Literature DB >> 30282021

Single-Cell Analysis of Quiescent HIV Infection Reveals Host Transcriptional Profiles that Regulate Proviral Latency.

Todd Bradley1, Guido Ferrari1, Barton F Haynes1, David M Margolis2, Edward P Browne3.   

Abstract

A detailed understanding of the mechanisms that establish or maintain the latent reservoir of HIV will guide approaches to eliminate persistent infection. We used a cell line and primary cell models of HIV latency to investigate viral RNA (vRNA) expression and the role of the host transcriptome using single-cell approaches. Single-cell vRNA quantitation identified distinct populations of cells expressing various levels of vRNA, including completely silent populations. Strikingly, single-cell RNA-seq of latently infected primary cells demonstrated that HIV downregulation occurred in diverse transcriptomic environments but was significantly associated with expression of a specific set of cellular genes. In particular, latency was more frequent in cells expressing a transcriptional signature that included markers of naive and central memory T cells. These data reveal that expression of HIV proviruses within the latent reservoir are influenced by the host cell transcriptional program. Therapeutic modulation of these programs may reverse or enforce HIV latency.
Copyright © 2018 The Author(s). Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  HIV; latency; scRNA-seq

Year:  2018        PMID: 30282021      PMCID: PMC6258175          DOI: 10.1016/j.celrep.2018.09.020

Source DB:  PubMed          Journal:  Cell Rep            Impact factor:   9.423


  54 in total

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Journal:  Nat Med       Date:  2003-05-18       Impact factor: 53.440

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Authors:  John K Bui; John W Mellors; Anthony R Cillo
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Journal:  Virology       Date:  2006-08-17       Impact factor: 3.616

4.  HIV latency in isolated patient CD4+ T cells may be due to blocks in HIV transcriptional elongation, completion, and splicing.

Authors:  Steven A Yukl; Philipp Kaiser; Peggy Kim; Sushama Telwatte; Sunil K Joshi; Mai Vu; Harry Lampiris; Joseph K Wong
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5.  Anti-apoptotic Protein BIRC5 Maintains Survival of HIV-1-Infected CD4+ T Cells.

Authors:  Hsiao-Hsuan Kuo; Rushdy Ahmad; Guinevere Q Lee; Ce Gao; Hsiao-Rong Chen; Zhengyu Ouyang; Matthew J Szucs; Dhohyung Kim; Athe Tsibris; Tae-Wook Chun; Emilie Battivelli; Eric Verdin; Eric S Rosenberg; Steven A Carr; Xu G Yu; Mathias Lichterfeld
Journal:  Immunity       Date:  2018-05-22       Impact factor: 31.745

6.  Single-Cell RNA Sequencing of Human T Cells.

Authors:  Alexandra-Chloé Villani; Karthik Shekhar
Journal:  Methods Mol Biol       Date:  2017

7.  Single-Cell RNA-Seq Reveals Transcriptional Heterogeneity in Latent and Reactivated HIV-Infected Cells.

Authors:  Monica Golumbeanu; Sara Cristinelli; Sylvie Rato; Miguel Munoz; Matthias Cavassini; Niko Beerenwinkel; Angela Ciuffi
Journal:  Cell Rep       Date:  2018-04-24       Impact factor: 9.423

8.  Small-molecule screening using a human primary cell model of HIV latency identifies compounds that reverse latency without cellular activation.

Authors:  Hung-Chih Yang; Sifei Xing; Liang Shan; Karen O'Connell; Jason Dinoso; Anding Shen; Yan Zhou; Cynthia K Shrum; Yefei Han; Jun O Liu; Hao Zhang; Joseph B Margolick; Robert F Siliciano
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9.  Single-cell genomics: coming of age.

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Authors:  Pejman Mohammadi; Julia di Iulio; Miguel Muñoz; Raquel Martinez; István Bartha; Matthias Cavassini; Christian Thorball; Jacques Fellay; Niko Beerenwinkel; Angela Ciuffi; Amalio Telenti
Journal:  PLoS Pathog       Date:  2014-05-29       Impact factor: 6.823

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  41 in total

1.  Defining stable reference genes in HIV latency reversal experiments.

Authors:  Cristina Ceriani; Gabrielle S Streeter; Kena J Lemu; Katherine S James; Simon Ghofrani; Brigitte Allard; Bonnie E Shook-Sa; David M Margolis; Nancie M Archin
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2.  A functional screen identifies transcriptional networks that regulate HIV-1 and HIV-2.

Authors:  Kyle D Pedro; Luis M Agosto; Jared A Sewell; Kimberly A Eberenz; Xianbao He; Juan I Fuxman Bass; Andrew J Henderson
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Review 4.  Curing HIV: Seeking to Target and Clear Persistent Infection.

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Journal:  Cell       Date:  2020-03-26       Impact factor: 41.582

Review 5.  The single-cell landscape of immunological responses of CD4+ T cells in HIV versus severe acute respiratory syndrome coronavirus 2.

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6.  μ-Lat: A mouse model to evaluate human immunodeficiency virus eradication strategies.

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Review 7.  HIV persistence in subsets of CD4+ T cells: 50 shades of reservoirs.

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Review 10.  Leveraging Novel Integrated Single-Cell Analyses to Define HIV-1 Latency Reversal.

Authors:  Suhui Zhao; Athe Tsibris
Journal:  Viruses       Date:  2021-06-22       Impact factor: 5.048

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