将代谢重编程转化为治疗肾癌的新靶点。

Omran Abu Aboud, Robert H Weiss
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摘要

在生物信息学时代,随着过去十多年来高能计算的出现,生物医学研究的面貌发生了根本性的变化。一代人以前,研究人员会研究他们 "最喜欢 "的蛋白质或基因,并详尽地记录这种化合物在他们感兴趣的疾病中的作用,而现在,omics 的出现改变了医学的面貌,许多前沿(和可资助的!)医学研究现在几乎都在评估疾病的生物学特性。再加上人们认识到肾癌是一种 "代谢性疾病",因为它的生化通路存在多种失常[1, 2],因此透明细胞肾细胞癌(ccRCC)成为了使用多种全局数据挖掘方法进行数据挖掘的最佳时机。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Translating Metabolic Reprogramming into New Targets for Kidney Cancer.

In the age of bioinformatics and with the advent of high-powered computation over the past decade or so the landscape of biomedical research has become radically altered. Whereas a generation ago, investigators would study their "favorite" protein or gene and exhaustively catalog the role of this compound in their disease of interest, the appearance of omics has changed the face of medicine such that much of the cutting edge (and fundable!) medical research now evaluates the biology of the disease nearly in its entirety. Couple this with the realization that kidney cancer is a "metabolic disease" due to its multiple derangements in biochemical pathways [1, 2], and clear cell renal cell carcinoma (ccRCC) becomes ripe for data mining using multiple omics approaches.

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