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PDZ Domains and Viral Infection: Versatile Potentials of HPV-PDZ Interactions in relation to Malignancy

机译:PDZ域和病毒感染:HPV-PDZ相互作用与恶性肿瘤的多功能潜力。

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摘要

Cervical cancer is caused by high-risk human papillomaviruses (HPVs), and a unique characteristic of these is a PDZ (P¯SD-95/D¯lg/Z¯O-1-)binding motif in their E6 proteins. Through this motif HPV E6 interacts with a variety of PDZ domain-containing proteins and targets them mainly for degradation. These E6-PDZ interactions exhibit extraordinarily different functions in relation to HPV-induced malignancy, depending upon various cellular contexts; for example, Dlg and Scrib show different distribution patterns from what is seen in normal epithelium, both in localization and in amount, and their loss may be a late-stage marker in malignant progression. Recent studies show that interactions with specific forms of the proteins may have oncogenic potential. In addition, it is interesting that PDZ proteins make a contribution to the stabilization of E6 and viral episomal maintenance during the course of HPV life cycle. Various posttranslational modifications also greatly affect their functions. Phosphorylation of hDlg and hScrib by certain kinases regulates several important signaling cascades, and E6-PDZ interactions themselves are regulated through PKA-dependent phosphorylation. Thus these interactions naturally have great potential for both predictive and therapeutic applications, and, with development of screening tools for identifying novel targets of their interactions, comprehensive spatiotemporal analysis is currently underway.
机译:宫颈癌是由高危人类乳头瘤病毒(HPV)引起的,其独特的特征是PDZ( P ¯ SD -95 / <数学xmlns:mml =“ http://www.w3.org/1998/Math/MathML” id =“ M2” overflow =“ scroll”> D lg / Z O-1-)结合基序。 HPV E6通过该基序与多种包含PDZ域的蛋白质相互作用,并将它们主要靶向降解。这些E6-PDZ相互作用根据HPV诱导的恶性表现出非常不同的功能,具体取决于各种细胞环境。例如,Dlg和Scrib在定位和数量上都显示出与正常上皮不同的分布模式,它们的丢失可能是恶性进展的后期标志。最近的研究表明,与特定形式蛋白质的相互作用可能具有致癌作用。另外,有趣的是,PDZ蛋白在HPV生命周期过程中对E6的稳定化和病毒附加型维持做出了贡献。各种翻译后修饰也极大地影响了它们的功能。 hDlg和hScrib通过某些激酶的磷酸化调节了几个重要的信号传导级联,并且E6-PDZ相互作用本身通过PKA依赖性磷酸化来调节。因此,这些相互作用自然具有预测和治疗应用的巨大潜力,并且随着用于识别相互作用新靶标的筛选工具的发展,目前正在进行全面的时空分析。

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