代谢组
代谢组学
生物
微生物群
计算生物学
透视图(图形)
肠道微生物群
寄主(生物学)
数据科学
生物信息学
遗传学
计算机科学
人工智能
作者
Santosh Lamichhane,Partho Sen,Alex M. Dickens,Matej Orešič,Hanne Christine Bertram
出处
期刊:Methods
[Elsevier]
日期:2018-10-01
卷期号:149: 3-12
被引量:136
标识
DOI:10.1016/j.ymeth.2018.04.029
摘要
It is well established that gut microbes and their metabolic products regulate host metabolism. The interactions between the host and its gut microbiota are highly dynamic and complex. In this review we present and discuss the metabolomic strategies to study the gut microbial ecosystem. We highlight the metabolic profiling approaches to study faecal samples aimed at deciphering the metabolic product derived from gut microbiota. We also discuss how metabolomics data can be integrated with metagenomics data derived from gut microbiota and how such approaches may lead to better understanding of the microbial functions. Finally, the emerging approaches of genome-scale metabolic modelling to study microbial co-metabolism and host–microbe interactions are highlighted.
科研通智能强力驱动
Strongly Powered by AbleSci AI