代谢组学
代谢物分析
仿形(计算机编程)
计算生物学
代谢物
有机体
组学
基因组学
生物
代谢组
转录组
人类疾病
生物信息学
计算机科学
遗传学
基因组
基因
生物化学
操作系统
基因表达
作者
Oxana P. Trifonova,Petr G. Lokhov,Alexander I. Archakov
标识
DOI:10.1089/omi.2012.0121
摘要
We live in exciting times with the prospects of postgenomics diagnostics. Metabolomics is a novel "omics" data-intensive science that is accelerating the development of postgenomics diagnostics, particularly with use of accessible peripheral tissue compartments. Metabolomics involves the study of a comprehensive set of low molecular weight substances (metabolites) present in biological systems. The metabolite profiles represent the molecular phenotype of biological systems and reflect the information encoded at the genomic level and implemented at the transcriptomic and proteomic levels. Analysis of the human blood metabolite profile is a universal and highly promising tool for clinical postgenomics applications because it reflects both the endogenous and exogenous (environmental) factors influencing an individual organism. This article presents a critical synthesis and original analysis of both the technical implementation of metabolic profiling of blood and statistical analysis of metabolite profiles for effective disease diagnostics and risk assessment in the present postgenomics era.
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