Evidence map›Paper›PMID 23953889›Full record

ArticleRetrovirology2013

HIV latency and integration site placement in five cell-based models.

Scott Sherrill-Mix, Mary K Lewinski, Marylinda Famiglietti, Alberto Bosque, Nirav Malani, Karen E Ocwieja, Charles C Berry, David Looney, Liang Shan, Luis M Agosto and 6 more

Abstract read
In one paragraph

Article in Retrovirology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed
–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

86 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Structural rearrangements in the nucleus localize latent HIV proviruses to a perinucleolar compartment supportive of reactivation.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  8. Transcription of HIV-1 at sites of intact latent provirus integration.bioRxiv : the preprint server for biology · 2024
    Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. The Cultured TMethods in molecular biology (Clifton, N.J.) · 2022
    Article

26 more citing papers are in PubMed but not listed here.

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

16 authors.

Scott Sherrill-MixDepartment of Microbiology, University of Pennsylvania School of Medicine, Philadelphia, PA, USA. shescott@mail.med.upenn.edu
Mary K Lewinski
Marylinda Famiglietti
Alberto Bosque
Nirav Malani
Karen E Ocwieja
Charles C Berry
David Looney
Liang Shan
Luis M Agosto
Matthew J Pace
Robert F Siliciano
Una O'Doherty
John Guatelli
Vicente Planelles
Frederic D Bushman

Funding

Virus & Reservoirs CoreP30AI045008 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI ROBERT GROSS · 1999 to 2026
$78.6M
VirologyP30AI036214 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Maile Ann Young Karris · 1994 to 2026
$78.4M
Using NK Cells to eliminate the latent HIV reservoirU19AI096113 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KASHUBA, ANGELA D · 2011 to 2015
$39.5M
Molecular Virology and Systems Biology Screening CoreP01AI090935 · NIAID · SANFORD BURNHAM PREBYS MEDICAL DISCOVERY INSTITUTE · PI HOFFMANN, ALEXANDER · 2010 to 2014
$20.4M
HOPE Training GrantT32AI007384 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Sara Gianella Weibel, Scott L Letendre · 1990 to 2026
$9.7M
Training Program in Computational GenomicsT32HG000046 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI JUNHYONG KIM, Mingyao Li · 1999 to 2026
$9.5M
Favored Sites for HIV Integration in the Human GenomeR01AI052845 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI BUSHMAN, FREDERIC D · 2002 to 2017
$5.6M
HIV-1 NEF AND VIRAL INFECTIVITYR01AI038201 · NIAID · VETERANS MEDICAL RESEARCH FDN/SAN DIEGO · PI GUATELLI, JOHN C. · 1996 to 2013
$4.1M
An Ex Vivo Model of HIV-1 Latency and Reactivation using Primary Memory CellsR01AI087508 · NIAID · UNIVERSITY OF UTAH · PI PLANELLES, VICENTE · 2010 to 2014
$1.8M
The Role of the Immune Response in Controlling the Size of the HIV Reservoir.R21AI096993 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI O'DOHERTY, UNA T · 2011 to 2012
$422k
HIV Restriction in CD4+ T cells: Host and Viral FactorsK02AI078766 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI O'DOHERTY, UNA T · 2008 to 2012
$405k
NHGRI NIH HHS 5T32HG000046NIAID NIH HHS AI087508NIAID NIH HHS K02AI078766NIAID NIH HHS P01 AI090935NIAID NIH HHS P30 AI036214NIAID NIH HHS P30 AI 045008NIAID NIH HHS R01AI038201NIAID NIH HHS R01 AI052845NIAID NIH HHS R01 AI 052845-11NIAID NIH HHS R21AI 096993NIAID NIH HHS T32 AI007384NIAID NIH HHS U19 AI096113NIAID NIH HHS U19AI096113
6 · The paper itself

Abstract

backgroundHIV infection can be treated effectively with antiretroviral agents, but the persistence of a latent reservoir of integrated proviruses prevents eradication of HIV from infected individuals. The chromosomal environment of integrated proviruses has been proposed to influence HIV latency, but the determinants of transcriptional repression have not been fully clarified, and it is unclear whether the same molecular mechanisms drive latency in different cell culture models.

resultsHere we compare data from five different in vitro models of latency based on primary human T cells or a T cell line. Cells were infected in vitro and separated into fractions containing proviruses that were either expressed or silent/inducible, and integration site populations sequenced from each. We compared the locations of 6,252 expressed proviruses to those of 6,184 silent/inducible proviruses with respect to 140 forms of genomic annotation, many analyzed over chromosomal intervals of multiple lengths. A regularized logistic regression model linking proviral expression status to genomic features revealed no predictors of latency that performed better than chance, though several genomic features were significantly associated with proviral expression in individual models. Proviruses in the same chromosomal region did tend to share the same expressed or silent/inducible status if they were from the same cell culture model, but not if they were from different models.

conclusionsThe silent/inducible phenotype appears to be associated with chromosomal position, but the molecular basis is not fully clarified and may differ among in vitro models of latency.

Indexed as

Virus IntegrationVirus LatencyCD4-Positive T-LymphocytesCells, CulturedHIVHumansProviruses

Identifiers

PMID23953889
PMCPMC3765678

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Read underepoch 390

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.