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
  • [41] iTRAQ-based proteomic analysis of Paracoccidioides brasiliensis in response to hypoxia
    Oliveira, Lucas Nojosa
    Lima, Patricia de Sousa
    Araujo, Danielle Silva
    Portis, Igor Godinho
    Moreira dos Santos Junior, Agenor de Castro
    Guedes Coelho, Alexandre Siqueira
    de Sousa, Marcelo Valle
    Ornelas Ricart, Carlos Andre
    Fontes, Wagner
    de Almeida Soares, Celia Maria
    [J]. MICROBIOLOGICAL RESEARCH, 2021, 247
  • [42] iTRAQ-based quantitative proteomic analysis reveals dynamic changes during daylily flower senescence
    Ma, Guangying
    Shi, Xiaohua
    Zou, Qingcheng
    Tian, Danqing
    An, Xia
    Zhu, Kaiyuan
    [J]. PLANTA, 2018, 248 (04) : 859 - 873
  • [43] iTRAQ-based quantitative proteomic analysis of embryonic developmental stages in Amur sturgeon, Acipenser schrenckii
    Shubo Jin
    Dajiang Sun
    Dan Song
    Nianmin Wang
    Hongtuo Fu
    Feng Ji
    Ying Zhang
    [J]. Scientific Reports, 8
  • [44] Quantitative iTRAQ-based proteomic analysis of rice grains to assess high night temperature stress
    Zhang, Hong-Yu
    Lei, Gang
    Zhou, Hui-Wen
    He, Chao
    Liao, Jiang-Lin
    Huang, Ying-Jin
    [J]. PROTEOMICS, 2017, 17 (05)
  • [45] iTRAQ-Based Quantitative Proteomic Analysis of Intestines in Murine Polymicrobial Sepsis with Hydrogen Gas Treatment
    Jiang, Yi
    Bian, Yingxue
    Lian, Naqi
    Wang, Yaoqi
    Xie, Keliang
    Qin, Chao
    Yu, Yonghao
    [J]. DRUG DESIGN DEVELOPMENT AND THERAPY, 2020, 14 : 4885 - 4900
  • [46] iTRAQ-based quantitative proteomic analysis of the inhibition of cervical cancer cell invasion and migration by metformin
    Xia, Chenglai
    Yang, Fang
    He, Zhihong
    Cai, Yantao
    [J]. BIOMEDICINE & PHARMACOTHERAPY, 2020, 123
  • [47] iTRAQ-based quantitative proteomic analysis of heat stress-induced mechanisms in pepper seedlings
    Wang, Jing
    Liang, Chengliang
    Yang, Sha
    Song, Jingshuang
    Li, Xuefeng
    Dai, Xiongze
    Wang, Fei
    Juntawong, Niran
    Tan, Fangjun
    Zhang, Xilu
    Jiao, Chunhai
    Zou, Xuexiao
    Chen, Wenchao
    [J]. PEERJ, 2021, 9
  • [48] iTRAQ-based quantitative proteomic analysis of alterations in the intestine of Hu sheep under weaning stress
    Cui, Kai
    Wang, Bo
    Zhang, Naifeng
    Tu, Yan
    Ma, Tao
    Diao, Qiyu
    [J]. PLOS ONE, 2018, 13 (07):
  • [49] iTRAQ-based quantitative proteomic analysis of Microcystis aeruginosa exposed to spiramycin at different nutrient levels
    Chen, Shi
    Liu, Ying
    Zhang, Jian
    Gao, Baoyu
    [J]. AQUATIC TOXICOLOGY, 2017, 185 : 193 - 200
  • [50] 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