MassIVE MSV000091774

Partial Public

Targeted Quantification of Proteoforms in Human Samples by Proteoform Reaction Monitoring

Description

Here, we describe an approach based on the principle of PRM for the measurement of intact proteoforms by targeted top-down proteomics termed Proteoform Reaction Monitoring (PfRM). We explore the ability of our method to circumvent traditional limitations of top-down proteomics such as sensitivity and reproducibility. We also introduce a new software Proteoform Finder specifically designed for easy analysis of PfRM-MS data. [doi:10.25345/C56688V4X] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Orbitrap ; proteoform ; proteoform reaction monitoring ; PfRM ; human ; quantitative top down proteomics ; top down proteomics

Contact

Principal Investigators:
(in alphabetical order)
Luca Fornelli, University of Oklahoma, United States
Submitting User: Fornelli_Lab

Publications

Huang CF, Kline JT, Negrão F, Robey MT, Toby TK, Durbin KR, Fellers RT, Friedewald JJ, Levitsky J, Abecassis MMI, Melani RD, Kelleher NL, Fornelli L.
Targeted Quantification of Proteoforms in Complex Samples by Proteoform Reaction Monitoring.
Anal Chem. 2024 Feb 27;96(8):3578-3586. Epub 2024 Feb 14.

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Experimental Design
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Identification Results
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Quantification Results
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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 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.

"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.