CTNNBL1 restricts HIV-1 replication
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo Sapiens
SUBMITTER: 
Guoxin Liang
PROVIDER: PXD031853 | iProX | Thu Feb 24 00:00:00 GMT 2022
REPOSITORIES: iProX
Similar Datasets
Project description:Distinct integration patterns of different retroviruses have puzzled virologists for over 20 years. The viral integrase (IN), as part of the intasome complex, docks onto the target DNA (tDNA) and catalyzes the insertion of the viral genome into the host chromatin. We identified retroviral IN amino acids directly contacting tDNA bases and affecting the local integration site sequence biases. These residues also determine the propensity of the virus to integrate into flexible tDNA sequences. Remarkably, natural polymorphisms INS119G and INR231G retarget viral integration away from gene dense regions, without affecting the interaction with the lentiviral tethering cofactor LEDGF/p75 (PSIP1). Precisely these variants were associated with rapid disease progression in a chronic HIV-1 subtype C infection cohort. These findings link integration site selection to virulence and viral evolution but also to the host immune response and antiretroviral therapy, since HIV-1 IN119 is under selection by HLA alleles and integrase inhibitors. LEDGF/p75 (PSIP1) ChIP-Seq using A300-848 antibody (recognizes p75 isoform) and input control in primary CD4+ T-cells
2015-01-26 | E-GEOD-61003 | biostudies-arrayexpress
Project description:HIV-1 encounters the hierarchically organized host chromatin to stably integrate and persist in anatomically distinct latent reservoirs. The contribution of genome organization in HIV-1 infection has been largely understudied across different HIV-1 targets. Here we determine HIV-1 integration sites (IS), associate them to chromatin and expression signatures at different genomic scales in a microglia cell model and profile them together with the primary T cell reservoir. HIV-1 insertions into introns of actively transcribed genes with IS hotspots in genic- and super-enhancers, characteristic of blood cells, are maintained in the microglia cell model. Genome organization analysis reveals dynamic CCCTC-binding factor (CTCF) clusters in cells with active and repressed HIV-1 transcription, while CTCF removal impairs viral integration. We identify CTCF-enriched topologically associated domain (TAD) boundaries with signatures of transcriptionally active chromatin as HIV-1 integration determinant in microglia and CD4+ T cells, highlighting the importance of the host genome organization in HIV-1 infection.
2023-01-24 | GSE223638 | GEO
Project description:Wodarz2007 - HIV/CD4 T-cell interaction
A deterministic model illustrating how
CD4 T-cells can influence HIV infection.
This model is described in the article:
Infection dynamics in
HIV-specific CD4 T cells: does a CD4 T cell boost benefit the
host or the virus?
Wodarz D, Hamer DH.
Math Biosci 2007 Sep; 209(1):
14-29
Abstract:
Recent experimental data have shown that HIV-specific CD4 T
cells provide a very important target for HIV replication. We
use mathematical models to explore the effect of specific CD4 T
cell infection on the dynamics of virus spread and immune
responses. Infected CD4 T cells can provide antigen for their
own stimulation. We show that such autocatalytic cell division
can significantly enhance virus spread, and can also provide an
additional reservoir for virus persistence during anti-viral
drug therapy. In addition, the initial number of HIV-specific
CD4 T cells is an important determinant of acute infection
dynamics. A high initial number of HIV-specific CD4 T cells can
lead to a sudden and fast drop of the population of
HIV-specific CD4 T cells which results quickly in their
extinction. On the other hand, a low initial number of
HIV-specific CD4 T cells can lead to a prolonged persistence of
HIV-specific CD4 T cell help at higher levels. The model
suggests that boosting the population of HIV-specific CD4 T
cells can increase the amount of virus-induced immune
impairment, lead to less efficient anti-viral effector
responses, and thus speed up disease progression, especially if
effector responses such as CTL have not been sufficiently
boosted at the same time.
This model is hosted on
BioModels Database
and identified by:
BIOMD0000000663.
