Dataset Information

An expanded model of HIV cell entry phenotype based on multi-parameter single-cell data.

ABSTRACT:

Background

Entry of human immunodeficiency virus type 1 (HIV-1) into the host cell involves interactions between the viral envelope glycoproteins (Env) and the cellular receptor CD4 as well as a coreceptor molecule (most importantly CCR5 or CXCR4). Viral preference for a specific coreceptor (tropism) is in particular determined by the third variable loop (V3) of the Env glycoprotein gp120. The approval and use of a coreceptor antagonist for antiretroviral therapy make detailed understanding of tropism and its accurate prediction from patient derived virus isolates essential. The aim of the present study is the development of an extended description of the HIV entry phenotype reflecting its co-dependence on several key determinants as the basis for a more accurate prediction of HIV-1 entry phenotype from genotypic data.

Results

Here, we established a new protocol of quantitation and computational analysis of the dependence of HIV entry efficiency on receptor and coreceptor cell surface levels as well as viral V3 loop sequence and the presence of two prototypic coreceptor antagonists in varying concentrations. Based on data collected at the single-cell level, we constructed regression models of the HIV-1 entry phenotype integrating the measured determinants. We developed a multivariate phenotype descriptor, termed phenotype vector, which facilitates a more detailed characterization of HIV entry phenotypes than currently used binary tropism classifications. For some of the tested virus variants, the multivariant phenotype vector revealed substantial divergences from existing tropism predictions. We also developed methods for computational prediction of the entry phenotypes based on the V3 sequence and performed an extrapolating calculation of the effectiveness of this computational procedure.

Conclusions

Our study of the HIV cell entry phenotype and the novel multivariate representation developed here contributes to a more detailed understanding of this phenotype and offers potential for future application in the effective administration of entry inhibitors in antiretroviral therapies.

SUBMITTER: Bozek K

PROVIDER: S-EPMC3464718 | biostudies-literature | 2012 Jul

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

An expanded model of HIV cell entry phenotype based on multi-parameter single-cell data.

Bozek Katarzyna K Eckhardt Manon M Sierra Saleta S Anders Maria M Kaiser Rolf R Kräusslich Hans-Georg HG Müller Barbara B Lengauer Thomas T

Retrovirology 20120725

<h4>Background</h4>Entry of human immunodeficiency virus type 1 (HIV-1) into the host cell involves interactions between the viral envelope glycoproteins (Env) and the cellular receptor CD4 as well as a coreceptor molecule (most importantly CCR5 or CXCR4). Viral preference for a specific coreceptor (tropism) is in particular determined by the third variable loop (V3) of the Env glycoprotein gp120. The approval and use of a coreceptor antagonist for antiretroviral therapy make detailed understand ...[more]

PMID: 22830600

Similar Datasets

Project description:Long-acting antiretrovirals could provide a useful alternative to daily oral therapy for HIV-1-infected individuals. Building on a bi-specific molecule with adnectins targeting CD4 and gp41, a potential long-acting biologic, GSK3732394, was developed with three independent and synergistic modes of HIV entry inhibition that potentially could be self-administered as a long-acting subcutaneous injection. Starting with the bi-specific inhibitor, an α-helical peptide inhibitor was optimized as a linked molecule to the anti-gp41 adnectin, with each separate inhibitor exhibiting at least single-digit nanomolar (or lower) potency and a broad spectrum. Combination of the two adnectins and peptide activities into a single molecule was shown to have synergistic advantages in potency, the resistance barrier, and the ability to inhibit HIV-1 infections at low levels of CD4 receptor occupancy, showing that GSK3732394 can work in trans on a CD4+ T cell. Addition of a human serum albumin molecule prolongs the half-life in a human CD4 transgenic mouse, suggesting that it may have potential as a long-acting agent. GSK3732394 was shown to be highly effective in a humanized mouse model of infection. GSK3732394 is currently in clinical trials.IMPORTANCE There continue to be significant unmet medical needs for patients with HIV-1 infection. One way to improve adherence and decrease the likelihood of drug-drug interactions in HIV-1-infected patients is through the development of long-acting biologic inhibitors. Building on a bi-specific inhibitor approach targeting CD4 and gp41, a tri-specific molecule was generated with three distinct antiviral activities. The linkage of these three biologic inhibitors creates synergy that offers a series of advantages to the molecule. The addition of human serum albumin to the tri-specific inhibitor could allow it to function as a long-acting self-administered treatment for patients with HIV infection. This molecule is currently in early clinical trials.

Dataset Information

An expanded model of HIV cell entry phenotype based on multi-parameter single-cell data.

Background

Results

Conclusions

Publications

An expanded model of HIV cell entry phenotype based on multi-parameter single-cell data.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets