Evidence map›Paper›PMID 32842577›Full record

ReviewGenes2020

Use of Customizable Nucleases for Gene Editing and Other Novel Applications.

Pradeep Reddy, Felipe Vilella, Juan Carlos Izpisua Belmonte, Carlos Simón

Abstract readReview
In one paragraph

Review in Genes, 2020. 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
–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

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Online Databases of Genome Editing in Cardiovascular and Metabolic Diseases.Advances in experimental medicine and biology · 2023
    Article
  4. Article
  5. Embryo Genetics.Genes · 2021
    Article
  6. Leigh Syndrome: A Tale of Two Genomes.Frontiers in physiology · 2021
    Review
  7. Article
  8. 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

4 authors.

Pradeep ReddyGene Expression Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, USA.ORCID 0000-0002-9173-3845
Felipe VilellaIgenomix Foundation, Instituto de Investigación Sanitaria Hospital Clínico (INCLIVA), 46010 Valencia, Spain.ORCID 0000-0002-0039-9846
Juan Carlos Izpisua BelmonteGene Expression Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, USA.
Carlos SimónIgenomix Foundation, Instituto de Investigación Sanitaria Hospital Clínico (INCLIVA), 46010 Valencia, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of novel genome editing tools has unlocked new opportunities that were not previously possible in basic and biomedical research. During the last two decades, several new genome editing methods have been developed that can be customized to modify specific regions of the genome. However, in the past couple of years, many newer and more exciting genome editing techniques have been developed that are more efficient, precise, and easier to use. These genome editing tools have helped to improve our understanding of genetic disorders by modeling them in cells and animal models, in addition to correcting the disease-causing mutations. Among the genome editing tools, the clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated (Cas) system has proven to be the most popular one due to its versatility and has been successfully used in a wide variety of laboratory animal models and plants. In this review, we summarize the customizable nucleases currently used for genome editing and their uses beyond the modification of genome. We also discuss the potential future applications of gene editing tools for both basic research and clinical purposes.

Indexed as

CRISPR-Cas SystemsGenetic EngineeringGenomeAnimalsEndonucleasesGene EditingHumansEndonucleasesembryosgenetic diseasesgenome editing

Identifiers

PMID32842577
PMCPMC7565838

What OpenQuestion holds

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LicenceCC BY
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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.