Evidence map›Paper›PMID 29543903›Full record

ArticlePloS one2018

An automated system for rapid cellular extraction from live zebrafish embryos and larvae: Development and application to genotyping.

Christopher J Lambert, Briana C Freshner, Arlen Chung, Tamara J Stevenson, D Miranda Bowles, Raheel Samuel, Bruce K Gale, Joshua L Bonkowsky

Abstract read
In one paragraph

Article in PloS one, 2018. 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
–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

19 citing papers in PubMed.

  1. Article
  2. Developmental regulation of intestinalbioRxiv : the preprint server for biology · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Automated multi-sample DNA extraction for genotyping live Xenopus embryos.Developmental dynamics : an official publication of the American Association of Anatomists · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Modeling Lysosomal Storage Diseases in the Zebrafish.Frontiers in molecular biosciences · 2020
    Review
  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.

Christopher J LambertDepartment of Mechanical Engineering, University of Utah, Salt Lake City, Utah, United States of America.
Briana C FreshnerDepartment of Pediatrics, University of Utah School of Medicine, Salt Lake City, Utah, United States of America.
Arlen ChungDepartment of Mechanical Engineering, University of Utah, Salt Lake City, Utah, United States of America.
Tamara J StevensonDepartment of Pediatrics, University of Utah School of Medicine, Salt Lake City, Utah, United States of America.
D Miranda BowlesDepartment of Pediatrics, University of Utah School of Medicine, Salt Lake City, Utah, United States of America.
Raheel SamuelDepartment of Mechanical Engineering, University of Utah, Salt Lake City, Utah, United States of America.
Bruce K GaleDepartment of Mechanical Engineering, University of Utah, Salt Lake City, Utah, United States of America.
Joshua L BonkowskyDepartment of Pediatrics, University of Utah School of Medicine, Salt Lake City, Utah, United States of America.ORCID 0000-0001-8775-147X

Funding

Proteomics CoreU54DK110858 · NIDDK · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Anna E Beaudin, JAMES Eric COX · 2016 to 2026
$8.6M
Trans-Cellular Activation of Transcription to Analyze Dopaminergic Axon ReorganizDP2MH100008 · NIMH · UNIVERSITY OF UTAH · PI BONKOWSKY, JOSH LEITCH · 2012 to 2012
$2.2M
Microfluidic devices for early (less than 48 hpf), non-destructive zebrafish genotypingR43OD023027 · OD · NANONC, INC. · PI BONKOWSKY, JOSH LEITCH, GALE, BRUCE · 2016 to 2016
$233k
NIDDK NIH HHS U54 DK110858NIH HHS DP2 MH100008NIH HHS R43 OD023027NIMH NIH HHS DP2 MH100008
6 · The paper itself

Abstract

Zebrafish are a valuable model organism in biomedical research. Their rapid development, ability to model human diseases, utility for testing genetic variants identified from next-generation sequencing, amenity to CRISPR mutagenesis, and potential for therapeutic compound screening, has led to their wide-spread adoption in diverse fields of study. However, their power for large-scale screens is limited by the absence of automated genotyping tools for live animals. This constrains potential drug screen options, limits analysis of embryonic and larval phenotypes, and requires raising additional animals to adulthood to ensure obtaining an animal of the desired genotype. Our objective was to develop an automated system that would rapidly obtain cells and DNA from zebrafish embryos and larvae for genotyping, and that would keep the animals alive. We describe the development, testing, and validation of a zebrafish embryonic genotyping device, termed "ZEG" (Zebrafish Embryo Genotyper). Using microfluidic harmonic oscillation of the animal on a roughened glass surface, the ZEG is able to obtain genetic material (cells and DNA) for use in genotyping, from 24 embryos or larvae simultaneously in less than 10 minutes. Loading and unloading of the ZEG is performed manually with a standard pipette tip or transfer pipette. The obtained genetic material is amplified by PCR and can be used for subsequent analysis including sequencing, gel electrophoresis, or high-resolution melt-analysis. Sensitivity of genotyping and survival of animals are both greater than 90%. There are no apparent effects on body morphology, development, or motor behavior tests. In summary, the ZEG device enables rapid genotyping of live zebrafish embryos and larvae, and animals are available for downstream applications, testing, or raising.

Indexed as

AutomationAnimalsCell SeparationGenotyping TechniquesMicrofluidic Analytical TechniquesZebrafish

Identifiers

PMID29543903
PMCPMC5854293

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.