3 research outputs found
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The HPV16 E6 Oncoprotein Causes Prolonged Receptor Protein Tyrosine Kinase Signaling and Enhances Internalization of Phosphorylated Receptor Species
The high-risk human papillomavirus (HPV) E6 proteins are consistently expressed in HPV-associated lesions and cancers. HPV16 E6 sustains the activity of the mTORC1 and mTORC2 signaling cascades under conditions of growth factor deprivation. Here we report that HPV16 E6 activated mTORC1 by enhanced signaling through receptor protein tyrosine kinases, including epidermal growth factor receptor and insulin receptor and insulin-like growth factor receptors. This is evidenced by sustained signaling through these receptors for several hours after growth factor withdrawal. HPV16 E6 increased the internalization of activated receptor species, and the signaling adaptor protein GRB2 was shown to be critical for HPV16 E6 mediated enhanced EGFR internalization and mTORC1 activation. As a consequence of receptor protein kinase mediated mTORC1 activation, HPV16 E6 expression increased cellular migration of primary human epithelial cells. This study identifies a previously unappreciated mechanism by which HPV E6 proteins perturb host-signaling pathways presumably to sustain protein synthesis during the viral life cycle that may also contribute to cellular transforming activities of high-risk HPV E6 proteins
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Regulation of Growth Factor and Nutrient Sensing Pathways by Human Papillomavirus E6 Proteins
High-risk human papillomaviruses (HPVs) are associated with nearly all cases of cervical cancer and also contribute to other types of anogenital and oropharyngeal cancers. The high-risk HPV E6 oncoprotein contributes to malignant progression in part by the targeted degradation of the tumor suppressor p53. The activation of growth factor and nutrient sensing pathways including receptor protein tyrosine kinases (RPTKs) and mTORC1 may also support cellular transformation. Moreover, previous studies suggested that HPV16 E6 activates mTORC1. We are particularly interested in understanding the mechanisms by which HPV E6 activates mTORC1 and the function of mTORC1 activation in HPV infection. Here we show that high-risk HPV16 E6 activates mTORC1 signaling and increases cap dependent translation through an increase in S6K signaling and an increase in 4E-BP1 phosphorylation. Mechanistically we found that HPV16 E6 activates AKT under conditions of nutrient deprivation. The combined approach of phospho-tyrosine immunoprecipitations and Western blot identified HPV16 E6 mediated activation of a subset of receptor protein tyrosine kinases. HPV16 E6 activates RPTKs at least in part by increasing the internalization of phosphorylated and activated receptor species. The signaling adaptor protein Grb2 associates with HPV16 E6, and Grb2 knockdown abrogated HPV16 E6 mediated mTORC1 activation. We hypothesize that Grb2 may be important in relaying E6 mediated RPTK activation to downstream signaling cascades. In this dissertation we also evaluate mTORC1 signaling and cap dependent translation in cells expressing HPV16 E6 mutants and E6 proteins from other HPV types. Binding to p53 and the association with proteins that contain an LXXLL motif are important for HPV16 E6 mediated mTORC1 activation. An increase in mTORC1 activation and cap dependent translation is shared between high-and low-risk mucosal, but not cutaneous HPV E6 proteins. Association with proteins through their LXXLL binding motif is also important for low-risk mucosal HPV E6 activation of mTORC1 and cap dependent translation. Shared mucosal E6 activation of mTORC1 indicates that mTORC1 may be important for the viral lifecycle in mucosal epithelia. However, it does not rule out the possibility that together with other properties of high-risk HPV E6 proteins, mTORC1 activation may promote transformation
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Interpreting Cancer Genomes Using Systematic Host Perturbations by Tumour Virus Proteins
Genotypic differences greatly influence susceptibility and resistance to disease. Understanding genotype-phenotype relationships requires that phenotypes be viewed as manifestations of network properties, rather than simply as the result of individual genomic variations. Genome sequencing efforts have identified numerous germline mutations associated with cancer predisposition and large numbers of somatic genomic alterations. However, it remains challenging to distinguish between background, or “passenger” and causal, or “driver” cancer mutations in these datasets. Human viruses intrinsically depend on their host cell during the course of infection and can elicit pathological phenotypes similar to those arising from mutations. To test the hypothesis that genomic variations and tumour viruses may cause cancer via related mechanisms, we systematically examined host interactome and transcriptome network perturbations caused by DNA tumour virus proteins. The resulting integrated viral perturbation data reflects rewiring of the host cell networks, and highlights pathways that go awry in cancer, such as Notch signalling and apoptosis. We show that systematic analyses of host targets of viral proteins can identify cancer genes with a success rate on par with their identification through functional genomics and large-scale cataloguing of tumour mutations. Together, these complementary approaches result in increased specificity for cancer gene identification. Combining systems-level studies of pathogen-encoded gene products with genomic approaches will facilitate prioritization of cancer-causing driver genes so as to advance understanding of the genetic basis of human cancer