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最近の記事

2025/10/16
AI-Driven Image Analysis for Precision Screening Transposon-Mediated Transgenesis of NFκB eGFP Reporter System in Zebrafish
2025/08/06
Variation and classification of chemically-induced zebrafish malformations for the ICH S5 (R3) guideline: an atlas for zebrafish teratogenesis
2024/08/06
Validation of a new protocol for a zebrafish MEFL (malformation or embryo-fetal lethality) test method that conforms to the ICH S5 (R3) guideline
2024/05/21
In vivo assessment of individual and total proteinuria in zebrafish larvae using the solvatochromic compound ZMB741
2021/10/31
Generation of a Transgenic Zebrafish Line for In Vivo Assessment of Hepatic Apoptosis
2021/08/19
Patient-Derived Cancer Xenograft Zebrafish Model (PDXZ) for Drug Discovery Screening and Personalized Medicine
2021/07/09
Establishment of a Quality Control Protocol for Zebrafish Developmental Toxicity Studies
2020/10/13
Gap junction protein beta 4 plays an important role in cardiac function in humans, rodents, and zebrafish
2020/05/28
A novel orexin antagonist from a natural plant was discovered using zebrafish behavioural analysis
2019/10/15
C3orf70 Is Involved in Neural and Neurobehavioral Development

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2025/10/16
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AI-Driven Image Analysis for Precision Screening Transposon-Mediated Transgenesis of NFκB eGFP Reporter System in Zebrafish

Yui Iwata, Aoi Mori, Kana Shinogi, Kanako Nishino, Saori Matsuoka, Yuki Kushida, Yuki Satoda, Akiyoshi Shimizu, Fumihiro Terami, Toru Nonomura, Shunichi Kitajima and Toshio Tanaka

Future Pharmacol. 2025, 5(3), 50; https://doi.org/10.3390/futurepharmacol5030050
Received: 2 June 2025
Revised: 19 August 2025
Accepted: 23 August 2025
Published: 31 August 2025

Abstract
Background: Zebrafish-based drug discovery systems provide significant advantages over mammalian models for high-throughput in vivo screening. Among these, the NF-κB eGFP reporter system significantly enhances drug discovery in zebrafish by enabling real-time, high-resolution monitoring of pathway activity in live organisms, thereby streamlining mechanistic studies and high-throughput screening. Methods: We developed a novel AI (Quantifish and Orange software)-based zebrafish precision individualized 96-well ZF plates (0-7 dpf) and individualized MT tanks (8 dpf-4 mpf) protocol for the transposon-mediated transgenesis of the NFκB eGFP reporter system. Results: One-cell stage embryos were administered NFκB reporter construct and Tol2 transposase mRNA via microinjection and transferred to separate wells of a 96-well ZF plate. Bright-field and fluorescence images of each well were captured at 5 dpf in the F0, F1, and F2 generations using the automated confocal high-content imager CQ1. The Quantifish software was used for the automated detection and segmentation of zebrafish larval fluorescence intensity in specific regions of interest. Quantitative data on the fluorescence intensity and distribution patterns were measured in Quantifish, and advanced statistical and machine learning methods were applied using Orange. Imaging data with eGFP expression results were assessed to evaluate the efficiency of the transgenic protocol. Discussion: This AI-enhanced precision protocol allows for high-throughput screening and quantitative analysis of NFκB reporter transgenesis in zebrafish, enabling the efficient identification and characterization of stable transgenic lines that exhibit tissue-specific expression of the NF-κB reporter, such as lines with induced expression restricted to the retina following LPS stimulation. This approach streamlines the evaluation of regulatory elements, enhances data consistency, and reduces animal use, making it a valuable tool for zebrafish drug discovery.

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  • MDPI