MassIVE MSV000088371

Partial Public PXD029695

GNPS Global and targeted metabolomics characterizes antipsychotic medications, amino acid signatures, and platelet-activating factor involvement in first-episode psychosis

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Description

We performed global untargeted metabolomics by LCMS using a Q Exactive Focus mass spectrometer coupled to a Dionex U3000 UHPLC of plasma extract from patients following First Episode Psychosis. Both positive and negative reversed phase injections were performed in triplicate with replicates performed in separate batches. The Biocrates p400 kit was also used to obtain absolute quantification of 400+ metabolites using the vendor kit, column, and data processing tools as provided. The resulting global data was processed with Compound Discoverer 2.1. The resulting output is included within this upload as well as the output from the Biocrates data processing software. Data was integrated using a variety of R scripts as detailed in the associated manuscript. [doi:10.25345/C5SG40] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Metabolomics, Biocrates p400, schizophrenia, global metabolomics, first episode psychosis

Contact

Principal Investigators:
(in alphabetical order) 		Benjamin C Orsburn, Johns Hopkins, USA
Submitting User: orsburn
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GNPS content goes here (MSV000088371 [task=14053abb05f84636906fdac4e013d10c])
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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.

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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 peptide sequences (including modified variants or peptidoforms) 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.