Literature DB >> 32668246

Multiomics Investigation Revealing the Characteristics of HIV-1-Infected Cells In Vivo.

Hirofumi Aso1, Shumpei Nagaoka2, Eiryo Kawakami3, Jumpei Ito2, Saiful Islam4, Benjy Jek Yang Tan4, Shinji Nakaoka5, Koichi Ashizaki6, Katsuyuki Shiroguchi7, Yutaka Suzuki8, Yorifumi Satou4, Yoshio Koyanagi9, Kei Sato10.   

Abstract

For eradication of HIV-1 infection, it is important to elucidate the detailed features and heterogeneity of HIV-1-infected cells in vivo. To reveal multiple characteristics of HIV-1-producing cells in vivo, we use a hematopoietic-stem-cell-transplanted humanized mouse model infected with GFP-encoding replication-competent HIV-1. We perform multiomics experiments using recently developed technology to identify the features of HIV-1-infected cells. Genome-wide HIV-1 integration-site analysis reveals that productive HIV-1 infection tends to occur in cells with viral integration into transcriptionally active genomic regions. Bulk transcriptome analysis reveals that a high level of viral mRNA is transcribed in HIV-1-infected cells. Moreover, single-cell transcriptome analysis shows the heterogeneity of HIV-1-infected cells, including CXCL13high cells and a subpopulation with low expression of interferon-stimulated genes, which can contribute to efficient viral spread in vivo. Our findings describe multiple characteristics of HIV-1-producing cells in vivo, which could provide clues for the development of an HIV-1 cure.
Copyright © 2020 The Author(s). Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  HIV; genome; humanized mouse; multiomics; transcriptome

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Year:  2020        PMID: 32668246     DOI: 10.1016/j.celrep.2020.107887

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


  2 in total

Review 1.  SARS-CoV-2 Portrayed against HIV: Contrary Viral Strategies in Similar Disguise.

Authors:  Ralf Duerr; Keaton M Crosse; Ana M Valero-Jimenez; Meike Dittmann
Journal:  Microorganisms       Date:  2021-06-27

2.  Consensus transcriptional regulatory networks of coronavirus-infected human cells.

Authors:  Scott A Ochsner; Rudolf T Pillich; Neil J McKenna
Journal:  Sci Data       Date:  2020-09-22       Impact factor: 6.444

  2 in total

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