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Innate Antiviral Immunity

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Cover of 'Innate Antiviral Immunity'

Table of Contents

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    Book Overview
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    Chapter 1 The Application of Humanized Mouse Models for the Study of Human Exclusive Viruses
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    Chapter 2 Zebrafish as a Model for the Study of Host-Virus Interactions
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    Chapter 3 Northern Blot Detection of Virus-Derived Small Interfering RNAs in Caenorhabditis elegans Using Nonradioactive Oligo Probes
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    Chapter 4 Extraction and qPCR-Based Detection of miRNAs from Cultured PBMCs of Bubaline Origin
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    Chapter 5 Visualizing Virus-Derived dsRNA Using Antibody-Independent and -Dependent Methods
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    Chapter 6 RNA PAMPs as Molecular Tools for Evaluating RIG-I Function in Innate Immunity
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    Chapter 7 Methods to Visualize MAVS Subcellular Localization
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    Chapter 8 Purification of Cyclic GMP-AMP from Viruses and Measurement of Its Activity in Cell Culture
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    Chapter 9 cGAMP Quantification in Virus-Infected Human Monocyte-Derived Cells by HPLC-Coupled Tandem Mass Spectrometry
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    Chapter 10 Methods of Assessing STING Activation and Trafficking
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    Chapter 11 Genome-Wide CRISPR/Cas9 Screening for High-Throughput Functional Genomics in Human Cells
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    Chapter 12 High-Throughput Screening for Identification of Novel Innate Immune Activators
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    Chapter 13 Chromosome Conformation Capture for Research on Innate Antiviral Immunity
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    Chapter 14 Discovery of Variants Underlying Host Susceptibility to Virus Infection Using Whole-Exome Sequencing
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    Chapter 15 Isolation, Purification, and Culture of Primary Murine Sensory Neurons
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    Chapter 16 Isolation of Group 2 Innate Lymphoid Cells from Mouse Lungs
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    Chapter 17 Epidemiological Methods
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    Chapter 18 Erratum to: Purification of Cyclic GMP-AMP from Viruses and Measurement of Its Activity in Cell Culture
Attention for Chapter 12: High-Throughput Screening for Identification of Novel Innate Immune Activators
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Chapter title
High-Throughput Screening for Identification of Novel Innate Immune Activators
Chapter number 12
Book title
Innate Antiviral Immunity
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-7237-1_12
Pubmed ID
Book ISBNs
978-1-4939-7236-4, 978-1-4939-7237-1
Authors

Bryan J. Gall, Victor R. DeFilippis, Gall, Bryan J., DeFilippis, Victor R.

Abstract

Modern drug discovery has embraced in vitro platforms that enable investigation of large numbers of compounds within tractable timeframes and for feasible costs. These endeavors have been greatly aided in recent years by advances in molecular and cell-based methods such as gene delivery and editing technology, advanced imaging, robotics, and quantitative analysis. As such, the examination of phenotypic impacts of novel molecules may only be limited by the size of the compound collection. Innate immune signaling processes in mammalian cells are especially amenable to high-throughput screening platforms since the cellular responses elicited by their activation often result in high level transcription that can be harnessed in the form of bioluminescent or fluorescent signal. In addition, targeted activation of innate immune pathways represents a valuable therapeutic strategy applicable to multiple chronic and acute human diseases. Herein, we describe the optimization and utilization of a high-throughput screening method using human reporter cells reactive to stimulation of the type I interferon response. Importantly, the principles and methods described can be applied to adherent reporter cells of diverse derivation and innate signaling pathway readouts.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 50%
Student > Ph. D. Student 1 13%
Lecturer 1 13%
Student > Master 1 13%
Student > Postgraduate 1 13%
Other 0 0%
Readers by discipline Count As %
Medicine and Dentistry 3 38%
Biochemistry, Genetics and Molecular Biology 2 25%
Chemistry 1 13%
Design 1 13%
Unknown 1 13%