Nature Reviews:基于质谱的代谢组学在微生物组研究中的应用(综述)
  • 用于解释微生物组数据的代谢组分析流程包括数据采集、数据预处理、结构鉴定、建立数据联系和数据可视化;
  • 搜索质谱库是微生物代谢物注释的基本方法,计算机工具可改进代谢物注释、分析子结构;
  • 通过多元分析发现数据的趋势,采用相关分析等方法将代谢物和微生物联系起来,随后进行基于代谢途径的分析,可以建立微生物组与代谢物的关系;
  • 自身免疫病、癌症、代谢性疾病等与人体菌群失调有关,受到微生物代谢物调节。
基于质谱的代谢组学,是菌群研究的关键技术之一,可检测和识别菌群产生的小分子,并了解这些菌群代谢物的功能作用。Nature Reviews Microbiology这篇综述回顾了非靶向质谱的常见形式,以及在微生物组分析中可以获得的数据类型及数据分析方法。干货很多,值得参考、学习。

Mass spectrometry-based metabolomics in microbiome investigations



2021-09-22, Review

Abstract & Authors:展开

Microbiotas are a malleable part of ecosystems, including the human ecosystem. Microorganisms affect not only the chemistry of their specific niche, such as the human gut, but also the chemistry of distant environments, such as other parts of the body. Mass spectrometry-based metabolomics is one of the key technologies to detect and identify the small molecules produced by the human microbiota, and to understand the functional role of these microbial metabolites. This Review provides a foundational introduction to common forms of untargeted mass spectrometry and the types of data that can be obtained in the context of microbiome analysis. Data analysis remains an obstacle; therefore, the emphasis is placed on data analysis approaches and integrative analysis, including the integration of microbiome sequencing data.

First Authors:
Anelize Bauermeister

Correspondence Authors:
Alan K Jarmusch,Pieter C Dorrestein

All Authors:
Anelize Bauermeister,Helena Mannochio- Russo,Letícia V Costa- Lotufo,Alan K Jarmusch,Pieter C Dorrestein