Fiche du document
2015
- doi: 10.1007/s11904-014-0240-x
- issn: 1548-3568
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/doi/10.1007/s11904-014-0240-x
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/pmid/25586146
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/eissn/1548-3576
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/urn/urn:nbn:ch:serval-BIB_5E5CD9550AD33
info:eu-repo/semantics/openAccess , Copying allowed only for non-profit organizations , https://serval.unil.ch/disclaimer
Sujets proches
Therapy Hours (Time) Thymus-dependent lymphocytes Thymus-derived cells T lymphocytes Thymus-dependent cells Man-made lakes Artificial lakes Lakes, Artificial Lakes, Man-made Tanks (Reservoirs) Size of particles Retention (Psychology) Produce Agricultural products Agricultural commodities Understanding Biological informatics Bio-informaticsCiter ce document
A. Ciuffi et al., « Bioinformatics and HIV Latency. », Serveur académique Lausannois, ID : 10.1007/s11904-014-0240-x
Métriques
Partage / Export
Résumé
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.