Evidence map›Paper›PMID 39424290›Full record

ArticleAnalytical chemistry2024

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

Jihyung Kim, Kyowon Jeong, Philipp T Kaulich, Konrad Winkels, Andreas Tholey, Oliver Kohlbacher

Abstract read
In one paragraph

Article in Analytical chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jihyung KimApplied Bioinformatics, Department for Computer Science, University of Tübingen, 72076 Tübingen, Germany.ORCID 0000-0002-9894-4258
Kyowon JeongApplied Bioinformatics, Department for Computer Science, University of Tübingen, 72076 Tübingen, Germany.ORCID 0000-0003-3776-3098
Philipp T KaulichSystematic Proteome Research & Bioanalytics, Institute for Experimental Medicine, Christian-Albrechts-Universität zu Kiel, 24105 Kiel, Germany.ORCID 0009-0000-7258-3565
Konrad WinkelsSystematic Proteome Research & Bioanalytics, Institute for Experimental Medicine, Christian-Albrechts-Universität zu Kiel, 24105 Kiel, Germany.
Andreas TholeySystematic Proteome Research & Bioanalytics, Institute for Experimental Medicine, Christian-Albrechts-Universität zu Kiel, 24105 Kiel, Germany.ORCID 0000-0002-8687-6817
Oliver KohlbacherApplied Bioinformatics, Department for Computer Science, University of Tübingen, 72076 Tübingen, Germany.ORCID 0000-0003-1739-4598

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

AlgorithmsProteomicsChromatography, LiquidHumansMass SpectrometryProteomeSoftwareTandem Mass SpectrometryProteome

Identifiers

PMID39424290
PMCPMC11525931

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.