iTRAQ-Based Quantitative Proteomic Analysis of Nasopharyngeal Carcinoma

被引:15
|
作者
Cai, Xin-Zhang [1 ]
Zeng, Wei-Qun [2 ,3 ]
Xiang, Yi [3 ]
Liu, Yi [3 ]
Zhang, Hong-Min [3 ]
Li, Hong [3 ]
She, Sha [3 ]
Yang, Min [3 ]
Xia, Kun [1 ]
Peng, Shi-Fang [4 ,5 ]
机构
[1] Cent South Univ, State Key Lab Med Genet, Changsha, Hunan, Peoples R China
[2] Chongqing Med Univ, Affiliated Hosp 2, Dept Infect Dis, Chongqing, Peoples R China
[3] Chongqing Med Univ, Affiliated Hosp 2, Minist Educ, Key Lab Mol Biol Infect Dis, Chongqing, Peoples R China
[4] Cent South Univ, Xiangya Hosp, Dept Hepatol & Infect Dis, Changsha, Hunan, Peoples R China
[5] Cent South Univ, Xiangya Hosp, Dept Hlth Management Ctr, Changsha, Hunan, Peoples R China
关键词
NASOPHARYNGEAL CARCINOMA; PROTEOME; iTRAQ; SHOCK-PROTEIN; 27; 2-DIMENSIONAL ELECTROPHORESIS; NUCLEOPHOSMIN; CANCER-CELLS; TUMOR-GROWTH; EXPRESSION; HSPB1; IDENTIFICATION; RISK; NUCLEOLIN;
D O I
10.1002/jcb.25105
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Nasopharyngeal carcinoma (NPC) is a common disease in the southern provinces of China with a poor prognosis. To better understand the pathogenesis of NPC and identify proteins involved in NPC carcinogenesis, we applied iTRAQ coupled with two-dimensional LC-MS/MS to compare the proteome profiles of NPC tissues and the adjacent non-tumor tissues. We identified 54 proteins with differential expression in NPC and the adjacent non-tumor tissues. The differentially expressed proteins were further determined by RT-PCR and Western blot analysis. In addition, the up-regulation of HSPB1, NPM1 and NCL were determined by immunohistochemistry using tissue microarray. Functionally, we found that siRNA mediated knockdown of NPM1 inhibited the migration and invasion of human NPC CNE1 cell line. In summary, this is the first study on proteome analysis of NPC tissues using an iTRAQ method, and we identified many new differentially expressed proteins which are potential targets for the diagnosis and therapy of NPC. J. Cell. Biochem. 116: 1431-1441, 2015. (c) 2015 Wiley Periodicals, Inc.
引用
收藏
页码:1431 / 1441
页数:11
相关论文
共 50 条
  • [21] iTRAQ-Based Quantitative Proteomic Analysis of the Potentiated and Dormant Antler Stem Cells
    Dong, Zhen
    Ba, Hengxing
    Zhang, Wei
    Coates, Dawn
    Li, Chunyi
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2016, 17 (11)
  • [22] iTRAQ-based quantitative subcellular proteomic analysis of Avibirnavirus-infected cells
    Sun, Yanting
    Hu, Boli
    Fan, Chengfei
    Jia, Lu
    Zhang, Yina
    Du, Aifang
    Zheng, Xiaojuan
    Zhou, Jiyong
    ELECTROPHORESIS, 2015, 36 (14) : 1596 - 1611
  • [23] iTRAQ-based quantitative proteomic analysis reveals alterations in the metabolism of Actinidia arguta
    Miaomiao Lin
    Jinbao Fang
    Xiujuan Qi
    Yukuo Li
    Jinyong Chen
    Leiming Sun
    Yunpeng Zhong
    Scientific Reports, 7
  • [24] iTRAQ-based quantitative proteomic analysis provides insight for molecular mechanism of neuroticism
    Tian, Lei
    You, Hong-Zhao
    Wu, Hao
    Wei, Yu
    Zheng, Min
    He, Lei
    Liu, Jin-Ying
    Guo, Shu-Zhen
    Zhao, Yan
    Zhou, Ren-Lai
    Hu, Xingang
    CLINICAL PROTEOMICS, 2019, 16 (01)
  • [25] Identification of Candidate Biomarkers in Malignant Ascites from Patients with Hepatocellular Carcinoma by iTRAQ-Based Quantitative Proteomic Analysis
    Zhang, Jinyan
    Liang, Rong
    Wei, Jiazhang
    Ye, Jiaxiang
    He, Qian
    ChunlingYuan
    Ye, Jiazhou
    Li, Yongqiang
    Liu, Zhihui
    Lin, Yan
    BIOMED RESEARCH INTERNATIONAL, 2018, 2018
  • [26] Quantitative iTRAQ-based proteomic analysis of differentially expressed proteins in aging in human and monkey
    Wang, Hao
    Zhu, Xiaoqi
    Shen, Junyan
    Zhao, En-Feng
    He, Dajun
    Shen, Haitao
    Liu, Hailiang
    Zhou, Yongxin
    BMC GENOMICS, 2019, 20 (01)
  • [27] iTRAQ-based quantitative proteomic analysis of the hepatopancreas in Scylla paramamosain during the molting cycle
    Liu, Lei
    Fu, Yuanyuan
    Xiao, Lichan
    Liu, Xiao
    Fang, Wei
    Wang, Chunlin
    COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY D-GENOMICS & PROTEOMICS, 2021, 40
  • [28] Quantitative iTRAQ-based proteomic analysis of differentially expressed proteins in aging in human and monkey
    Hao Wang
    Xiaoqi Zhu
    Junyan Shen
    En-Feng Zhao
    Dajun He
    Haitao Shen
    Hailiang Liu
    Yongxin Zhou
    BMC Genomics, 20
  • [29] An iTRAQ-Based Quantitative Proteomic Analysis of Plasma Proteins in Preterm Newborns With Retinopathy of Prematurity
    Zasada, Magdalena
    Suski, Maciej
    Bokiniec, Renata
    Szwarc-Duma, Monika
    Borszewska-Kornacka, Maria Katarzyna
    Madej, Jozef
    Bujak-Gizycka, Beata
    Madetko-Talowska, Anna
    Revhaug, Cecilie
    Baumbusch, Lars O.
    Saugstad, Ola D.
    Pietrzyk, Jacek Jozef
    Kwinta, Przemko
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2018, 59 (13) : 5312 - 5319
  • [30] iTRAQ-based quantitative proteomic analysis reveals multiple effects of Emodin to Haemophilus parasuis
    Li, Li
    Tian, Ye
    Yu, Jiankang
    Song, Xu
    Jia, Renyong
    Cui, Qiankun
    Tong, Wenzhi
    Zou, Yuanfeng
    Li, Lixia
    Yin, Lizi
    Liang, Xiaoxia
    He, Changliang
    Yue, Guizhou
    Ye, Gang
    Zhao, Ling
    Shi, Fei
    Lv, Cheng
    Cao, Sanjie
    Yin, Zhongqiong
    JOURNAL OF PROTEOMICS, 2017, 166 : 39 - 47