To cite BioModels Database, please use:
Chelliah V et al. BioModels: ten-year
anniversary. Nucl. Acids Res. 2015, 43(Database
issue):D542-8.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2018-01-22 | BIOMD0000000663 | BioModels
Project description:The latent reservoir for HIV-1 in resting memory CD4+ T cells is the major barrier to curing HIV-1 infection. Studies of HIV-1 latency have focused on regulation of viral gene expression in cells in which latent infection is established. However, it remains unclear how infection initially becomes latent. Here we described a unique set of properties of CD4+ T cells undergoing effector-to-memory transition including temporary up-regulation of CCR5 expression and rapid down-regulation of cellular gene transcription. These cells allowed completion of steps in the HIV-1 life cycle through integration, but suppressed HIV-1 gene transcription, thus allowing the establishment of latency. CD4+ T cells in this stage were substantially more permissive for HIV-1 latent infection than other CD4+ T cells. Establishment of latent HIV-1 infection in CD4+ T could be inhibited by viral-specific CD8+ T cells, a result with implications for elimination of latent HIV-1 infection by T cell-based vaccines.
2017-09-27 | GSE104275 | GEO
Project description:HIV latency is a major obstacle to curing infection. Current strategies to eradicate HIV aim at increasing transcription of the latent provirus. In the present study we observed that latently infected CD4+ T cells from HIV-infected individuals failed to produce viral particles upon ex vivo exposure to SAHA (vorinostat), despite effective inhibition of histone deacetylases. To identify steps that were not susceptible to the action of SAHA or other latency reverting agents, we used a primary CD4+ T cell model, joint host and viral RNA sequencing, and a viral-encoded reporter. This model served to investigate the characteristics of latently infected cells, the dynamics of HIV latency, and the process of reactivation induced by various stimuli. During latency, we observed persistence of viral transcripts but only limited viral translation. Similarly, the reactivating agents SAHA and disulfiram successfully increased viral transcription, but failed to effectively enhance viral translation, mirroring the ex vivo data. This study highlights the importance of post-transcriptional blocks as one mechanism leading to HIV latency that needs to be relieved in order to purge the viral reservoir.
2017-02-24 | GSE95297 | GEO
Project description:This a model from the article:
Understanding the slow depletion of memory CD4+ T cells in HIV infection.
Yates A, Stark J, Klein N, Antia R, Callard R. PLoS Med.
2007;4(5):e177. 17518516
,
Abstract:
BACKGROUND: The asymptomatic phase of HIV infection is characterised by a slow decline of peripheral blood CD4(+) T cells. Why this decline is slow is not understood. One potential explanation is that the low average rate of homeostatic proliferation or immune activation dictates the pace of a "runaway" decline of memory CD4(+) T cells, in which activation drives infection, higher viral loads, more recruitment of cells into an activated state, and further infection events. We explore this hypothesis using mathematical models. METHODS AND FINDINGS: Using simple mathematical models of the dynamics of T cell homeostasis and proliferation, we find that this mechanism fails to explain the time scale of CD4(+) memory T cell loss. Instead it predicts the rapid attainment of a stable set point, so other mechanisms must be invoked to explain the slow decline in CD4(+) cells. CONCLUSIONS: A runaway cycle in which elevated CD4(+) T cell activation and proliferation drive HIV production and vice versa cannot explain the pace of depletion during chronic HIV infection. We summarize some alternative mechanisms by which the CD4(+) memory T cell homeostatic set point might slowly diminish. While none are mutually exclusive, the phenomenon of viral rebound, in which interruption of antiretroviral therapy causes a rapid return to pretreatment viral load and T cell counts, supports the model of virus adaptation as a major force driving depletion.
This model was taken from the CellML repository
and automatically converted to SBML.
The original model was:
Yates A, Stark J, Klein N, Antia R, Callard R. (2007) - version03
The original CellML model was created by:
Lloyd, Catherine, May
c.lloyd@aukland.ac.nz
The University of Auckland
The Bioengineering Institute
This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2011 The BioModels.net Team.
To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication
for more information.
In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not..
To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.
