Protocol for correlation analysis of the murine gut microbiome and meta-metabolome using 16S rDNA sequencing and UPLC-MS.
Protocol for correlation analysis of the murine gut microbiome and meta-metabolome using 16S rDNA sequencing and UPLC-MS.
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使用 16S rDNA 测序和 UPLC-MS 进行小鼠肠道微生物组和元代谢组相关性分析的方案
DOI：
10.1016/j.xpro.2022.101494
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发表时间：
2022-09-16
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肠道微生物群和代谢物在各种疾病的病理学中发挥着关键作用。在这里，我们描述了一种方案，用于分析急性移植物抗宿主病小鼠疾病模型的肠道微生物组和元代谢组。我们描述了用于 16S 测序和 UPLC-MS 的粪便样本收集和处理的步骤。最后，我们详细介绍了数据分析的步骤，并展示了与病理学相关的多组学关联。有关该协议的使用和执行的完整详细信息，请参阅。粪便 16S rDNA 基因测序和 LC-MS 解码疾病期间的肠道微环境 微生物组和代谢组之间的筛查和相关性分析 多组学数据的联合分析以及与病理学的相关性 出版商注：进行任何实验方案都需要遵守当地实验室安全和道德机构指南。肠道微生物群和代谢物在各种疾病的病理学中发挥着关键作用。在这里，我们描述了一种方案，用于分析急性移植物抗宿主病小鼠疾病模型的肠道微生物组和元代谢组。我们描述了用于 16S 测序和 UPLC-MS 的粪便样本收集和处理的步骤。最后，我们详细介绍了数据分析的步骤，并展示了与病理学相关的多组学关联。
The gut microbiota and metabolites play pivotal roles in the pathobiology of various diseases. Here, we describe a protocol to profile the gut microbiome and meta-metabolome of a mouse disease model for acute graft-versus-host disease. We describe steps for fecal sample collection and processing for 16S sequencing and UPLC-MS. Finally, we detail the steps for data analysis and exhibit multi-omic associations to correlate with pathology. For complete details on the use and execution of this protocol, please refer to. Fecal 16S rDNA gene sequencing and LC-MS decodes gut microenvironment during disease Screening and correlation analysis between microbiome and metabolome Joint analysis of multi-omics data and correlation with pathology Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics. The gut microbiota and metabolites play pivotal roles in the pathobiology of various diseases. Here, we describe a protocol to profile the gut microbiome and meta-metabolome of a mouse disease model for acute graft-versus-host disease. We describe steps for fecal sample collection and processing for 16S sequencing and UPLC-MS. Finally, we detail the steps for data analysis and exhibit multi-omic associations to correlate with pathology.