study of Genotoxic Effect.

Authors:  Alina Rekena; Dora Livkisa; Edmunds Kamolins; Juris Vanags; Dagnija Loca
Journal:  Front Bioeng Biotechnol       Date:  2021-11-25

6.  Fluorescent labeling in semi-solid medium for selection of mammalian cells secreting high-levels of recombinant proteins.

Authors:  Antoine W Caron; Claire Nicolas; Bruno Gaillet; Ismaïla Ba; Maxime Pinard; Alain Garnier; Bernard Massie; Rénald Gilbert
Journal:  BMC Biotechnol       Date:  2009-05-11       Impact factor: 2.563

7.  Harnessing the potential of artificial neural networks for predicting protein glycosylation.

Authors:  Pavlos Kotidis; Cleo Kontoravdi
Journal:  Metab Eng Commun       Date:  2020-05-15
  7 in total

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