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Human T-Lymphotropic Viruses

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Cover of 'Human T-Lymphotropic Viruses'

Table of Contents

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    Book Overview
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    Chapter 1 Serological and Molecular Methods to Study Epidemiological Aspects of Human T-Cell Lymphotropic Virus Type 1 Infection
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    Chapter 2 Molecular Epidemiology Database for Sequence Management and Data Mining
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    Chapter 3 Reporter Systems to Study HTLV-1 Transmission
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    Chapter 4 Quantitative Analysis of Human T-Lymphotropic Virus Type 1 (HTLV-1) Infection Using Co-Culture with Jurkat LTR-Luciferase or Jurkat LTR-GFP Reporter Cells
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    Chapter 5 Isolation of Exosomes from HTLV-Infected Cells
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    Chapter 6 A Luciferase Functional Quantitative Assay for Measuring NF-ĸB Promoter Transactivation Mediated by HTLV-1 and HTLV-2 Tax Proteins
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    Chapter 7 Generation of a Tet-On Expression System to Study Transactivation Ability of Tax-2
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    Chapter 8 EGF Uptake and Degradation Assay to Determine the Effect of HTLV Regulatory Proteins on the ESCRT-Dependent MVB Pathway
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    Chapter 9 Methods for Identifying and Examining HTLV-1 HBZ Post-translational Modifications
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    Chapter 10 High-Throughput Mapping and Clonal Quantification of Retroviral Integration Sites
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    Chapter 11 STR Profiling of HTLV-1-Infected Cell Lines
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    Chapter 12 Expression of HTLV-1 Genes in T-Cells Using RNA Electroporation
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    Chapter 13 Quantification of Cell Turnover in the Bovine Leukemia Virus Model
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    Chapter 14 Analysis of NK Cell Function and Receptor Expression During HTLV-1 and HTLV-2 Infection
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    Chapter 15 Overview of Targeted Therapies for Adult T-Cell Leukemia/Lymphoma
Attention for Chapter 3: Reporter Systems to Study HTLV-1 Transmission
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Chapter title
Reporter Systems to Study HTLV-1 Transmission
Chapter number 3
Book title
Human T-Lymphotropic Viruses
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6872-5_3
Pubmed ID
Book ISBNs
978-1-4939-6870-1, 978-1-4939-6872-5
Authors

Christine Gross, Andrea K. Thoma-Kress, Gross, Christine, Thoma-Kress, Andrea K.

Abstract

The retrovirus Human T-lymphotropic virus type 1 (HTLV-1) preferentially infects CD4(+) T-cells via cell-to-cell transmission, while cell-free infection of T-cells is inefficient. Substantial insights into the different routes of transmission have largely been obtained by imaging techniques or by flow cytometry. Recently, strategies to quantify infection events with HTLV-1 improved. In this chapter, we present two different methods to quantitate virus transmission. Both methods are based on measuring gene activity of luciferase with a cost-saving in-house luciferase assay. First, we established a reporter Jurkat T-cell line carrying a luciferase gene under the control of the HTLV-1 core promoter U3R. Upon co-culture with chronically HTLV-1-infected T-cell lines, reporter cells are infected, and upon expression of the viral transactivator Tax, the viral promoter is activated resulting in enhanced luciferase activity. However, this assay as presented here does not exclude cell fusion as the mechanism allowing intracellular Tax-dependent activation of luciferase gene expression. Therefore, we describe a second method, the single-cycle replication-dependent reporter system developed by Mazurov et al. (PLoS Pathog 6:e1000788, 2010) that allows quantitation of HTLV-1 infection in co-cultured cells. Taken together, both methods facilitate quantitation of HTLV-1 transmission and will help to unravel pathways required for cell-to-cell transmission on a quantitative basis.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 17%
Student > Ph. D. Student 2 17%
Unspecified 1 8%
Lecturer > Senior Lecturer 1 8%
Student > Doctoral Student 1 8%
Other 0 0%
Unknown 5 42%
Readers by discipline Count As %
Medicine and Dentistry 4 33%
Computer Science 1 8%
Unspecified 1 8%
Immunology and Microbiology 1 8%
Agricultural and Biological Sciences 1 8%
Other 0 0%
Unknown 4 33%