Evidence map›Paper›PMID 42136314›Full record

ArticleJournal of proteome research2026

Aggregation Methods for Quantifying PTM and Structural Changes in Bottom-Up Proteomics.

Erik D VonKaenel, Jordan C Rozum, Tong Zhang, Kelly G Stratton, Lisa M Bramer, H Steven Wiley, Wei-Jun Qian, Amy C Sims, John T Melchior, Song Feng

Abstract read
In one paragraph

Article in Journal of proteome research, 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

10 authors.

Erik D VonKaenelBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States.ORCID 0000-0002-8933-7413
Jordan C RozumBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States.
Tong ZhangBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States.ORCID 0000-0003-2540-2017
Kelly G StrattonBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States.ORCID 0000-0002-1721-9688
Lisa M BramerBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States.ORCID 0000-0002-8384-1926
H Steven WileyEnvironmental Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States.
Wei-Jun QianBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States.ORCID 0000-0002-5393-2827
Amy C SimsNuclear, Chemical, and Biological Technologies Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States.
John T MelchiorBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States.ORCID 0000-0003-3781-2566
Song FengBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States.ORCID 0000-0003-3983-9009

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bottom-up proteomic workflows rely on sequential preprocessing steps, commonly including peptide-to-protein aggregation ("roll-up"), to enhance data reliability and interpretability. While roll-up is effective for protein-centered analyses, it may be suboptimal for applications focused on post-translational modifications (PTMs) or protein structural changes, such as limited proteolysis-mass spectrometry (LiP-MS). Here, we investigate how different roll-up strategies influence site-level quantification in PTM differential analysis. Moreover, we introduce a novel site-centric roll-up approach tailored for LiP-MS, which quantifies proteolytic fragments rather than solely tryptic peptides. We benchmark these methods through simulation studies, comparing their sensitivity and specificity in detecting structural and PTM-driven changes. We found that the

Indexed as

Protein Processing, Post-TranslationalProteomicsMass SpectrometryPeptidesProteolysisReproducibility of ResultsPeptidesbottom-up proteomicslimited-proteolysis mass spectrometrypost-translational modificationproteomics quantification

Identifiers

PMID42136314
PMCPMC13248008

What OpenQuestion holds

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LicenceCC BY
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.