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Chikungunya Virus

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Cover of 'Chikungunya Virus'

Table of Contents

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    Book Overview
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    Chapter 1 Evolution and Epidemiology of Chikungunya Virus
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    Chapter 2 Molecular Epidemiology of Chikungunya Virus by Sequencing
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    Chapter 3 Chikungunya Virus
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    Chapter 4 Synthetic Peptide-Based Antibody Detection for Diagnosis of Chikungunya Infection with and without Neurological Complications
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    Chapter 5 Expression and Purification of E2 Glycoprotein from Insect Cells (Sf9) for Use in Serology
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    Chapter 6 Diagnostic Methods for CHIKV Based on Serological Tools
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    Chapter 7 Utilization and Assessment of Throat Swab and Urine Specimens for Diagnosis of Chikungunya Virus Infection
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    Chapter 8 Propagation of Chikungunya Virus Using Mosquito Cells
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    Chapter 9 Infectious Viral Quantification of Chikungunya Virus—Virus Plaque Assay
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    Chapter 10 Detection and Quantification of Chikungunya Virus by Real-Time RT-PCR Assay
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    Chapter 11 Chikungunya Virus
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    Chapter 12 Chikungunya Virus
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    Chapter 13 Chikungunya Virus Growth and Fluorescent Labeling: Detection of Chikungunya Virus by Immunofluorescence Assay
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    Chapter 14 Virus Isolation and Preparation of Sucrose-Banded Chikungunya Virus Samples for Transmission Electron Microscopy
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    Chapter 15 Chikungunya Virus
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    Chapter 16 Application of GelC-MS/MS to Proteomic Profiling of Chikungunya Virus Infection: Preparation of Peptides for Analysis
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    Chapter 17 Bioinformatics Based Approaches to Study Virus–Host Interactions During Chikungunya Virus Infection
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    Chapter 18 T-Cell Epitope Prediction of Chikungunya Virus
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    Chapter 19 Mouse Models of Chikungunya Virus
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    Chapter 20 Generation of Mouse Monoclonal Antibodies Specific to Chikungunya Virus Using ClonaCell-HY Hybridoma Cloning Kit
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    Chapter 21 Immunohistochemical Detection of Chikungunya Virus Antigens in Formalin-Fixed and Paraffin-Embedded Tissues
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    Chapter 22 Antiviral Strategies Against Chikungunya Virus
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    Chapter 23 A Real-Time Cell Analyzing Assay for Identification of Novel Antiviral Compounds against Chikungunya Virus
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    Chapter 24 Using Bicistronic Baculovirus Expression Vector System to Screen the Compounds That Interfere with the Infection of Chikungunya Virus
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    Chapter 25 Neutralization Assay for Chikungunya Virus Infection: Plaque Reduction Neutralization Test
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    Chapter 26 Reverse Genetics Approaches for Chikungunya Virus
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    Chapter 27 Chikungunya Virus
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    Chapter 28 Chikungunya Virus
Attention for Chapter 24: Using Bicistronic Baculovirus Expression Vector System to Screen the Compounds That Interfere with the Infection of Chikungunya Virus
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Chapter title
Using Bicistronic Baculovirus Expression Vector System to Screen the Compounds That Interfere with the Infection of Chikungunya Virus
Chapter number 24
Book title
Chikungunya Virus
Published in
Methods in molecular biology, May 2016
DOI 10.1007/978-1-4939-3618-2_24
Pubmed ID
Book ISBNs
978-1-4939-3616-8, 978-1-4939-3618-2
Authors

Szu-Cheng Kuo, Chao-Yi Teng, Yi-Jung Ho, Ying-Ju Chen, Tzong-Yuan Wu

Editors

Justin Jang Hann Chu, Swee Kim Ang

Abstract

Chikungunya virus (CHIKV) is the etiologic agent of Chikungunya fever and has emerged in many countries over the past decade. There are no effective drugs for controlling the disease. A bicistronic baculovirus expression system was utilized to co-express CHIKV structural proteins C (capsid), E2 and E1 and the enhanced green fluorescence protein (EGFP) in Spodoptera frugiperda insect cells (Sf21). The EGFP-positive Sf21 cells fused with each other and with uninfected cells to form a syncytium is mediated by the CHIKV E1 allowing it to identify chemicals that can prevent syncytium formation. The compounds characterized by this method could be anti-CHIKV drugs.

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 %
United States 1 7%
Unknown 14 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 27%
Other 3 20%
Student > Postgraduate 3 20%
Student > Doctoral Student 2 13%
Professor > Associate Professor 2 13%
Other 1 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 27%
Biochemistry, Genetics and Molecular Biology 3 20%
Immunology and Microbiology 2 13%
Medicine and Dentistry 2 13%
Economics, Econometrics and Finance 1 7%
Other 1 7%
Unknown 2 13%