Literature DB >> 33465149

Extensive proteomic and transcriptomic changes quench the TCR/CD3 activation signal of latently HIV-1 infected T cells.

Eric Carlin1, Braxton Greer1, Kelsey Lowman1, Alexandra Duverger1, Frederic Wagner1, David Moylan1, Alexander Dalecki1, Shekwonya Samuel1, Mildred Perez1, Steffanie Sabbaj1, Olaf Kutsch1.   

Abstract

The biomolecular mechanisms controlling latent HIV-1 infection, despite their importance for the development of a cure for HIV-1 infection, are only partially understood. For example, ex vivo studies have recently shown that T cell activation only triggered HIV-1 reactivation in a fraction of the latently infected CD4+ T cell reservoir, but the molecular biology of this phenomenon is unclear. We demonstrate that HIV-1 infection of primary T cells and T cell lines indeed generates a substantial amount of T cell receptor (TCR)/CD3 activation-inert latently infected T cells. RNA-level analysis identified extensive transcriptomic differences between uninfected, TCR/CD3 activation-responsive and -inert T cells, but did not reveal a gene expression signature that could functionally explain TCR/CD3 signaling inertness. Network analysis suggested a largely stochastic nature of these gene expression changes (transcriptomic noise), raising the possibility that widespread gene dysregulation could provide a reactivation threshold by impairing overall signal transduction efficacy. Indeed, compounds that are known to induce genetic noise, such as HDAC inhibitors impeded the ability of TCR/CD3 activation to trigger HIV-1 reactivation. Unlike for transcriptomic data, pathway enrichment analysis based on phospho-proteomic data directly identified an altered TCR signaling motif. Network analysis of this data set identified drug targets that would promote TCR/CD3-mediated HIV-1 reactivation in the fraction of otherwise TCR/CD3-reactivation inert latently HIV-1 infected T cells, regardless of whether the latency models were based on T cell lines or primary T cells. The data emphasize that latent HIV-1 infection is largely the result of extensive, stable biomolecular changes to the signaling network of the host T cells harboring latent HIV-1 infection events. In extension, the data imply that therapeutic restoration of host cell responsiveness prior to the use of any activating stimulus will likely have to be an element of future HIV-1 cure therapies.

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Year:  2021        PMID: 33465149      PMCID: PMC7846126          DOI: 10.1371/journal.ppat.1008748

Source DB:  PubMed          Journal:  PLoS Pathog        ISSN: 1553-7366            Impact factor:   6.823


  105 in total

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2.  Recruitment of TFIIH to the HIV LTR is a rate-limiting step in the emergence of HIV from latency.

Authors:  Young Kyeung Kim; Cyril F Bourgeois; Richard Pearson; Mudit Tyagi; Michelle J West; Julian Wong; Shwu-Yuan Wu; Cheng-Ming Chiang; Jonathan Karn
Journal:  EMBO J       Date:  2006-07-27       Impact factor: 11.598

3.  OKT3 and IL-2 treatment for purging of the latent HIV-1 reservoir in vivo results in selective long-lasting CD4+ T cell depletion.

Authors:  R M van Praag; J M Prins; M T Roos; P T Schellekens; I J Ten Berge; S L Yong; H Schuitemaker; A J Eerenberg; S Jurriaans; F de Wolf; C H Fox; J Goudsmit; F Miedema; J M Lange
Journal:  J Clin Immunol       Date:  2001-05       Impact factor: 8.317

4.  Nef-mediated suppression of T cell activation was lost in a lentiviral lineage that gave rise to HIV-1.

Authors:  Michael Schindler; Jan Münch; Olaf Kutsch; Hui Li; Mario L Santiago; Frederic Bibollet-Ruche; Michaela C Müller-Trutwin; Francis J Novembre; Martine Peeters; Valerie Courgnaud; Elizabeth Bailes; Pierre Roques; Donald L Sodora; Guido Silvestri; Paul M Sharp; Beatrice H Hahn; Frank Kirchhoff
Journal:  Cell       Date:  2006-06-16       Impact factor: 41.582

5.  Dysfunctional HIV-specific CD8+ T cell proliferation is associated with increased caspase-8 activity and mediated by necroptosis.

Authors:  Gaurav D Gaiha; Kevin J McKim; Matthew Woods; Thomas Pertel; Janine Rohrbach; Natasha Barteneva; Christopher R Chin; Dongfang Liu; Damien Z Soghoian; Kevin Cesa; Shannon Wilton; Michael T Waring; Adam Chicoine; Travis Doering; E John Wherry; Daniel E Kaufmann; Mathias Lichterfeld; Abraham L Brass; Bruce D Walker
Journal:  Immunity       Date:  2014-12-08       Impact factor: 31.745

6.  High throughput drug screening for human immunodeficiency virus type 1 reactivating compounds.

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8.  Quantitative analysis of phosphotyrosine signaling networks triggered by CD3 and CD28 costimulation in Jurkat cells.

Authors:  Ji-Eun Kim; Forest M White
Journal:  J Immunol       Date:  2006-03-01       Impact factor: 5.422

9.  HTSeq--a Python framework to work with high-throughput sequencing data.

Authors:  Simon Anders; Paul Theodor Pyl; Wolfgang Huber
Journal:  Bioinformatics       Date:  2014-09-25       Impact factor: 6.937

10.  Sensing of HIV-1 by TLR8 activates human T cells and reverses latency.

Authors:  Hany Zekaria Meås; Markus Haug; Marianne Sandvold Beckwith; Claire Louet; Liv Ryan; Zhenyi Hu; Johannes Landskron; Svein Arne Nordbø; Kjetil Taskén; Hang Yin; Jan Kristian Damås; Trude Helen Flo
Journal:  Nat Commun       Date:  2020-01-09       Impact factor: 14.919

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  2 in total

1.  Lentiviral Nef Proteins Differentially Govern the Establishment of Viral Latency.

Authors:  Eric Carlin; Braxton Greer; Kelsey Lowman; Alexander G Dalecki; Alexandra Duverger; Frederic Wagner; Olaf Kutsch
Journal:  J Virol       Date:  2022-03-10       Impact factor: 6.549

2.  Host T Cell Dedifferentiation Effects Drive HIV-1 Latency Stability.

Authors:  Alexander G Dalecki; Braxton D Greer; Alexandra Duverger; Elan L Strange; Eric Carlin; Frederic Wagner; Bi Shi; Kelsey E Lowman; Mildred Perez; Christopher Tidwell; Katarzyna Kaczmarek Michaels; Sophia Giattina; Stefan H Bossmann; Andrew J Henderson; Hui Hu; Olaf Kutsch
Journal:  J Virol       Date:  2022-01-12       Impact factor: 6.549

  2 in total

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