Evidence map›Paper›PMID 27143130›Full record

ArticleRetrovirology2016

Utilization of HIV-1 envelope V3 to identify X4- and R5-specific Tat and LTR sequence signatures.

Gregory C Antell, Will Dampier, Benjamas Aiamkitsumrit, Michael R Nonnemacher, Jeffrey M Jacobson, Vanessa Pirrone, Wen Zhong, Katherine Kercher, Shendra Passic, Jean W Williams and 4 more

Open access · goldAbstract read
In one paragraph

Article in Retrovirology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.8field-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

13 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Discoveries and developments of CXCR4-targeted HIV-1 entry inhibitors.Experimental biology and medicine (Maywood, N.J.) · 2020
    Review
  6. Article
  7. Article
  8. Genetic variation and function of the HIV-1 Tat protein.Medical microbiology and immunology · 2019
    Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. 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

14 authors at 2 institutions in 1 country.

Gregory C AntellDepartment of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, PA, USA.
Will DampierDepartment of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, PA, USA.
Benjamas AiamkitsumritDepartment of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, PA, USA.
Michael R NonnemacherDepartment of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, PA, USA.
Jeffrey M JacobsonDepartment of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, PA, USA.
Vanessa PirroneDepartment of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, PA, USA.
Wen ZhongDepartment of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, PA, USA.
Katherine KercherDepartment of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, PA, USA.
Shendra PassicDepartment of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, PA, USA.
Jean W WilliamsDepartment of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, PA, USA.
Gregory SchwartzSchool of Biomedical Engineering, Science, and Health Systems, Drexel University, Philadelphia, PA, USA.
Uri HershbergDepartment of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, PA, USA.
Fred C KrebsDepartment of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, PA, USA.
Brian WigdahlDepartment of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, PA, USA. bwigdahl@drexelmed.edu.
Institute for Molecular Medicine · USDrexel University · US

Funding

Viral Gene Editing and Bioinformatics Core for Institution # 269291P30MH092177 · NIMH · TEMPLE UNIV OF THE COMMONWEALTH · PI SHOHREH AMINI · 2011 to 2026
$24.9M
Interdisciplinary And Translational Research Training In NeurohivT32MH079785 · NIMH · TEMPLE UNIV OF THE COMMONWEALTH · PI Kamel Khalili · 2008 to 2026
$5.4M
High Specificity HIV-1 Markers Predictive of Neuro-AIDSR01DA019807 · NIDA · DREXEL UNIVERSITY · PI WIGDAHL, BRIAN · 2004 to 2014
$5.1M
HIV-1 Tat genetic variation impacts NeuroAIDSR01NS089435 · NINDS · DREXEL UNIVERSITY · PI KORTAGERE, SANDHYA, NONNEMACHER, MICHAEL R · 2015 to 2024
$5.0M
NEUROLOGICAL &LYMPHOID FACTORS IN HIV1 LTR ACTIVATIONR01NS032092 · NINDS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI WIGDAHL, BRIAN · 1993 to 2011
$3.9M
Co-evolution of HIV-1 Regulators in CNS DiseaseR01NS046263 · NINDS · DREXEL UNIVERSITY · PI WIGDAHL, BRIAN · 2004 to 2009
$1.8M
NIDA NIH HHS R01 DA019807NIMH NIH HHS P30 MH092177NIMH NIH HHS T32 MH079785NINDS NIH HHS R01 NS032092NINDS NIH HHS R01 NS046263NINDS NIH HHS R01 NS089435
6 · The paper itself

Abstract

backgroundHIV-1 entry is a receptor-mediated process directed by the interaction of the viral envelope with the host cell CD4 molecule and one of two co-receptors, CCR5 or CXCR4. The amino acid sequence of the third variable (V3) loop of the HIV-1 envelope is highly predictive of co-receptor utilization preference during entry, and machine learning predictive algorithms have been developed to characterize sequences as CCR5-utilizing (R5) or CXCR4-utilizing (X4). It was hypothesized that while the V3 loop is predominantly responsible for determining co-receptor binding, additional components of the HIV-1 genome may contribute to overall viral tropism and display sequence signatures associated with co-receptor utilization.

resultsThe accessory protein Tat and the HlV-1 long terminal repeat (LTR) were analyzed with respect to genetic diversity and compared by Jensen-Shannon divergence which resulted in a correlation with both mean genetic diversity as well as the absolute difference in genetic diversity between R5- and X4-genome specific trends. As expected, the V3 domain of the gp120 protein was enriched with statistically divergent positions. Statistically divergent positions were also identified in Tat amino acid sequences within the transactivation and TAR-binding domains, and in nucleotide positions throughout the LTR. We further analyzed LTR sequences for putative transcription factor binding sites using the JASPAR transcription factor binding profile database and found several putative differences in transcription factor binding sites between R5 and X4 HIV-1 genomes, specifically identifying the C/EBP sites I and II, and Sp site III to differ with respect to sequence configuration for R5 and X4 LTRs.

conclusionThese observations support the hypothesis that co-receptor utilization coincides with specific genetic signatures in HIV-1 Tat and the LTR, likely due to differing transcriptional regulatory mechanisms and selective pressures applied within specific cellular targets during the course of productive HIV-1 infection.

Indexed as

Genetic VariationBinding SitesCD4 AntigensHIV-1HIV Envelope Protein gp120HIV Long Terminal RepeatHumansPeptide FragmentsReceptors, CCR5Receptors, CXCR4tat Gene Products, Human Immunodeficiency VirusTranscription FactorsViral TropismCD4 AntigensHIV Envelope Protein gp120HIV envelope protein gp120 (305-321)Peptide FragmentsReceptors, CCR5Receptors, CXCR4tat Gene Products, Human Immunodeficiency VirusTranscription FactorsCo-receptorDivergenceDiversitygp120HIV-1LTRTatTranscription factorTropismV3

Identifiers

PMID27143130
PMCPMC4855882
OpenAlexW2347168355

What OpenQuestion holds

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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.