Acta Veterinaria et Zootechnica Sinica ›› 2024, Vol. 55 ›› Issue (10): 4290-4301.doi: 10.11843/j.issn.0366-6964.2024.10.005

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Progress on Single-cell Transcriptomics Technology and Its Applications in Research on Parasites

Tingting ZHOU1(), Li LI1, Yantao WU1, Wenying LU1, Baoquan FU1,2, Hong YIN1,2, Wanzhong JIA1,2,*(), Hongbin YAN1,*()   

  1. 1. State Key Laboratory for Animal Disease Control and Prevention/College of Veterinary Medicine, Lanzhou University/National Para-reference Laboratory for Animal Echinococcosis/Gansu Province Research Center for Basic Disciplines of Pathogen Biology/Key Laboratory of Veterinary Parasitology of Gansu Province/Key Laboratory of Veterinary Etiological Biology and Key Laboratory of Ruminant Disease Prevention and Control (West), Ministry of Agricultural and Rural Affairs/Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou 730000, China
    2. Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Disease, Yangzhou 225009, China
  • Received:2023-12-25 Online:2024-10-23 Published:2024-11-04
  • Contact: Wanzhong JIA, Hongbin YAN E-mail:1305403647@qq.com;jiawanzhong@caas.cn;yanhongbin@caas.cn

Abstract:

The single cell transcriptome represents the total expression of all mRNA in a single cell at a certain time, and its expression level reflects the overall characteristics of the cell. The entire RNA of a single cell is reversely transcribed, amplified and sequenced by single cell RNA sequencing (scRNA-seq). The extensive information contained in the sequencing results has the potential to reshape the understanding of developmental biology, gene regulation and cellular heterogeneity in health and disease. With the continuous development of science and technology, sequencing technologies are also constantly improving. The omni-directional, high-throughput and high-resolution characteristics of scRNA-seq can build a more detailed, comprehensive and accurate single cell map. This paper summarizes the commonly used scRNA-seq methods, the main processes of data analysis, and the application of single cell transcriptome technology in the field of parasitology and parasitic diseases, in order to provide reference materials for related research in this field.

Key words: scRNA-seq, transcriptome, data analysis, parasitic diseases

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