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首页> 外文期刊>Scientific reports. >Quantitative proteomics by SWATH-MS reveals sophisticated metabolic reprogramming in hepatocellular carcinoma tissues
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Quantitative proteomics by SWATH-MS reveals sophisticated metabolic reprogramming in hepatocellular carcinoma tissues

机译:SWATH-MS的定量蛋白质组学揭示了肝细胞癌组织中复杂的代谢重编程

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Hepatocellular carcinoma (HCC) is one of the most common cancers worldwide, and understanding its molecular pathogenesis is pivotal to managing this disease. Sequential window acquisition of all theoretical mass spectra (SWATH-MS) is an optimal proteomic strategy to seek crucial proteins involved in HCC development and progression. In this study, a quantitative proteomic study of tumour and adjacent non-tumour liver tissues was performed using a SWATH-MS strategy. In total, 4,216 proteins were reliably quantified, and 338 were differentially expressed, with 191 proteins up-regulated and 147 down-regulated in HCC tissues compared with adjacent non-tumourous tissues. Functional analysis revealed distinct pathway enrichment of up- and down-regulated proteins. The most significantly down-regulated proteins were involved in metabolic pathways. Notably, our study revealed sophisticated metabolic reprogramming in HCC, including alteration of the pentose phosphate pathway; serine, glycine and sarcosine biosynthesis/metabolism; glycolysis; gluconeogenesis; fatty acid biosynthesis; and fatty acid β-oxidation. Twenty-seven metabolic enzymes, including PCK2, PDH and G6PD, were significantly changed in this study. To our knowledge, this study presents the most complete view of tissue-specific metabolic reprogramming in HCC, identifying hundreds of differentially expressed proteins, which together form a rich resource for novel drug targets or diagnostic biomarker discovery.
机译:肝细胞癌(HCC)是全世界最常见的癌症之一,并且了解其分子发病机制是治疗这种疾病的关键。顺序窗口获取所有理论质谱(SWATH-MS)是一种最佳的蛋白质组学策略,以寻求参与HCC开发和进展的关键蛋白质。在该研究中,使用SWATH-MS策略进行肿瘤和相邻非肿瘤肝组织的定量蛋白质组学研究。总共可靠地定量了4,216个蛋白质,并且338差异表达,191例蛋白质上调,与相邻的非毒素组织相比,HCC组织中的下调147。功能分析显示了上调和下调蛋白质的明显途径。最显着的下调蛋白质涉及代谢途径。值得注意的是,我们的研究揭示了HCC中的复杂代谢重编程,包括戊糖磷酸盐途径的改变;丝氨酸,甘氨酸和肌氨酸生物合成/代谢;糖酵解;葡糖生成;脂肪酸生物合成;和脂肪酸β-氧化。该研究显着改变了二十七种代谢酶,包括PCK2,PDH和G6PD。据我们所知,本研究呈现了HCC中组织特异性代谢重编程的最完整观点,鉴定了数百种差异表达的蛋白质,其共同形成了新型药物靶标或诊断生物标志物发现的富资源。

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