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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 7: Phenotypic Lentivirus Screens to Identify Antiviral Single Domain Antibodies
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Chapter title
Phenotypic Lentivirus Screens to Identify Antiviral Single Domain Antibodies
Chapter number 7
Book title
Influenza Virus
Published in
Methods in molecular biology, August 2018
DOI 10.1007/978-1-4939-8678-1_7
Pubmed ID
Book ISBNs
978-1-4939-8677-4, 978-1-4939-8678-1
Authors

Florian Ingo Schmidt, Schmidt, Florian Ingo

Abstract

Our understanding of infection biology is based on experiments in which pathogen or host proteins are perturbed by small compound inhibitors, mutation, or depletion. This approach has been remarkably successful, as, for example, demonstrated by the independent identification of the endosomal membrane protein Niemann-Pick C1 as an essential factor for Ebola virus infection in both small compound and insertional mutagenesis screens (Côté, Nature 477:344-348, 2011; Carette et al., Nature 477:340-343, 2011). However, many aspects of host-pathogen interactions are poorly understood because we cannot target all of the involved molecules with small molecules, or because we cannot deplete essential proteins. Single domain antibody fragments expressed in the cytosol or other organelles constitute a versatile alternative to perturb the function of any given protein by masking protein-protein interaction interfaces, by stabilizing distinct conformations, or by directly interfering with enzymatic activities. The variable domains of heavy chain-only antibodies (VHHs) from camelid species can be cloned from blood samples of animals immunized with the desired target molecules. We can thus exploit the ability of the camelid immune system to generate affinity-matured single domain antibody fragments to obtain highly specific tools. Interesting VHH candidates are typically identified based on their affinity toward immobilized antigens using techniques such as phage display.The phenotypical screening approach described here allows the direct identification of VHHs that prevent infection of cells with influenza A virus (IAV) or other pathogens. The VHH repertoire is cloned into a lentiviral vector, which is used to generate pseudo-typed lentivirus particles. Target cells are transduced with the lentivirus, so that every cell inducibly expresses a different VHH. This cell collection is then challenged with a lethal dose of virus. Only the cells which express a VHH that prevents infection by targeting virus proteins or host cell components essential for infection will survive. We can thus identify critical target molecules including vulnerable epitopes and conformations, render target molecules accessible to informative perturbation studies, and stabilize intermediates of virus entry for detailed analysis.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 31%
Student > Bachelor 2 13%
Student > Master 2 13%
Other 1 6%
Professor 1 6%
Other 0 0%
Unknown 5 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 25%
Immunology and Microbiology 3 19%
Medicine and Dentistry 2 13%
Veterinary Science and Veterinary Medicine 1 6%
Unknown 6 38%
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
#17,989,170
of 23,102,082 outputs
Outputs from Methods in molecular biology
#7,315
of 13,208 outputs
Outputs of similar age
#240,302
of 334,863 outputs
Outputs of similar age from Methods in molecular biology
#136
of 248 outputs
Altmetric has tracked 23,102,082 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% 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 39th percentile – i.e., 39% of its peers scored the same or lower than it.
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We're also able to compare this research output to 248 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.