Literature DB >> 29694901

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

Monica Golumbeanu1, Sara Cristinelli2, Sylvie Rato2, Miguel Munoz2, Matthias Cavassini3, Niko Beerenwinkel4, Angela Ciuffi5.   

Abstract

Despite effective treatment, HIV can persist in latent reservoirs, which represent a major obstacle toward HIV eradication. Targeting and reactivating latent cells is challenging due to the heterogeneous nature of HIV-infected cells. Here, we used a primary model of HIV latency and single-cell RNA sequencing to characterize transcriptional heterogeneity during HIV latency and reactivation. Our analysis identified transcriptional programs leading to successful reactivation of HIV expression.
Copyright © 2018 The Author(s). Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  HIV; cure; heterogeneity; inducible cell; latency; reactivation; scRNA-seq; signature; single cell; transcriptome

Mesh:

Year:  2018        PMID: 29694901     DOI: 10.1016/j.celrep.2018.03.102

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


  40 in total

1.  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
Journal:  Proc Natl Acad Sci U S A       Date:  2021-03-16       Impact factor: 11.205

2.  Cell lineage and communication network inference via optimization for single-cell transcriptomics.

Authors:  Shuxiong Wang; Matthew Karikomi; Adam L MacLean; Qing Nie
Journal:  Nucleic Acids Res       Date:  2019-06-20       Impact factor: 16.971

3.  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

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

Authors:  Todd Bradley; Guido Ferrari; Barton F Haynes; David M Margolis; Edward P Browne
Journal:  Cell Rep       Date:  2018-10-02       Impact factor: 9.423

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

Authors:  Jack A Collora; Runxia Liu; Kristen Albrecht; Ya-Chi Ho
Journal:  Curr Opin HIV AIDS       Date:  2021-01       Impact factor: 4.283

Review 6.  HIV persistence in subsets of CD4+ T cells: 50 shades of reservoirs.

Authors:  Rémi Fromentin; Nicolas Chomont
Journal:  Semin Immunol       Date:  2020-11-30       Impact factor: 11.130

7.  Interactions of Monocytes, HIV, and ART Identified by an Innovative scRNAseq Pipeline: Pathways to Reservoirs and HIV-Associated Comorbidities.

Authors:  Howard S Fox; Joan W Berman; Rosiris León-Rivera; Brenda Morsey; Meng Niu
Journal:  mBio       Date:  2020-07-28       Impact factor: 7.867

Review 8.  Microfluidics in Single-Cell Virology: Technologies and Applications.

Authors:  Wu Liu; Hongzhang He; Si-Yang Zheng
Journal:  Trends Biotechnol       Date:  2020-05-16       Impact factor: 19.536

Review 9.  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

Review 10.  The Role of Single-Cell Technology in the Study and Control of Infectious Diseases.

Authors:  Weikang Nicholas Lin; Matthew Zirui Tay; Ri Lu; Yi Liu; Chia-Hung Chen; Lih Feng Cheow
Journal:  Cells       Date:  2020-06-10       Impact factor: 6.600

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.