Protocol for correlation analysis of the murine gut microbiome and meta-metabolome using 16S rDNA sequencing and UPLC-MS

doi:10.1016/j.xpro.2022.101494

STAR Protocols

Volume 3, Issue 3, 16 September 2022, 101494

https://doi.org/10.1016/j.xpro.2022.101494 Get rights and content

Under a Creative Commons license

open access

Highlights

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Fecal 16S rDNA gene sequencing and LC-MS decodes gut microenvironment during disease
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Screening and correlation analysis between microbiome and metabolome
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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.

Summary

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 Li et al. (2020).

Graphical abstract

Subject areas

Bioinformatics

Immunology

Metabolism

Metabolomics

Microbiology

Sequence analysis

Data and code availability

The published article (https://www.sciencedirect.com/science/article/pii/S2352396420304242) includes all datasets generated or analyzed during this study.

Cited by (0)

⁷: These authors contributed equally

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⁹: Lead contact