Evidence map›Paper›PMID 42109029›Full record

ArticleJournal of the American Society for Mass Spectrometry2026

Extending Serum IgG1 Antibody Repertoire Coverage Using DIA-PTCR.

Rien W Leuvenink, Linus Wollenweber, Albert Bondt, Kyle L Fort, Albert J R Heck

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Rien W LeuveninkBiomolecular Mass Spectrometry and Proteomics, Bijvoet Centre for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Padualaan 8 3584 CH, Utrecht, The Netherlands.ORCID 0009-0002-6757-4116
Linus WollenweberBiomolecular Mass Spectrometry and Proteomics, Bijvoet Centre for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Padualaan 8 3584 CH, Utrecht, The Netherlands.
Albert BondtBiomolecular Mass Spectrometry and Proteomics, Bijvoet Centre for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Padualaan 8 3584 CH, Utrecht, The Netherlands.ORCID 0000-0002-0985-7903
Kyle L FortBiomolecular Mass Spectrometry and Proteomics, Bijvoet Centre for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Padualaan 8 3584 CH, Utrecht, The Netherlands.
Albert J R HeckBiomolecular Mass Spectrometry and Proteomics, Bijvoet Centre for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Padualaan 8 3584 CH, Utrecht, The Netherlands.ORCID 0000-0002-2405-4404

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detecting more and less abundant antibody clones in serum by LC-MS-based Fab profiling is challenging as all molecules are alike, leading to extreme spectral congestion following electrospray ionization. To reduce spectral congestion, we implemented gas-phase fractionation using proton transfer charge reduction in a data-independent analysis manner (DIA-PTCR). Employing just five isolation windows over a limited

Indexed as

Immunoglobulin GLiquid Chromatography-Mass SpectrometryHumansImmunoglobulin Fab FragmentsSpectrometry, Mass, Electrospray IonizationImmunoglobulin Fab FragmentsImmunoglobulin Gantibody repertoireFAB fragmentsLC-MS based clonal profilingproton transfer charge reduction (PTCR)spectral congestion

Identifiers

PMID42109029
PMCPMC13240204

What OpenQuestion holds

Textmetadata
Read underepoch 390

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 OpenQuestion graph.