iTRAQ-Based Quantitative Proteomic Analysis of the Potentiated and Dormant Antler Stem Cells

被引:25
|
作者
Dong, Zhen [1 ,2 ]
Ba, Hengxing [1 ,2 ]
Zhang, Wei [1 ,2 ]
Coates, Dawn [3 ]
Li, Chunyi [1 ,2 ]
机构
[1] Chinese Acad Agr Sci, Inst Special Wild Econ Anim & Plants, Changchun 130112, Peoples R China
[2] State Key Lab Mol Biol Special Econ Anim, Changchun 130112, Peoples R China
[3] Univ Otago, Sir John Walsh Res Inst, Fac Dent, POB 647, Dunedin 9054, New Zealand
关键词
regeneration; antler stem cell; proteome; iTRAQ; ENDOTHELIAL GROWTH-FACTOR; NEGATIVE REGULATOR; ENERGY-METABOLISM; REGENERATION; PROLIFERATION; OSTEOBLAST; HYPOXIA; DIFFERENTIATION; QUANTIFICATION; IDENTIFICATION;
D O I
10.3390/ijms17111778
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
As the only known organ that can completely regenerate in mammals, deer antler is of real significance in the field of regenerative medicine. Recent studies have shown that the regenerative capacity of the antlers comes from the pedicle periosteum and the cells resident in the periosteum possess the attributes of stem cells. Currently, the molecular mechanism of antler regeneration remains unclear. In the present study, we compared the potentiated and dormant antler stem cells using isobaric tags for the relative and absolute quantification (iTRAQ) labeling of the peptides, coupled with two-dimensional liquid chromatography-tandem mass spectrometry (LC-MS/MS) to compare the proteome profiles. Proteins were identified by searching against the NCBI nr database and our own Cervine transcriptome database, and bioinformatics analysis was conducted to identify the differentially expressed proteins. Based on this searching strategy, we identified 169 differentially expressed proteins in total, consisting of 70 up-and 99 down-regulated in the potentiated vs. dormant antler stem cells. Reliability of the iTRAQ was confirmed via quantitative real-time polymerase chain reaction (qRT-PCR) to measure the expression of selected genes. We identified transduction pathways through the Kyoto Encyclopedia of Genes and Genomes (KEGG) database, such as HIF-1 and PI3K-AKT signaling pathways that play important roles in regulating the regeneration of antlers. In summary, the initiation stage of antler regeneration, a process from dormant to potentiated states in antler stem cells, is regulated by multiple proteins and complicated signal networks.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] 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
  • [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 subcellular proteomic analysis of Avibirnavirus-infected cells
    Sun, Yanting
    Hu, Boli
    Fan, Chengfei
    Jia, Lu
    Zhang, Yina
    Du, Aifang
    Zheng, Xiaojuan
    Zhou, Jiyong
    [J]. ELECTROPHORESIS, 2015, 36 (14) : 1596 - 1611
  • [4] 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
  • [5] 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
  • [6] 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)
  • [7] iTRAQ-based quantitative proteomic analysis of salt stress in Spica Prunellae
    Zixiu Liu
    Lisi Zou
    Cuihua Chen
    Hui Zhao
    Ying Yan
    Chengcheng Wang
    Xunhong Liu
    [J]. Scientific Reports, 9
  • [8] iTRAQ-based quantitative proteomic analysis of esophageal squamous cell carcinoma
    Deng, Feiyan
    Zhou, Keming
    Li, Qiaoxin
    Liu, Dong
    Li, Mengyan
    Wang, Hui
    Zhang, Wei
    Ma, Yuqing
    [J]. TUMOR BIOLOGY, 2016, 37 (02) : 1909 - 1918
  • [9] ITRAQ-based quantitative proteomic analysis of Cynops orientalis limb regeneration
    Tang, Jie
    Yu, Yuan
    Zheng, Hanxue
    Yin, Lu
    Sun, Mei
    Wang, Wenjun
    Cui, Jihong
    Liu, Wenguang
    Xie, Xin
    Chen, Fulin
    [J]. BMC GENOMICS, 2017, 18
  • [10] iTRAQ-based quantitative proteomic analysis of salt stress in Spica Prunellae
    Liu, Zixiu
    Zou, Lisi
    Chen, Cuihua
    Zhao, Hui
    Yan, Ying
    Wang, Chengcheng
    Liu, Xunhong
    [J]. SCIENTIFIC REPORTS, 2019, 9 (1)