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深度测序和系统生物学:对癌症患者的个性化治疗的方法步骤

Deep sequencing and systems biology: steps on the way to an individualised treatment of cancer patients
课程网址: http://videolectures.net/mlsb2010_lehrach_dss/  
主讲教师: Hans Lehrach
开课单位: 马克斯普朗克研究所
开课时间: 2010-11-08
课程语种: 英语
中文简介:
生物过程由分子和细胞成分之间复杂的相互作用网络驱动。预测潜在干扰的结果对于预防疾病以及识别现有疾病的可能疗法至关重要。为了预测这种复杂网络的行为,我们必须根据遗传和分子方法产生的路径信息,通过应用基因组学和ACIRC、规模分析技术,建立相关过程的一般模型。.g.通过下一代测序技术基因组学进行基因组和/或转录组分析,并通过计算(系统生物学)探索这些模型的行为。我们正在结合肿瘤和患者的基因组和转录组的高通量测序建立预测模型(虚拟患者),这最终将反映真实患者对肿瘤和其他医学领域的特定疗法的反应。
课程简介: Biological processes are driven by complex networks of interactions between molecular and cellular components. Predicting the outcome of potential disturbances is of prime importance to be able to prevent disease, as well as to identify possible therapies for diseases, which are already present. To predict the behaviour of such complex networks, we will have to develop general models of the processes involved, based on information on pathways derived from genetic and molecular approaches, to ‘individualise’ these by applying ‘genomics’ scale analysis techniques (e.g. genome and/or transcriptome analysis by next-gen sequencing techniques-genomics), and to explore the behaviour of these models computationally (systems biology). We are using a combination of high throughput sequencing of genome and transcriptome of both tumor and patient to establish predictive models (virtual patients), which ultimately will reflect the response of real patients to specific therapies in oncology and other areas of medicine.
关 键 词: 遗传学; 分子生物学; 系统生物学; 医学肿瘤学
课程来源: 视频讲座网
最后编审: 2020-06-01:wuyq
阅读次数: 47