Evidence map›Paper›PMID 31392299›Full record

ReviewAnimal models and experimental medicine2019

Anti-CRISPRs: The natural inhibitors for CRISPR-Cas systems.

Fei Zhang, Guoxu Song, Yong Tian

Abstract readReview
In one paragraph

Review in Animal models and experimental medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–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

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Bioinformatic Identification of CRISPR-Cas Systems inPathogens (Basel, Switzerland) · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Mechanisms regulating the CRISPR-Cas systems.Frontiers in microbiology · 2023
    Review
  12. Article
  13. Article
  14. Using metagenomic data to boost protein structure prediction and discovery.Computational and structural biotechnology journal · 2022
    Review
  15. Article
  16. Review
  17. Review
  18. Article
  19. CRISPR/Cas-Dependent and Nuclease-FreeHuman gene therapy · 2021
    Review
  20. Strategies for High-Efficiency Mutation Using the CRISPR/Cas System.Frontiers in cell and developmental biology · 2021
    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.

Fei ZhangCAS Key Laboratory of RNA Biology Institute of Biophysics, Chinese Academy of Sciences Beijing China.
Guoxu SongCAS Key Laboratory of RNA Biology Institute of Biophysics, Chinese Academy of Sciences Beijing China.
Yong TianCAS Key Laboratory of RNA Biology Institute of Biophysics, Chinese Academy of Sciences Beijing China.ORCID https://orcid.org/0000-0002-8790-1148

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CRISPR (clustered regularly interspaced short palindromic repeats)-Cas (CRISPR associated protein) systems serve as the adaptive immune system by which prokaryotes defend themselves against phages. It has also been developed into a series of powerful gene-editing tools. As the natural inhibitors of CRISPR-Cas systems, anti-CRISPRs (Acrs) can be used as the "off-switch" for CRISPR-Cas systems to limit the off-target effects caused by Cas9. Since the discovery of CRISPR-Cas systems, much research has focused on the identification, mechanisms and applications of Acrs. In light of the rapid development and scientific significance of this field, this review summarizes the history and research status of Acrs, and considers future applications.

Indexed as

anti‐CRISPRsCas9CRISPR‐Cas system

Identifiers

PMID31392299
PMCPMC6600654

What OpenQuestion holds

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LicenceCC BY-NC
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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.