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Protocol for isolation and analysis of small volatile microbiome metabolites from human or mouse samples
Metabolites are crucial for bidirectional communication between host and microbiome. We describe a protocol for the isolation of organic and aqueous metabolites from mucosal scrapes and feces from mouse and human samples. Although some of the most reactive organic compounds may be lost, this approac...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9038773/ https://www.ncbi.nlm.nih.gov/pubmed/35496788 http://dx.doi.org/10.1016/j.xpro.2022.101311 |
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author | Bell, Hannah N. Das, Nupur K. Shah, Yatrik M. |
author_facet | Bell, Hannah N. Das, Nupur K. Shah, Yatrik M. |
author_sort | Bell, Hannah N. |
collection | PubMed |
description | Metabolites are crucial for bidirectional communication between host and microbiome. We describe a protocol for the isolation of organic and aqueous metabolites from mucosal scrapes and feces from mouse and human samples. Although some of the most reactive organic compounds may be lost, this approach generates a functionally reproducible metabolic extract containing both host and microbial compounds appropriate for quantitative mass spectrometry and functional characterization. Our mass spectrometry approach identifies low-abundant and difficult to identify microbially derived metabolites. For complete details on the use and execution of this protocol, please refer to Bell et al. (2021) and Das et al. (2020). |
format | Online Article Text |
id | pubmed-9038773 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-90387732022-04-27 Protocol for isolation and analysis of small volatile microbiome metabolites from human or mouse samples Bell, Hannah N. Das, Nupur K. Shah, Yatrik M. STAR Protoc Protocol Metabolites are crucial for bidirectional communication between host and microbiome. We describe a protocol for the isolation of organic and aqueous metabolites from mucosal scrapes and feces from mouse and human samples. Although some of the most reactive organic compounds may be lost, this approach generates a functionally reproducible metabolic extract containing both host and microbial compounds appropriate for quantitative mass spectrometry and functional characterization. Our mass spectrometry approach identifies low-abundant and difficult to identify microbially derived metabolites. For complete details on the use and execution of this protocol, please refer to Bell et al. (2021) and Das et al. (2020). Elsevier 2022-04-13 /pmc/articles/PMC9038773/ /pubmed/35496788 http://dx.doi.org/10.1016/j.xpro.2022.101311 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Protocol Bell, Hannah N. Das, Nupur K. Shah, Yatrik M. Protocol for isolation and analysis of small volatile microbiome metabolites from human or mouse samples |
title | Protocol for isolation and analysis of small volatile microbiome metabolites from human or mouse samples |
title_full | Protocol for isolation and analysis of small volatile microbiome metabolites from human or mouse samples |
title_fullStr | Protocol for isolation and analysis of small volatile microbiome metabolites from human or mouse samples |
title_full_unstemmed | Protocol for isolation and analysis of small volatile microbiome metabolites from human or mouse samples |
title_short | Protocol for isolation and analysis of small volatile microbiome metabolites from human or mouse samples |
title_sort | protocol for isolation and analysis of small volatile microbiome metabolites from human or mouse samples |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9038773/ https://www.ncbi.nlm.nih.gov/pubmed/35496788 http://dx.doi.org/10.1016/j.xpro.2022.101311 |
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