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Glyco-Engineering

Overview of attention for book
Cover of 'Glyco-Engineering'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    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
  27. Altmetric Badge
    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
  30. Altmetric Badge
    Chapter 29 Isomer-Specific Analysis of Released N-Glycans by LC-ESI MS/MS with Porous Graphitized Carbon
Attention for Chapter 15: Glyco-Engineering
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Chapter title
Glyco-Engineering
Chapter number 15
Book title
Glyco-Engineering
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2760-9_15
Pubmed ID
Book ISBNs
978-1-4939-2759-3, 978-1-4939-2760-9
Authors

Decker, Eva L, Wiedemann, Gertrud, Reski, Ralf, Eva L. Decker, Gertrud Wiedemann, Ralf Reski

Abstract

One of the main challenges for the production of biopharmaceuticals in plant-based systems is the modulation of plant-specific glycosylation patterns towards a humanized form. Posttranslational modifications in plants are similar to those in humans, but several differences affect product quality and efficacy and can also cause immune responses in patients. In the moss Physcomitrella patens highly efficient gene targeting via homologous recombination enables glyco-engineering to obtain suitable platform lines for the production of recombinant proteins and biopharmaceuticals. Here we describe the methods which are effective for creating gene targeting constructs and transgenic moss lines as well as confirming successful homologous integration of the constructs and modification of target gene expression.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 4%
Unknown 23 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 25%
Researcher 4 17%
Student > Master 4 17%
Student > Ph. D. Student 3 13%
Professor 1 4%
Other 3 13%
Unknown 3 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 46%
Agricultural and Biological Sciences 10 42%
Unknown 3 13%
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 10 March 2016.
All research outputs
#18,445,779
of 22,854,458 outputs
Outputs from Methods in molecular biology
#7,923
of 13,128 outputs
Outputs of similar age
#255,995
of 353,259 outputs
Outputs of similar age from Methods in molecular biology
#481
of 997 outputs
Altmetric has tracked 22,854,458 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,128 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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We're also able to compare this research output to 997 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.