Evidence map›Paper›PMID 34502338›Full record

ArticleInternational journal of molecular sciences2021

Efficient Generation of Knock-In Zebrafish Models for Inherited Disorders Using CRISPR-Cas9 Ribonucleoprotein Complexes.

Erik de Vrieze, Suzanne E de Bruijn, Janine Reurink, Sanne Broekman, Vince van de Riet, Marco Aben, Hannie Kremer, Erwin van Wijk

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

19 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
  2. CRISPR Gene Tagging for Illuminating Endogenous Protein Dynamics.International journal of molecular sciences · 2026
    Review
  3. Zebrafish as a Model for Translational Immuno-Oncology.Journal of personalized medicine · 2025
    Review
  4. CRISPR-based functional genomics tools in vertebrate models.Experimental & molecular medicine · 2025
    Review
  5. Article
  6. Engineering precision zebrafish alleles of human disease.bioRxiv : the preprint server for biology · 2025
    Article
  7. Review
  8. Science advances · 2024
    Article
  9. Review
  10. Protein Tyrosine Phosphatase Studies in Zebrafish.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  11. bioRxiv : the preprint server for biology · 2023
    Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. 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

8 authors at 1 institution in 2 countries.

Erik de VriezeDepartment of Otorhinolaryngology, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands.ORCID 0000-0003-3448-3269
Suzanne E de BruijnDonders Institute for Brain Cognition and Behaviour, 6500 GL Nijmegen, The Netherlands.ORCID 0000-0003-2912-9265
Janine ReurinkDonders Institute for Brain Cognition and Behaviour, 6500 GL Nijmegen, The Netherlands.ORCID 0000-0002-5677-9258
Sanne BroekmanDepartment of Otorhinolaryngology, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands.
Vince van de RietDepartment of Otorhinolaryngology, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands.
Marco AbenDonders Institute for Brain Cognition and Behaviour, 6500 GL Nijmegen, The Netherlands.
Hannie KremerDepartment of Otorhinolaryngology, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands.ORCID 0000-0002-0841-8693
Erwin van WijkDepartment of Otorhinolaryngology, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands.ORCID 0000-0002-5702-3460
Radboud University Nijmegen · NL

Funding

DCMN Radboudumc PhD grantFoundation Fighting Blindness USA PPA-0517-0717-RADStichting Klavertje2Stichting UshersyndroomVelux Stiftung Project number: 1129Zeldzame Ziekten Fonds
6 · The paper itself

Abstract

CRISPR-Cas9-based genome-editing is a highly efficient and cost-effective method to generate zebrafish loss-of-function alleles. However, introducing patient-specific variants into the zebrafish genome with CRISPR-Cas9 remains challenging. Targeting options can be limited by the predetermined genetic context, and the efficiency of the homology-directed DNA repair pathway is relatively low. Here, we illustrate our efficient approach to develop knock-in zebrafish models using two previously variants associated with hereditary sensory deficits. We employ sgRNA-Cas9 ribonucleoprotein (RNP) complexes that are micro-injected into the first cell of fertilized zebrafish eggs together with an asymmetric, single-stranded DNA template containing the variant of interest. The introduction of knock-in events was confirmed by massive parallel sequencing of genomic DNA extracted from a pool of injected embryos. Simultaneous morpholino-induced blocking of a key component of the non-homologous end joining DNA repair pathway, Ku70, improved the knock-in efficiency for one of the targets. Our use of RNP complexes provides an improved knock-in efficiency as compared to previously published studies. Correct knock-in events were identified in 3-8% of alleles, and 30-45% of injected animals had the target variant in their germline. The detailed technical and procedural insights described here provide a valuable framework for the efficient development of knock-in zebrafish models.

Indexed as

CRISPR-Cas SystemsDisease Models, AnimalGene EditingAnimalsGene Knock-In TechniquesGenetic Diseases, InbornGenetic EngineeringMutagenesisRibonucleoproteinsZebrafishZebrafish ProteinsRibonucleoproteinsZebrafish ProteinsCRISPR-Cas9disease modelshomology-directed repairknock-inzebrafish

Identifiers

PMID34502338
PMCPMC8431507
OpenAlexW3196301293

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.