Reference : Integrated multi-omics of the human gut microbiome in a case study of familial type 1...
Scientific journals : Article
Life sciences : Microbiology
Systems Biomedicine
http://hdl.handle.net/10993/28958
Integrated multi-omics of the human gut microbiome in a case study of familial type 1 diabetes.
English
Heintz-Buschart, Anna mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) >]
May, Patrick mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) >]
Laczny, Cedric C. [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)]
Lebrun, Laura mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) >]
Bellora, Camille [IBBL]
Krishna, Abhimanyu [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)]
Wampach, Linda mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) >]
Schneider, Jochen mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) >]
Hogan, Angela [IBBL]
de Beaufort, Carine mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) >]
Wilmes, Paul mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) >]
2016
Nature microbiology
2
16180
Yes
International
2058-5276
2058-5276
England
[en] The gastrointestinal microbiome is a complex ecosystem with functions that shape human health. Studying the relationship between taxonomic alterations and functional repercussions linked to disease remains challenging. Here, we present an integrative approach to resolve the taxonomic and functional attributes of gastrointestinal microbiota at the metagenomic, metatranscriptomic and metaproteomic levels. We apply our methods to samples from four families with multiple cases of type 1 diabetes mellitus (T1DM). Analysis of intra- and inter-individual variation demonstrates that family membership has a pronounced effect on the structural and functional composition of the gastrointestinal microbiome. In the context of T1DM, consistent taxonomic differences were absent across families, but certain human exocrine pancreatic proteins were found at lower levels. The associated microbial functional signatures were linked to metabolic traits in distinct taxa. The methodologies and results provide a foundation for future large-scale integrated multi-omic analyses of the gastrointestinal microbiome in the context of host-microbe interactions in human health and disease.
Luxembourg Centre for Systems Biomedicine (LCSB): Eco-Systems Biology (Wilmes Group) ; Luxembourg Centre for Systems Biomedicine (LCSB): Bioinformatics Core (R. Schneider Group) ; Luxembourg Centre for Systems Biomedicine (LCSB): Medical Translational Research (J. Schneider Group)
Fonds National de la Recherche - FnR
Researchers ; Professionals ; Students
http://hdl.handle.net/10993/28958
10.1038/NMICROBIOL.2016.180
FnR ; FNR4771725 > Paul Wilmes > BIOMARKAD > Biomarkers for Alzheimer’s disease and Parkinson’s disease > 01/11/2012 > 31/10/2015 > 2012

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