↓ Skip to main content

Antibody Engineering

Overview of attention for book
Cover of 'Antibody Engineering'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Antibody Design and Humanization via In Silico Modeling
  3. Altmetric Badge
    Chapter 2 Antibody Affinity Maturation by Computational Design
  4. Altmetric Badge
    Chapter 3 Use of IMGT® Databases and Tools for Antibody Engineering and Humanization
  5. Altmetric Badge
    Chapter 4 Construction of Human Naïve Antibody Gene Libraries
  6. Altmetric Badge
    Chapter 5 Construction of Synthetic Antibody Libraries
  7. Altmetric Badge
    Chapter 6 Construction of Histidine-Enriched Shark IgNAR Variable Domain Antibody Libraries for the Isolation of pH-Sensitive vNAR Fragments
  8. Altmetric Badge
    Chapter 7 Display Technologies for Generation of Ig Single Variable Domains
  9. Altmetric Badge
    Chapter 8 A Streamlined Approach for the Construction of Large Yeast Surface Display Fab Antibody Libraries
  10. Altmetric Badge
    Chapter 9 Phage Display and Selections on Purified Antigens
  11. Altmetric Badge
    Chapter 10 Selection of Antibodies to Transiently Expressed Membrane Proteins Using Phage Display
  12. Altmetric Badge
    Chapter 11 Selection of Antibody Fragments Against Structured DNA by Phage Display
  13. Altmetric Badge
    Chapter 12 Selection of Antibody Fragments by Yeast Display
  14. Altmetric Badge
    Chapter 13 Rapid Selection of High-Affinity Antibody scFv Fragments Using Ribosome Display
  15. Altmetric Badge
    Chapter 14 In Vitro Selection of Single-Domain Antibody (VHH) Using cDNA Display
  16. Altmetric Badge
    Chapter 15 Sequencing and Affinity Determination of Antigen-Specific B Lymphocytes from Peripheral Blood
  17. Altmetric Badge
    Chapter 16 Expression of IgG Monoclonals with Engineered Immune Effector Functions
  18. Altmetric Badge
    Chapter 17 An IRES-Mediated Tricistronic Vector for Efficient Generation of Stable, High-Level Monoclonal Antibody Producing CHO DG44 Cell Lines
  19. Altmetric Badge
    Chapter 18 Production, Purification, and Characterization of Antibody-TNF Superfamily Ligand Fusion Proteins
  20. Altmetric Badge
    Chapter 19 Chemoenzymatic Defucosylation of Therapeutic Antibodies for Enhanced Effector Functions Using Bacterial α-Fucosidases
  21. Altmetric Badge
    Chapter 20 Fc Glyco- and Fc Protein-Engineering: Design of Antibody Variants with Improved ADCC and CDC Activity
  22. Altmetric Badge
    Chapter 21 Fc Engineering: Tailored Synthetic Human IgG1-Fc Repertoire for High-Affinity Interaction with FcRn at pH 6.0
  23. Altmetric Badge
    Chapter 22 Measuring Antibody-Antigen Binding Kinetics Using Surface Plasmon Resonance
  24. Altmetric Badge
    Chapter 23 Parallel Evolution of Antibody Affinity and Thermal Stability for Optimal Biotherapeutic Development
  25. Altmetric Badge
    Chapter 24 The Use of Somatic Hypermutation for the Affinity Maturation of Therapeutic Antibodies
  26. Altmetric Badge
    Chapter 25 Selection and Use of Intracellular Antibodies
  27. Altmetric Badge
    Chapter 26 Site-Specific Radioactive Labeling of Nanobodies
Attention for Chapter 19: Chemoenzymatic Defucosylation of Therapeutic Antibodies for Enhanced Effector Functions Using Bacterial α-Fucosidases
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

patent
3 patents

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
21 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Chemoenzymatic Defucosylation of Therapeutic Antibodies for Enhanced Effector Functions Using Bacterial α-Fucosidases
Chapter number 19
Book title
Antibody Engineering
Published in
Methods in molecular biology, September 2018
DOI 10.1007/978-1-4939-8648-4_19
Pubmed ID
Book ISBNs
978-1-4939-8647-7, 978-1-4939-8648-4
Authors

Chao Li, Tiezheng Li, Lai-Xi Wang, Li, Chao, Li, Tiezheng, Wang, Lai-Xi

Abstract

Core fucosylation plays a critical role in modulating the effector functions of therapeutic antibodies such as the antibody-dependent cellular cytotoxicity (ADCC) through adversely affecting the affinity of antibodies for Fcγ receptors. Thus, a facile method for Fc defucosylation of antibodies is important both for functional studies and for an enhanced therapeutic efficacy. In this chapter, we describe a detailed protocol for chemoenzymatic defucosylation of antibodies using Herceptin (trastuzumab) as a model system. The protocol includes (a) Fc deglycosylation using endoglycosidase S2 (Endo-S2); (b) enzymatic defucosylation of the resulting Fucα1,6GlcNAc-Herceptin using two distinct bacterial α-fucosidases, AlfC and BfFuc; (c) transglycosylation of the GlcNAc-Herceptin using an Endo-S2 mutant (Endo-S2 D184M) as the enzyme and a complex N-glycan oxazoline as the donor substrate; and (d) SPR analysis of the binding of antibody glycoforms with the FcγIIIA receptor. The protocol of enzymatic defucosylation of Herceptin should be equally applicable for the Fc glycan engineering of other mAbs.

Mendeley readers

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 %
Researcher 5 24%
Student > Ph. D. Student 4 19%
Student > Bachelor 1 5%
Lecturer 1 5%
Student > Master 1 5%
Other 1 5%
Unknown 8 38%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 19%
Chemical Engineering 3 14%
Agricultural and Biological Sciences 2 10%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Unknown 11 52%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 08 February 2022.
All research outputs
#5,349,323
of 25,090,809 outputs
Outputs from Methods in molecular biology
#1,537
of 14,110 outputs
Outputs of similar age
#96,048
of 342,356 outputs
Outputs of similar age from Methods in molecular biology
#16
of 250 outputs
Altmetric has tracked 25,090,809 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,110 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 88% 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 342,356 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 250 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.