Analytical ChemistryBioinformaticsPeer-reviewed journal article
FLASHQuant: a fast algorithm for proteoform quantification in top-down proteomics
Jihyung KimiD, Kyowon JeongiD, Philipp T. KaulichiD, Konrad Winkels, Andreas TholeyiD, Oliver KohlbacheriD
Abstract
Liquid chromatography-mass spectrometry (LC-MS) based top-down proteomics (TDP) is an essential method for the analysis of intact proteoforms. The accurate quantification of individual proteoforms is a crucial step in identifying proteome-wide alterations in different biological conditions. Label-free quantification (LFQ) is the most common method for proteoform quantification as it requires no additional costly labeling. In TDP, due to frequent co-elution 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 co-eluting proteoforms. FLASHQuant performs highly accurate and reproducible quantification in short runtimes of just a few minutes per LC-MS run. To validate the proteoforms reported by FLASHQuant, we evaluated them with identified proteoforms confirmed by tandem mass spectrometry, which showed high match rates. FLASHQuant is publicly available as platform-independent open-source software at https://openms.org/flashquant/.
- assay: proteomics
- research focus: variant calling
- research focus: software / tool
- approach: statistical model
- Citations
- 6
- FWCI
- 0.75
- Field percentile
- top 38%
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