MassIVE MSV000097279

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GC-MS Profile for Cultured Anaerobic Gut Fungi - Anaeromyces robustus and Caecomyces churrovis

Description

Untargeted metabolomic profiling with gas chromatography-mass spectrometry (GC-MS) was performed for two gut fungal strains, Anaeromyces robustus S4 and Caecomyces churrovis A, enabling putative identification of metabolites and providing insights into gut fungal metabolic capabilities. Metabolites were extracted using the Metabolite, Protein, and Lipid Extraction (MPLEx) method and derivatized using a modified version of the protocol used to create FiehnLib. Samples underwent methoximation to protect carbonyl groups and reduce tautomeric isomers, followed by silylation with N-methyl-N-trimethylsilyltrifluoroacetamide and 1% trimethylchlorosilane (MSTFA) to derivatize hydroxy and amine groups to trimethylsilated (TMS) forms. [doi:10.25345/C57W67J2Z] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Anaerobic Gut Fungi ; MPLEx ; Neocallimastigomycota ; DatasetType:Metabolomics

Contact

Principal Investigators:
(in alphabetical order)
Michelle O'Malley, University of California Santa Barbara, United States
Submitting User: lbutkovich

Publications

Lazarina Butkovich, Candice Swift, Chaevien Clendinen, Heather Olson, Samuel Purvine, Oliver Vining, Michelle O'Malley.
Untargeted GC-MS Metabolic Profiling of Anaerobic Gut Fungi Reveals Putative Terpenoids and Strain-Specific Metabolites.
Metabolites 2025, 15, 578. https://doi.org/10.3390/metabo15090578.

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Number of distinct conditions 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 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.