PXD006033 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Metaproteomic analysis of the infant fecal microbiome |
Description | A metaproteomics analysis was conducted on the infant fecal microbiome to characterize global protein expression in 8 samples obtained from infants with a range of early-life experiences. Samples included breast-, formula- or mixed-fed, mode of delivery, and antibiotic treatment and one set of monozygotic twins. Although label-free mass spectrometry-based proteomics is routinely used for the identification and quantification of thousands of proteins in complex samples, the metaproteomic analysis of the gut microbiome presents particular technical challenges. Among them: the extreme complexity and dynamic range of member taxa/species, the need for matched, well-annotated metagenomics databases, and the high inter-protein sequence redundancy/similarity between related members. In this study, a metaproteomic approach was developed for assessment of the biological phenotype and functioning, as a complement to 16S rRNA sequencing analysis to identify constituent taxa. A sample preparation method was developed for recovery and lysis of bacterial cells, followed by trypsin digestion, and pre-fractionation using Strong Cation Exchange chromatography. Samples were then subjected to high performance LC-MS/MS. Data was searched against the Human Microbiome Project database, and a homology-based meta-clustering strategy was used to combine peptides from multiple species into representative proteins. Bacterial taxonomies were also identified, based on species-specific protein sequences, and protein metaclusters were assigned to pathways and functional groups. The results obtained demonstrate the applicability of this approach for performing qualitative comparisons of human fecal microbiome composition, physiology and metabolism, and also provided a more detailed assessment of microbial composition in comparison to 16S rRNA. |
HostingRepository | PRIDE |
AnnounceDate | 2019-03-29 |
AnnouncementXML | Submission_2019-03-29_11:56:32.xml |
DigitalObjectIdentifier | https://dx.doi.org/10.6019/PXD006033 |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Supported dataset by repository |
PrimarySubmitter | Daniel Chelsky |
SpeciesList | scientific name: other sequences; NCBI TaxID: 28384; |
ModificationList | Oxidation |
Instrument | Q Exactive |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2017-03-06 05:35:18 | ID requested | |
⏵ 1 | 2019-03-29 11:56:33 | announced | |
Publication List
Cortes L, Wopereis H, Tartiere A, Piquenot J, Gouw JW, Tims S, Knol J, Chelsky D, Metaproteomic and 16S rRNA Gene Sequencing Analysis of the Infant Fecal Microbiome. Int J Mol Sci, 20(6):(2019) [pubmed] |
Keyword List
curator keyword: Biological, Biomedical |
submitter keyword: Human, Fecal, Microbiome, Proteomics |
Contact List
Daniel Chelsky |
contact affiliation | Caprion Biosciences Inc. |
contact email | dchelsky@caprion.com |
lab head | |
Daniel Chelsky |
contact affiliation | Caprion Biosciences |
contact email | dchelsky@caprion.com |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2019/03/PXD006033 |
PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD006033
- Label: PRIDE project
- Name: Metaproteomic analysis of the infant fecal microbiome