Evidence map›Paper›PMID 23359797›Full record

ArticlePloS one2013

High frequency targeted mutagenesis using engineered endonucleases and DNA-end processing enzymes.

Fabien Delacôte, Christophe Perez, Valérie Guyot, Marianne Duhamel, Christelle Rochon, Nathalie Ollivier, Rachel Macmaster, George H Silva, Frédéric Pâques, Fayza Daboussi and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Applications of Alternative Nucleases in the Age of CRISPR/Cas9.International journal of molecular sciences · 2017
    Review
  5. Biasing genome-editing events toward precise length deletions with an RNA-guided TevCas9 dual nuclease.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  6. Salient Features of Endonuclease Platforms for Therapeutic Genome Editing.Molecular therapy : the journal of the American Society of Gene Therapy · 2016
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

11 authors at 1 institution in 1 country.

Fabien DelacôteCellectis SA, Paris, France.
Christophe Perez
Valérie Guyot
Marianne Duhamel
Christelle Rochon
Nathalie Ollivier
Rachel Macmaster
George H Silva
Frédéric Pâques
Fayza Daboussi
Philippe Duchateau
Genopole (France) · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Targeting DNA double-strand breaks is a powerful strategy for gene inactivation applications. Without the use of a repair plasmid, targeted mutagenesis can be achieved through Non-Homologous End joining (NHEJ) pathways. However, many of the DNA breaks produced by engineered nucleases may be subject to precise re-ligation without loss of genetic information and thus are likely to be unproductive. In this study, we combined engineered endonucleases and DNA-end processing enzymes to increase the efficiency of targeted mutagenesis, providing a robust and efficient method to (i) greatly improve targeted mutagenesis frequency up to 30-fold, and; (ii) control the nature of mutagenic events using meganucleases in conjunction with DNA-end processing enzymes in human primary cells.

Indexed as

DNA End-Joining RepairMutagenesisAnimalsBase SequenceCHO CellsCricetinaeCricetulusDNADNA PrimersEndonucleasesHEK293 CellsHumansDNADNA PrimersEndonucleases

Identifiers

PMID23359797
PMCPMC3554739
OpenAlexW2026851252

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.