Proteomic analysis of DEN and CCl4-induced hepatocellular carcinoma mouse model

肝细胞癌 肝硬化 癌症研究 下调和上调 蛋白质组 肝癌 蛋白质组学 生物 基因 医学 生物信息学 生物化学 内科学
作者
Qian Zhang,Yuhui Liu,Liangliang Ren,Junqing Li,Weiran Lin,Lijuan Lou,Minghan Wang,Zesong Li,Ying Jiang
出处
期刊:Scientific Reports [Springer Nature]
卷期号:14 (1) 被引量:1
标识
DOI:10.1038/s41598-024-58587-6
摘要

Abstract Hepatocellular carcinoma (HCC) seriously threatens human health, mostly developed from liver fibrosis or cirrhosis. Since diethylnitrosamine (DEN) and carbon tetrachloride (CCl 4 )-induced HCC mouse model almost recapitulates the characteristic of HCC with fibrosis and inflammation, it is taken as an essential tool to investigate the pathogenesis of HCC. However, a comprehensive understanding of the protein expression profile of this model is little. In this study, we performed proteomic analysis of this model to elucidate its proteomic characteristics. Compared with normal liver tissues, 432 differentially expressed proteins (DEPs) were identified in tumor tissues, among which 365 were up-regulated and 67 were down-regulated. Through Gene Ontology (GO) analysis, Ingenuity Pathway Analysis (IPA), protein–protein interaction networks (PPI) analysis and Gene-set enrichment analysis (GSEA) analysis of DEPs, we identified two distinguishing features of DEN and CCl 4 -induced HCC mouse model in protein expression, the upregulation of actin cytoskeleton and branched-chain amino acids metabolic reprogramming. In addition, matching DEPs from the mouse model to homologous proteins in the human HCC cohort revealed that the DEN and CCl 4 -induced HCC mouse model was relatively similar to the subtype of HCC with poor prognosis. Finally, combining clinical information from the HCC cohort, we screened seven proteins with prognostic significance, SMAD2, PTPN1, PCNA, MTHFD1L, MBOAT7, FABP5, and AGRN. Overall, we provided proteomic data of the DEN and CCl 4 -induced HCC mouse model and highlighted the important proteins and pathways in it, contributing to the rational application of this model in HCC research.
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