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Deciphering the complexity of the cancer proteome for diagnostic applications

机译:解读用于诊断应用的癌症蛋白质组的复杂性

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The proteome is the most functional component encoded in the genome, yet most features of the proteome that are deregulated in cancer cannot be predicted from genomic analysis alone. These include post-translational modifications (PTMs), sub-cellular localization, networks and circuitry, formation of complexes, and functional activity, all of which could play a role or be affected as part of tumorigenesis. Thus, there is a substantial opportunity to elucidate protein alterations in cancer and to translate knowledge into diagnostics and therapeutics. The progress made in mining the cancer proteome for diagnostic applications and the path forward are herein reviewed.
机译:蛋白质组是基因组中编码的功能最强的组件,但是不能仅通过基因组分析就可以预测蛋白质组的大多数在癌症中失控的特征。这些包括翻译后修饰(PTM),亚细胞定位,网络和电路系统,复合物的形成以及功能活性,所有这些都可能在肿瘤发生中发挥作用或受到影响。因此,存在大量的机会来阐明癌症中的蛋白质改变并将知识转化为诊断和治疗方法。本文回顾了挖掘用于诊断应用的癌症蛋白质组的进展和前进的道路。

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