Evidence map›Paper›PMID 25596827›Full record

ReviewChromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology2015

TALEN-mediated genome engineering to generate targeted mice.

Daniel Sommer, Annika E Peters, Ann-Kathrin Baumgart, Marc Beyer

Abstract readReview
PubMed Publisher
In one paragraph

Review in Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Progress and Perspective of CRISPR-Cas9 Technology in Translational Medicine.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Review
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  7. Article
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  13. Article
  14. Mouse Models of Rare Craniofacial Disorders.Current topics in developmental biology · 2015
    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 at 2 institutions in 1 country.

Daniel SommerLIMES-Institute, Laboratory for Genomics and Immunoregulation, University of Bonn, Carl-Troll-Str. 31, 53115, Bonn, Germany.
Annika E Peters
Ann-Kathrin Baumgart
Marc Beyer
University Hospital Bonn · DEUniversity of Bonn · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic mouse models are critical for biomedical research to understand gene function and pathophysiology. In the last years, the generation of genetic mouse models has been revolutionized by the emergence of transcription activator-like effector nucleases (TALENs). TALENs are programmable, sequence-specific DNA-binding proteins fused to a non-specific endonuclease domain used as powerful tools for site-specific induction of DNA double-strand breaks. These result in disruption of the gene product of the targeted locus by mutations induced during repair by error-prone non-homologous end-joining. Alternatively, these DNA double-strand breaks can be exploited to integrate a user-defined sequence by homologous recombination if an appropriate repair plasmid is provided. In this review, we highlight the major technological improvements for genome editing in murine oocytes which have been achieved using TALENs, discuss current limitations of the technology, suggest strategies to broadly apply TALENs, and describe possible future directions to facilitate gene editing in murine oocytes.

Indexed as

AnimalsCRISPR-Cas SystemsDeoxyribonucleasesDNA-Binding ProteinsGene TargetingGenetic EngineeringMiceMice, TransgenicOocytesDeoxyribonucleasesDNA-Binding Proteins

Identifiers

PMID25596827
OpenAlexW1969296977

What OpenQuestion holds

Textmetadata
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.