Evidence map›Paper›PMID 26912621›Full record

ArticleJournal of virology2016

HIV Integration Site Analysis of Cellular Models of HIV Latency with a Probe-Enriched Next-Generation Sequencing Assay.

Sara Sunshine, Rory Kirchner, Sami S Amr, Leandra Mansur, Rimma Shakhbatyan, Michelle Kim, Alberto Bosque, Robert F Siliciano, Vicente Planelles, Oliver Hofmann and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of virology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

36 citing papers in PubMed, 55 citations in OpenAlex.

  1. Review
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  13. The Cultured TMethods in molecular biology (Clifton, N.J.) · 2022
    Article
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  15. Review
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  19. Efficient Nonviral Stable Transgenesis Mediated by Retroviral Integrase.Molecular therapy. Methods & clinical development · 2020
    Article
  20. Joint profiling of chromatin accessibility and CAR-T integration site analysis at population and single-cell levels.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
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

12 authors at 6 institutions in 1 country.

Sara SunshineDivision of Infectious Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Rory KirchnerBioinformatics Core, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.
Sami S AmrPartners HealthCare Personalized Medicine, Cambridge, Massachusetts, USA.
Leandra MansurPartners HealthCare Personalized Medicine, Cambridge, Massachusetts, USA.
Rimma ShakhbatyanPartners HealthCare Personalized Medicine, Cambridge, Massachusetts, USA.
Michelle KimDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Alberto BosqueDepartment of Pathology, University of Utah, Salt Lake City, Utah, USA.
Robert F SilicianoDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Vicente PlanellesDepartment of Pathology, University of Utah, Salt Lake City, Utah, USA.
Oliver HofmannBioinformatics Core, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.
Shannan Ho SuiBioinformatics Core, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.
Jonathan Z LiDivision of Infectious Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA Jli22@partners.org.
Harvard University · USMass General Brigham · USBrigham and Women's Hospital · USUniversity of Utah · USHoward Hughes Medical Institute · USJohns Hopkins Medicine · US

Funding

Harvard Clinical and Translational Science CenterUL1TR001102 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2013 to 2017
$106.2M
The impact of HIV viral diversity and cellular immunity on HIV pathogenesisP30AI060354 · NIAID · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI ROBERT A. PARKER · 2004 to 2026
$94.4M
Implications of HIV-1 Minority Variants for Virologic Failure and HIV ReservoirsK08AI100699 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI LI, JONATHAN · 2012 to 2016
$682k
NCATS NIH HHS UL1 TR001102NIAID NIH HHS K08 AI100699NIAID NIH HHS P30 AI060354
6 · The paper itself

Abstract

unlabelledAntiretroviral therapy (ART) is successful in the suppression of HIV but cannot target and eradicate the latent proviral reservoir. The location of retroviral integration into the human genome is thought to play a role in the clonal expansion of infected cells and HIV persistence. We developed a high-throughput targeted sequence capture assay that uses a pool of HIV-specific probes to enrich Illumina libraries prior to deep sequencing. Using an expanded clonal population of ACH-2 cells, we demonstrate that this sequence capture assay has an extremely low false-positive rate. This assay assessed four cellular models commonly used to study HIV latency and latency-reversing agents: ACH-2 cells, J-Lat cells, the Bcl-2-transduced primary CD4(+)model, and the cultured TCM(central memory) CD4(+)model. HIV integration site characteristics and genes were compared between these cellular models and to previously reported patient data sets. Across these cellular models, there were significant differences in integration site characteristics, including orientation relative to that of the host gene, the proportion of clonally expanded sites, and the proportion located within genic regions and exons. Despite a greater diversity of minority integration sites than expected in ACH-2 cells, their integration site characteristics consistently differed from those of the other models and from the patient samples. Gene ontology analysis of highly represented genes from the patient samples found little overlap with HIV-containing genes from the cell lines. These findings show that integration site differences exist among the commonly used cellular models of HIV latency and in comparison to integration sites found in patient samples. IMPORTANCE: Despite the success of ART, currently there is no successful therapy to eradicate integrated proviruses. Cellular models of HIV latency are used to test the efficacy of latency-reversing agents, but it is unclear how well these models reflect HIV integration into the human genome in vivo We have developed a novel probe-based sequence enrichment assay to sequence and analyze integrated HIV. We compared HIV integration site characteristics between four cellular models and to previously described patient data sets. Significant differences were detected in the distribution of HIV integration sites between cellular models of HIV latency and compared to data sets from patient samples. The results from this study have implications for how well these cellular models of HIV infection truly reflect HIV integration in vivo and their applicability in drug discovery for novel latency-reversing agents.

Indexed as

DNA ProbesHigh-Throughput Nucleotide SequencingVirus IntegrationVirus LatencyCell LineCells, CulturedChromosome MappingComputational BiologyHIVHIV InfectionsHumansSequence Analysis, DNADNA Probes

Identifiers

PMID26912621
PMCPMC4836361
OpenAlexW2280129875

What OpenQuestion holds

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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.