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Signaling network analysis of ubiquitin-mediated proteins suggests correlations between the 26S proteasome and tumor progression

机译:泛素介导的蛋白的信号网络分析表明26S蛋白酶体与肿瘤进展之间的相关性

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We performed a comprehensive analysis of a literature-mined human signaling network by integrating data on ubiquitin-mediated protein half-lives. We found that proteins with very long half-lives are connected to form a network backbone, while proteins with short and medium half-lives preferentially attach to the network backbone and scatter throughout the network. Furthermore, proteins with short and medium half-lives are mutually exclusive in network neighbors. Short half-life proteins are enriched in the upstream portion of the network, suggesting that ubiquitination might help initiate signal processing and specificity. We also discovered that ubiquitination preferentially occurs in positive regulatory loops. Furthermore, these loops predominately induce or positively regulate apoptosis, a major component in cancer signaling. These results lead us to discover that the highly expressed genes involved in the common machinery of ubiquitination, the 26S proteasome genes, are significantly correlated with tumor progression and metastasis. Furthermore, expression of the 26S proteasome gene set predicts the clinical outcome of breast cancer patients. Our findings have implications for the development of cancer treatments and prognostic markers focused on the ubiquitination machinery.
机译:我们通过整合有关泛素介导的蛋白半衰期的数据对文献挖掘的人类信号网络进行了全面分析。我们发现具有很长半衰期的蛋白质被连接起来以形成网络主干,而具有短和中等半衰期的蛋白质则优先附着在网络主干上并分散在整个网络中。此外,半衰期短和中等的蛋白质在网络邻居中是互斥的。短的半衰期蛋白富集在网络的上游部分,表明泛素化可能有助于启动信号处理和特异性。我们还发现泛素化优先发生在积极的监管环。此外,这些环主要诱导或正调节细胞凋亡,这是癌症信号中的主要成分。这些结果使我们发现,参与泛素化的常见机制的高表达基因26S蛋白酶体基因与肿瘤的进展和转移密切相关。此外,26S蛋白酶体基因组的表达预测了乳腺癌患者的临床结局。我们的发现对癌症治疗的发展和以泛素化机制为重点的预后指标具有重要意义。

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  • 来源
    《Molecular BioSystems》 |2009年第12期|1809-1816|共8页
  • 作者

    Cong Fu; Jie Li; Edwin Wang;

  • 作者单位

    College of Life Sciences, Beijing Normal University, Beijing, China Biotechnology Research Institute, National Research Council Canada, Montreal, Canada;

    Biotechnology Research Institute, National Research Council Canada, Montreal, Canada;

    Biotechnology Research Institute, National Research Council Canada, Montreal, Canada Center for Bioinformatics, McGill University, Montreal, Canada;

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