MassIVE MSV000087752

Partial Public

GNPS - Untargeted metabolomics and stable isotope tracing with U-13C-labeled fiber in healthy and colitic mice

Description

By fermenting dietary fiber, the gut microbiota supplies carbon to host epithelial cells in the form of short-chain fatty acids and other metabolic byproducts. To track the transfer of carbon from fiber to host tissues via the microbiota and more clearly define the molecules mediating this transfer, we conducted stable isotope tracing in mice with U-13C-labeled inulin followed by untargeted metabolomics by LC-MS. Additionally, we applied this labeling approach to mice with chemically induced colitis to examine how inflammation impacts carbon transfer from the microbiota to host tissues, which may aid in understanding the development of inflammatory bowel diseases. [doi:10.25345/C56N9B] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Host-microbiota interactions, untargeted LC-MS metabolomics, fatty acid metabolism, DSS colitis

Contact

Principal Investigators:
(in alphabetical order)
Peder Lund, University of Pennsylvania, United States
Submitting User: pederl
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Identification Results
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GNPS content goes here (MSV000087752 [task=5bf9b155511f42cfac925173ba2ede75])
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Number of distinct conditions across all analyses (original submission and reanalyses) associated with this dataset.

Distinct condition labels are counted across all files submitted in the "Metadata" category having a "Condition" column in this dataset.

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

Distinct replicate labels are counted across all files submitted in the "Metadata" category having a "BioReplicate" or "Replicate" column in 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 unmodified peptide sequences 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.

"N/A" means no results of this type were submitted.
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.