MassIVE MSV000085119

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GNPS - Malpighiaceae plants (137 species)

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Description

Analyses of 136 Malpighiaceae species (most of them from Brazil, most of them leaves). Dried plant material were extracted, separately, with EtOH80% and EtOAc. Positive and Negative ionization mode analises. LC-MS/MS performed in an UltiMate 3000 UPLC system (Thermo Scientific) using a Kinetex 1.7 mm C18 reversed phase UHPLC column (50 X 2.1 mm) and Maxis Impact Q-TOF mass spectrometer (Bruker Daltonics) equipped with ESI source. [doi:10.25345/C5S401] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Malpighiaceae ; Plants

Contact

Principal Investigators:
(in alphabetical order) 		Pieter Dorrestein, University of California San Diego, USA
Vanderlan da Silva Bolzani, Sao Paulo State University (UNESP) - Araraquara, Brazil
Submitting User: helenamrusso

Publications

Mannochio-Russo H; de Almeida RF; Nunes WDG; Bueno PCP; Caraballo-Rogríguez AM; Bauermeister A; Dorrestein PC; Bolzani VS.
Untargeted Metabolomics Sheds Light on the Diversity of Major Classes of Secondary Metabolites in the Malpighiaceae Botanical Family.
Front Plant Sci. 2022, 13:854842. doi: 10.3389/fpls.2022.854842.

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GNPS content goes here (MSV000085119 [task=9cb3c50fd6aa4ed2b5dc0d53b1ed9db4])
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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.

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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