Evidence map›Paper›PMID 38600709›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

Engineering of Zinc Finger Nucleases Through Structural Modeling Improves Genome Editing Efficiency in Cells.

Shota Katayama, Masahiro Watanabe, Yoshio Kato, Wataru Nomura, Takashi Yamamoto

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

5 authors.

Shota KatayamaGenome Editing Innovation Center, Hiroshima University, Higashi-Hiroshima, 739-0046, Japan.ORCID 0000-0002-0078-3207
Masahiro WatanabeResearch Institute for Sustainable Chemistry, National Institute of Advanced Industrial Science and Technology (AIST), Higashi-Hiroshima, 739-0046, Japan.
Yoshio KatoBiomedical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Ibaraki, 305-8566, Japan.ORCID 0000-0001-8584-367X
Wataru NomuraGraduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, 734-8553, Japan.
Takashi YamamotoGenome Editing Innovation Center, Hiroshima University, Higashi-Hiroshima, 739-0046, Japan.

Funding

Japan Science and Technology Agency COI-NEXT
6 · The paper itself

Abstract

Genome Editing is widely used in biomedical research and medicine. Zinc finger nucleases (ZFNs) are smaller in size than transcription activator-like effector (TALE) nucleases (TALENs) and CRISPR-Cas9. Therefore, ZFN-encoding DNAs can be easily packaged into a viral vector with limited cargo space, such as adeno-associated virus (AAV) vectors, for in vivo and clinical applications. ZFNs have great potential for translational research and clinical use. However, constructing functional ZFNs and improving their genome editing efficiency is extremely difficult. Here, the efficient construction of functional ZFNs and the improvement of their genome editing efficiency using AlphaFold, Coot, and Rosetta are described. Plasmids encoding ZFNs consisting of six fingers using publicly available zinc-finger resources are assembled. Two functional ZFNs from the ten ZFNs tested are successfully obtained. Furthermore, the engineering of ZFNs using AlphaFold, Coot, or Rosetta increases the efficiency of genome editing by 5%, demonstrating the effectiveness of engineering ZFNs based on structural modeling.

Indexed as

Gene EditingZinc Finger NucleasesCRISPR-Cas SystemsHumansZinc FingersZinc Finger Nucleasesgenome editingprotein engineeringstructural biologyzinc finger nucleases

Identifiers

PMID38600709
PMCPMC11187957

What OpenQuestion holds

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Registered trials

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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.