Evidence map›Paper›PMID 31711503›Full record

ArticleRetrovirology2019

Heterogeneity in HIV and cellular transcription profiles in cell line models of latent and productive infection: implications for HIV latency.

Sushama Telwatte, Sara Morón-López, Dvir Aran, Peggy Kim, Christine Hsieh, Sunil Joshi, Mauricio Montano, Warner C Greene, Atul J Butte, Joseph K Wong and 1 more

Abstract read
In one paragraph

Article in Retrovirology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

43 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  19. Direct Analysis of HIV mRNA mMethods in molecular biology (Clifton, N.J.) · 2024
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Sushama TelwatteSan Francisco VA Medical Center, San Francisco, CA, USA.
Sara Morón-LópezSan Francisco VA Medical Center, San Francisco, CA, USA.
Dvir AranBakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA.
Peggy KimSan Francisco VA Medical Center, San Francisco, CA, USA.
Christine HsiehSan Francisco VA Medical Center, San Francisco, CA, USA.
Sunil JoshiSan Francisco VA Medical Center, San Francisco, CA, USA.
Mauricio MontanoUniversity of California San Francisco, San Francisco, CA, USA.
Warner C GreeneUniversity of California San Francisco, San Francisco, CA, USA.
Atul J ButteBakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA.
Joseph K WongSan Francisco VA Medical Center, San Francisco, CA, USA.
Steven A YuklSan Francisco VA Medical Center, San Francisco, CA, USA. Steven.Yukl@ucsf.edu.ORCID 0000-0002-4578-9872

Funding

Virology CoreP30AI027763 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STEVEN Grant DEEKS · 1988 to 2026
$93.6M
Viral reservoirs and sanctuaries in HAART - treated patients: role and mechanismsU19AI096109 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DEEKS, STEVEN GRANT, MCCUNE, JOSEPH M · 2011 to 2015
$29.5M
Novel single genome approaches to determine the mechanisms of HIV latent infection in blood, gut, and lymph nodesR01DK120387 · NIDDK · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI LICHTERFELD, MATHIAS, YUKL, STEVEN A · 2019 to 2023
$4.1M
Investigating Mechanisms of HIV Persistence in the GutR01DK108349 · NIDDK · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI YUKL, STEVEN A · 2015 to 2019
$2.2M
Understanding HIV latency reversal and clearance of infected cells in vivoR01AI132128 · NIAID · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI WONG, JOSEPH K, YUKL, STEVEN A · 2017 to 2021
$1.9M
Evaluating HIV expression and latency in blood and tissues at the single cell levelR33AI116218 · NIAID · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI WONG, JOSEPH K · 2016 to 2018
$1.4M
Role of Gut Associated Lymphoid Tissue in HIV PersistenceR56AI091573 · NIAID · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI WONG, JOSEPH K · 2011 to 2011
$643k
Tissue Reservoirs of HIV in Victims of Sudden DeathR56AI116342 · NIAID · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI WONG, JOSEPH K · 2015 to 2015
$545k
Defining the stromal landscape that sustains AML drug resistanceF30CA239335 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI JOSHI, SUNIL KUMAR · 2019 to 2022
$187k
BLRD VA I01 BX002690CSRD VA IK2 CX000520National Institute of Allergy and Infectious Diseases R01AI132128National Institute of Allergy and Infectious Diseases R33AI116218National Institute of Allergy and Infectious Diseases R56AI091573National Institute of Allergy and Infectious Diseases R56AI116342National Institute of Allergy and Infectious Diseases U19AI096109NCI NIH HHS F30 CA239335NIAID NIH HHS P30 AI027763NIAID NIH HHS R01 AI132128NIAID NIH HHS R33 AI116218NIAID NIH HHS R56 AI091573NIAID NIH HHS R56 AI116342NIAID NIH HHS U19 AI096109NIDDK NIH HHS R01 DK108349NIDDK NIH HHS R01DK108349NIDDK NIH HHS R01 DK120387NIDDK NIH HHS R01DK120387
6 · The paper itself

Abstract

backgroundHIV-infected cell lines are widely used to study latent HIV infection, which is considered the main barrier to HIV cure. We hypothesized that these cell lines differ from each other and from cells from HIV-infected individuals in the mechanisms underlying latency.

resultsTo quantify the degree to which HIV expression is inhibited by blocks at different stages of HIV transcription, we employed a recently-described panel of RT-ddPCR assays to measure levels of 7 HIV transcripts ("read-through," initiated, 5' elongated, mid-transcribed/unspliced [Pol], distal-transcribed [Nef], polyadenylated, and multiply-sliced [Tat-Rev]) in bulk populations of latently-infected (U1, ACH-2, J-Lat) and productively-infected (8E5, activated J-Lat) cell lines. To assess single-cell variation and investigate cellular genes associated with HIV transcriptional blocks, we developed a novel multiplex qPCR panel and quantified single cell levels of 7 HIV targets and 89 cellular transcripts in latently- and productively-infected cell lines. The bulk cell HIV transcription profile differed dramatically between cell lines and cells from ART-suppressed individuals. Compared to cells from ART-suppressed individuals, latent cell lines showed lower levels of HIV transcriptional initiation and higher levels of polyadenylation and splicing. ACH-2 and J-Lat cells showed different forms of transcriptional interference, while U1 cells showed a block to elongation. Single-cell studies revealed marked variation between/within cell lines in expression of HIV transcripts, T cell phenotypic markers, antiviral factors, and genes implicated in latency. Expression of multiply-spliced HIV Tat-Rev was associated with expression of cellular genes involved in activation, tissue retention, T cell transcription, and apoptosis/survival.

conclusionsHIV-infected cell lines differ from each other and from cells from ART-treated individuals in the mechanisms governing latent HIV infection. These differences in viral and cellular gene expression must be considered when gauging the suitability of a given cell line for future research on HIV. At the same time, some features were shared across cell lines, such as low expression of antiviral defense genes and a relationship between productive infection and genes involved in survival. These features may contribute to HIV latency or persistence in vivo, and deserve further study using novel single cell assays such as those described in this manuscript.

Indexed as

TranscriptomeCell LineDNA, ViralGene Expression Regulation, ViralHIV-1Host Microbial InteractionsHumansJurkat CellsMultiplex Polymerase Chain ReactionRNA, ViralTranscription, GeneticU937 CellsVirus ActivationVirus LatencyDNA, ViralRNA, ViralHIV-1LatencyLatent infectionTranscription

Identifiers

PMID31711503
PMCPMC6849327

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.