Laboratory Animal and Comparative Medicine ›› 2018, Vol. 38 ›› Issue (1): 22-28.DOI: 10.3969/j.issn.1674-5817.2018.01.004

Special Issue: 实验动物资源开发与利用

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A Melanoma Zebrafish Model for Real-time Imaging in vivo

ZHOU Bin1, SHENG Zhe-jin2, FENG Chen-zhuo3, LI Li-mei4   

  1. 1. Department of Vascular Surgery,Shanghai East Hospital,School of Medicine,Tongji University,Shanghai 200120,China;
    2. School of Life Science and Technology,Tongji University,Shanghai 200092,China;
    3. Department of Basic Medical Sciences,Hangzhou Medical College,Hangzhou 310053,China;
    4. Research Center for Translational Medicine,Shanghai East Hospital,School of Medicine,Tongji University,Shanghai 200120,China
  • Received:2017-08-28 Online:2018-02-25 Published:2021-03-01

Abstract: Objective To establish a zebrafish model for real-time monotoring the development of melanoma in vivo and screening relative drugs.Methods The expression effect of pMITFa1-RedV12/hRas plasmid,in which the melanoma was labeled by red fluorescent protein (RFP),was verified in mouse B16 melanocytes.After microinjecting pMITFa1-RedV12/hRas into 1- cell stage of fertilized eggs of zebrafish,we monitored the process of melanoma formation with in vivo imaging system in zebrafish.Results pMITFa1-RedV12/hRas was successfully expressed in mouse melanoma B16 cells.Three days after microinjection of pMITFa1-RedV12/hRas vector to 1-cell satge of zebrafish,melanomas labeled by RFP protein was observed under the fluorescence microscope.Eight weeks later,melanomas were observed clearly by eyes.The rate of tumor formation was 100%.When microinjected into pMITFa1-RedV12/hRas vector into fertilized eggs of TG(zlyz:EGFP) transgenic zebrafish,the interaction between the melanoma cells labeled by RFP protein and the macrophages labeled by green fluorescent protein was clearly observed in in vivo imaging system.Conclusion Successfully established a zebrafish model for real-time monitoring melanoma in vivo,which is cheap and easy to operate.

Key words: Melanoma model, Zebrafish, Real-time imaging

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