嗜铬细胞瘤和副神经节瘤的代谢组学和蛋白质组学:将生物化学和生物学应用于临床。

Jiri Petrak, Sergei G Tevosian, Susan Richter, Hans K Ghayee
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引用次数: 0

摘要

人们越来越多地通过大数据分析(omics)来了解omes--关键细胞组合(基因组和表观基因组、转录组、蛋白质组和代谢组)--的复杂性。其中,蛋白质组学全面描述了蛋白质表达(或体液中蛋白质丰度)随生理或病理过程而发生的定量和定性变化,而代谢组学则通过量化生物样本中的代谢物丰度来描绘生理状态的功能。在此,我们总结了如何利用不同的蛋白质组学和代谢分析技术来确定嗜铬细胞瘤/肝癌(PPGL)的关键生化特征。我们还将强调 omics 在了解 PPGL 生物学特征方面的重要意义,这些特征可能有助于改善诊断和治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Metabolomics and proteomics in pheochromocytoma and paraganglioma: Translating biochemistry and biology to bedside.

The complexity of omes - the key cellular ensembles (genome and epigenome, transcriptome, proteome, and metabolome) - is becoming increasingly understood in terms of big-data analysis, the omics. Amongst these, proteomics provides a global description of quantitative and qualitative alterations of protein expression (or protein abundance in body fluids) in response to physiologic or pathologic processes while metabolomics offers a functional portrait of the physiological state by quantifying metabolite abundances in biological samples. Here, we summarize how different techniques of proteomic and metabolic analysis can be used to define key biochemical characteristics of pheochromocytomas/paragangliomas (PPGL). The significance of omics in understanding features of PPGL biology that might translate to improved diagnosis and treatment will be highlighted.

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