ArticleCryobiology2023
Modeling of cryopreservation pathway operation at an aquatic biomedical stock center for zebrafish.
Article in Cryobiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Interdisciplinary Tools to Safeguard and Amplify Aquatic Genetic Resource Use: A Foundation for Industrial-Scale Quality Control for Fertilization.Animals : an open access journal from MDPI · 2026Article
- Reproductive science and wildlife conservation: the knowns and unknowns!Reproduction & fertility · 2026Review
- Advancing nuclear transfer cloning in zebrafish (Danio rerio) into a translational pathway using interdisciplinary tools.PloS one · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Aquatic biomedical model organisms play a substantial role in advancing our understanding of human health, however, comparably little work has been directed towards developing dependable, high-throughput storage programs for valuable genetic resources. The Zebrafish International Resource Center (ZIRC) has developed a standardized cryopreservation pathway and stored thousands of genetic lines in their repository for use by the biomedical research community. This has yet to be replicated in other facilities, and an overall repository-level pathway has never been analyzed for aquatic species. To encourage repository development for other biomedical models and to improve the ZIRC storage process and system, this study used discrete-event simulation modeling to systematically analyze the cryopreservation pathway for efficiency, and to identify improvements. The models reflected "real-world" working conditions and were used to simulate key outputs, such as production capacity over time (throughput) and steps in the process that limit production (bottlenecks). With these models, recommendations were identified to eliminate waiting times and increase efficiency. These included following proper husbandry protocols because male quality significantly affected production time, and the use of part-time operators to assist with steps that had longer Waiting Times (i.e., time samples spent in a queue) to increase production capacity. Simulation process modeling is a powerful tool that can improve the operations of existing repositories. It can also support repository development at other biomedical stock centers, and at other facilities devoted to aquatic species such as research, conservation, and aquaculture production hatcheries.
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What OpenQuestion holds
Registered trials
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.