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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
  19. Altmetric Badge
    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 19: Assembly of Multigene Constructs Using Golden Gate Cloning.
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

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3 Wikipedia pages

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Chapter title
Assembly of Multigene Constructs Using Golden Gate Cloning.
Chapter number 19
Book title
Glyco-Engineering
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2760-9_19
Pubmed ID
Book ISBNs
978-1-4939-2759-3, 978-1-4939-2760-9
Authors

Marillonnet, Sylvestre, Werner, Stefan, Sylvestre Marillonnet, Stefan Werner

Abstract

Efficient DNA assembly methods are required for synthetic biology. Standardization of DNA parts is an essential element that not only facilitates reuse of the same parts for various constructs but also allows standardization of the assembly strategy. We provide here a protocol for assembly of multigene constructs from standard biological parts using the modular cloning system MoClo. Making constructs using this system requires to first define the structure of the final construct and to identify all basic parts and vectors required for the construction strategy. The cloning strategy is in large part determined by the structure of the final construct, which is then made using a series of one-pot Golden Gate cloning reactions.

X Demographics

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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Mexico 1 2%
Unknown 44 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 22%
Researcher 8 17%
Student > Ph. D. Student 7 15%
Student > Master 5 11%
Professor 3 7%
Other 5 11%
Unknown 8 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 22 48%
Agricultural and Biological Sciences 9 20%
Chemical Engineering 2 4%
Unspecified 1 2%
Medicine and Dentistry 1 2%
Other 2 4%
Unknown 9 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 22 February 2022.
All research outputs
#4,729,165
of 23,172,045 outputs
Outputs from Methods in molecular biology
#1,356
of 13,286 outputs
Outputs of similar age
#66,770
of 354,853 outputs
Outputs of similar age from Methods in molecular biology
#105
of 1,001 outputs
Altmetric has tracked 23,172,045 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,286 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 89% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 354,853 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 1,001 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.