Unveiling Shared Immune Responses in Porcine Alveolar Macrophages during ASFV and PRRSV Infection Using Single-Cell RNA-seq

被引:1
|
作者
Jiang, Bo [1 ]
Li, Lu [1 ]
Wu, Yu [1 ]
Wang, Xiaoying [1 ]
Gao, Ning [1 ]
Xu, Zhichao [1 ]
Guo, Chunhe [1 ]
He, Sheng [1 ]
Zhang, Guihong [2 ]
Chen, Yaosheng [1 ]
Liu, Xiaohong [1 ]
Li, Zhengcao [1 ,3 ]
机构
[1] Sun Yat Sen Univ, Sch Life Sci, State Key Lab Biocontrol, Guangzhou 510006, Peoples R China
[2] South China Agr Univ, Res Ctr African Swine Fever Prevent & Control, Guangzhou 510642, Peoples R China
[3] Jiaying Univ, Sch Biol, Meizhou 514015, Peoples R China
关键词
pigs; single-cell RNA sequencing (scRNA-seq); ASFV; PRRSV; PAMs; immune responses; RESPIRATORY SYNDROME; REPLICATION; MECHANISM; PROTEINS; SAMHD1; GENES; MX1;
D O I
10.3390/microorganisms12030563
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
African swine fever virus (ASFV) and porcine reproductive and respiratory syndrome virus (PRRSV) infections lead to severe respiratory diseases in pigs, resulting in significant economic losses for the global swine industry. While numerous studies have focused on specific gene functions or pathway activities during infection, an investigation of shared immune responses in porcine alveolar macrophages (PAMs) after ASFV and PRRSV infections was lacking. In this study, we conducted a comparison using two single-cell transcriptomic datasets generated from PAMs under ASFV and PRRSV infection. Pattern recognition receptors (PRRs) RIG-I (DDX58), MDA5 (IFIH1), and LGP2 (DHX58) were identified as particularly recognizing ASFV and PRRSV, triggering cellular defense responses, including the upregulation of four cytokine families (CCL, CXCL, IL, and TNF) and the induction of pyroptosis. Through weighted gene co-expression network analysis and protein-protein interaction analysis, we identified thirteen gene and protein interactions shared by both scRNA-seq analyses, suggesting the ability to inhibit both ASFV and PRRSV viral replication. We discovered six proteins (PARP12, PARP14, HERC5, DDX60, RSAD2, and MNDA) in PAMs as inhibitors of ASFV and PRRSV replication. Collectively, our findings showed detailed characterizations of the immune responses in PAMs during ASFV and PRRSV infections, which may facilitate the treatments of these viral diseases.
引用
收藏
页数:17
相关论文
共 50 条
  • [31] Unveiling heterogeneity and prognostic markers in ductal breast cancer through single-cell RNA-seq
    Hou, Jianxun
    Liu, Wei
    Yan, Meihong
    Ren, Yanlv
    Qian, Cheng
    Fu, Yingqiang
    Wang, Hongbin
    Li, Zhigao
    CANCER CELL INTERNATIONAL, 2024, 24 (01)
  • [32] Single-cell RNA-seq landscape midbrain cell responses to red spotted grouper nervous necrosis virus infection
    Wang, Qing
    Peng, Cheng
    Yang, Min
    Huang, Fengqi
    Duan, Xuzhuo
    Wang, Shaowen
    Cheng, Huitao
    Yang, Huirong
    Zhao, Huihong
    Qin, Qiwei
    PLOS PATHOGENS, 2021, 17 (06)
  • [33] Time-resolved single-cell RNA-seq using metabolic RNA labelling
    Nature Reviews Methods Primers, 2 (1):
  • [34] Integrative Analysis of Bulk RNA-Seq and Single-Cell RNA-Seq Unveils the Characteristics of the Immune Microenvironment and Prognosis Signature in Prostate Cancer
    Wang, Ruisong
    Xiao, Yaqian
    Pan, Meisen
    Chen, Zhongyuan
    Yang, Pinhong
    JOURNAL OF ONCOLOGY, 2022, 2022
  • [35] Time-resolved single-cell RNA-seq using metabolic RNA labelling
    Florian Erhard
    Antoine-Emmanuel Saliba
    Alexandra Lusser
    Christophe Toussaint
    Thomas Hennig
    Bhupesh K. Prusty
    Daniel Kirschenbaum
    Kathleen Abadie
    Eric A. Miska
    Caroline C. Friedel
    Ido Amit
    Ronald Micura
    Lars Dölken
    Nature Reviews Methods Primers, 2
  • [36] Single-cell RNA-seq reveals early heterogeneity during aging in yeast
    Wang, Jincheng
    Sang, Yuchen
    Jin, Shengxian
    Wang, Xuezheng
    Azad, Gajendra Kumar
    McCormick, Mark A.
    Kennedy, Brian K.
    Li, Qing
    Wang, Jianbin
    Zhang, Xiannian
    Zhang, Yi
    Huang, Yanyi
    AGING CELL, 2022, 21 (11)
  • [37] Time-resolved single-cell RNA-seq using metabolic RNA labelling
    Erhard, Florian
    Saliba, Antoine-Emmanuel
    Lusser, Alexandra
    Toussaint, Christophe
    Hennig, Thomas
    Prusty, Bhupesh K.
    Kirschenbaum, Daniel
    Abadie, Kathleen
    Miska, Eric A.
    Friedel, Caroline C.
    Amit, Ido
    Micura, Ronald
    Doelken, Lars
    NATURE REVIEWS METHODS PRIMERS, 2022, 2 (01):
  • [38] sc-ImmuCC: hierarchical annotation for immune cell types in single-cell RNA-seq
    Jiang, Ying
    Chen, Ziyi
    Han, Na
    Shang, Jingzhe
    Wu, Aiping
    FRONTIERS IN IMMUNOLOGY, 2023, 14
  • [39] Single-Cell RNA-seq Highlights Immune-Driven Gender Differences in Glioblastoma
    Wang, Elaina
    Young, Jacob
    Chen, Jia-Shu
    Aghi, Manish Kumar
    NEUROSURGERY, 2023, 69 : 44 - 44
  • [40] Single-cell RNA-seq reveals T cell exhaustion and immune response landscape in osteosarcoma
    Fan, Qizhi
    Wang, Yiyan
    Cheng, Jun
    Pan, Boyu
    Zang, Xiaofang
    Liu, Renfeng
    Deng, Youwen
    FRONTIERS IN IMMUNOLOGY, 2024, 15