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Temporal transcriptional response to latency reversing agents identifies specific factors regulating HIV-1 viral transcriptional switch

BACKGROUND: Latent HIV-1 reservoirs are identified as one of the major challenges to achieve HIV-1 cure. Currently available strategies are associated with wide variability in outcomes both in patients and CD4(+) T cell models. This underlines the critical need to develop innovative strategies to pr...

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Autores principales: Venkatachari, Narasimhan J., Zerbato, Jennifer M., Jain, Siddhartha, Mancini, Allison E., Chattopadhyay, Ansuman, Sluis-Cremer, Nicolas, Bar-Joseph, Ziv, Ayyavoo, Velpandi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4594640/
https://www.ncbi.nlm.nih.gov/pubmed/26438393
http://dx.doi.org/10.1186/s12977-015-0211-3
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author Venkatachari, Narasimhan J.
Zerbato, Jennifer M.
Jain, Siddhartha
Mancini, Allison E.
Chattopadhyay, Ansuman
Sluis-Cremer, Nicolas
Bar-Joseph, Ziv
Ayyavoo, Velpandi
author_facet Venkatachari, Narasimhan J.
Zerbato, Jennifer M.
Jain, Siddhartha
Mancini, Allison E.
Chattopadhyay, Ansuman
Sluis-Cremer, Nicolas
Bar-Joseph, Ziv
Ayyavoo, Velpandi
author_sort Venkatachari, Narasimhan J.
collection PubMed
description BACKGROUND: Latent HIV-1 reservoirs are identified as one of the major challenges to achieve HIV-1 cure. Currently available strategies are associated with wide variability in outcomes both in patients and CD4(+) T cell models. This underlines the critical need to develop innovative strategies to predict and recognize ways that could result in better reactivation and eventual elimination of latent HIV-1 reservoirs. RESULTS AND DISCUSSION: In this study, we combined genome wide transcriptome datasets post activation with Systems Biology approach (Signaling and Dynamic Regulatory Events Miner, SDREM analyses) to reconstruct a dynamic signaling and regulatory network involved in reactivation mediated by specific activators using a latent cell line. This approach identified several critical regulators for each treatment, which were confirmed in follow-up validation studies using small molecule inhibitors. Results indicate that signaling pathways involving JNK and related factors as predicted by SDREM are essential for virus reactivation by suberoylanilide hydroxamic acid. ERK1/2 and NF-κB pathways have the foremost role in reactivation with prostratin and TNF-α, respectively. JAK-STAT pathway has a central role in HIV-1 transcription. Additional evaluation, using other latent J-Lat cell clones and primary T cell model, also confirmed that many of the cellular factors associated with latency reversing agents are similar, though minor differences are identified. JAK-STAT and NF-κB related pathways are critical for reversal of HIV-1 latency in primary resting T cells. CONCLUSION: These results validate our combinatorial approach to predict the regulatory cellular factors and pathways responsible for HIV-1 reactivation in latent HIV-1 harboring cell line models. JAK-STAT have a role in reversal of latency in all the HIV-1 latency models tested, including primary CD4(+) T cells, with additional cellular pathways such as NF-κB, JNK and ERK 1/2 that may have complementary role in reversal of HIV-1 latency. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12977-015-0211-3) contains supplementary material, which is available to authorized users.
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spelling pubmed-45946402015-10-07 Temporal transcriptional response to latency reversing agents identifies specific factors regulating HIV-1 viral transcriptional switch Venkatachari, Narasimhan J. Zerbato, Jennifer M. Jain, Siddhartha Mancini, Allison E. Chattopadhyay, Ansuman Sluis-Cremer, Nicolas Bar-Joseph, Ziv Ayyavoo, Velpandi Retrovirology Research BACKGROUND: Latent HIV-1 reservoirs are identified as one of the major challenges to achieve HIV-1 cure. Currently available strategies are associated with wide variability in outcomes both in patients and CD4(+) T cell models. This underlines the critical need to develop innovative strategies to predict and recognize ways that could result in better reactivation and eventual elimination of latent HIV-1 reservoirs. RESULTS AND DISCUSSION: In this study, we combined genome wide transcriptome datasets post activation with Systems Biology approach (Signaling and Dynamic Regulatory Events Miner, SDREM analyses) to reconstruct a dynamic signaling and regulatory network involved in reactivation mediated by specific activators using a latent cell line. This approach identified several critical regulators for each treatment, which were confirmed in follow-up validation studies using small molecule inhibitors. Results indicate that signaling pathways involving JNK and related factors as predicted by SDREM are essential for virus reactivation by suberoylanilide hydroxamic acid. ERK1/2 and NF-κB pathways have the foremost role in reactivation with prostratin and TNF-α, respectively. JAK-STAT pathway has a central role in HIV-1 transcription. Additional evaluation, using other latent J-Lat cell clones and primary T cell model, also confirmed that many of the cellular factors associated with latency reversing agents are similar, though minor differences are identified. JAK-STAT and NF-κB related pathways are critical for reversal of HIV-1 latency in primary resting T cells. CONCLUSION: These results validate our combinatorial approach to predict the regulatory cellular factors and pathways responsible for HIV-1 reactivation in latent HIV-1 harboring cell line models. JAK-STAT have a role in reversal of latency in all the HIV-1 latency models tested, including primary CD4(+) T cells, with additional cellular pathways such as NF-κB, JNK and ERK 1/2 that may have complementary role in reversal of HIV-1 latency. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12977-015-0211-3) contains supplementary material, which is available to authorized users. BioMed Central 2015-10-06 /pmc/articles/PMC4594640/ /pubmed/26438393 http://dx.doi.org/10.1186/s12977-015-0211-3 Text en © Venkatachari et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Venkatachari, Narasimhan J.
Zerbato, Jennifer M.
Jain, Siddhartha
Mancini, Allison E.
Chattopadhyay, Ansuman
Sluis-Cremer, Nicolas
Bar-Joseph, Ziv
Ayyavoo, Velpandi
Temporal transcriptional response to latency reversing agents identifies specific factors regulating HIV-1 viral transcriptional switch
title Temporal transcriptional response to latency reversing agents identifies specific factors regulating HIV-1 viral transcriptional switch
title_full Temporal transcriptional response to latency reversing agents identifies specific factors regulating HIV-1 viral transcriptional switch
title_fullStr Temporal transcriptional response to latency reversing agents identifies specific factors regulating HIV-1 viral transcriptional switch
title_full_unstemmed Temporal transcriptional response to latency reversing agents identifies specific factors regulating HIV-1 viral transcriptional switch
title_short Temporal transcriptional response to latency reversing agents identifies specific factors regulating HIV-1 viral transcriptional switch
title_sort temporal transcriptional response to latency reversing agents identifies specific factors regulating hiv-1 viral transcriptional switch
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4594640/
https://www.ncbi.nlm.nih.gov/pubmed/26438393
http://dx.doi.org/10.1186/s12977-015-0211-3
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