Bowling Francis G, Thomas Mervyn
Biochemical Diseases, Mater Children's Hospital, Raymond Terrace, South Brisbane, QLD, 4101, Australia,
Methods Mol Biol. 2014;1168:31-45. doi: 10.1007/978-1-4939-0847-9_3.
Metabolites, the chemical entities that are transformed during metabolism, provide a functional readout of cellular biochemistry that offers the best prediction of the phenotype and the nature of a disease. Mass spectrometry now allows thousands of metabolites to be quantitated. The targeted or untargeted data from metabolic profiling can be combined with either supervised or unsupervised approaches to improve interpretation. These sophisticated statistical techniques are computationally intensive. This chapter reviews techniques applicable to metabolomics approaches to disease.
代谢物是在新陈代谢过程中发生转化的化学实体,它们提供了细胞生物化学的功能读数,能对疾病的表型和性质做出最佳预测。质谱分析现在能够对数千种代谢物进行定量。代谢谱分析中的靶向或非靶向数据可以与监督或非监督方法相结合,以改进解读。这些复杂的统计技术计算量很大。本章综述了适用于疾病代谢组学方法的技术。