Evidence map›Paper›PMID 39885717›Full record

ArticleJournal of proteome research2025

Cysteine-Directed Isobaric Labeling Combined with GeLC-FAIMS-MS for Quantitative Top-Down Proteomics.

Theo Matzanke, Philipp T Kaulich, Kyowon Jeong, Ayako Takemori, Nobuaki Takemori, Oliver Kohlbacher, Andreas Tholey

Abstract read
In one paragraph

Article in Journal of proteome research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

3 citing papers in PubMed.

  1. Article
  2. Integrating Spatial Proteogenomics in Cancer Research.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  3. Article
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

7 authors.

Theo MatzankeSystematic Proteome Research & Bioanalytics, Institute for Experimental Medicine, Christian-Albrechts-Universität zu Kiel, 24105 Kiel, Germany.
Philipp T KaulichSystematic Proteome Research & Bioanalytics, Institute for Experimental Medicine, Christian-Albrechts-Universität zu Kiel, 24105 Kiel, Germany.ORCID 0009-0000-7258-3565
Kyowon JeongApplied Bioinformatics, Computer Science Department, University of Tübingen, Sand 14, 72076 Tübingen, Germany.ORCID 0000-0003-3776-3098
Ayako TakemoriAdvanced Research Support Center, Institute for Promotion of Science and Technology, Ehime University, Toon 791-0295, Japan.ORCID 0000-0003-4288-7773
Nobuaki TakemoriAdvanced Research Support Center, Institute for Promotion of Science and Technology, Ehime University, Toon 791-0295, Japan.ORCID 0000-0001-6639-854X
Oliver KohlbacherApplied Bioinformatics, Computer Science Department, University of Tübingen, Sand 14, 72076 Tübingen, Germany.ORCID 0000-0003-1739-4598
Andreas TholeySystematic Proteome Research & Bioanalytics, Institute for Experimental Medicine, Christian-Albrechts-Universität zu Kiel, 24105 Kiel, Germany.ORCID 0000-0002-8687-6817

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The quantification of proteoforms, i.e., all molecular forms in which proteins can be present, by top-down proteomics provides essential insights into biological processes at the molecular level. Isobaric labeling-based quantification strategies are suitable for multidimensional separation strategies and allow for multiplexing of the samples. Here, we investigated cysteine-directed isobaric labeling by iodoTMT in combination with a gel- and gas-phase fractionation (GeLC-FAIMS-MS) for in-depth quantitative proteoform analysis. We optimized the acquisition workflow (i.e., the FAIMS compensation voltages, isolation windows, acquisition strategy, and fragmentation method) using a two-proteome mix to increase the number of quantified proteoforms and reduce ratio compression. Additionally, we implemented a mass feature-based quantification strategy in the widely used deconvolution algorithm FLASHDeconv, which improves and facilitates data analysis. The optimized iodoTMT GeLC-FAIMS-MS workflow was applied to quantitatively analyze the proteome of

Indexed as

CysteineEscherichia coli ProteinsProteomeProteomicsAlgorithmsEscherichia coliGlucoseMass SpectrometryCysteineEscherichia coli ProteinsGlucoseProteomeFAIMSisobaric labelingproteoformquantificationSDS-PAGEtop-down proteomics

Identifiers

PMID39885717
PMCPMC11894657

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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 Socratic graph.