Bioinformatics and HIV Latency.

Details

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State: Public
Version: Final published version
Serval ID
serval:BIB_5E5CD9550AD3
Type
Article: article from journal or magazin.
Publication sub-type
Review (review): journal as complete as possible of one specific subject, written based on exhaustive analyses from published work.
Collection
Publications
Institution
Title
Bioinformatics and HIV Latency.
Journal
Current Hiv/aids Reports
Author(s)
Ciuffi A., Mohammadi P., Golumbeanu M., di Iulio J., Telenti A.
ISSN
1548-3576 (Electronic)
ISSN-L
1548-3568
Publication state
Published
Issued date
2015
Peer-reviewed
Oui
Volume
12
Number
1
Pages
97-106
Language
english
Abstract
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.
Pubmed
Web of science
Open Access
Yes
Create date
18/04/2015 12:29
Last modification date
20/08/2019 14:16
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