Structure of HIV-1 quasi-species as early indicator for switches of co-receptor tropism

<p>Abstract</p> <p>Deep sequencing is able to generate a complete picture of the retroviral quasi-species in a patient. We demonstrate that the unprecedented power of deep sequencing in conjunction with computational data analysis has great potential for clinical diagnostics and ba...

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Main Authors: Hoffmann Daniel, Heider Dominik, Dybowski J Nikolaj
Format: Article
Language:English
Published: BMC 2010-11-01
Series:AIDS Research and Therapy
Online Access:http://www.aidsrestherapy.com/content/7/1/41
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spelling doaj-61475a08ce98471e9b5bfbd2135dc2bd2020-11-24T22:22:23ZengBMCAIDS Research and Therapy1742-64052010-11-01714110.1186/1742-6405-7-41Structure of HIV-1 quasi-species as early indicator for switches of co-receptor tropismHoffmann DanielHeider DominikDybowski J Nikolaj<p>Abstract</p> <p>Deep sequencing is able to generate a complete picture of the retroviral quasi-species in a patient. We demonstrate that the unprecedented power of deep sequencing in conjunction with computational data analysis has great potential for clinical diagnostics and basic research. Specifically, we analyzed longitudinal deep sequencing data from patients in a study with Vicriviroc, a drug that blocks the HIV-1 co-receptor CCR5. Sequences covered the V3-loop of gp120, known to be the main determinant of co-receptor tropism. First, we evaluated this data with a computational model for the interpretation of V3-sequences with respect to tropism, and we found complete agreement with results from phenotypic assays. Thus, the method could be applied in cases where phenotypic assays fail. Second, computational analysis led to the discovery of a characteristic pattern in the quasi-species that foreshadows switches of co-receptor tropism. This analysis could help to unravel the mechanism of tropism switches, and to predict these switches weeks to months before they can be detected by a phenotypic assay.</p> http://www.aidsrestherapy.com/content/7/1/41
collection DOAJ
language English
format Article
sources DOAJ
author Hoffmann Daniel
Heider Dominik
Dybowski J Nikolaj
spellingShingle Hoffmann Daniel
Heider Dominik
Dybowski J Nikolaj
Structure of HIV-1 quasi-species as early indicator for switches of co-receptor tropism
AIDS Research and Therapy
author_facet Hoffmann Daniel
Heider Dominik
Dybowski J Nikolaj
author_sort Hoffmann Daniel
title Structure of HIV-1 quasi-species as early indicator for switches of co-receptor tropism
title_short Structure of HIV-1 quasi-species as early indicator for switches of co-receptor tropism
title_full Structure of HIV-1 quasi-species as early indicator for switches of co-receptor tropism
title_fullStr Structure of HIV-1 quasi-species as early indicator for switches of co-receptor tropism
title_full_unstemmed Structure of HIV-1 quasi-species as early indicator for switches of co-receptor tropism
title_sort structure of hiv-1 quasi-species as early indicator for switches of co-receptor tropism
publisher BMC
series AIDS Research and Therapy
issn 1742-6405
publishDate 2010-11-01
description <p>Abstract</p> <p>Deep sequencing is able to generate a complete picture of the retroviral quasi-species in a patient. We demonstrate that the unprecedented power of deep sequencing in conjunction with computational data analysis has great potential for clinical diagnostics and basic research. Specifically, we analyzed longitudinal deep sequencing data from patients in a study with Vicriviroc, a drug that blocks the HIV-1 co-receptor CCR5. Sequences covered the V3-loop of gp120, known to be the main determinant of co-receptor tropism. First, we evaluated this data with a computational model for the interpretation of V3-sequences with respect to tropism, and we found complete agreement with results from phenotypic assays. Thus, the method could be applied in cases where phenotypic assays fail. Second, computational analysis led to the discovery of a characteristic pattern in the quasi-species that foreshadows switches of co-receptor tropism. This analysis could help to unravel the mechanism of tropism switches, and to predict these switches weeks to months before they can be detected by a phenotypic assay.</p>
url http://www.aidsrestherapy.com/content/7/1/41
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