Literature DB >> 26343910

Mixed effects of suberoylanilide hydroxamic acid (SAHA) on the host transcriptome and proteome and their implications for HIV reactivation from latency.

Cory H White1, Harvey E Johnston2, Bastiaan Moesker3, Antigoni Manousopoulou4, David M Margolis5, Douglas D Richman6, Celsa A Spina7, Spiros D Garbis8, Christopher H Woelk9, Nadejda Beliakova-Bethell10.   

Abstract

Suberoylanilide hydroxamic acid (SAHA) has been assessed in clinical trials as part of a "shock and kill" strategy to cure HIV-infected patients. While it was effective at inducing expression of HIV RNA ("shock"), treatment with SAHA did not result in a reduction of reservoir size ("kill"). We therefore utilized a combined analysis of effects of SAHA on the host transcriptome and proteome to dissect its mechanisms of action that may explain its limited success in "shock and kill" strategies. CD4+ T cells from HIV seronegative donors were treated with 1μM SAHA or its solvent dimethyl sulfoxide (DMSO) for 24h. Protein expression and post-translational modifications were measured with iTRAQ proteomics using ultra high-precision two-dimensional liquid chromatography-tandem mass spectrometry. Gene expression was assessed by Illumina microarrays. Using limma package in the R computing environment, we identified 185 proteins, 18 phosphorylated forms, 4 acetylated forms and 2982 genes, whose expression was modulated by SAHA. A protein interaction network integrating these 4 data types identified the HIV transcriptional repressor HMGA1 to be upregulated by SAHA at the transcript, protein and acetylated protein levels. Further functional category assessment of proteins and genes modulated by SAHA identified gene ontology terms related to NFκB signaling, protein folding and autophagy, which are all relevant to HIV reactivation. In summary, SAHA modulated numerous host cell transcripts, proteins and post-translational modifications of proteins, which would be expected to have very mixed effects on the induction of HIV-specific transcription and protein function. Proteome profiling highlighted a number of potential counter-regulatory effects of SAHA with respect to viral induction, which transcriptome profiling alone would not have identified. These observations could lead to a more informed selection and design of other HDACi with a more refined targeting profile, and prioritization of latency reversing agents of other classes to be used in combination with SAHA to achieve more potent induction of HIV expression.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Autophagy; HIV latency; HMGA1; Protein folding; Suberoylanilide hydroxamic acid; iTRAQ mass spectrometry

Mesh:

Substances:

Year:  2015        PMID: 26343910      PMCID: PMC5606336          DOI: 10.1016/j.antiviral.2015.09.002

Source DB:  PubMed          Journal:  Antiviral Res        ISSN: 0166-3542            Impact factor:   5.970


  48 in total

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Journal:  Nucleic Acids Res       Date:  2014-03-11       Impact factor: 16.971

10.  Dynamics of HIV latency and reactivation in a primary CD4+ T cell model.

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Journal:  PLoS Pathog       Date:  2014-05-29       Impact factor: 6.823

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  23 in total

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2.  Histone deacetylase inhibitors induce complex host responses that contribute to differential potencies of these compounds in HIV reactivation.

Authors:  Nadejda Beliakova-Bethell; Amey Mukim; Cory H White; Savitha Deshmukh; Hosiana Abewe; Douglas D Richman; Celsa A Spina
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3.  Structure-optimized dihydropyranoindole derivative GIBH-LRA002 potentially reactivated viral latency in primary CD4+ T lymphocytes of chronic HIV-1 patients.

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6.  Micro RNA Targets in HIV Latency: Insights into Novel Layers of Latency Control.

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7.  Small Molecule Inhibitors of BAF; A Promising Family of Compounds in HIV-1 Latency Reversal.

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Review 8.  Are BET Inhibitors yet Promising Latency-Reversing Agents for HIV-1 Reactivation in AIDS Therapy?

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9.  Modeling the Effects of Vorinostat In Vivo Reveals both Transient and Delayed HIV Transcriptional Activation and Minimal Killing of Latently Infected Cells.

Authors:  Ruian Ke; Sharon R Lewin; Julian H Elliott; Alan S Perelson
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10.  Hypothalamus proteomics from mouse models with obesity and anorexia reveals therapeutic targets of appetite regulation.

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