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Glyco-Engineering

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Cover of 'Glyco-Engineering'

Table of Contents

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    Book Overview
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    Chapter 1 Current Approaches to Engineering N -Linked Protein Glycosylation in Bacteria
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    Chapter 2 Inverse Metabolic Engineering for Enhanced Glycoprotein Production in Escherichia coli
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    Chapter 3 GlycoSNAP: A High-Throughput Screening Methodology for Engineering Designer Glycosylation Enzymes
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    Chapter 4 Production of Glycoproteins with Asparagine-Linked N -Acetylglucosamine in Escherichia coli
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    Chapter 5 Glyco-engineering O-Antigen-Based Vaccines and Diagnostics in E. coli
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    Chapter 6 Progress in Yeast Glycosylation Engineering.
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    Chapter 7 Protein Production with a Pichia pastoris OCH1 Knockout Strain in Fed-Batch Mode.
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    Chapter 8 Engineering the Pichia pastoris N-Glycosylation Pathway Using the GlycoSwitch Technology
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    Chapter 9 Development of a Valuable Yeast Strain Using a Novel Mutagenesis Technique for the Effective Production of Therapeutic Glycoproteins.
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    Chapter 10 An Overview and History of Glyco-Engineering in Insect Expression Systems.
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    Chapter 11 Glyco-Engineering
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    Chapter 12 Glyco-Engineering
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    Chapter 13 Engineering N-Glycosylation Pathway in Insect Cells: Suppression of β-N-Acetylglucosaminidase and Expression of β-1,4-Galactosyltransferase.
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    Chapter 14 N-Glyco-Engineering in Plants: Update on Strategies and Major Achievements
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    Chapter 15 Glyco-Engineering
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    Chapter 16 Im“plant”ing of Mammalian Glycosyltransferase Gene into Plant Suspension-Cultured Cells Using Agrobacterium-Mediated Transformation
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    Chapter 17 Transient Glyco-Engineering of N. benthamiana Aiming at the Synthesis of Multi-antennary Sialylated Proteins
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    Chapter 18 Subcellular Targeting of Proteins Involved in Modification of Plant N- and O-Glycosylation
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    Chapter 19 Assembly of Multigene Constructs Using Golden Gate Cloning.
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    Chapter 20 Strategies for Engineering Protein N-Glycosylation Pathways in Mammalian Cells
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    Chapter 21 Glycan Remodeling with Processing Inhibitors and Lectin-Resistant Eukaryotic Cells
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    Chapter 22 Production of Highly Sialylated Recombinant Glycoproteins Using Ricinus communis Agglutinin-I-Resistant CHO Glycosylation Mutants
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    Chapter 23 Metabolic Glyco-Engineering in Eukaryotic Cells and Selected Applications
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    Chapter 24 Evaluation of Quenching and Extraction Methods for Nucleotide/Nucleotide Sugar Analysis
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    Chapter 25 Chemoenzymatic Glyco-engineering of Monoclonal Antibodies
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    Chapter 26 Chemical Polysialylation of Recombinant Human Proteins
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    Chapter 27 Site-Specific Glycosylation Profiling Using Liquid Chromatography-Tandem Mass Spectrometry (LC-MS)
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    Chapter 28 Mass Spectrometric Analysis of Oligo- and Polysialic Acids
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    Chapter 29 Isomer-Specific Analysis of Released N-Glycans by LC-ESI MS/MS with Porous Graphitized Carbon
Attention for Chapter 2: Inverse Metabolic Engineering for Enhanced Glycoprotein Production in Escherichia coli
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Chapter title
Inverse Metabolic Engineering for Enhanced Glycoprotein Production in Escherichia coli
Chapter number 2
Book title
Glyco-Engineering
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2760-9_2
Pubmed ID
Book ISBNs
978-1-4939-2759-3, 978-1-4939-2760-9
Authors

Jaffé, Stephen R. P., Strutton, Benjamin, Pandhal, Jagroop, Wright, Phillip C., Stephen R. P. Jaffé, Benjamin Strutton, Jagroop Pandhal, Phillip C. Wright

Abstract

Inverse metabolic engineering (IME) provides a strategy to rapidly identify the genetic elements responsible for the desired phenotype of a chosen target organism. This methodology has been successfully applied towards enhancing the N-linked glycosylation efficiency of Escherichia coli. Here, we describe the generation of differentially sized libraries from the E. coli W3110 genome followed by high-throughput semiquantitative glycan specific screening. DNA sequenced targets demonstrating increased levels of glycan production were selected for forward engineering, protein overexpression, and absolute quantification of glycoproteins.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 33%
Researcher 1 33%
Student > Master 1 33%
Readers by discipline Count As %
Chemical Engineering 1 33%
Agricultural and Biological Sciences 1 33%
Unknown 1 33%