Evidence map›Paper›PMID 42032221›Full record

Articlenpj biomedical innovations2025

Automated microinjection for zebrafish xenograft models.

Yi Ding, Kees-Jan van der Kolk, Wietske van der Ent, Michele Scotto di Mase, Saskia Kowald, Jenny Huizing, Jana M Vidal Teuton, Gunja Mishra, Maxime Kempers, Rusul Almter and 10 more

Abstract read
In one paragraph

Article in npj biomedical innovations, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Zebrafish as a Model for Translational Immuno-Oncology.Journal of personalized medicine · 2025
    Review
  6. 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

20 authors.

Yi Ding *Life Science Methods BV, Leiden, the Netherlands.
Kees-Jan van der Kolk *Life Science Methods BV, Leiden, the Netherlands.
Wietske van der EntCentre for Molecular Medicine Norway (NCMM), University of Oslo, Oslo, Norway.
Michele Scotto di MaseZeClinics SL, Barcelona, Spain.
Saskia KowaldBioReperia AB, Linköping, Sweden.
Jenny HuizingOncode Institute, Dept. Cell & Chemical Biology, Leiden University Medical Center, Leiden, the Netherlands.
Jana M Vidal TeutonOncode Institute, Dept. Cell & Chemical Biology, Leiden University Medical Center, Leiden, the Netherlands.
Gunja MishraOncode Institute, Dept. Cell & Chemical Biology, Leiden University Medical Center, Leiden, the Netherlands.
Maxime KempersLife Science Methods BV, Leiden, the Netherlands.
Rusul AlmterBioReperia AB, Linköping, Sweden.
Sandra KunzCentre for Molecular Medicine Norway (NCMM), University of Oslo, Oslo, Norway.
Laurine MunierCentre for Molecular Medicine Norway (NCMM), University of Oslo, Oslo, Norway.
Carl KoschmannDepartment of Pediatrics, University of Michigan, Ann Arbor, MI, USA.
Sebastian M WaszakCentre for Molecular Medicine Norway (NCMM), University of Oslo, Oslo, Norway.
Vincenzo Di DonatoZeClinics SL, Barcelona, Spain.
Sylvia DyballaZeClinics SL, Barcelona, Spain.
Peter Ten DijkeOncode Institute, Dept. Cell & Chemical Biology, Leiden University Medical Center, Leiden, the Netherlands.
Camila Vicencio EsguerraCentre for Molecular Medicine Norway (NCMM), University of Oslo, Oslo, Norway.
Lasse D JensenBioReperia AB, Linköping, Sweden.
Jan de SonnevilleLife Science Methods BV, Leiden, the Netherlands. jan@lifesciencemethods.com.

Funding

Eurostars E! 114899Norwegian Cancer Society 254836
6 · The paper itself

Abstract

Zebrafish xenograft models are increasingly recognized for predicting patient responses to cancer therapeutics, suggesting their potential as clinical diagnostic tools. However, precise microinjection of cancer cells into numerous small and fragile zebrafish larvae is laborious, requires extensive training for new operators, and often yields variable results, limiting their clinical and drug discovery applications. To address these challenges, we have designed, built, and validated an automated microinjection robot. The robot performs injections into the vasculature, perivitelline space, and hindbrain ventricle in both fully automated and semi-automated modes. Combined results demonstrate an average injection success rate of approximately 60% and larvae survival exceeding 70%, comparable to manual methods, with the fully automated mode being twice as fast. This automation reduces the need for extensive personnel training while enhancing reproducibility, efficiency, and accuracy, paving the way for more extensive use of zebrafish xenograft models in drug discovery and patient diagnostics.

Identifiers

PMID42032221
PMCPMC13055049

What Socratic 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 Socratic graph.