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
Geographical breakdown
Country | Count | As % |
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Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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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 % |
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Computer Science | 1 | 8% |
Unspecified | 1 | 8% |
Immunology and Microbiology | 1 | 8% |
Agricultural and Biological Sciences | 1 | 8% |
Other | 0 | 0% |
Unknown | 4 | 33% |