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Bioinformatics and HIV Latency

Despite effective treatment, HIV is not completely eliminated from the infected organism because of the existence of viral reservoirs. A major reservoir consists of infected resting CD4+ T cells, mostly of memory type, that persist over time due to the stable proviral insertion and a long cellular l...

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Autores principales: Ciuffi, Angela, Mohammadi, Pejman, Golumbeanu, Monica, di Iulio, Julia, Telenti, Amalio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4369283/
https://www.ncbi.nlm.nih.gov/pubmed/25586146
http://dx.doi.org/10.1007/s11904-014-0240-x
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author Ciuffi, Angela
Mohammadi, Pejman
Golumbeanu, Monica
di Iulio, Julia
Telenti, Amalio
author_facet Ciuffi, Angela
Mohammadi, Pejman
Golumbeanu, Monica
di Iulio, Julia
Telenti, Amalio
author_sort Ciuffi, Angela
collection PubMed
description Despite effective treatment, HIV is not completely eliminated from the infected organism because of the existence of viral reservoirs. A major reservoir consists of infected resting CD4+ T cells, mostly of memory type, that persist over time due to the stable proviral insertion and a long cellular lifespan. Resting cells do not produce viral particles and are protected from viral-induced cytotoxicity or immune killing. However, these latently infected cells can be reactivated by stochastic events or by external stimuli. The present review focuses on novel genome-wide technologies applied to the study of integration, transcriptome, and proteome characteristics and their recent contribution to the understanding of HIV latency.
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spelling pubmed-43692832015-03-26 Bioinformatics and HIV Latency Ciuffi, Angela Mohammadi, Pejman Golumbeanu, Monica di Iulio, Julia Telenti, Amalio Curr HIV/AIDS Rep HIV Pathogenesis and Treatment (AL Landay, Section Editor) Despite effective treatment, HIV is not completely eliminated from the infected organism because of the existence of viral reservoirs. A major reservoir consists of infected resting CD4+ T cells, mostly of memory type, that persist over time due to the stable proviral insertion and a long cellular lifespan. Resting cells do not produce viral particles and are protected from viral-induced cytotoxicity or immune killing. However, these latently infected cells can be reactivated by stochastic events or by external stimuli. The present review focuses on novel genome-wide technologies applied to the study of integration, transcriptome, and proteome characteristics and their recent contribution to the understanding of HIV latency. Springer US 2015-01-14 2015 /pmc/articles/PMC4369283/ /pubmed/25586146 http://dx.doi.org/10.1007/s11904-014-0240-x Text en © The Author(s) 2015 https://creativecommons.org/licenses/by/4.0/ Open Access This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
spellingShingle HIV Pathogenesis and Treatment (AL Landay, Section Editor)
Ciuffi, Angela
Mohammadi, Pejman
Golumbeanu, Monica
di Iulio, Julia
Telenti, Amalio
Bioinformatics and HIV Latency
title Bioinformatics and HIV Latency
title_full Bioinformatics and HIV Latency
title_fullStr Bioinformatics and HIV Latency
title_full_unstemmed Bioinformatics and HIV Latency
title_short Bioinformatics and HIV Latency
title_sort bioinformatics and hiv latency
topic HIV Pathogenesis and Treatment (AL Landay, Section Editor)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4369283/
https://www.ncbi.nlm.nih.gov/pubmed/25586146
http://dx.doi.org/10.1007/s11904-014-0240-x
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