FLASHQuant: A Fast Algorithm for Proteoform Quantification in Top-Down Proteomics

Accurate quantification of individual proteoforms is a crucial step in identifying proteome-wide alterations in different biological conditions. Intact proteoforms have been analyzed predominantly by liquid chromatography-mass spectrometry (LC-MS)-based top-down proteomics (TDP) and quantified primarily by the label-free quantification (LFQ) method, as it requires no additional costly labeling. In TDP, due to frequent coelution and complex signal structures, overlapping signals deriving from multiple proteoforms complicate accurate quantification. Here, we introduce FLASHQuant for MS1-level LFQ analysis in TDP, which is capable of automatically resolving and quantifying coeluting proteoforms. In benchmark tests performed with both spike-in proteins and proteome-level mixture data sets, FLASHQuant was shown to perform highly accurate and reproducible quantification in short runtimes of just a few minutes per LC-MS run. In particular, it was demonstrated that resolving overlapping proteoforms boosts the quantification accuracy. FLASHQuant is publicly available as platform-independent open-source software at https://openms.org/flashquant/, accompanied by the simple alignment algorithm ConsensusFeatureGroupDetector for multiple LC-MS runs.

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Publication Details

Journal
Analytical Chemistry
Published
2024-10-18
DOI
https://doi.org/10.1021/acs.analchem.4c03117
Citations
4
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.96

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article

FLASHQuant: A Fast Algorithm for Proteoform Quantification in Top-Down Proteomics

Kyowon Jeong, Oliver Kohlbacher, Andreas Tholey, Konrad Winkels et al.
4 citations
Analytical Chemistry
Advanced Proteomics Techniques and Applications
0.96
article

FLASHQuant: A Fast Algorithm for Proteoform Quantification in Top-Down Proteomics

Kyowon Jeong, Oliver Kohlbacher, Andreas Tholey, Konrad Winkels, Philipp T. Kaulich, Jihyung Kim
article en
4 citations

Abstract

Accurate quantification of individual proteoforms is a crucial step in identifying proteome-wide alterations in different biological conditions. Intact proteoforms have been analyzed predominantly by liquid chromatography-mass spectrometry (LC-MS)-based top-down proteomics (TDP) and quantified primarily by the label-free quantification (LFQ) method, as it requires no additional costly labeling. In TDP, due to frequent coelution and complex signal structures, overlapping signals deriving from multiple proteoforms complicate accurate quantification. Here, we introduce FLASHQuant for MS1-level LFQ analysis in TDP, which is capable of automatically resolving and quantifying coeluting proteoforms. In benchmark tests performed with both spike-in proteins and proteome-level mixture data sets, FLASHQuant was shown to perform highly accurate and reproducible quantification in short runtimes of just a few minutes per LC-MS run. In particular, it was demonstrated that resolving overlapping proteoforms boosts the quantification accuracy. FLASHQuant is publicly available as platform-independent open-source software at https://openms.org/flashquant/, accompanied by the simple alignment algorithm ConsensusFeatureGroupDetector for multiple LC-MS runs.

Analytical ChemistryVol. 96(43)
Christian-Albrechts-Universität zu Kiel (DE), University Children's Hospital Tübingen (DE), Proteome Sciences (United Kingdom) (GB), Institute of Bioinformatics (IN), Institute for Medical Informatics and Biostatistics (CH), University of Tübingen (DE)
European Proteomics Infrastructure Consortium providing access, Deutsche Forschungsgemeinschaft, Bundesministerium für Bildung und Forschung, HORIZON EUROPE Marie Sklodowska-Curie Actions
Openalex Percentile: Top 27%
Advanced Proteomics Techniques and Applications
0.96
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