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Research Status and Prospects of Livestock Single-cell Transcriptomics Databases
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Jian WANG1, Ruixing LI2, Qiaoming LIU3, Yuanfang LI4, 5
Acta Veterinaria et Zootechnica Sinica | 2026, 57(1) : 1 - 12
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Acta Veterinaria et Zootechnica Sinica | 2026, 57(1): 1-12
• REVIEW •
Research Status and Prospects of Livestock Single-cell Transcriptomics Databases
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Jian WANG1, Ruixing LI2, Qiaoming LIU3, Yuanfang LI4, 5
Affiliations
  • 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
Published: 2026-01-23 doi: 10.11843/j.issn.0366-6964.2026.01.001
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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.

livestock  /  single-cell transcriptomics  /  database
王健, 李瑞星, 刘翘铭, 李远方. 家畜单细胞转录组学数据库的研究现状与展望. 畜牧兽医学报, 2026 , 57 (1) : 1 -12 . DOI: 10.11843/j.issn.0366-6964.2026.01.001
Jian WANG, Ruixing LI, Qiaoming LIU, Yuanfang LI. Research Status and Prospects of Livestock Single-cell Transcriptomics Databases[J]. Acta Veterinaria et Zootechnica Sinica, 2026 , 57 (1) : 1 -12 . DOI: 10.11843/j.issn.0366-6964.2026.01.001
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Year 2026 volume 57 Issue 1
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Article Info
doi: 10.11843/j.issn.0366-6964.2026.01.001
  • Receive Date：2025-05-19
  • Online Date：2026-09-16
  • Published：2026-01-23
Article Data
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History
  • Received：2025-05-19
Funding
Affiliations
    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

Corresponding:

LI Yuanfang， E-mail：
LIU Qiaoming， E-mail：
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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