2005-01-01 | MODEL4028801312 | BioModels
Project description:HIV-1 spreads between CD4 T cells most efficiently through virus-induced cell-cell contacts. To test whether this process potentiates viral spread by activating signaling pathways we developed an approach to analyze the phosphoproteome in infected and uninfected mixed population T cells using differential metabolic labeling and mass spectrometry. We discovered HIV-1 induced activation of signaling networks during viral spread encompassing over 200 cellular proteins. Strikingly, pathways downstream of T cell receptor were the most significantly activated, despite the absence of canonical antigen dependent stimulation. The importance of this pathway was demonstrated by depletion of proteins and we show that HIV-1 Env mediated cell-cell contact, T cell receptor and the Src kinase Lck were essential for signaling dependent enhancement of viral dissemination. This study demonstrates that manipulation of signaling at immune cell contacts by HIV-1 is essential for promoting virus replication and defines a new paradigm for antigen independent T cell signaling.
2022-02-28 | PXD005658 | Pride
Project description:A new mechanism is proposed for the apparent breakthrough of HIV that occurs approximately 6 months after the commencement of therapy with zidovudine (AZT). Using a simple mathematical model of the interacting population dynamics of HIV and its major host cell in the circulation (the CD4+ lymphocyte), predicted patterns of HIV plasma viraemia in the weeks following treatment with zidovudine are generated. These are in close agreement with observed patterns despite the fact that the model contains no mechanisms for the development of drug-resistant strains of virus. It is suggested that the patterns of viral abundance observed during the first 6 months after treatment may be the result of non-linearities in the interactions between HIV and CD4+ cells, and that it is only after the first post-treatment burst of viral production that drug resistance plays an important role.
2020-10-15 | BIOMD0000000967 | BioModels
Project description:Distinct integration patterns of different retroviruses have puzzled virologists for over 20 years. The viral integrase (IN), as part of the intasome complex, docks onto the target DNA (tDNA) and catalyzes the insertion of the viral genome into the host chromatin. We identified retroviral IN amino acids directly contacting tDNA bases and affecting the local integration site sequence biases. These residues also determine the propensity of the virus to integrate into flexible tDNA sequences. Remarkably, natural polymorphisms INS119G and INR231G retarget viral integration away from gene dense regions, without affecting the interaction with the lentiviral tethering cofactor LEDGF/p75 (PSIP1). Precisely these variants were associated with rapid disease progression in a chronic HIV-1 subtype C infection cohort. These findings link integration site selection to virulence and viral evolution but also to the host immune response and antiretroviral therapy, since HIV-1 IN119 is under selection by HLA alleles and integrase inhibitors.
2015-01-26 | GSE61003 | GEO
Project description:Host directed therapies against HIV-1 are thought to be critical for long term containment of the HIV-1 pandemic but remain elusive. Since HIV-1 infects and manipulates important effectors of both the innate and adaptive immune system, identifying modulations of the host cell systems in humans during HIV-1 infection may be crucial for the development of immune based therapies. Here, we quantified the changes of the proteome in human CD4+ T cells upon HIV-1 infection, both in vitro and in vivo. A SWATH-MS approach was used to measure the proteome of human primary CD4+ T cells infected with HIV-1 in vitro as well as CD4+ T cells from HIV-1 infected patients with paired samples on and off antiretroviral treatment. In the in vitro experiment, the proteome of CD4+ T cells was quantified over a time course following HIV-1 infection. 1,725 host cell proteins and 4 HIV-1 proteins were quantified, with 145 proteins changing significantly during the time course. Changes in the proteome peaked 24 hours after infection, concomitantly with significant HIV-1 protein production. In the in vivo branch of the study, CD4+ T cells from viremic patients and those with no detectable viral load after treatment were sorted and the proteomes quantified. We consistently detected 895 proteins, 172 of which were considered to be significantly different between viraemic patients and patients undergoing successful treatment. The proteome of in vitro infected CD4+ T cells was modulated on multiple functional levels, including TLR-4 signalling and the type 1 interferon signalling pathway. Perturbations in the type 1 interferon signalling pathway were recapitulated in CD4+ T cells from patients. The study shows that proteome maps generated by SWATH-MS indicate a range of functionally significant changes in the proteome of HIV infected human CD4+ T cells. Exploring these perturbations in more detail may help identify new targets for immune based interventions.
2017-02-28 | PXD005234 | Pride