title: Bioinformatics and HIV latency.
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.
authors.affiliation: Institute of Microbiology, University Hospital of Lausanne (CHUV), University of Lausanne, Bugnon 48, 1011, Lausanne, Switzerland, angela.ciuffi@chuv.ch.
authors.forename: Angela
authors.initials: A
authors.lastname: Ciuffi
authors.forename: Pejman
authors.initials: P
authors.lastname: Mohammadi
authors.forename: Monica
authors.initials: M
authors.lastname: Golumbeanu
authors.forename: Julia
authors.initials: J
authors.lastname: di Iulio
authors.forename: Amalio
authors.initials: A
authors.lastname: Telenti
mesh_terms: D019295:Computational Biology / Q000379:methods*; D006678:HIV / Q000502:physiology*; D006801:Humans; D017735:Virus Latency / Q000502:physiology*