dc.contributor.author | Pettersen, Veronika K. | |
dc.contributor.author | Antunes, Luis Caetano Martha | |
dc.contributor.author | Dufour, A | |
dc.contributor.author | Arrieta, Marie-Claire | |
dc.date.accessioned | 2022-02-17T12:52:15Z | |
dc.date.available | 2022-02-17T12:52:15Z | |
dc.date.issued | 2021-12-20 | |
dc.description.abstract | Humans have a long-standing coexistence with microorganisms. In particular, the microbial community
that populates the human gastrointestinal tract has emerged as a critical player in governing human
health and disease. DNA and RNA sequencing techniques that map taxonomical composition and genomic potential of the gut community have become invaluable for microbiome research. However, deriving
a biochemical understanding of how activities of the gut microbiome shape host development and physiology requires an expanded experimental design that goes beyond these approaches.
In this review, we explore advances in high-throughput techniques based on liquid chromatography–
mass spectrometry. These omics methods for the identification of proteins and metabolites have enabled
direct characterisation of gut microbiome functions and the crosstalk with the host. We discuss current
metaproteomics and metabolomics workflows for producing functional profiles, the existing methodological challenges and limitations, and recent studies utilising these techniques with a special focus
on early life gut microbiome. | en_US |
dc.identifier.citation | Pettersen V, Antunes, Dufour A, Arrieta M. Inferring early-life host and microbiome functions by mass spectrometry-based metaproteomics and metabolomics. Computational and Structural Biotechnology Journal. 2021 | en_US |
dc.identifier.cristinID | FRIDAID 1972061 | |
dc.identifier.doi | https://doi.org/10.1016/j.csbj.2021.12.012 | |
dc.identifier.issn | 2001-0370 | |
dc.identifier.uri | https://hdl.handle.net/10037/24081 | |
dc.language.iso | eng | en_US |
dc.publisher | Elsevier | en_US |
dc.relation.journal | Computational and Structural Biotechnology Journal | |
dc.rights.accessRights | openAccess | en_US |
dc.rights.holder | Copyright 2021 The Author(s) | en_US |
dc.title | Inferring early-life host and microbiome functions by mass spectrometry-based metaproteomics and metabolomics | en_US |
dc.type.version | publishedVersion | en_US |
dc.type | Journal article | en_US |
dc.type | Tidsskriftartikkel | en_US |
dc.type | Peer reviewed | en_US |