MassIVE MSV000091769

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GNPS - Untargeted plant metabolomics: Evaluation of lyophilization as sample preparation technique

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Description

Data for publication "Untargeted plant metabolomics: Evaluation of lyophilization as sample preparation technique" of Christina Maisl, Maria Doppler, Bernhard Seidl, Christoph Bueschl and Rainer Schuhmacher. [doi:10.25345/C5TX35H06] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: lyophilization ; plant metabolomics ; wheat

Contact

Principal Investigators:
(in alphabetical order) 		Rainer Schuhmacher, University of Natural Resources and Life Sciences, Vienna, Department of Agrobiotechnology IFA-Tulln, Institute of Bioanalytics and Agro-Metabolomics, Austria
Submitting User: chrmaisl

Publications

Maisl C, Doppler M, Seidl B, Bueschl C, Schuhmacher R.
Untargeted Plant Metabolomics: Evaluation of Lyophilization as a Sample Preparation Technique.
Metabolites. Epub 2023 May 25.

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GNPS content goes here (MSV000091769 [task=6e3984945e474f77a50d136f5a9f0b0f])
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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.

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.