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PXD021932

PXD021932 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleA Metaproteomic Workflow for Sample Preparation and Data Analysis Applied to Mouse Faeces: 4
DescriptionA Metaproteomic Workflow for Sample Preparation and Data Analysis Applied to Mouse Faeces: 1 MTD project_description Many diseases have been associated with gut microbiome abnormalities. The root cause of such diseases is not only due to bacterial dysbiosis, but also to change in bacterial functions, which are best studied by proteomic approaches. Although bacterial proteomics is well established, metaproteomics is hindered by challenges associated with the sample physical structure, contaminating proteins, the simultaneous analysis of hundreds of species and the subsequent data analysis. Here, we present a systematic assessment of sample preparation and data analysis methodologies applied to LC-MS/MS metaproteomics experiment. We could show that low speed centrifugation (LSC) has a significant impact on both peptide identifications and reproducibility. LSC led to increase in peptide and proteins identifications compare to no LSC. Notably, the dominant bacterial phyla, i.e. Firmicutes and Bacteroidetes, showed divergent representation between LSC and no-LSC. In terms of data processing, protein sequence databases derived from mouse faeces metagenome provided at least four times more MS/MS identification compared to databases of concatenated single organisms. We also demonstrated that two-steps database search strategy comes at the expense of a dramatic rise in number of false positives compared to single-step strategy. Overall, we found a positive correlation between matching metaproteome and metagenome abundance, which could be linked to core microbial functions, such as glycolysis-gluconeogenesis, citrate cycle and carbon metabolism. We observed significant overlap and correlation at the phylum, class, order and family taxonomic levels between taxonomy-derived from metagenome and metaproteome. Notably, nearly all functional categories (e.g., membrane transport, translation, transcription) were differentially abundant in the metaproteome (activity) compared to what would be expected from the metagenome (potential). In conclusion, these results highlight the need to perform metaproteomics when studying complex microbiome samples.
HostingRepositoryPRIDE
AnnounceDate2022-02-16
AnnouncementXMLSubmission_2022-02-16_08:42:35.768.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterNicolas Nalpas
SpeciesList scientific name: mouse gut metagenome; NCBI TaxID: 410661;
ModificationListNo PTMs are included in the dataset
InstrumentQ Exactive HF; LTQ Orbitrap Elite
Dataset History
RevisionDatetimeStatusChangeLog Entry
02020-10-13 00:30:18ID requested
12022-02-16 08:42:36announced
Publication List
Nalpas N, Hoyles L, Anselm V, Ganief T, Martinez-Gili L, Grau C, Droste-Borel I, Davidovic L, Altafaj X, Dumas ME, Macek B, An integrated workflow for enhanced taxonomic and functional coverage of the mouse fecal metaproteome. Gut Microbes, 13(1):1994836(2021) [pubmed]
Keyword List
submitter keyword: Metaproteomics, Mus musculus, Metagenome, Taxonomy
Contact List
Prof. Dr. Boris Maček
contact affiliationQuantitative Proteomics Proteome Center Tübingen Universität Tübingen Auf der Morgenstelle 15 72076 Tübingen
contact emailboris.macek@uni-tuebingen.de
lab head
Nicolas Nalpas
contact affiliationTuebingen University
contact emailnalpas.nicolas@gmail.com
dataset submitter
Full Dataset Link List
Dataset FTP location
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PRIDE project URI
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