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RAS-RAF-MEK-ERK通路疾病突变的综合定量分析及其对个体化治疗的意义

Integrative and quantitative analysis of disease mutations in the RAS-RAF-MEK-ERK pathway and implications for personalized medicine
课程网址: http://videolectures.net/ESHGsymposium2016_serrano_disease_mutati...  
主讲教师: Luis Serrano
开课单位: 基因组调控中心
开课时间: 2016-07-18
课程语种: 英语
中文简介:
Ras/MAPK综合征(“Ras病”)是一类发育障碍,由编码Ras/MAPK途径蛋白的15个基因的种系突变引起。有趣的是,在不同类型的人类癌症中,同样15个基因的突变也经常被发现。在这次演讲中,我将结合蛋白质网络数据和基于3D结构的突变分析,阐明956种Raspathy和癌症错义突变[1]。利用蛋白质设计算法FoldX和数学网络建模,我们表明,与癌症突变相比,定量而非定性网络差异决定了Raspathy的表型结果。此外,我们的定量预测可以解释为什么某些癌症突变(“驱动因素”)的发生率明显高于——可能是——功能替代突变。例如,BRAF疏水激活片段(AS)口袋中的V600E占所有激酶突变的95%以上。我们使用实验和硅结构能量统计分析来解释为什么V600E突变占优势,但在这个位置上没有其他突变,或者BRAF疏水囊中的任何其他位置。我们发现癌基因突变频率取决于疏水囊的不稳定性、整体折叠能量、激酶的激活和改变相应氨基酸所需的碱基数量之间的平衡[2]。使用一个随机森林分类器,我们定量分析了癌症频率对BRAF的影响。这些发现可以应用于全基因组关联研究和预测模型。
课程简介: The Ras/MAPK syndromes ('RASopathies') are a class of developmental disorders caused by germline mutations in 15 genes encoding proteins of the Ras/mitogen-activated protein kinase (MAPK) pathway. It is intriguing that mutations in the same 15 genes are also frequently identified in different types of human cancers. In this talk, I will shed light on 956 RASopathy and cancer missense mutations by combining protein network data with mutational analyses based on 3D structures [1]. Using the protein design algorithm FoldX and mathematical network modelling, we show that quantitative rather than qualitative network differences determine the phenotypic outcome of RASopathy compared to cancer mutations. Furthermore, our quantitative predictions can explain why some cancer mutations (‘drivers’) occur at significantly higher rates than - presumably - functionally alternative mutations. For example, V600E in the BRAF hydrophobic activation segment (AS) pocket accounts for >95% of all kinase mutations. We used experimental and in silico structure-energy statistical analyses, to elucidate why the V600E mutation, but no other mutation at this, or any other positions in BRAF's hydrophobic pocket, is predominant. We find that oncogene mutations frequencies depend on the equilibrium between the destabilization of the hydrophobic pocket, the overall folding energy, the activation of the kinase and the number of bases required to change the corresponding amino acid [2]. Using a random forest classifier, we quantitatively dissected the parameters contributing to BRAF AS cancer frequencies. These findings can be applied to genome-wide association studies and prediction models.  
关 键 词: Ras/MAPK综合征; 突变分析; 数学网络建模
课程来源: 视频讲座网
数据采集: 2021-12-24:zkj
最后编审: 2021-12-24:zkj
阅读次数: 90