MassIVE MSV000095588

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GNPS - Dilution series experiment of native and 13C-labelled Remus wheat ear extracts

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Description

Data for Publication "Accuracy and linearity of relative and comparative quantification in untargeted metabolomics" of Christina Maisl, Rainer Schuhmacher and Christoph Bueschl [doi:10.25345/C57H1DZ6N] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: wheat ; plant metabolomics ; dilution series

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, Schuhmacher R, Bueschl C.
Accuracy, linearity, and statistical differences in comparative quantification in untargeted plant metabolomics using LC-ESI-Orbitrap-MS.
Anal Bioanal Chem. 2025 May;417(11):2293-2309. Epub 2025 Mar 10.

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GNPS content goes here (MSV000095588 [task=cc86779c6eb74736acb91024627fcffc])
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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 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.

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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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