代谢组研究的生物信息学方法  

Bioinformatics Methods for Metabolome Research

作　　者：李连伟[1,2] 张阿梅[1] 马占山[2] LI Lian-wei ZHANG A-mei MA Zhan-shan(Faculty of Life Science and Technology, Kunming University of Science and Technology, Yunnan 650500, China Computational Biology and Medical Ecology Lab, State Key of Genetic Resource and Evolution, Kunming Institute of Zoology, Chinese Academy of Science, Yunnan 650223, China)

机构地区：[1]昆明理工大学生命科学与技术学院,昆明650500 [2]中国科学院昆明动物研究所计算生物与医学生态学实验室,昆明650223

出　　处：《中国生物工程杂志》2017年第1期89-96,共8页China Biotechnology

摘　　要：代谢组是细胞新陈代谢过程中小分子代谢物的集合。新陈代谢为细胞提供生理活动必需的物质和能量。代谢组直接反映细胞的新陈代谢过程,对代谢组的研究体现细胞的功能。细胞功能的异常会导致代谢组的异常,因此通过代谢组数据即可分析出细胞的健康状况。对代谢组物质的提取鉴定过程和代谢组数据的分析方法,主要是对代谢组数据整理和代谢网络推断过程进行综述。The metabolome refers to a set of small molecular metabolites. The main purposes of metabolism are the conversion of fuel to energy to run cellular processes. The metabolome can reflect the process of metabolism,As a result,a cell＇s metabolome can serve as an excellent probe of its function. Cell function abnormality leads to the abnormal changes of metabolom,so metabolome can be assessment standards of the function of cell. The process of extraction and identification of metabolites and the analysis of metabolic data were briefly reviewed,including the pre-processing and network constructed of metabolome datasets.

关 键 词：代谢组 KEGG 网络 

分 类 号：Q493.1[生物学—生理学]