| Literature DB >> 30230220 |
Robert G Nichols1, Jingwei Cai1, Iain A Murray1, Imhoi Koo1, Philip B Smith2, Gary H Perdew1, Andrew D Patterson1.
Abstract
Characterizing the reciprocal interactions between toxicants, the gut microbiota, and the host, holds great promise for improving our mechanistic understanding of toxic endpoints. Advances in culture-independent sequencing analysis (e.g., 16S rRNA gene amplicon sequencing) combined with quantitative metabolite profiling (i.e., metabolomics) have provided new ways of studying the gut microbiome and have begun to illuminate how toxicants influence the structure and function of the gut microbiome. Developing a standardized protocol is important for establishing robust, reproducible, and importantly, comparative data. This protocol can be used as a foundation for examining the gut microbiome via sequencing-based analysis and metabolomics. Two main units follow: (1) analysis of the gut microbiome via sequencing-based approaches; and (2) functional analysis of the gut microbiome via metabolomics.Entities:
Keywords: bioinformatics; metabolomics; microbiome; toxicology
Mesh:
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Year: 2018 PMID: 30230220 PMCID: PMC6484866 DOI: 10.1002/cptx.54
Source DB: PubMed Journal: Curr Protoc Toxicol ISSN: 1934-9254