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演讲摘要：Genes and gene products interact with each other to form gene regulatory networks in the cell. The gene regulatory networks are under intricate regulation in physiological conditions, but could go awry upon genome instability caused by genetic mutations in complex diseases. Here, we proposed several computation methods to reveal the function of cancer mutations in the context of regulatory network perturbations. First, we proposed MERIT (Mutational Effect on RNA Interactome Topology) and a web-based, user-friendly resource to analyze the RNA binding protein (RBP)-gene regulatory networks across cancer types. Pan-cancer analysis also suggests that cancer cells selectively target "vulnerability" genes to perturb protein-RNA interactome that is involved in cancer hallmark-related functions. Moreover, a computational method (e-MutPath) was proposed to prioritize candidate driver mutations in cancer. e-MutPath identifies informative paths that could be used to distinguish disease risk factors from neutral elements and to stratify disease subtypes with clinical relevance. The predicted targets are enriched in cancer vulnerability genes, known drug targets but depleted for proteins associated with side effects, demonstrating the power of network-based strategies to investigate the functional impact and perturbation profiles of genomic mutations. Together, our computational methods are useful tools to systematically assign functions to genetic mutations, especially in the context of their specific pathway perturbation effect.
讲者简介：教授，海南医学院 生物医学信息与工程学院，博士生导师，海南省双百人才团队后备带头人，海南省拔尖人才，第十四届省青年科技奖获得者，Harold C. and Mary L. Daily Endowment Fund和Ben F. Love Fellowship in Innovative Cancer Therapies获得者。主要学术任职：中国抗癌协会肿瘤标志专业委员会委员；美国基因与癌症治疗协会会员；黑龙江省人工智能学会理事。研究成果发表于《Nature Reviews Genetics》、《Cancer Cell》、《Trends in Biochemical Sciences》、《Hepatology》、《Nature Communications》、《Nucleic Acids Research》、《Molecular Cancer》等国际著名生命科学杂志，发表SCI论文50余篇。兼任Computational Biology and Bioinformatics、Frontiers in Genetics杂志编委等。
第五届中国计算机学会生物信息学会议
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