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Germinal Centers

Overview of attention for book
Cover of 'Germinal Centers'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Analysis of the Germinal Center Reaction in Tissue Sections
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    Chapter 2 Detecting Gene Expression in Lymphoid Microenvironments by Laser Microdissection and Quantitative RT-PCR
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    Chapter 3 Tracking Plasma Cell Differentiation in Living Mice with Two-Photon Microscopy
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    Chapter 4 Microanatomical Labeling of Germinal Center Structures for Flow Cytometry Using Photoactivation
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    Chapter 5 Fate Mapping and Transcript Profiling of Germinal Center Cells by Two-Photon Photoconversion
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    Chapter 6 Intravital Microscopy of T–B Cell Interactions in Germinal Centers
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    Chapter 7 Identifying Follicular Regulatory T Cells by Confocal Microscopy
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    Chapter 8 Cytokine Expression by T Follicular Helper Cells
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    Chapter 9 Follicular Dendritic Cell Isolation and Loading of Immune Complexes
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    Chapter 10 Isolation and Characterization of Mouse and Human Follicular Dendritic Cells
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    Chapter 11 In Vitro-Induced Germinal Center B Cell Culture System
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    Chapter 12 CRISPR/Cas9-Mediated In Vitro Mutagenesis in GC-Like B Cells
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    Chapter 13 Germinal Center Formation with Retrovirally Transduced B Cells for Determining the Role of Specific Molecules In Vivo
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    Chapter 14 Characterization of the B Cell Transcriptome Bound by RNA-Binding Proteins with iCLIP
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    Chapter 15 Flow-Cytometric Method Measuring B Cell Surface Immunoglobulin Avidity
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    Chapter 16 Somatic Hypermutation and Affinity Maturation Analysis Using the 4-Hydroxy-3-Nitrophenyl-Acetyl (NP) System
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    Chapter 17 Targeting Gene Function in Germinal Center B Cells: A Practical Approach
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    Chapter 18 Development of Mouse Model Systems of Germinal Center Lymphomas
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    Chapter 19 The AID-Cre-ERT2 Model: A Tool for Monitoring B Cell Immune Responses and Generating Selective Hybridomas
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    Chapter 20 Determining the Origin of Human Germinal Center B Cell-Derived Malignancies
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    Chapter 21 Tracking B-Cell Repertoires and Clonal Histories in Normal and Malignant Lymphocytes
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    Chapter 22 How to Simulate a Germinal Center
Attention for Chapter 16: Somatic Hypermutation and Affinity Maturation Analysis Using the 4-Hydroxy-3-Nitrophenyl-Acetyl (NP) System
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

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Chapter title
Somatic Hypermutation and Affinity Maturation Analysis Using the 4-Hydroxy-3-Nitrophenyl-Acetyl (NP) System
Chapter number 16
Book title
Germinal Centers
Published in
Methods in molecular biology, June 2017
DOI 10.1007/978-1-4939-7095-7_16
Pubmed ID
Book ISBNs
978-1-4939-7094-0, 978-1-4939-7095-7
Authors

Heise, Nicole, Klein, Ulf, Nicole Heise, Ulf Klein

Abstract

Somatic hypermutation of immunoglobulin variable region (IgV) genes and affinity maturation of the antibody response are the hallmarks of the germinal center (GC) reaction in T cell-dependent immune responses. Determining the consequences of the experimental manipulation of the GC response on somatic hypermutation and affinity maturation requires the availability of a system that allows measuring these parameters. Immunization of mice of the C57/Bl6 genetic background with the hapten 4-hydroxy-3-nitrophenyl-acetyl (NP) coupled to a carrier protein leads to the predominant usage of one particular IgV heavy chain gene segment, V186.2, among the responding B cells. Moreover, a specific somatic mutation in codon 33 of V186.2 that leads to a tryptophan to leucine amino acid exchange increases the affinity of the corresponding antibody by ~10-fold, thus representing a molecular marker for affinity maturation. In addition, due to the simplicity of the antigen and the virtual absence of NP-specific plasma cells prior to immunization, NP-based immunizations represent ideal tools to quantify the plasma cell response by measuring NP-specific antisera by ELISA and the generation of NP-specific plasma cells by ELISPOT analysis. We here describe approaches to (1) measure the anti-NP plasma cell response by ELISA and ELISPOT analysis, and to (2) amplify and sequence V186.2 rearrangements from GC B cells and plasma cells to determine the level of somatic hypermutation and the extent of affinity maturation in the anti-NP response.

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X Demographics

The data shown below were collected from the profiles of 3 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 42%
Professor > Associate Professor 2 17%
Researcher 2 17%
Student > Postgraduate 1 8%
Unknown 2 17%
Readers by discipline Count As %
Immunology and Microbiology 3 25%
Biochemistry, Genetics and Molecular Biology 2 17%
Agricultural and Biological Sciences 2 17%
Medicine and Dentistry 2 17%
Unknown 3 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 June 2017.
All research outputs
#7,531,132
of 22,979,862 outputs
Outputs from Methods in molecular biology
#2,334
of 13,147 outputs
Outputs of similar age
#120,842
of 317,348 outputs
Outputs of similar age from Methods in molecular biology
#42
of 304 outputs
Altmetric has tracked 22,979,862 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,147 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 76% 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 317,348 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 54% of its contemporaries.
We're also able to compare this research output to 304 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.