Evidence map›Paper›PMID 29089503›Full record

ArticleScientific reports2017

Designing broad-spectrum anti-HIV-1 gRNAs to target patient-derived variants.

Will Dampier, Neil T Sullivan, Cheng-Han Chung, Joshua Chang Mell, Michael R Nonnemacher, Brian Wigdahl

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

28 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Delivering CRISPR to the HIV-1 reservoirs.Frontiers in microbiology · 2024
    Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. HIV-1 cure strategies: why CRISPR?Expert opinion on biological therapy · 2021
    Review
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Nonthermal plasma as part of a novel strategy for vaccination.Plasma processes and polymers (Print) · 2020
    Review
  17. Article
  18. Article
  19. Computational Analysis Concerning the Impact of DNA Accessibility on CRISPR-Cas9 Cleavage Efficiency.Molecular therapy : the journal of the American Society of Gene Therapy · 2020
    Article
  20. 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

6 authors at 1 institution in 1 country.

Will DampierDepartment of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, PA, USA.
Neil T SullivanDepartment of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, PA, USA.
Cheng-Han ChungDepartment of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, PA, USA.
Joshua Chang MellDepartment 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.
Brian WigdahlDepartment of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, PA, USA. bw45@drexel.edu.
Drexel 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
Gene editing strategies to target HIV for elimination in periphery and brainR01MH110360 · NIMH · DREXEL UNIVERSITY · PI Ilker Kudret Sariyer, Brian Wigdahl · 2016 to 2026
$7.3M
Interdisciplinary And Translational Research Training In NeurohivT32MH079785 · NIMH · TEMPLE UNIV OF THE COMMONWEALTH · PI Kamel Khalili · 2008 to 2026
$5.4M
NIMH NIH HHS P30 MH092177NIMH NIH HHS R01 MH110360NIMH NIH HHS T32 MH079785
6 · The paper itself

Abstract

Clustered regularly interspaced short palindromic repeats (CRISPR) CRISPR-associated protein 9 (Cas9), including specific guide RNAs (gRNAs), can excise integrated human immunodeficiency virus type 1 (HIV-1) provirus from host chromosomes. To date, anti-HIV-1 gRNAs have been designed to account for off-target activity, however, they seldom account for genetic variation in the HIV-1 genome within and between patients, which will be crucial for therapeutic application of this technology. This analysis tests the ability of published anti-HIV-1 gRNAs to cleave publicly available patient-derived HIV-1 sequences to inform gRNA design and provides basic computational tools to researchers in the field.

Indexed as

CRISPR-Cas SystemsRNA, Guide, CRISPR-Cas SystemsClustered Regularly Interspaced Short Palindromic RepeatsComputational BiologyComputer SimulationGene EditingGenome, ViralHIV-1HIV InfectionsHumansRNA, Guide, CRISPR-Cas Systems

Identifiers

PMID29089503
PMCPMC5663707
OpenAlexW2765630726

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.