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首页> 外文期刊>Cancer research: The official organ of the American Association for Cancer Research, Inc >An Atlas of the Human Kinome Reveals the Mutational Landscape Underlying Dysregulated Phosphorylation Cascades in Cancer
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An Atlas of the Human Kinome Reveals the Mutational Landscape Underlying Dysregulated Phosphorylation Cascades in Cancer

机译:人类动力学组图谱揭示了癌症中磷酸化级联失调的突变景观。

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摘要

Kinase inhibitors are used widely to treat various cancers, but adaptive reprogramming of kinase cascades and activation of feedback loop mechanisms often contribute to therapeutic resistance. Determining comprehensive, accurate maps of kinase circuits may therefore help elucidate mechanisms of response and resistance to kinase inhibitor therapies. In this study, we identified and validated phosphorylatable target sites across human cell and tissue types to generate Phospho-Atlas, a map of 1,733 functionally interconnected proteins comprising the human phospho-reactome. A systematic curation approach was used to distill protein phosphorylation data cross-referenced from 38 public resources. We demonstrated how a catalog of 2,617 stringently verified heptameric peptide regions at the catalytic interface of kinases and substrates could expose mutations that recurrently perturb specific phosphohubs. In silico mapping of 2,896 nonsynonymous tumor variants identified from thousands of tumor tissues also revealed that normal and aberrant catalytic interactions co-occur frequently, showing how tumors systematically hijack, as well as spare, particular subnetworks. Overall, our work provides an important new resource for interrogating the human tumor kinome to strategically identify therapeutically actionable kinase networks that drive tumorigenesis.
机译:激酶抑制剂被广泛用于治疗各种癌症,但是激酶级联反应的自适应重编程和反馈环机制的激活通常有助于治疗耐药性。因此,确定激酶回路的全面,准确的图谱可能有助于阐明激酶抑制剂疗法的应答机制和耐药性机制。在这项研究中,我们鉴定并验证了人类细胞和组织类型中可磷酸化的靶位点,以产生磷酸化图谱,这是包含人类磷酸化反应组的1,733个功能互连蛋白的图谱。使用系统的策展方法来提取从38种公共资源中交叉引用的蛋白质磷酸化数据。我们证明了在激酶和底物的催化界面上经过严格验证的2,617个七聚体肽区域的目录编目如何能够暴露出经常扰乱特定磷酸环的突变。从成千上万的肿瘤组织中鉴定出的2,896个非同义肿瘤变体的计算机绘图中,还发现正常和异常的催化相互作用经常同时发生,这表明肿瘤如何系统地劫持以及备用的特定子网络。总体而言,我们的工作为询问人类肿瘤的基因组提供了重要的新资源,以战略性地确定驱动肿瘤发生的可治疗作用的激酶网络。

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