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硫酸铍诱导大鼠差异表达蛋白的蛋白质组学特征

Proteomic characteristics of beryllium sulfate-induced differentially expressed proteins in rats.

作者信息

Zheng Kai, Cai Ying, Lei Yuandi, Liu Yanping, Sun Zhanbing, Wang Ye, Xu Xinyun, Zhang Zhaohui

机构信息

School of public health, University of South China, Hengyang, Hunan 421001, China.

Institute of Environment and Health, Shenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong 518055, China.

出版信息

Toxicol Res (Camb). 2021 Jun 14;10(5):962-974. doi: 10.1093/toxres/tfab051. eCollection 2021 Oct.

Abstract

Sprague Dawley rats were exposed to beryllium sulfate (BeSO), and proteomic and bioinformatic techniques were applied to screen for differentially expressed proteins in their lung tissue and serum. A total of 12 coexpression modules were constructed for 18 samples with 2333 proteins. Four modules were found to have significant differences in the regulation of protein coexpression modules in the serum following exposure to BeSO. A further three modules had significant differences in the regulation of protein coexpression modules in the lung tissues. Five modules with good correlation were obtained by calculating the gene significance and module membership values, whereas these module Hub proteins included: Hspbp1, Rps15a, Srsf2, Hadhb, Elmo3, Armt1, Rpl18, Afap1L1, Eif3d, Eif3c, and Rps3. The five proteins correlating highest with the Hub proteins in the lung tissue and serum samples were obtained using string analysis. KEGG and GO enrichment analyses showed that these proteins are mainly involved in ribosome formation, apoptosis, cell cycle regulation, and tumor necrosis factor regulation. By analyzing the biological functions of these proteins, proteins that can be used as biomarkers, such as Akt1, Prpf19, Cct2, and Rpl18, are finally obtained.

摘要

将Sprague Dawley大鼠暴露于硫酸铍(BeSO),并应用蛋白质组学和生物信息学技术筛选其肺组织和血清中差异表达的蛋白质。对18个样本中的2333种蛋白质构建了总共12个共表达模块。发现有四个模块在暴露于BeSO后血清中蛋白质共表达模块的调控方面存在显著差异。另外三个模块在肺组织中蛋白质共表达模块的调控方面存在显著差异。通过计算基因显著性和模块成员值获得了五个相关性良好的模块,这些模块的中心蛋白包括:Hspbp1、Rps15a、Srsf2、Hadhb、Elmo3、Armt1、Rpl18、Afap1L1、Eif3d、Eif3c和Rps3。使用字符串分析获得了与肺组织和血清样本中的中心蛋白相关性最高的五种蛋白质。KEGG和GO富集分析表明,这些蛋白质主要参与核糖体形成、细胞凋亡、细胞周期调控和肿瘤坏死因子调控。通过分析这些蛋白质的生物学功能,最终获得了可作为生物标志物的蛋白质,如Akt1、Prpf19、Cct2和Rpl18。

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