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Influenza Virus

Overview of attention for book
Cover of 'Influenza Virus'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Understanding Influenza
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    Chapter 2 Clinical Diagnosis of Influenza
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    Chapter 3 Influenza A Virus Genetic Tools: From Clinical Sample to Molecular Clone
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    Chapter 4 Propagation and Titration of Influenza Viruses
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    Chapter 5 Purification and Proteomics of Influenza Virions
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    Chapter 6 Haploid Screening for the Identification of Host Factors in Virus Infection
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    Chapter 7 Phenotypic Lentivirus Screens to Identify Antiviral Single Domain Antibodies
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    Chapter 8 Deciphering Virus Entry with Fluorescently Labeled Viral Particles
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    Chapter 9 Quantitative RT-PCR Analysis of Influenza Virus Endocytic Escape
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    Chapter 10 Single-Molecule Sensitivity RNA FISH Analysis of Influenza Virus Genome Trafficking
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    Chapter 11 3D Electron Microscopy (EM) and Correlative Light Electron Microscopy (CLEM) Methods to Study Virus-Host Interactions
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    Chapter 12 Correlative Light and Electron Microscopy of Influenza Virus Entry and Budding
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    Chapter 13 Influenza Virus-Liposome Fusion Studies Using Fluorescence Dequenching and Cryo-electron Tomography
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    Chapter 14 Metal-Tagging Transmission Electron Microscopy and Immunogold Labeling on Tokuyasu Cryosections to Image Influenza A Virus Ribonucleoprotein Transport and Packaging
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    Chapter 15 Live Imaging of Influenza Viral Ribonucleoproteins Using Light-Sheet Microscopy
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    Chapter 16 Purification of Unanchored Polyubiquitin Chains from Influenza Virions
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    Chapter 17 Assays to Measure the Activity of Influenza Virus Polymerase
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    Chapter 18 In Vitro Models to Study Influenza Virus and Staphylococcus aureus Super-Infection on a Molecular Level
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    Chapter 19 Infection of Cultured Mammalian Cells with Aerosolized Influenza Virus
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    Chapter 20 Animal Models in Influenza Research
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    Chapter 21 Measuring Influenza Virus Infection Using Bioluminescent Reporter Viruses for In Vivo Imaging and In Vitro Replication Assays
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    Chapter 22 Selection of Antigenically Advanced Variants of Influenza Viruses
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    Chapter 23 Assessment of Influenza Virus Hemagglutinin Stalk-Specific Antibody Responses
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    Chapter 24 Analyses of Cellular Immune Responses in Ferrets Following Influenza Virus Infection
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    Chapter 25 Parameter Estimation in Mathematical Models of Viral Infections Using R
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    Chapter 26 Software for Characterizing the Antigenic and Genetic Evolution of Human Influenza Viruses
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    Chapter 27 Clinical Trials of Influenza Vaccines: Special Challenges
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    Chapter 28 The Silver Lining in Gain-of-Function Experiments with Pathogens of Pandemic Potential
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    Chapter 29 Why Do Exceptionally Dangerous Gain-of-Function Experiments in Influenza?
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    Chapter 30 How Computational Models Enable Mechanistic Insights into Virus Infection
Attention for Chapter 12: Correlative Light and Electron Microscopy of Influenza Virus Entry and Budding
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Chapter title
Correlative Light and Electron Microscopy of Influenza Virus Entry and Budding
Chapter number 12
Book title
Influenza Virus
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-8678-1_12
Pubmed ID
Book ISBNs
978-1-4939-8677-4, 978-1-4939-8678-1
Authors

Hodgson, Lorna, Verkade, Paul, Yamauchi, Yohei, Lorna Hodgson, Paul Verkade, Yohei Yamauchi

Abstract

Influenza A virus (IAV) entry is a stepwise process regulated by viral and cellular cues, facilitating cellular functions. Virus entry begins by attachment of hemagglutinin to cell surface sialic acids, followed by endocytic uptake, vesicular transport along microtubules, low-pH-mediated viral membrane fusion with the late endosomal membrane, capsid uncoating, viral ribonucleoprotein (vRNP) release, and nuclear import of vRNPs. Here we show a basic methodology to visualize incoming and egressing IAV particles by correlative light and electron microscopy (CLEM). We combine fluorescence microscopy of virus-infected human lung carcinoma A549 cells with high-pressure freezing (HPF) and in-resin fluorescence CLEM and the Tokuyasu CLEM method. This approach forms a basis to study the virus life cycle and virus-host interactions at the ultrastructural level.

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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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 33%
Researcher 4 27%
Student > Doctoral Student 2 13%
Student > Master 2 13%
Unknown 2 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 40%
Agricultural and Biological Sciences 3 20%
Immunology and Microbiology 2 13%
Veterinary Science and Veterinary Medicine 1 7%
Unknown 3 20%
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 August 2018.
All research outputs
#15,544,609
of 23,102,082 outputs
Outputs from Methods in molecular biology
#5,412
of 13,208 outputs
Outputs of similar age
#270,181
of 442,691 outputs
Outputs of similar age from Methods in molecular biology
#596
of 1,499 outputs
Altmetric has tracked 23,102,082 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,208 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% 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 442,691 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,499 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.