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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2015
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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. |
format | Online Article Text |
id | pubmed-4369283 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
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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