↓ Skip to main content

Human Respiratory Syncytial Virus

Overview of attention for book
Cover of 'Human Respiratory Syncytial Virus'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Human Respiratory Syncytial Virus: An Introduction
  3. Altmetric Badge
    Chapter 2 Human Respiratory Syncytial Virus
  4. Altmetric Badge
    Chapter 3 Quantification of RSV Infectious Particles by Plaque Assay and Immunostaining Assay
  5. Altmetric Badge
    Chapter 4 Detection of RSV Antibodies in Human Plasma by Enzyme Immunoassays
  6. Altmetric Badge
    Chapter 5 Secretory Expression and Purification of Respiratory Syncytial Virus G and F Proteins in Human Cells
  7. Altmetric Badge
    Chapter 6 Development of Human Monoclonal Antibodies Against Respiratory Syncytial Virus Using a High Efficiency Human Hybridoma Technique
  8. Altmetric Badge
    Chapter 7 Respiratory Syncytial Virus (RSV): Neutralizing Antibody, a Correlate of Immune Protection
  9. Altmetric Badge
    Chapter 8 Host Factors Modulating RSV Infection: Use of Small Interfering RNAs to Probe Functional Importance
  10. Altmetric Badge
    Chapter 9 In Vitro Modeling of RSV Infection and Cytopathogenesis in Well-Differentiated Human Primary Airway Epithelial Cells (WD-PAECs)
  11. Altmetric Badge
    Chapter 10 Reverse Genetics of Respiratory Syncytial Virus
  12. Altmetric Badge
    Chapter 11 Use of Minigenome Systems to Study RSV Transcription
  13. Altmetric Badge
    Chapter 12 Screening for Host Factors Directly Interacting with RSV Protein: Microfluidics
  14. Altmetric Badge
    Chapter 13 A Proteomic-Based Workflow Using Purified Respiratory Syncytial Virus Particles to Identify Cellular Factors as Drug Targets
  15. Altmetric Badge
    Chapter 14 Human Respiratory Syncytial Virus
  16. Altmetric Badge
    Chapter 15 Mouse and Cotton Rat Models of Human Respiratory Syncytial Virus
  17. Altmetric Badge
    Chapter 16 Human Respiratory Syncytial Virus
  18. Altmetric Badge
    Chapter 17 Evaluation of the Adaptive Immune Response to Respiratory Syncytial Virus
Attention for Chapter 17: Evaluation of the Adaptive Immune Response to Respiratory Syncytial Virus
Altmetric Badge

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
Evaluation of the Adaptive Immune Response to Respiratory Syncytial Virus
Chapter number 17
Book title
Human Respiratory Syncytial Virus
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3687-8_17
Pubmed ID
Book ISBNs
978-1-4939-3685-4, 978-1-4939-3687-8
Authors

Cory J. Knudson, Kayla A. Weiss, Megan E. Stoley, Steven M. Varga

Abstract

Evaluation of the adaptive immune response is critical to the advancement of our basic knowledge and understanding of respiratory syncytial virus (RSV). The cellular composition in the lung following RSV infection is often evaluated using flow cytometry. However, a limitation of this approach has been the inability to readily distinguish cells that are within the lung parenchyma from cells that remain in the pulmonary blood vessels. Herein, we detail a procedure to evaluate the adaptive immune response via flow cytometric analysis that incorporates an in vivo intravascular staining technique. This technique allows for discrimination of immune cells in the lung tissue from cells that remain in the pulmonary vasculature following perfusion. Therefore at any given time point following an RSV infection, the leukocytic populations in the lung parenchyma can be quantified and phenotypically assessed with high resolution. While we focus on the T lymphocyte response in the lung, this technique can be readily adapted to examine various leukocytic cell types in the lung following RSV infection.

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 %
Student > Master 7 33%
Other 1 5%
Student > Bachelor 1 5%
Student > Ph. D. Student 1 5%
Professor 1 5%
Other 2 10%
Unknown 8 38%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 19%
Immunology and Microbiology 3 14%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Medicine and Dentistry 1 5%
Engineering 1 5%
Other 0 0%
Unknown 11 52%