MassIVE MSV000101070

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Autologous Fecal Microbiota Transplantation Restores the Infant Gut Microbiota and Metabolome After Antibiotics: a case report

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Description

This is an untargeted metabolomics dataset of the human gut metabolome derived from infant stool samples. Data acquisition was done using C18 negative and positive mode, as well as HILIC positive mode. In this case study there are 2 individuals, Baby 1 and Baby 2. Sample 1152 is pre-antibiotic sample of Baby 1, Sample 1162 is post-antibiotic without autologous fecal microbiota transplantation (aFMT). Sample 0036 is pre-antibiotic sample of Baby 2, and sample 0045 is post-antibiotic with post-aFMT treatment. The goal of this study was to determine if aFMT can restore the gut microbiota to the individuals pre-antibiotic state after exposure to antibiotics. [doi:10.25345/C5J09WJ38] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: metabolomics ; untargeted ; gut ; microbiome ; fecal microbiota transplant ; UHPLC-MS/MS ; infant ; antibiotic ; DatasetType:Metabolomics

Contact

Principal Investigators:
(in alphabetical order) 		Maria Gloria Dominguez-Bello, Rutgers University, United States
Submitting User: shashi
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Number of distinct biological replicates across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct technical replicates across all analyses (original submission and reanalyses) associated with this dataset.

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Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

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Number of distinct protein accessions reported across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct peptide sequences (including modified variants or peptidoforms) reported across all analyses (original submission and reanalyses) associated with this dataset.

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Total number of peptide-spectrum matches (i.e. spectrum identifications) reported across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct proteins quantified across all analyses (original submission and reanalyses) associated with this dataset.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

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Number of distinct proteins found to be differentially abundant in at least one comparison across all analyses (original submission and reanalyses) associated with this dataset.

A protein is differentially abundant if its change in abundance across conditions is found to be statistically significant with an adjusted p-value <= 0.05 and lists no issues associated with statistical tests for differential abundance.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

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This dataset may not contain all raw spectra data as originally deposited in PRIDE. It has been imported to MassIVE for reanalysis purposes, so its spectra data here may consist solely of processed peak lists suitable for reanalysis with most software.