Ciuffi, AngelaMohammadi, PejmanGolumbeanu, Monicadi Iulio, JuliaTelenti, Amalio2015-04-012015Ciuffi, Angela, Pejman Mohammadi, Monica Golumbeanu, Julia di Iulio, and Amalio Telenti. 2015. “Bioinformatics and HIV Latency.” Current HIV/AIDS Reports 12 (1): 97-106. doi:10.1007/s11904-014-0240-x. http://dx.doi.org/10.1007/s11904-014-0240-x.1548-3568http://nrs.harvard.edu/urn-3:HUL.InstRepos:14351243Despite 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.en-USHIVLatencyBioinformaticsIntegrationTranscriptionTranscriptomeProteomeJournal Article2015-04-0110.1007/s11904-014-0240-x