Proteomic analysis of japonica sorghum following microwave intermittent drying based on label-free technology

被引:0
|
作者
Zhang, Ji-Jun [1 ]
Cao, Long-Kui [2 ,3 ]
Yi, Shu-Juan [1 ]
Che, Gang [1 ]
Wang, Wei-Hao [2 ,3 ]
Liu, Wei [2 ]
Jia, Xin-Yu [1 ]
Wei, Chun-Hong [2 ]
Wang, Yi-Fei [2 ]
Wu, Yun-Jiao [2 ]
Jiang, Yan-Bin [4 ]
机构
[1] Heilongjiang Bayi Agr Univ, Coll Engn, Daqing, Peoples R China
[2] Heilongjiang Bayi Agr Univ, Coll Food Sci, Daqing, Peoples R China
[3] Heilongjiang Bayi Agr Univ, Natl Engn Res Ctr Coarse Grains, Daqing, Peoples R China
[4] Daqing Lianggu Food Technol Ltd Co, Beidahuang Grp, Daqing, Peoples R China
来源
关键词
japonica sorghum; microwave intermittent drying; proteomics; differential protein metabolism; GENE;
D O I
10.1590/fst.96621
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
The aim of this study was to investigate the influence of microwave drying on the protein quality of japonica sorghum following an intermittent drying test. Using label-free technology and liquid chromatography-tandem mass spectrometry for proteomic analysis, the effects of microwave drying on sorghum differential protein expression, functional classification, and metabolic pathways were analyzed at the molecular level. After sorghum was dried using a microwave, 85 differential proteins were identified. Among them, 51 showed up-regulated expression while 34 had down-regulated expression. The up-regulation and down-regulation of differential protein expressions significantly changed them, and proteins with larger up-regulated and down regulated expressions were postulated to affect biological and metabolic processes of sorghum during subsequent processing. Differential proteins were significantly (P < 0.01) involved in metabolic pathways, such as carbon metabolism, glycolysis/ gluconeogenesis, carbon fixation in photosynthetic organisms, biosynthesis of amino acids, amino sugar and nucleotide sugar metabolism, and the TCA cycle. For the protein interaction network, glyceraldehyde-3-phosphate dehydrogenase of the down regulated proteins was postulated to be the key factor affecting the entire metabolic system or signal transduction pathway. Up-regulated proteins, including phosphoglycerate mutase and phosphopyruvate hydratase, as well as down-regulated proteins such as glyceraldehyde-3-phosphate dehydrogenase and fructose-bisphosphate aldolase, not only directly or indirectly affected a variety of metabolic processes, but were specifically closely related to glycolysis and glycometabolism. Overall, this study showed that among the related metabolic pathways, differential protein changes in glycometabolism pathways may have the greatest impact on metabolic processes. The research results discussed herein can provide theoretical support for the industrial application of microwave drying and deep processing of sorghum.
引用
收藏
页数:10
相关论文
共 50 条
  • [21] Label-Free Proteomic Analysis of Wheat Gluten Proteins and Their Immunoreactivity to ELISA Antibodies
    Martinez-Esteso, Maria Jose
    Brohee, Marcel
    Norgaard, Jorgen
    O'Connor, Gavin
    CEREAL CHEMISTRY, 2017, 94 (05) : 820 - 826
  • [22] Label-free, normalized quantification of complex mass spectrometry data for proteomic analysis
    Griffin, Noelle M.
    Yu, Jingyi
    Long, Fred
    Oh, Phil
    Shore, Sabrina
    Li, Yan
    Koziol, Jim A.
    Schnitzer, Jan E.
    NATURE BIOTECHNOLOGY, 2010, 28 (01) : 83 - U116
  • [23] High throughput and label-free particle sensor based on microwave resonators
    Tsai, Tzung-Tsuen
    Fang, Ying-Chih
    Wu, Shin-Kuan
    Chang, Ren-Hao
    Chien, Wei-Chen
    Chang, Yu-Han
    Wu, Cen-Shawn
    Kuo, Watson
    SENSORS AND ACTUATORS A-PHYSICAL, 2019, 285 : 652 - 658
  • [24] Label-free proteomic analysis reveals the hepatoprotective mechanism of gypenosides in liver injury rats
    Chen, Yu
    Ma, Lizhou
    Wang, Yibo
    Zhang, Jiarui
    Pei, Tianhe
    Wang, Miao
    FRONTIERS IN PHARMACOLOGY, 2024, 15
  • [25] Label-free proteomic analysis of serum exosomes from paroxysmal atrial fibrillation patients
    Ni, Hanwen
    Pan, Wenqi
    Jin, Qi
    Xie, Yucai
    Zhang, Ning
    Chen, Kang
    Lin, Tianyou
    Lin, Changjian
    Xie, Yun
    Wu, Jiemin
    Ni, Peihua
    Wu, Liqun
    CLINICAL PROTEOMICS, 2021, 18 (01)
  • [26] A Label-Free Proteomic Analysis on Competent Larvae and Juveniles of the Pacific Oyster Crassostrea gigas
    Huan, Pin
    Wang, Hongxia
    Liu, Baozhong
    PLOS ONE, 2015, 10 (08):
  • [27] Datasets from label-free quantitative proteomic analysis of human glomeruli with sclerotic lesions
    Zhang, Ying
    Xu, Bo
    Kinoshita, Naohiko
    Yoshida, Yutaka
    Tasaki, Masayuki
    Fujinaka, Hidehiko
    Magdeldin, Sameh
    Yaoita, Eishin
    Yamamoto, Tadashi
    DATA IN BRIEF, 2015, 4 : 180 - 185
  • [28] Label-free proteomic analysis of serum exosomes from paroxysmal atrial fibrillation patients
    Hanwen Ni
    Wenqi Pan
    Qi Jin
    Yucai Xie
    Ning Zhang
    Kang Chen
    Tianyou Lin
    Changjian Lin
    Yun Xie
    Jiemin Wu
    Peihua Ni
    Liqun Wu
    Clinical Proteomics, 2021, 18
  • [29] The application of cell-based label-free technology in drug discovery
    Xi, Biao
    Yu, Naichen
    Wang, Xiaobo
    Xu, Xiao
    Abassi, Yama A.
    Biotechnology Journal, 2008, 3 (04) : 484 - 495
  • [30] Label-free neural networks-based inverse lithography technology
    Chen, Jing-Tao
    Zhao, Yuan-Yuan
    Zhang, Yang
    Zhu, Jian-Xin
    Duan, Xuan-Ming
    OPTICS EXPRESS, 2022, 30 (25) : 45312 - 45326