Back to Search
Start Over
Bioinformatics and HIV Latency
- Source :
- Current HIV/AIDS reports, Current HIV/AIDS Reports
- Publication Year :
- 2015
-
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.
- Subjects :
- Proteome
Bioinformatics
Integration
HIV Pathogenesis and Treatment (AL Landay, Section Editor)
Biology
Transcriptome
03 medical and health sciences
Immune system
Transcription (biology)
Virology
Virus latency
medicine
Humans
Latency (engineering)
Cytotoxicity
Organism
030304 developmental biology
0303 health sciences
030302 biochemistry & molecular biology
HIV
Computational Biology
medicine.disease
Virus Latency
3. Good health
Infectious Diseases
Latency
Immunology
Transcription
Subjects
Details
- Volume :
- 12
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Current HIV/AIDS reports
- Accession number :
- edsair.doi.dedup.....869c342f4c5043fe154edd2048eba393
- Full Text :
- https://doi.org/10.1007/s11904-014-0240-x