MassIVE MSV000085244

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Description

This dataset contains the .raw files (PFAS analyzed in extracts from MSW leachate and foam from agitated leachate). It also contains the first release of the FluoroMatch software. This dataset is associated with the manuscript: "Towards comprehensive PFAS annotation using FluoroMatch Software and Intelligent LC-HRMS/MS Acquisition Methods "

The latest version of the FluoroMatch software can be found at:

innovativeomics.com

Thousands of per- and polyfluoroalkyl substances (PFAS) exist in the environment which pose a potential health hazard. Suspect and non-target screening with liquid chromatography (LC) high-resolution tandem mass spectrometry (HRMS/MS) can be used for comprehensive characterization of PFAS. However, to date, no automated PFAS data analysis software exists to mine these extensive datasets. Therefore, we introduce FluoroMatch, which automates file conversion (vendor neutral), peak picking, blank feature filtering, PFAS annotation based on precursor and fragment masses, and annotation ranking. The software library currently contains ~7,000 PFAS fragmentation patterns based on rules derived from standards and literature and the software automates a process for users to add additional compounds. The use of intelligent data-acquisition methods (specifically iterative exclusion) nearly doubled the number of annotations. Software application is demonstrated by examining partitioning of PFAS into the foam phase of agitated landfill leachate, which may serve as mechanism for removal of PFAS from waste streams. FluoroMatch had wide coverage, returning 27 PFAS annotations for landfill leachate samples, explaining 75% of the all-ion fragmentation CF2 related fragments.

***The license included with this dataset only applies to the .raw files, not to the software. [doi:10.25345/C5PH65] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: PFAS ; PFC ; PFCs ; perfluorinated ; leachate ; MSW ; Municipal Solid Waste ; Exposomics ; non-targeted ; contaminant ; exposure ; software ; algorithm ; suspect screening ; PFOS ; PFOA ; Environmental Chemistry ; FluoroMatch ; MS/MS ; data-dependent ; fragmentation ; data-independent ; DIA ; DDA ; AIF ; iterative exclusion ; IE

Contact

Principal Investigators:
(in alphabetical order) 		John A. Bowden, University of Florida, United States
Krystal G. Pollitt, Yale University, United States
Submitting User: jeremykoelmel
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Owner Reanalyses
Experimental Design
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Identification Results
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Quantification Results
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Species

Instrument

Modifications

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+ Dataset History

GNPS content goes here (MSV000085244 [task=72f6b633db7b459a8014d96630ef1c2b])
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When complete, the converted files will be available in the "ccms_peak" subdirectory of the dataset's FTP space (accessible via the "FTP Download" link to the right).
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.

"N/A" means no results of this type were submitted.
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.

"N/A" means no results of this type were submitted.
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.

"N/A" means no results of this type were submitted.
Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

"N/A" means no results of this type were submitted.
Number of distinct protein accessions reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Number of distinct unmodified peptide sequences reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Number of distinct peptide sequences (including modified variants or peptidoforms) reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Total number of peptide-spectrum matches (i.e. spectrum identifications) reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
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.

"N/A" means no results of this type were submitted.
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.

"N/A" means no results of this type were submitted.
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.