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Glycosylation Engineering of Biopharmaceuticals

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Cover of 'Glycosylation Engineering of Biopharmaceuticals'

Table of Contents

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    Book Overview
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    Chapter 1 Engineering of Therapeutic and Diagnostic O -Glycans on Recombinant Mucin-Type Immunoglobulin Fusion Proteins Expressed in CHO Cells
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    Chapter 2 Engineering a Human-Like Glycosylation to Produce Therapeutic Glycoproteins Based on 6-Linked Sialylation in CHO Cells
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    Chapter 3 Glycoengineered Pichia -Based Expression of Monoclonal Antibodies
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    Chapter 4 N-Glycosylation Humanization for Production of Therapeutic Recombinant Glycoproteins in Saccharomyces cerevisiae
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    Chapter 5 Engineering the baculovirus genome to produce galactosylated antibodies in lepidopteran cells.
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    Chapter 6 NanoLC Chips MS/MS for the Characterization of N -Glycopeptides Generated from Trypsin Digestion of a Monoclonal Antibody
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    Chapter 7 Cetuximab Fab and Fc N-Glycan Fast Characterization Using IdeS Digestion and Liquid Chromatography Coupled to Electrospray Ionization Mass Spectrometry
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    Chapter 8 Therapeutic Antibody Glycosylation Analysis: A Contract Research Organization Perspective in the Frame of Batch Release or Comparability Support
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    Chapter 9 Mass Spectrometric Analysis of O -Linked Oligosaccharides from Various Recombinant Expression Systems
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    Chapter 10 Assessing Fc Glycan Heterogeneity of Therapeutic Recombinant Monoclonal Antibodies Using NP-HPLC
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    Chapter 11 Application of Capillary Electrophoresis in Glycoprotein Analysis
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    Chapter 12 Characterization of Glycoprotein Biopharmaceutical Products by Caliper LC90 CE-SDS Gel Technology
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    Chapter 13 Hydrophobic Interaction Chromatography to Analyze Glycoproteins
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    Chapter 14 Lectin Glycoprofiling of Recombinant Therapeutic Interleukin-7
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    Chapter 15 Analysis of Monoclonal Antibodies by Sedimentation Velocity Analytical Ultracentrifugation
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    Chapter 16 Noncovalent Mass Spectrometry for the Characterization of Antibody/Antigen Complexes
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    Chapter 17 Conformational Analysis of Recombinant Monoclonal Antibodies with Hydrogen/Deuterium Exchange Mass Spectrometry
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    Chapter 18 Epitope Mapping of Antibodies by Mass Spectroscopy: A Case Study
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    Chapter 19 Evaluation of Antibody-Dependent Cell Cytotoxicity Using Lactate Dehydrogenase (LDH) Measurement
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    Chapter 20 Evaluation of Complement-Dependent Cytotoxicity Using ATP Measurement and C1q/C4b Binding
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    Chapter 21 Capture of the Human IgG1 Antibodies by Protein A for the Kinetic Study of h-IgG/FcγR Interaction Using SPR-Based Biosensor Technology
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    Chapter 22 Mass Spectrometry Protocol for the Absolute Quantification of a Monoclonal Antibody in Serum with Immunopurification
Attention for Chapter 5: Engineering the baculovirus genome to produce galactosylated antibodies in lepidopteran cells.
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Chapter title
Engineering the baculovirus genome to produce galactosylated antibodies in lepidopteran cells.
Chapter number 5
Book title
Glycosylation Engineering of Biopharmaceuticals
Published in
Methods in molecular biology, January 2013
DOI 10.1007/978-1-62703-327-5_5
Pubmed ID
Book ISBNs
978-1-62703-326-8, 978-1-62703-327-5
Authors

Sylvie Juliant, Marylêne Lévêque, Pierre Cérutti, Annick Ozil, Sylvie Choblet, Marie-Luce Violet, Marie-Christine Slomianny, Anne Harduin-Lepers, Martine Cérutti

Abstract

Nowadays, recombinant proteins are used with great success for the treatment of a variety of medical conditions, such as cancer, autoimmune, and infectious diseases. Several expression systems have been developed to produce human proteins, but one of their most critical limitations is the addition of truncated or nonhuman glycans to the recombinant molecules. The presence of such glycans can be deleterious as they may alter the protein physicochemical properties (e.g., solubility, aggregation), its half-life, and its immunogenicity due to the unmasking of epitopes.The baculovirus expression system has long been used to produce recombinant proteins for research. Thanks to recent methodological advances, this cost-effective technology is now considered a very promising alternative for the production of recombinant therapeutics, especially vaccines. Studies on the lepidopteran cell metabolism have shown that these cells can perform most of the posttranslational modifications, including N- and O-glycosylation. However, these glycan structures are shorter compared to those present in mammalian proteins. Lepidopteran N-glycans are essentially of the oligomannose and paucimannose type with no complex glycan identified in both infected and uninfected cells. The presence of short N-glycan structures is explained by the low level of N-acetylglucosaminyltransferase I (GNT-I) activity and the absence of several other glycosyltransferases, such as GNT-II and β1,4-galactosyltransferase I (β1,4GalTI), and of sialyltransferases.In this chapter, we show that the glycosylation pathway of a lepidopteran cell line can be modified via infection with an engineered baculovirus to "humanize" the glycosylation pattern of a recombinant protein. This engineering has been performed by introducing in the baculovirus genome the cDNAs that encode three mammalian glycosyltransferases (GNT-I, GNT-II, and β1,4GalTI). The efficiency of this approach is illustrated with the construction of a recombinant virus that can produce a galactosylated antibody.

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Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 29%
Researcher 6 29%
Student > Master 3 14%
Student > Bachelor 1 5%
Professor 1 5%
Other 4 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 33%
Medicine and Dentistry 5 24%
Agricultural and Biological Sciences 5 24%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Unspecified 1 5%
Other 0 0%
Unknown 2 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 March 2013.
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#18,332,122
of 22,701,287 outputs
Outputs from Methods in molecular biology
#7,845
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Outputs of similar age
#217,991
of 280,698 outputs
Outputs of similar age from Methods in molecular biology
#220
of 340 outputs
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