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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
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    Chapter 4 Construction of Human Naïve Antibody Gene Libraries
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    Chapter 5 Construction of Synthetic Antibody Libraries
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    Chapter 6 Construction of Histidine-Enriched Shark IgNAR Variable Domain Antibody Libraries for the Isolation of pH-Sensitive vNAR Fragments
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    Chapter 7 Display Technologies for Generation of Ig Single Variable Domains
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    Chapter 8 A Streamlined Approach for the Construction of Large Yeast Surface Display Fab Antibody Libraries
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    Chapter 9 Phage Display and Selections on Purified Antigens
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    Chapter 10 Selection of Antibodies to Transiently Expressed Membrane Proteins Using Phage Display
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    Chapter 11 Selection of Antibody Fragments Against Structured DNA by Phage Display
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    Chapter 12 Selection of Antibody Fragments by Yeast Display
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    Chapter 13 Rapid Selection of High-Affinity Antibody scFv Fragments Using Ribosome Display
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    Chapter 14 In Vitro Selection of Single-Domain Antibody (VHH) Using cDNA Display
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    Chapter 15 Sequencing and Affinity Determination of Antigen-Specific B Lymphocytes from Peripheral Blood
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    Chapter 16 Expression of IgG Monoclonals with Engineered Immune Effector Functions
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    Chapter 17 An IRES-Mediated Tricistronic Vector for Efficient Generation of Stable, High-Level Monoclonal Antibody Producing CHO DG44 Cell Lines
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    Chapter 18 Production, Purification, and Characterization of Antibody-TNF Superfamily Ligand Fusion Proteins
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    Chapter 19 Chemoenzymatic Defucosylation of Therapeutic Antibodies for Enhanced Effector Functions Using Bacterial α-Fucosidases
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    Chapter 20 Fc Glyco- and Fc Protein-Engineering: Design of Antibody Variants with Improved ADCC and CDC Activity
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    Chapter 21 Fc Engineering: Tailored Synthetic Human IgG1-Fc Repertoire for High-Affinity Interaction with FcRn at pH 6.0
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    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
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    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 24: The Use of Somatic Hypermutation for the Affinity Maturation of Therapeutic Antibodies
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Chapter title
The Use of Somatic Hypermutation for the Affinity Maturation of Therapeutic Antibodies
Chapter number 24
Book title
Antibody Engineering
Published in
Methods in molecular biology, September 2018
DOI 10.1007/978-1-4939-8648-4_24
Pubmed ID
Book ISBNs
978-1-4939-8647-7, 978-1-4939-8648-4
Authors

Peter M. Bowers, William J. Boyle, Robert Damoiseaux, Bowers, Peter M., Boyle, William J., Damoiseaux, Robert

Abstract

The engineering of antibodies and antibody fragments for affinity maturation, stability, and other biophysical characteristics is a common aspect of therapeutic development. Maturation of antibodies in B cells during the adaptive immune response is the result of a process called somatic hypermutation (SHM), in which the activation-induced cytidine deaminase (AID) acts to introduce mutations into immunoglobulin (Ig) genes. Iterative selection and clonal expansion of B cells containing affinity-enhancing mutations drive an increase in the overall affinity of antibodies. Here we describe the use of SHM coupled with mammalian cell surface display for the maturation of antibodies in vitro and the complementarity of these methods with the mining of immune lineages using next-generation sequencing (NGS).

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 26%
Researcher 5 22%
Professor > Associate Professor 3 13%
Other 2 9%
Student > Master 2 9%
Other 1 4%
Unknown 4 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 30%
Agricultural and Biological Sciences 3 13%
Immunology and Microbiology 3 13%
Engineering 2 9%
Environmental Science 1 4%
Other 2 9%
Unknown 5 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 18 February 2022.
All research outputs
#15,509,219
of 24,577,646 outputs
Outputs from Methods in molecular biology
#4,555
of 13,817 outputs
Outputs of similar age
#193,886
of 341,090 outputs
Outputs of similar age from Methods in molecular biology
#80
of 250 outputs
Altmetric has tracked 24,577,646 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,817 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 63% 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 341,090 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
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 gotten more attention than average, scoring higher than 64% of its contemporaries.