Review
Copyright ©The Author(s) 2016. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Clin Infect Dis. May 25, 2016; 6(2): 6-21
Published online May 25, 2016. doi: 10.5495/wjcid.v6.i2.6
Systems biology applications to study mechanisms of human immunodeficiency virus latency and reactivation
Cory H White, Bastiaan Moesker, Angela Ciuffi, Nadejda Beliakova-Bethell
Cory H White, Graduate Program in Bioinformatics and Systems Biology, University of California San Diego, La Jolla, CA 92093, United States
Cory H White, San Diego VA Medical Center and Veterans Medical Research Foundation, San Diego, CA 92161, United States
Bastiaan Moesker, Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, Hants SO16 6YD, United Kingdom
Angela Ciuffi, Institute of Microbiology, University Hospital of Lausanne (CHUV) and University of Lausanne, 1011 Lausanne, Switzerland
Nadejda Beliakova-Bethell, Department of Medicine, University of California San Diego, La Jolla, CA 92093, United States
Author contributions: All authors contributed equally to this paper with conception and design of the study, literature review and interpretation, manuscript preparation and approval of the final version.
Supported by The grant from the National Institutes of Health, Martin Delaney Collaboratory of AIDS Researchers for Eradication (CARE, U19 AI 096113); the Swiss National Science Foundation (grant 31003A_146579); and the University of California, San Diego Fellowships for Graduate Researchers, Frontiers of Innovation Scholars Program.
Conflict-of-interest statement: No potential conflict of interest.
Open-Access: This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Correspondence to: Nadejda Beliakova-Bethell, PhD, Department of Medicine, University of California San Diego, Stein Clinical Research Building, Rm. 303, 9500 Gilman Drive, #0679, La Jolla, CA 92093, United States. nbeliako@ucsd.edu
Telephone: +1-858-5528585 Fax: +1-858-5527445
Received: September 30, 2015
Peer-review started: October 7, 2015
First decision: November 30, 2015
Revised: January 15, 2016
Accepted: March 7, 2016
Article in press: March 9, 2016
Published online: May 25, 2016
Processing time: 233 Days and 7 Hours
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

Core tip: Gene expression profiling and systems biology methods are reviewed with respect to their possible application in the field of human immunodeficiency virus (HIV) research. Studies profiling gene expression in latently infected and uninfected cells are summarized to illustrate application of these methods to identification of latency biomarkers and the molecular mechanisms contributing to regulation of HIV expression. Studies that measure changes in host and HIV gene expression upon treatment with latency reversing agents (LRAs) highlight uniting themes driving HIV reactivation and identify novel mechanisms of action of LRAs. The field will further benefit from increased adoption of systems biology methods in future studies.