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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
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    Chapter 2 Flow Cytometry Analysis of NK Cell Phenotype and Function in Aging.
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    Chapter 3 Flow Cytometric Identification of Fibrocytes in the Human Circulation.
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    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.
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    Chapter 13 Fluorescence-Based Approaches for Quantitative Assessment of Protein Carbonylation, Protein Disulfides, and Protein Conformation in Biological Tissues
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    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.
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    Chapter 19 Analysis of DNA Methylation by Pyrosequencing.
  21. Altmetric Badge
    Chapter 20 ERRATUM
Attention for Chapter 6: Flow Cytometry-Based Methods to Characterize Immune Senescence in Nonhuman Primates.
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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Chapter title
Flow Cytometry-Based Methods to Characterize Immune Senescence in Nonhuman Primates.
Chapter number 6
Book title
Immunosenescence
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2963-4_6
Pubmed ID
Book ISBNs
978-1-4939-2962-7, 978-1-4939-2963-4
Authors

Meyer, Christine, Haberthur, Kristen, Asquith, Mark, Messaoudi, Ilhem, Christine Meyer, Kristen Haberthur, Mark Asquith, Ilhem Messaoudi

Abstract

Flow cytometry is an invaluable technique that can be used to phenotypically and functionally characterize immune cell populations ex vivo. This technology has greatly advanced our ability to gain critical insight into age-related changes in immune function, commonly known as immune senescence. Rodents have been traditionally used to investigate the molecular mechanisms of immune senescence because they offer the distinct advantages of an extensive set of reagents, the presence of genetically modified strains, and a short lifespan that allows for longevity studies of short duration. More recently, nonhuman primates (NHPs), and specifically rhesus macaques, have emerged as a leading translational model to study various aspects of human aging. In contrast to rodents, they share significant genetic homology as well as physiological and behavioral characteristics with humans. Furthermore, rhesus macaques are a long-lived outbred species, which makes them an ideal translational model. Therefore, NHPs offer a unique opportunity to carry out mechanistic studies under controlled laboratory conditions (e.g., photoperiod, temperature, diet, and medications) in a species that closely mimics human biology. Moreover similar techniques (e.g., activity recording and MRI) can be used to measure physiological parameters in NHPs, making direct comparisons between NHP and human data sets possible. In addition, the outbred genetics of NHPs enables rigorous validation of research findings that goes beyond proof of principle. Finally, self-selection bias that is often unavoidable in human clinical trials can be completely eliminated with NHP studies. Here we describe flow cytometry-based methods to phenotypically and functionally characterize innate immune cells as well as T and B lymphocyte subsets from isolated peripheral blood mononuclear cells (PBMC) in rhesus macaques.

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The data shown below were collected from the profiles of 4 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 3 27%
Student > Master 2 18%
Other 1 9%
Student > Bachelor 1 9%
Researcher 1 9%
Other 1 9%
Unknown 2 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 18%
Medicine and Dentistry 2 18%
Agricultural and Biological Sciences 1 9%
Psychology 1 9%
Immunology and Microbiology 1 9%
Other 0 0%
Unknown 4 36%
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 01 July 2016.
All research outputs
#12,936,730
of 22,829,683 outputs
Outputs from Methods in molecular biology
#3,290
of 13,125 outputs
Outputs of similar age
#164,435
of 353,131 outputs
Outputs of similar age from Methods in molecular biology
#224
of 997 outputs
Altmetric has tracked 22,829,683 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,125 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 74% 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 353,131 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 52% of its contemporaries.
We're also able to compare this research output to 997 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.