Evidence map›Paper›PMID 34684206›Full record

ReviewPathogens (Basel, Switzerland)2021

Targeting and Understanding HIV Latency: The CRISPR System against the Provirus.

Gloria Magro, Arianna Calistri, Cristina Parolin

Open access · goldAbstract readReview
In one paragraph

Review in Pathogens (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

8 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. CRISPR/Cas9: a tool to eradicate HIV-1.AIDS research and therapy · 2022
    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

3 authors at 1 institution in 1 country.

Gloria MagroDepartment of Molecular Medicine, Microbiology and Virology Unit, University of Padua, 35121 Padua, Italy.ORCID 0000-0003-1646-227X
Arianna CalistriDepartment of Molecular Medicine, Microbiology and Virology Unit, University of Padua, 35121 Padua, Italy.ORCID 0000-0002-6881-7936
Cristina ParolinDepartment of Molecular Medicine, Microbiology and Virology Unit, University of Padua, 35121 Padua, Italy.
University of Padua · IT

Funding

University of Padua PARO_FINA20_01
6 · The paper itself

Abstract

The presence of latently infected cells and reservoirs in HIV-1 infected patients constitutes a significant obstacle to achieve a definitive cure. Despite the efforts dedicated to solve these issues, the mechanisms underlying viral latency are still under study. Thus, on the one hand, new strategies are needed to elucidate which factors are involved in latency establishment and maintenance. On the other hand, innovative therapeutic approaches aimed at eradicating HIV infection are explored. In this context, advances of the versatile CRISPR-Cas gene editing technology are extremely promising, by providing, among other advantages, the possibility to target the HIV-1 genome once integrated into cellular DNA (provirus) and/or host-specific genes involved in virus infection/latency. This system, up to now, has been employed with success in numerous in vitro and in vivo studies, highlighting its increasing significance in the field. In this review, we focus on the progresses made in the use of different CRISPR-Cas strategies to target the HIV-1 provirus, and we then discuss recent advancements in the use of CRISPR screens to elucidate the role of host-specific factors in viral latency.

Indexed as

CRISPR-CasCRISPR screensgene editingHIV latencyhost dependency factors

Identifiers

PMID34684206
PMCPMC8539363
OpenAlexW3203630687

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.