Comparative proteomics analysis of samples from hepatic cystic echinococcosis patients using data-independent acquisition approach

被引:0
|
作者
Tuerxun, Kahaer [1 ]
Tang, Rong-Hua [1 ]
Abudoumijiti, Aabudouxikuer [1 ]
Yusupu, Zainuer [2 ]
Aikebaier, Aizemaiti [1 ]
Mijiti, Salamu [1 ]
Ibrahim, Irshat [1 ]
Cao, Yan-Long [1 ]
Yasheng, Abudoukeyimu [1 ]
Wu, Yuan-Quan [1 ]
机构
[1] First Peoples Hosp Kashgar, Dept Hepatobiliary & Pancreat Surg, 120 Yingbin Rd, Kashgar 844000, Kashgar, Peoples R China
[2] First Peoples Hosp Kashgar, Dept Ultrasound, Kashgar 844000, Kashgar, Peoples R China
关键词
E; granulosus; Data-independent acquisition; Differentially expressed proteins; INFECTION;
D O I
10.1016/j.jprot.2024.105191
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Cystic echinococcosis is a zoonotic disease resulting from infection caused by the larval stage of Echinococcus granulosus. This study aimed to assess the specific proteins that are potential candidates for the development of a vaccine against E. granulosus. The data -independent acquisition approach was employed to identify differentially expressed proteins (DEPs) in E. granulosus samples. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis was employed to identify several noteworthy proteins. Results: The DEPs in E. granulosus samples were identified (245 pericystic wall vs. parasite -free yellowish granuloma (PYG, 1725 PY vs. PYG, 2274 PN vs. PYG). Further examination of these distinct proteins revealed their predominant enrichment in metabolic pathways, amyotrophic lateral sclerosis, and neurodegeneration associated pathways. Notably, among these DEPs, SH3BGRL, MST1, TAGLN2, FABP5, UBE2V2, and RARRES2 exhibited significantly higher expression levels in the PYG group compared with the PY group (P < 0.05). The findings may contribute to the understanding of the pathological mechanisms underlying echinococcosis, providing valuable insights into the development of more effective diagnostic tools, treatment modalities, and preventive strategies. Significance: CE is a major public health hazard in the western regions of China, Central Asia, South America, the Mediterranean countries, and eastern Africa. Echinococcus granulosus is responsible for zoonotic disease through infection Our analysis focuses on the proteins in various samples by data -dependent acquisition (DIA) for proteomic analysis. The importance of this research is to develop new strategies and targets to protect against E. granulosus infections in humans.
引用
收藏
页数:7
相关论文
共 37 条
  • [1] Comparative analysis of whey proteins in yak milk from different breeds in China using a data-independent acquisition proteomics method
    Gao, Yu
    Ma, Ying
    Pan, Lina
    Li, Wei
    Peng, Xiaoyu
    Zhang, Min
    Dong, Ling
    Wang, Jiaqi
    Gu, Ruixia
    JOURNAL OF DAIRY SCIENCE, 2023, 106 (06) : 3791 - 3806
  • [2] DIAproteomics: A Multifunctional Data Analysis Pipeline for Data-Independent Acquisition Proteomics and Peptidomics
    Bichmann, Leon
    Gupta, Shubham
    Rosenberger, George
    Kuchenbecker, Leon
    Sachsenberg, Timo
    Ewels, Phil
    Alka, Oliver
    Pfeuffer, Julianus
    Kohlbacher, Oliver
    Rost, Hannes
    JOURNAL OF PROTEOME RESEARCH, 2021, 20 (07) : 3758 - 3766
  • [3] A comparative study of data-dependent acquisition and data-independent acquisition in proteomics analysis of clinical lung cancer tissues constrained by blood contamination
    Su, Tao
    Zhong, Yi
    Zeng, Weibiao
    Zhang, Yong
    Wang, Shisheng
    Cheng, Jingqiu
    Yang, Hao
    Wei, Yiping
    Gong, Meng
    PROTEOMICS CLINICAL APPLICATIONS, 2022, 16 (03)
  • [4] Evaluating the Performance of the Astral Mass Analyzer for Quantitative Proteomics Using Data-Independent Acquisition
    Heil, Lilian R.
    Damoc, Eugen
    Arrey, Tabiwang N.
    Pashkova, Anna
    Denisov, Eduard
    Petzoldt, Johannes
    Peterson, Amelia C.
    Hsu, Chris
    Searle, Brian C.
    Shulman, Nicholas
    Riffle, Michael
    Connolly, Brian
    Maclean, Brendan X.
    Remes, Philip M.
    Senko, Michael W.
    Stewart, Hamish I.
    Hock, Christian
    Makarov, Alexander A.
    Hermanson, Daniel
    Zabrouskov, Vlad
    Wu, Christine C.
    Maccoss, Michael J.
    JOURNAL OF PROTEOME RESEARCH, 2023, 22 (10) : 3290 - 3300
  • [5] Clinical applications of quantitative proteomics using targeted and untargeted data-independent acquisition techniques
    Meyer, Jesse G.
    Schilling, Birgit
    EXPERT REVIEW OF PROTEOMICS, 2017, 14 (05) : 419 - 429
  • [6] In-depth protein profiling of the postsynaptic density from mouse hippocampus using data-independent acquisition proteomics
    Distler, Ute
    Schmeisser, Michael J.
    Pelosi, Assunta
    Reim, Dominik
    Kuharev, Joerg
    Weiczner, Roland
    Baumgart, Jan
    Boeckers, Tobias M.
    Nitsch, Robert
    Vogt, Johannes
    Tenzer, Stefan
    PROTEOMICS, 2014, 14 (21-22) : 2607 - 2613
  • [7] Democratizing data-independent acquisition proteomics analysis on public cloud infrastructures via the Galaxy framework
    Fahrner, Matthias
    Foll, Melanie Christine
    Gruning, Bjorn Andreas
    Bernt, Matthias
    Rost, Hannes
    Schilling, Oliver
    GIGASCIENCE, 2022, 11
  • [8] Democratizing data-independent acquisition proteomics analysis on public cloud infrastructures via the Galaxy framework
    Fahrner, Matthias
    Foell, Melanie Christine
    Gruening, Bjorn Andreas
    Bernt, Matthias
    Roest, Hannes
    Schilling, Oliver
    GIGASCIENCE, 2022, 11
  • [9] Leveraging homologies for cross-species plasma proteomics in ungulates using data-independent acquisition
    Noor, Zainab
    Paramasivan, Selvam
    Ghodasara, Priya
    Chemonges, Saul
    Gupta, Rajesh
    Kopp, Steven
    Mills, Paul C.
    Ranganathan, Shoba
    Satake, Nana
    Sadowski, Pawel
    JOURNAL OF PROTEOMICS, 2022, 250
  • [10] Untargeted, spectral library-free analysis of data-independent acquisition proteomics data generated using Orbitrap mass spectrometers
    Tsou, Chih-Chiang
    Tsai, Chia-Feng
    Teo, Guo Ci
    Chen, Yu-Ju
    Nesvizhskii, Alexey I.
    PROTEOMICS, 2016, 16 (15-16) : 2257 - 2271