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Bioinformatics and HIV latency.
Ciuffi, Angela; Mohammadi, Pejman; Golumbeanu, Monica; di Iulio, Julia; Telenti, Amalio.
Afiliación
  • Ciuffi A; Institute of Microbiology, University Hospital of Lausanne (CHUV), University of Lausanne, Bugnon 48, 1011, Lausanne, Switzerland, angela.ciuffi@chuv.ch.
Curr HIV/AIDS Rep ; 12(1): 97-106, 2015 Mar.
Article en En | MEDLINE | ID: mdl-25586146
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: VIH / Latencia del Virus / Biología Computacional Límite: Humans Idioma: En Revista: AIDS Rep Asunto de la revista: SINDROME DA IMUNODEFICIENCIA ADQUIRIDA (AIDS) Año: 2015 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: VIH / Latencia del Virus / Biología Computacional Límite: Humans Idioma: En Revista: AIDS Rep Asunto de la revista: SINDROME DA IMUNODEFICIENCIA ADQUIRIDA (AIDS) Año: 2015 Tipo del documento: Article