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Human Respiratory Syncytial Virus

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

Table of Contents

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    Book Overview
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    Chapter 1 Human Respiratory Syncytial Virus: An Introduction
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    Chapter 2 Human Respiratory Syncytial Virus
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    Chapter 3 Quantification of RSV Infectious Particles by Plaque Assay and Immunostaining Assay
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    Chapter 4 Detection of RSV Antibodies in Human Plasma by Enzyme Immunoassays
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    Chapter 5 Secretory Expression and Purification of Respiratory Syncytial Virus G and F Proteins in Human Cells
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    Chapter 6 Development of Human Monoclonal Antibodies Against Respiratory Syncytial Virus Using a High Efficiency Human Hybridoma Technique
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    Chapter 7 Respiratory Syncytial Virus (RSV): Neutralizing Antibody, a Correlate of Immune Protection
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    Chapter 8 Host Factors Modulating RSV Infection: Use of Small Interfering RNAs to Probe Functional Importance
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    Chapter 9 In Vitro Modeling of RSV Infection and Cytopathogenesis in Well-Differentiated Human Primary Airway Epithelial Cells (WD-PAECs)
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    Chapter 10 Reverse Genetics of Respiratory Syncytial Virus
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    Chapter 11 Use of Minigenome Systems to Study RSV Transcription
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    Chapter 12 Screening for Host Factors Directly Interacting with RSV Protein: Microfluidics
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    Chapter 13 A Proteomic-Based Workflow Using Purified Respiratory Syncytial Virus Particles to Identify Cellular Factors as Drug Targets
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    Chapter 14 Human Respiratory Syncytial Virus
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    Chapter 15 Mouse and Cotton Rat Models of Human Respiratory Syncytial Virus
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    Chapter 16 Human Respiratory Syncytial Virus
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    Chapter 17 Evaluation of the Adaptive Immune Response to Respiratory Syncytial Virus
Attention for Chapter 14: Human Respiratory Syncytial Virus
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Chapter title
Human Respiratory Syncytial Virus
Chapter number 14
Book title
Human Respiratory Syncytial Virus
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3687-8_14
Pubmed ID
27464696
Book ISBNs
978-1-4939-3685-4, 978-1-4939-3687-8
Authors

Anderson, Lydia, Jorquera, Patricia A, Tripp, Ralph A, Lydia Anderson, Patricia A. Jorquera, Ralph A. Tripp

Abstract

Several studies have shown that respiratory syncytial virus (RSV) can modulate the host innate immune response by dysregulation of host microRNAs (miRNAs) related to the antiviral response, a feature that also affects the memory immune response to RSV (Thornburg et al. MBio 3(6), 2012). miRNAs are small, endogenous, noncoding RNAs that function in posttranscriptional gene regulation. Here, we explain a compilation of methods for the purification, quantification, and characterization of miRNA expression profiles in biofluids, whole blood samples, and tissue samples obtained from in vivo studies. In addition, this chapter describes methods for the isolation of exosomal miRNA populations. Understanding alterations in miRNA expression profiles and identifying miRNA targets genes, and their contribution to the pathogenesis of RSV, may help elucidate novel mechanism of host-virus interaction (Rossi et al., Pediatr Pulmonol, 2015).

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X Demographics

The data shown below were collected from the profile of 1 X user 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 23%
Student > Master 3 14%
Professor > Associate Professor 3 14%
Unspecified 2 9%
Researcher 2 9%
Other 3 14%
Unknown 4 18%
Readers by discipline Count As %
Medicine and Dentistry 5 23%
Biochemistry, Genetics and Molecular Biology 5 23%
Unspecified 2 9%
Engineering 2 9%
Immunology and Microbiology 1 5%
Other 1 5%
Unknown 6 27%
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 29 July 2016.
All research outputs
#20,336,685
of 22,881,964 outputs
Outputs from Methods in molecular biology
#9,921
of 13,132 outputs
Outputs of similar age
#330,743
of 393,701 outputs
Outputs of similar age from Methods in molecular biology
#1,054
of 1,471 outputs
Altmetric has tracked 22,881,964 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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.
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 393,701 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,471 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.

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