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Immunosenescence

Overview of attention for book
Cover of 'Immunosenescence'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Isolation of Lipid Rafts from Human Neutrophils by Density Gradient Centrifugation
  3. Altmetric Badge
    Chapter 2 Flow Cytometry Analysis of NK Cell Phenotype and Function in Aging.
  4. Altmetric Badge
    Chapter 3 Flow Cytometric Identification of Fibrocytes in the Human Circulation.
  5. Altmetric Badge
    Chapter 4 Experimental Approaches to Tissue Injury and Repair in Advanced Age.
  6. Altmetric Badge
    Chapter 5 Multicolor Digital Flow Cytometry in Human Translational Immunology
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    Chapter 6 Flow Cytometry-Based Methods to Characterize Immune Senescence in Nonhuman Primates.
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    Chapter 7 Multiparameter Phenotyping of Human PBMCs Using Mass Cytometry.
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    Chapter 8 Imaging Immunosenescence.
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    Chapter 9 Activation-Induced Cytidine Deaminase and Switched Memory B Cells as Predictors of Effective In Vivo Responses to the Influenza Vaccine
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    Chapter 10 Analyzing the Effect of Aging on CD8+ T-Cell Phenotype Using Flow Cytometry
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    Chapter 11 Immunosenecence
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    Chapter 12 Assays for Monitoring Macroautophagy Activity in T cells.
  14. Altmetric Badge
    Chapter 13 Fluorescence-Based Approaches for Quantitative Assessment of Protein Carbonylation, Protein Disulfides, and Protein Conformation in Biological Tissues
  15. Altmetric Badge
    Chapter 14 Monitoring the DNA Damage Response at Dysfunctional Telomeres
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    Chapter 15 Single-Cell Analysis of T-Cell Receptor αβ Repertoire.
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    Chapter 16 Immunosenecence
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    Chapter 17 Laboratory and Data Analysis Methods for Characterization of Human B Cell Repertoires by High-Throughput DNA Sequencing.
  19. Altmetric Badge
    Chapter 18 Discovery of Novel microRNAs in Aging Caenorhabditis elegans.
  20. Altmetric Badge
    Chapter 19 Analysis of DNA Methylation by Pyrosequencing.
  21. Altmetric Badge
    Chapter 20 ERRATUM
Attention for Chapter 16: Immunosenecence
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Chapter title
Immunosenecence
Chapter number 16
Book title
Immunosenescence
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2963-4_16
Pubmed ID
Book ISBNs
978-1-4939-2962-7, 978-1-4939-2963-4
Authors

Wu, Yu-Chang, Kipling, David, Dunn-Walters, Deborah, Yu-Chang Wu, David Kipling, Deborah Dunn-Walters

Abstract

The B cell receptor (BCR) repertoire is highly diverse. Repertoire diversity is achieved centrally by somatic recombination of immunoglobulin (Ig) genes and peripherally by somatic hypermutation and Ig heavy chain class-switching. Throughout these processes, there is selection for functional gene rearrangements, selection against gene combinations resulting in self-reactive BCRs, and selection for BCRs with high affinity for exogenous antigens after challenge. Hence, investigation of BCR repertoires from different groups of B cells can provide information on stages of B cell development and shed light on the etiology of B cell pathologies. In most instances, the third complementarity determining region of the Ig heavy chain (CDR-H3) contributes the majority of amino acids to the antibody/antigen binding interface. Although CDR-H3 spectratype analysis provides information on the overall diversity of BCR repertoires, this fairly simple technique analyzes the relative quantities of CDR-H3 regions of each size, within a range of approximately 10-80 bp, without sequence detail and thus is limited in scope. High-throughput sequencing (HTS) techniques on the Roche 454 GS FLX Titanium system, however, can generate a wide coverage of Ig sequences to provide more qualitative data such as V, D, and J usage as well as detailed CDR3 sequence information. Here we present protocols in detail for CDR-H3 spectratype analysis and HTS of human BCR repertoires.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 16%
Student > Bachelor 4 16%
Student > Ph. D. Student 3 12%
Professor 2 8%
Student > Doctoral Student 1 4%
Other 5 20%
Unknown 6 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 28%
Biochemistry, Genetics and Molecular Biology 6 24%
Immunology and Microbiology 2 8%
Computer Science 1 4%
Unspecified 1 4%
Other 2 8%
Unknown 6 24%
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 01 July 2016.
All research outputs
#20,335,423
of 22,880,230 outputs
Outputs from Methods in molecular biology
#9,918
of 13,132 outputs
Outputs of similar age
#296,064
of 353,344 outputs
Outputs of similar age from Methods in molecular biology
#636
of 997 outputs
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So far Altmetric has tracked 13,132 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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