Proteomic Profiling of a Primary CD4 + T Cell Model of HIV-1 Latency Identifies Proteins Whose Differential Expression Correlates with Reactivation of Latent HIV-1

• Published in: AIDS research and human retroviruses Vol. 34; no. 1; p. 103
• Main Authors: Saha, Jamaluddin Md, Liu, Hongbing, Hu, Pei-Wen, Nikolai, Bryan C, Wu, Hulin, Miao, Hongyu, Rice, Andrew P
• Format: Journal Article
• Language: English
• Published: United States 01.01.2018
• Subjects: CD4-Positive T-Lymphocytes - drug effects; CD4-Positive T-Lymphocytes - virology; Cells, Cultured; Chemokine CCL19 - genetics; Gene Expression Profiling; Gene Expression Regulation, Viral; HIV Infections - virology; HIV-1 - genetics; HIV-1 - physiology; Humans; Ionomycin - pharmacology; Protein Interaction Maps; Proteomics; Tetradecanoylphorbol Acetate - pharmacology; Virus Activation; Virus Latency; Virus Replication; reactivation; HIV; proteomics; CCL19 model; latency
• ISSN: 1931-8405
• DOI: 10.1089/aid.2017.0077

The latent HIV-1 reservoir of memory CD4 T cells that persists during combination antiviral therapy prevents a cure of infection. Insight into mechanisms of latency and viral reactivation are essential for the rational design of strategies to reduce the latent reservoir. In this study, we quantified the levels of >2,600 proteins in the CCL19 primary CD4 T cell model of HIV-1 latency. We profiled proteins under conditions that promote latent infection and after cells were treated with phorbol 12-myristate 13-acetate (PMA) + ionomycin, which is known to efficiently induce reactivation of latent HIV-1. In an analysis of cells from two healthy blood donors, we identified 61 proteins that were upregulated ≥2-fold, and 36 proteins that were downregulated ≥2-fold under conditions in which latent viruses were reactivated. These differentially expressed proteins are, therefore, candidates for cellular factors that regulate latency or viral reactivation. Two unexpected findings were obtained from the proteomic data: (1) the interactions among the majority of upregulated proteins are largely undetermined in published protein-protein interaction networks and (2) downregulated proteins are strongly associated with Gene Ontology terms related to mitochondrial protein synthesis. This proteomic data set provides a useful resource for future mechanistic studies of HIV-1 latency.