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葡萄糖在癌症代谢中的流平衡分析研究

Flux Balance Analysis of Glucose Metabolism in Cancers

中文摘要英文摘要

与正常细胞通过氧化磷酸化过程为细胞过程提供能量不同,癌症细胞趋向于利用有氧酵解的方式产生能量,此现象被称为Warburg 效应。但是对于有氧酵解过程来说,相对于氧化磷酸化过程在能量产生方面效率并不高,其赋予癌症细胞的优势还一直不为人所知。随着高通量实验技术的发展,组学数据呈爆炸式的增长,因此需要一种成熟的数据分析模型在大规模的组学数据中挖掘生物信息。在本文中,我们整合组织特异性基因表达数据以及蛋白质表达数据,利用已有的基于基因尺度的代谢网络上建立了改进的流平衡分析模型,利用该模型可以预测不同组织的代谢特征。随后,我们利用该模型对不同癌症细胞进行了分析,结合他人的研究,对Warburg产生的原因以及机理做出了推测。

In contrast to normal differentiated cells, which rely primarily on mitochondrial oxidative phosphorylation to generate energy needed for the cellular processes, most cancer cells tend to instead rely on aerobic glycolysis. this phenomenon termed "Warburg Effect". Aerobic glycolysis is a ineffective way to generate adenosine 5'-triphosphate (ATP) , however , the advantage it confers to cancer cells remains suspected. Development of high-throughput analysis method results in the explosive growth of omics-data, there needs a sophisticated data analysis model integrating these abundant data to mine bioinformation. In this article, a enhanced flux balance analysis model which integrates tissuse-specific gene-expression and protein-expression data with an existing comprehensive reconstruction of genome-based metabolic network is designed for predicting the tissue-specific metabolic activity features. Thereafter, we utilize our model to explore the reason why and how Warburg Effect occurs, and then we made our guess based on remarkable jobs of others.

宋天赐、杜伟、田原

肿瘤学生物科学研究方法、生物科学研究技术生物化学

生物信息学流平衡分析组学数据基于基因尺度的代谢网络

BioinformaticsFlux balance analysisOmics-dataGenome-scale metabolic network

宋天赐,杜伟,田原.葡萄糖在癌症代谢中的流平衡分析研究[EB/OL].(2015-10-20)[2025-08-16].http://www.paper.edu.cn/releasepaper/content/201510-151.点此复制

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