Systems biology applications to study mechanisms of human immunodeficiency virus latency and reactivation

Details

Ressource 1Download: White-Moesker-Ciuffi and Beliakova-Bethell (Systems biology HIV latency review), WJCID 2016.pdf (1451.14 [Ko])
State: Public
Version: Final published version
Serval ID
serval:BIB_FB3741642DC8
Type
Article: article from journal or magazin.
Publication sub-type
Review (review): journal as complete as possible of one specific subject, written based on exhaustive analyses from published work.
Collection
Publications
Institution
Title
Systems biology applications to study mechanisms of human immunodeficiency virus latency and reactivation
Journal
World Journal of Clinical Infectious Diseases
Author(s)
White Cory H, Moesker Bastiaan, Ciuffi Angela, Beliakova-Bethell Nadejda
ISSN
2220-3176 (online)
Publication state
Published
Issued date
25/05/2016
Peer-reviewed
Oui
Volume
6
Number
2
Pages
6-21
Language
english
Abstract
Eradication of human immunodeficiency virus (HIV) in infected individuals is currently not possible because of the presence of the persistent cellular reservoir of latent infection. The identification of HIV latency biomarkers and a better understanding of the molecular mechanisms contributing to regulation of HIV expression might provide essential tools to eliminate these latently infected cells. This review aims at summarizing gene expression profiling and systems biology applications to studies of HIV latency and eradication. Studies comparing gene expression in latently infected and uninfected cells identify candidate latency biomarkers and novel mechanisms of latency control. Studies that profiled gene expression changes induced by existing latency reversing agents (LRAs) highlight uniting themes driving HIV reactivation and novel mechanisms that contribute to regulation of HIV expression by different LRAs. Among the reviewed gene expression studies, the common approaches included identification of differentially expressed genes and gene functional category assessment. Integration of transcriptomic data with other biological data types is presently scarce, and the field would benefit from increased adoption of these methods in future studies. In addition, designing prospective studies that use the same methods of data acquisition and statistical analyses will facilitate a more reliable identification of latency biomarkers using different model systems and the comparison of the effects of different LRAs on host factors with a role in HIV reactivation. The results from such studies would have the potential to significantly impact the process by which candidate drugs are selected and combined for future evaluations and advancement to clinical trials.
Keywords
Gene expression, Microarrays, RNA-Seq, Systems biology, Human immunodeficiency virus, Viral latency, Disease eradication, Biomarkers, Molecular mechanisms, Latency reversing agents
Open Access
Yes
Create date
13/02/2017 15:09
Last modification date
20/08/2019 16:26
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