畜牧兽医学报 ›› 2026, Vol. 57 ›› Issue (1): 1-12.doi: 10.11843/j.issn.0366-6964.2026.01.001

• 综述 • 上一篇    下一篇

家畜单细胞转录组学数据库的研究现状与展望

王健1(), 李瑞星2, 刘翘铭3(), 李远方4,5()   

  1. 1.河南财经政法大学计算机与信息工程学院,郑州 450000
    2.河南大学软件学院,开封 475000
    3.河南大学人工智能学院,郑州 450000
    4.哈尔滨工业大学医学与健康学院,哈尔滨 150001
    5.哈尔滨工业大学郑州研究院,郑州 450000
  • 收稿日期:2025-05-19 出版日期:2026-01-23 发布日期:2026-01-26
  • 通讯作者: 刘翘铭,李远方 E-mail:goodjian121@126.com;cslqm@henu.edu.cn;yuanfangli1991@163.com
  • 作者简介:王健,博士,主要从事大数据分析、数据挖掘、群智能算法研究,E-mail:goodjian121@126.com
  • 基金资助:
    河南省科技攻关项目(221100110200);国家自然科学基金(62402145)

Research Status and Prospects of Livestock Single-cell Transcriptomics Databases

WANG Jian1(), LI Ruixing2, LIU Qiaoming3(), LI Yuanfang4,5()   

  1. 1.School of Computer and Information Engineering,Henan University of Economics and Law,Zhengzhou 450000,China
    2.Software College,Henan University,Kaifeng 475000,China
    3.College of Artificial Intelligence,Henan University,Zhengzhou 450000,China
    4.School of Medicine and Health,Harbin Institute of Technology,Harbin 150001,China
    5.Zhengzhou Research Institute,Harbin Institute of Technology,Zhengzhou 450000,China
  • Received:2025-05-19 Online:2026-01-23 Published:2026-01-26
  • Contact: LIU Qiaoming, LI Yuanfang E-mail:goodjian121@126.com;cslqm@henu.edu.cn;yuanfangli1991@163.com

摘要:

本文旨在阐述单细胞组学技术如何推动畜牧学研究,并系统综述家畜单细胞转录组学数据库的构建流程、应用现状及主要挑战,以期为研究者提供数据参考与分析思路,促进该技术在家畜研究中的深入应用。通过全面梳理与整合分析现有家畜单细胞转录组数据库资源,总结其构建方法与应用路径,并探讨当前面临的技术瓶颈。单细胞转录组技术为解析家畜疾病机制、分子育种及健康管理提供了新的研究视角和丰富的数据资源,同时也揭示了在数据整合、注释标准化等技术环节仍存在显著挑战。未来应加强高质量数据库构建、开发适用于家畜的分析算法,并推动多组学整合,以充分发挥单细胞技术在畜牧业发展中的潜力。

关键词: 家畜, 单细胞转录组学, 数据库

Abstract:

This article aims to elucidate how single-cell omics technologies advance livestock research and provides a systematic review of the construction process, current applications, and major challenges of single-cell transcriptomic databases in domestic animals. It seeks to offer data references and analytical frameworks for researchers, thereby promoting deeper application of this technology in livestock studies. This review conducted a comprehensive review and integrated analysis of existing single-cell transcriptomic database resources for livestock, summarizing their construction methodologies and application pathways, while also discussing current technical bottlenecks. The review demonstrates that single-cell transcriptomics offers novel perspectives and abundant data resources for elucidating mechanisms of livestock diseases, molecular breeding, and health management, while also revealing significant challenges in areas such as data integration and annotation standardization. Future efforts should focus on constructing high-quality databases, developing analysis algorithms tailored to livestock species, and promoting multi-omics integration to fully leverage the potential of single-cell technologies in the development of animal husbandry.

Key words: livestock, single-cell transcriptomics, database

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