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Bioinformatics and HIV Latency

Ciuffi, Angela ; Mohammadi, Pejman ; Golumbeanu, Monica ; di Iulio, Julia ; Telenti, Amalio

In: Current HIV/AIDS Reports, 2015, vol. 12, no. 1, p. 97-106

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    Titre
    • Bioinformatics and HIV Latency
    Auteur
    • Ciuffi, Angela. Institute of Microbiology, University Hospital of Lausanne (CHUV), University of Lausanne, Bugnon 48, 1011, Lausanne, Switzerland
    • Mohammadi, Pejman. Institute of Microbiology, University Hospital of Lausanne (CHUV), University of Lausanne, Bugnon 48, 1011, Lausanne, Switzerland
    • Golumbeanu, Monica. Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
    • di Iulio, Julia. Department of Genetics, Harvard Medical School, Boston, MA, USA
    • Telenti, Amalio. Genetic Medicine, J. Craig Venter Institute, 92037, La Jolla, CA, USA
    Type de document
    • Postprint
    Langue
    • Inglese
    Publié dans
    • Current HIV/AIDS Reports, 2015, vol. 12, no. 1, p. 97-106. Springer US; http://www.springer-ny.com
    Autre version électronique
    Identifiant OAI-PMH
    • oai:doc.rero.ch:332577
    Summary
    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 longcellular 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.