Blood parameters, single-cell pseudotime trajectory and phagolysosome-related gene expression analysis in crucian carp ( Carassius auratus) )

被引:1
|
作者
Huo, Yian [1 ]
Cao, Yanyan [1 ]
Hu, Xiucai [1 ]
Yang, Yanjing [1 ]
Shao, Peng [1 ]
Sun, Jinhui [1 ]
Lv, Aijun [1 ]
机构
[1] Tianjin Agr Univ, Coll Fisheries, Tianjin Key Lab Aqua Ecol & Aquaculture, Tianjin 300392, Peoples R China
关键词
Carassius auratus; Single cell; Blood parameters; Phagolysosome; CD63; SKIN IMMUNE-RESPONSE;
D O I
10.1016/j.aquaculture.2024.740898
中图分类号
S9 [水产、渔业];
学科分类号
0908 ;
摘要
Crucian carp ( Carassius auratus) ) is one of the main freshwater cultured fish species in China, and its species degeneration and diseases outbreak for aquaculture brings great economic losses. However, the blood single cellular morphology and molecular identification still needs further investigation in fish. Here, the blood parameters, single-cell types and shapes, physicochemical indexes and phagolysosome (PL)-related gene expression analysis of C. auratus were examined. The results showed that four single-cell types of blood cells, including hematopoietic progenitor cells (HPCs), red blood cells (RBCs), proerythrocytes (PEs) and platelets (PLTs) were identified by pseudotime trajectory analysis in the whole blood and kidney, respectively. The involvement in the PL signaling pathway was significantly observed in GSEA enrichment analysis, and their expression distribution (e.g., CD63, ITGB2, CXCR4b, MMP2, MHCI uka, B2ML, CD74a, FTH1a, COX8b, COX7a2) ) were evaluated in various tissues. A protein-protein interaction network analysis was performed on the highly expressed cellular markers and co-expressed genes. Moreover, CaCD63 gene cloning and expression, and molecular docking interaction were presented with the integrin (ITGB2) and chemokine receptor (CXCR4b). Overall, this study firstly revealed the molecular marker features of blood cells and provided a valuable reference for further function verification in cyprinid fish.
引用
收藏
页数:14
相关论文
共 17 条
  • [1] Single-cell transcriptome sequencing analysis of physiological and immune profiling of crucian carp ( Carassius auratus) gills
    Hou, Zhi-Guang
    Xing, Meng-Chao
    Luo, Jia-Xing
    Xu, Yi-Huan
    Zhang, Li-Han
    Gao, Xiao-Wei
    Wang, Jiang-Jiang
    Hanafiah, Fazhan
    Khor, Waiho
    Hao, Xin
    Zhao, Xin
    Wu, Cheng-Bin
    FISH & SHELLFISH IMMUNOLOGY, 2025, 157
  • [2] Single-cell transcriptome, phagocytic activity and immunohistochemical analysis of crucian carp (Carassius auratus) in response to Rahnella aquatilis infection
    Huo, Yian
    Hu, Xiucai
    Lue, Jiarui
    Luo, Fuli
    Liang, Jing
    Lei, Haibo
    Lv, Aijun
    FISH & SHELLFISH IMMUNOLOGY, 2023, 140
  • [3] MicroRNA expression profile analysis of skin immune response in crucian carp (Carassius auratus) infected by Aeromonas hydrophila
    Bai, Jie
    Hu, Xiucai
    Wang, Ruixia
    Lu, Aijun
    Sun, Jingfeng
    FISH & SHELLFISH IMMUNOLOGY, 2020, 104 : 673 - 685
  • [4] Molecular cloning and expression analysis of MyD88 and TRAF6 in Qihe crucian carp Carassius auratus
    Zhang, Jie
    Zhu, Yachen
    Chen, Zhuo
    Li, Chunjing
    Zhao, Xianliang
    Kong, Xianghui
    FISH & SHELLFISH IMMUNOLOGY, 2019, 87 : 829 - 838
  • [5] Single-Cell and Single-Molecule Analysis of Gene Expression Regulation
    Vera, Maria
    Biswas, Jeetayu
    Senecal, Adrien
    Singer, Robert H.
    Park, Hye Yoon
    ANNUAL REVIEW OF GENETICS, VOL 50, 2016, 50 : 267 - 291
  • [6] Bifurcation analysis of single-cell gene expression data reveals epigenetic landscape
    Marco, Eugenio
    Karp, Robert L.
    Guo, Guoji
    Robson, Paul
    Hart, Adam H.
    Trippa, Lorenzo
    Yuan, Guo-Cheng
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2014, 111 (52) : E5643 - E5650
  • [7] Comparative analysis of differential gene expression analysis tools for single-cell RNA sequencing data
    Tianyu Wang
    Boyang Li
    Craig E. Nelson
    Sheida Nabavi
    BMC Bioinformatics, 20
  • [8] Comparative analysis of differential gene expression analysis tools for single-cell RNA sequencing data
    Wang, Tianyu
    Li, Boyang
    Nelson, Craig E.
    Nabavi, Sheida
    BMC BIOINFORMATICS, 2019, 20 (1)
  • [9] Single-cell gene expression analysis reveals β-cell dysfunction and deficit mechanisms in type 2 diabetes
    Lichun Ma
    Jie Zheng
    BMC Bioinformatics, 19
  • [10] Single-cell gene expression analysis reveals -cell dysfunction and deficit mechanisms in type 2 diabetes
    Ma, Lichun
    Zheng, Jie
    BMC BIOINFORMATICS, 2018, 19