Evidence map›Paper›PMID 31116788›Full record

ArticlePLoS pathogens2019

Strength of T cell signaling regulates HIV-1 replication and establishment of latency.

Matthew Gagne, Daniel Michaels, Gillian M Schiralli Lester, Suryaram Gummuluru, Wilson W Wong, Andrew J Henderson

Open access · goldAbstract read
In one paragraph

Article in PLoS pathogens, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.9field-weighted citation impact, top 15% of its field
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

17 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
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  12. A functional screen identifies transcriptional networks that regulate HIV-1 and HIV-2.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  13. Article
  14. Review
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  17. The multifaceted nature of HIV latency.The Journal of clinical investigation · 2020
    Review
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

6 authors at 2 institutions in 1 country.

Matthew GagneDepartment of Microbiology, Boston University School of Medicine, Boston, MA, United States of America.
Daniel MichaelsDepartment of Microbiology, Boston University School of Medicine, Boston, MA, United States of America.
Gillian M Schiralli LesterDepartment of Pediatrics, Neonatology, School of Medicine and Dentistry, University of Rochester Medical Center, Rochester, NY, United States of America.ORCID 0000-0002-1750-7751
Suryaram GummuluruDepartment of Microbiology, Boston University School of Medicine, Boston, MA, United States of America.ORCID 0000-0002-8606-8481
Wilson W WongDepartment of Biomedical Engineering, Boston University, Boston, MA, United States of America.
Andrew J HendersonDepartment of Microbiology, Boston University School of Medicine, Boston, MA, United States of America.ORCID 0000-0002-9299-5302
Boston University · USUniversity of Rochester Medical Center · US

Funding

Translational ScienceP30AI042853 · NIAID · MIRIAM HOSPITAL · PI CURT G BECKWITH · 1998 to 2026
$51.7M
Mechanism of cell-associated HIV-1 transmissionR01AI064099 · NIAID · BOSTON UNIVERSITY MEDICAL CAMPUS · PI GUMMULURU, SURYARAM · 2005 to 2020
$5.9M
Signals that establish and maintain HIV latencyR01AI138960 · NIAID · BOSTON MEDICAL CENTER · PI HENDERSON, ANDREW J · 2018 to 2022
$2.2M
Transcription mechanisms that contribute to HIV-1 latencyR01AI097117 · NIAID · BOSTON MEDICAL CENTER · PI HENDERSON, ANDREW J · 2013 to 2016
$1.7M
Transcriptional mechanisms that contribute to HIV-1 latencyR56AI097117 · NIAID · BOSTON MEDICAL CENTER · PI HENDERSON, ANDREW J · 2011 to 2011
$433k
Effects of Differential T Cell Associated Signals on HIV InfectionF31AI129195 · NIAID · BOSTON MEDICAL CENTER · PI GAGNE, MATTHEW JAMES · 2017 to 2018
$50k
NIAID NIH HHS F31 AI129195NIAID NIH HHS P30 AI042853NIAID NIH HHS R01 AI064099NIAID NIH HHS R01 AI097117NIAID NIH HHS R01 AI138960NIAID NIH HHS R56 AI097117
6 · The paper itself

Abstract

A major barrier to curing HIV-1 is the long-lived latent reservoir that supports re-emergence of HIV-1 upon treatment interruption. Targeting this reservoir will require mechanistic insights into the establishment and maintenance of HIV-1 latency. Whether T cell signaling at the time of HIV-1 infection influences productive replication or latency is not fully understood. We used a panel of chimeric antigen receptors (CARs) with different ligand binding affinities to induce a range of signaling strengths to model differential T cell receptor signaling at the time of HIV-1 infection. Stimulation of T cell lines or primary CD4+ T cells expressing chimeric antigen receptors supported HIV-1 infection regardless of affinity for ligand; however, only signaling by the highest affinity receptor facilitated HIV-1 expression. Activation of chimeric antigen receptors that had intermediate and low binding affinities did not support provirus transcription, suggesting that a minimal signal is required for optimal HIV-1 expression. In addition, strong signaling at the time of infection produced a latent population that was readily inducible, whereas latent cells generated in response to weaker signals were not easily reversed. Chromatin immunoprecipitation showed HIV-1 transcription was limited by transcriptional elongation and that robust signaling decreased the presence of negative elongation factor, a pausing factor, by more than 80%. These studies demonstrate that T cell signaling influences HIV-1 infection and the establishment of different subsets of latently infected cells, which may have implications for targeting the HIV-1 reservoir.

Indexed as

CD4-Positive T-LymphocytesHIV-1HIV InfectionsHumansJurkat CellsProvirusesSignal TransductionVirus ActivationVirus LatencyVirus Replication

Identifiers

PMID31116788
PMCPMC6548398
OpenAlexW2949931203

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.