实验动物与比较医学 ›› 2025, Vol. 45 ›› Issue (3): 300-308.DOI: 10.12300/j.issn.1674-5817.2024.158

• 人类疾病动物模型 • 上一篇    下一篇

疾病动物模型数字化图谱数据库平台的构建与初步应用

李会萍()(), 高洪彬, 温金银, 杨锦淳   

  1. 广东省生物技术研究院(广东省实验动物监测中心), 广州 510663
  • 收稿日期:2024-10-29 修回日期:2025-02-10 出版日期:2025-07-07 发布日期:2025-06-25
  • 通讯作者: 李会萍(1980—),女,硕士,研究员,研究方向:实验动物信息化与科技情报。E-mail: 84178102@qq.com。ORCID: 0000-0003-2268-5293
  • 基金资助:
    广东省科技计划项目“自发性强直性脊柱炎食蟹猴模型的研究及应用平台”(2021B1212060002);广州市基础与应用基础研究项目“人类疾病动物模型资源的数据分类编码体系研究”(202102080391)

Construction and Preliminary Application of Animal Disease Model Digital Atlas Database Platform

LI Huiping()(), GAO Hongbin, WEN Jinyin, YANG Jinchun   

  1. Guangdong Provincial Biotechnology Research Institute (Guangdong Provincial Laboratory Animals Monitoring Center), Guangzhou 510663, China
  • Received:2024-10-29 Revised:2025-02-10 Published:2025-06-25 Online:2025-07-07
  • Contact: LI Huiping (ORCID: 0000-0003-2268-5293), E-mail: 84178102@qq.com

摘要:

目的 国内研究机构及研究者们建立了丰富的疾病动物模型,并在模型研发过程中积累了大量极具专业性、特色性和针对性的图谱数据,这些图谱数据具有极高的开发和应用价值。为此,开发一个专业且完整的疾病动物模型数字化图谱数据库平台非常必要,可实现动物模型图谱数据的开放共享,以实现国内相关机构所持有的疾病动物模型图谱资源的整合与优化。 方法 笔者单位基于B/S架构,采用Java为主要开发语言,使用Oracle数据库系统及相关辅助工具搭建疾病动物模型数字化图谱数据库。数据库平台在Linux环境下运行,用户通过Web浏览器可访问该平台。目前该平台的数据主要来源于广东省内动物模型资源单位汇交的图谱资源。 结果 2024年8月,按系统疾病、动物种属、资源单位3个维度的图谱分类结构,构建了疾病动物模型数字化图谱数据库平台。该平台可实现图谱数据的收集、管理、检索和查看等功能。截至2025年1月,该平台已有4个资源单位汇交了动物模型图谱数据61幅,共610个数据项。 结论 动物模型数字化图谱数据库平台已构建并实现初步应用,虽然平台的数据规模尚小,但基本可以实现动物模型图谱资源数据的集成和开放共享功能。相信未来随着图谱数据的不断丰富,该平台有望为实验动物学科发展以及比较医学研究提供重要的数据支撑,从而推动科研资源的高效利用。

关键词: 疾病动物模型, 图谱, 数据库

Abstract:

Objective Domestic research institutions and researchers have established a wide variety of animal disease models and accumulated a wealth of specialized, distinctive, and targeted atlas data during the model development process. These atlas data are of great value for development and application. Therefore, it is necessary to develop a professional and complete digital atlas database platform for animal models, which can achieve the open sharing of animal model atlas data and the integration and optimization of atlas resources related to disease animal models held by relevant domestic institutions. Methods Based on the B/S architecture, the authors' institution built a digital atlas database of animal models, using Java as the main development language and Oracle database system along with related auxiliary tools. The database platform ran in a Linux environment and could be accessed by users through a web browser. At present, the data on this platform mainly came from the atlas resources submitted by animal model resource units within Guangdong Province. Results In August 2024, a digital atlas database platform for animal models was constructed based on the classification structure of three dimensions: systemic diseases, animal species, and resource units. This platform provided functions such as collection, management, retrieval, and viewing of atlas data. As of January 2025, four resource units had submitted 61 atlas data entries of animal models to the platform, totalling 610 data items. Conclusion The animal model digital atlas database platform has been constructed and put into preliminary use. Although the amount of data on the platform is still limited, it is capable of integrating and openly sharing animal model atlas data. It is believed that with the continuous enrichment of atlas data in the future, this platform is expected to provide important data support for the development of laboratory animal science and comparative medicine research, thereby promoting the efficient utilization of scientific research resources.

Key words: Animal disease models, Atlas data, Database

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