微生物群
功能(生物学)
医学
疾病
肠道微生物群
数据科学
集合(抽象数据类型)
重症监护医学
肠道微生物群
生物信息学
计算生物学
风险分析(工程)
计算机科学
生物
病理
进化生物学
程序设计语言
作者
Marcus J. Claesson,Adam G. Clooney,Paul W. O’Toole
标识
DOI:10.1038/nrgastro.2017.97
摘要
Microbiome analysis involves determining the composition and function of a community of microorganisms in a particular location. For the gastroenterologist, this technology opens up a rapidly evolving set of challenges and opportunities for generating novel insights into the health of patients on the basis of microbiota characterizations from intestinal, hepatic or extraintestinal samples. Alterations in gut microbiota composition correlate with intestinal and extraintestinal disease and, although only a few mechanisms are known, the microbiota are still an attractive target for developing biomarkers for disease detection and management as well as potential therapeutic applications. In this Review, we summarize the major decision points confronting new entrants to the field or for those designing new projects in microbiome research. We provide recommendations based on current technology options and our experience of sequencing platform choices. We also offer perspectives on future applications of microbiome research, which we hope convey the promise of this technology for clinical applications.
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