MassIVE MSV000100977

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French_Mushrooms_EtOAc_Extracts

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Description

Dataset of HPLC-HRMS/MS profiles from 146 species (191 samples, 48 families) of wild sporophore-forming fungi (macromycetes/mushrooms). Specimens were collected mostly in Alsace (France) between 2014 and 2025. 80 % of the dataset (153 samples) had species identification confirmed by ITS sequencing (Sanger method). The remaining 20 % were either not sequenced or yielded unsuccessful identifications due to PCR amplification failure; these samples were identified solely based on morphological and ecological characteristics. See the sample metadata for detailed information on collection sites and ITS validation status. EtOAc extracts profiled with HPLC-HRMS/MS on Bruker micrOTOF II. ESI Pos ionization mode. Chromatographic separation was performed on a Kinetex C18 column (Phenomenex), 2.6 microm, 150 x 2.1 mm. Mobile phase: (A) Water and (B) Acetonitrile both supplemented with 0.1% formic acid Gradient: Flow rate fixed at 0.7 mL/min. Initial conditions of 5% B for 0.5 min, followed by a linear gradient from 5% to 100% B over 19 min. Supplementary information includes sample metadata and an IIMN (Ion Identity Molecular Network) constructed from all detected features across aligned samples (blanks subtracted). The MZmine batch file, quantification table, and ion identity edge annotations used to build the molecular network are also provided. [doi:10.25345/C5JD4Q33M] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Macromycetes ; Mushrooms ; France ; Alsace ; Sporophores ; natural products ; DatasetType:Metabolomics

Contact

Principal Investigators:
(in alphabetical order) 		Aurelie Urbain, Strasbourg university, France
Jean-Michel Bellanger, University of Montpellier, France
Theo Ozga, Universite de La Reunion, France
Valois Ludivine, Strasbourg university, France
Yaouba Souaibou, Strasbourg university, France
Submitting User: tozga
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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.

The technical replicate count is defined as the maximum number of times any one distinct combination of condition and biological replicate was analyzed across all files submitted in the "Metadata" category. In the case of fractionated experiments, only the first fraction is considered.

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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.

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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.