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系统生物学实验技术与数据

Experimental Techniques and Data for Systems Biology
课程网址: http://videolectures.net/solomon_gruden_etdsb/  
主讲教师: Kristina Gruden
开课单位: 国立生物学研究所
开课时间: 2010-02-16
课程语种: 英语
中文简介:
生物学面临的一个主要挑战是解开能够实现复杂生命过程的蜂窝网络的组织和相互作用。潜在的复杂性来自于大量细胞成分 (如基因、蛋白质和代谢物) 之间的动态相互作用。经典的生物化学和分子生物学方法已经成功地确定了大多数的成分和一些相互作用, 但使用这种还原论方法是不可能理解系统特性是如何产生的。为了了解细胞的功能, 一方面需要关于组件和相互作用的全面和定量数据, 另一方面需要严格的数据集成和建模。本次研讨会的目的是解释在基因表达、蛋白质组成和代谢物分布水平上研究细胞过程的实验技术的原理, 以及不同成分之间相互作用的研究。讨论了不同技术获得的数据的结构和可靠性。
课程简介: A major challenge in biology is to unravel the organisation and interactions of cellular networks that enable complex life processes. The underlying complexity arises from dynamic interactions among large numbers of cellular constituents, such as genes, proteins and metabolites. The classical biochemistry and molecular biology approach has successfully identified most of the components and some interactions, but using such reductionist approach it is not possible to comprehend how system properties emerge. To understand how cells function, comprehensive and quantitative data on components and interactions are required on one hand, coupled with rigorous data integration and modelling on the other. The aim of this seminar is to explain the principles of experimental techniques for study of cell processes at the level of gene expression, protein composition and metabolite profile, in addition to studies of interactions between different components. The structure of data as well as reliability of the data obtained by different techiques will be discussed.
关 键 词: 计算机科学; 生物信息学; DNA微阵列
课程来源: 视频讲座网
最后编审: 2020-06-18:liush
阅读次数: 46