iTRAQ-based quantitative subcellular proteomic analysis of Avibirnavirus-infected cells

被引:10
|
作者
Sun, Yanting [1 ]
Hu, Boli [2 ]
Fan, Chengfei [1 ]
Jia, Lu [1 ]
Zhang, Yina [1 ]
Du, Aifang [1 ]
Zheng, Xiaojuan [1 ,3 ,4 ]
Zhou, Jiyong [1 ,2 ,3 ,4 ]
机构
[1] Zhejiang Univ, Key Lab Anim Virol, Minist Agr, Hangzhou 310058, Zhejiang, Peoples R China
[2] Nanjing Agr Univ, Coll Vet Med, Nanjing, Jiangsu, Peoples R China
[3] Zhejiang Univ, Affiliated Hosp 1, State Key Lab, Hangzhou 310003, Zhejiang, Peoples R China
[4] Zhejiang Univ, Affiliated Hosp 1, Collaborat Innovat Ctr Diag & Treatment Infect Di, Hangzhou 310003, Zhejiang, Peoples R China
关键词
IBDV-infected cells; iTRAQ; Subcellular proteomics; JAPANESE ENCEPHALITIS-VIRUS; BURSAL DISEASE VIRUS; HELICASE DDX1 INTERACTS; NUCLEAR FACTOR; ISOBARIC TAGS; CELLULAR-PROTEINS; VIRAL-PROTEINS; RNA; IDENTIFICATION; SUPPRESSOR;
D O I
10.1002/elps.201500014
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Infectious bursal disease virus (IBDV) enters the host cells via endocytic pathway to achieve viral replication in the cytoplasm. Here, we performed LC-MS/MS coupled with isobaric tags for relative and absolute quantification labeling of differentially abundant proteins of IBDV-infected cells using a subcellular fractionation strategy. We show that the viral infection regulates the abundance and/or subcellular localization of 3211 proteins during early infection. In total, 23 cellular proteins in the cytoplasmic proteome and 34 in the nuclear proteome were significantly altered after virus infection. These differentially abundant proteins are involved in such biological processes as immune response, signal transduction, RNA processing, macromolecular biosynthesis, energy metabolism, virus binding, and cellular apoptosis. Moreover, transcriptional profiles of the 25 genes corresponding to the identified proteins were analyzed by quantitative real-time RT-PCR. Ingenuity Pathway Analysis clustered the differentially abundant proteins primarily into the mTOR pathway, PI3K/Akt pathway, and interferon- signaling cascades. Confocal microscopy showed colocalization of the viral protein VP3 with host proteins heterogeneous nuclear ribonucleoprotein H1, nuclear factor 45, apoptosis inhibitor 5, nuclear protein localization protein 4 and DEAD-box RNA helicase 42 during the virus infection. Together, these identified subcellular constituents provide important information for understanding host-IBDV interactions and underlying mechanisms of IBDV infection and pathogenesis.
引用
收藏
页码:1596 / 1611
页数:16
相关论文
共 50 条
  • [1] iTRAQ-based quantitative proteomic analysis of silkworm infected with Beauveria bassiana
    Lu, Dingding
    Xu, Ping
    Hou, Chengxiang
    Li, Ruilin
    Hu, Congwu
    Guo, Xijie
    [J]. MOLECULAR IMMUNOLOGY, 2021, 135 : 204 - 216
  • [2] iTRAQ-based quantitative proteomic analysis of cervical cancer
    Ding, Yibing
    Yang, Min
    She, Sha
    Min, Haiyan
    Xv, Xiaoming
    Ran, Xiaoping
    Wu, Yongzheng
    Wang, We
    Wang, Lei
    Yi, Long
    Yang, Yixuan
    Gao, Qian
    [J]. INTERNATIONAL JOURNAL OF ONCOLOGY, 2015, 46 (04) : 1748 - 1758
  • [3] iTRAQ-Based Quantitative Proteomic Analysis of Nasopharyngeal Carcinoma
    Cai, Xin-Zhang
    Zeng, Wei-Qun
    Xiang, Yi
    Liu, Yi
    Zhang, Hong-Min
    Li, Hong
    She, Sha
    Yang, Min
    Xia, Kun
    Peng, Shi-Fang
    [J]. JOURNAL OF CELLULAR BIOCHEMISTRY, 2015, 116 (07) : 1431 - 1441
  • [4] iTRAQ-based comparative proteomic analysis of cells infected with Eimeria tenella sporozoites
    Zhao, Zongping
    Zhao, Qiping
    Zhu, Shunhai
    Huang, Bing
    Lv, Ling
    Chen, Ting
    Yan, Ming
    Han, Hongyu
    Dong, Hui
    [J]. PARASITE, 2019, 26
  • [5] iTRAQ-Based Quantitative Proteomic Analysis of the Potentiated and Dormant Antler Stem Cells
    Dong, Zhen
    Ba, Hengxing
    Zhang, Wei
    Coates, Dawn
    Li, Chunyi
    [J]. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2016, 17 (11)
  • [6] iTRAQ-based quantitative proteomic analysis of peripheral blood serum in piglets infected withActinobacillus pleuropneumoniae
    Zhu, Rining
    Bao, Chuntong
    Liu, Baijun
    Xiao, Jiameng
    Sun, Changjiang
    Feng, Xin
    Langford, P. R.
    Li, Yang
    Lei, Liancheng
    [J]. AMB EXPRESS, 2020, 10 (01)
  • [7] iTRAQ-based quantitative proteomic analysis of peripheral blood serum in piglets infected with Actinobacillus pleuropneumoniae
    Rining Zhu
    Chuntong Bao
    Baijun Liu
    Jiameng Xiao
    Changjiang Sun
    Xin Feng
    P. R. Langford
    Yang Li
    Liancheng Lei
    [J]. AMB Express, 10
  • [8] iTRAQ-based quantitative proteomic analysis of Yamanaka factors reprogrammed breast cancer cells
    Wang, Kun
    Shan, Zhiyan
    Duan, Lian
    Gong, Tiantian
    Liu, Feng
    Zhang, Yue
    Wang, Zhendong
    Shen, Jingling
    Lei, Lei
    [J]. ONCOTARGET, 2017, 8 (21) : 34330 - 34339
  • [9] ITRAQ-based quantitative proteomic analysis of Cynops orientalis limb regeneration
    Jie Tang
    Yuan Yu
    Hanxue Zheng
    Lu Yin
    Mei Sun
    Wenjun Wang
    Jihong Cui
    Wenguang Liu
    Xin Xie
    Fulin Chen
    [J]. BMC Genomics, 18
  • [10] iTRAQ-Based Quantitative Proteomic Analysis of Duck Eggshell During Biomineralization
    Zhu, Feng
    Zhang, Fan
    Hincke, Maxwell
    Yin, Zhong-Tao
    Chen, Si-Rui
    Yang, Ning
    Hou, Zhuo-Cheng
    [J]. PROTEOMICS, 2019, 19 (11)