Evidence map›Paper›PMID 41591392›Full record

ArticleJournal of proteome research2026

Multiplexed Quantitation of Post-Translationally Modified Peptides in Single Cells Using Triggered MS/MS Combined with Super Heavy Tandem Mass Tags.

Dong-Gi Mun, Hiroshi Nishida, Firdous A Bhat, Raghavendra Rao Pasupuleti, Bernard Delanghe, Akhilesh Pandey

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Dong-Gi MunDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota 55905, United States.ORCID 0000-0003-3588-3440
Hiroshi NishidaDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota 55905, United States.
Firdous A BhatDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota 55905, United States.
Raghavendra Rao PasupuletiDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota 55905, United States.
Bernard DelangheThermo Fisher Scientific, 28199 Bremen, Germany.
Akhilesh PandeyDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota 55905, United States.ORCID 0000-0001-9943-6127

Funding

Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI Lila J. Rutten · 1985 to 2026
$151.3M
Mayo Clinic Center for Clinical ProteomicsU01CA271410 · NCI · MAYO CLINIC ROCHESTER · PI Rafael Fonseca, AKHILESH PANDEY · 2022 to 2026
$5.3M
NCI NIH HHS P30 CA015083NCI NIH HHS U01 CA271410
6 · The paper itself

Abstract

Recent advances in mass spectrometry permit unbiased proteome profiling of thousands of proteins from single cells using both label-free and labeling approaches. However, a major limitation of unbiased approaches is missing data, which worsens as the sample size increases. In addition, the reproducible measurement of post-translational modifications (PTMs) at the single cell level, particularly those present at a lower stoichiometry than their unmodified counterparts, poses an even greater challenge. To overcome this limitation, we developed a targeted strategy that combines tandem mass tag (TMT) multiplexing with SureQuant-based triggered MS/MS using super heavy TMT-labeled peptides that are 9 Da heavier than the TMTpro tags as triggers. To demonstrate the feasibility of our approach, we established a method quantifying four PTMs on the histone H3 protein (i.e., K14ac, K23ac, K27me, K27me3, and K79me) at single-cell resolution. We demonstrated robustness in quantitation compared to conventional approaches of data-dependent acquisition and standard parallel reaction monitoring. Further, we applied this strategy to single cells and revealed cellular heterogeneity in histone PTMs. Overall, we developed a targeted strategy with improved sensitivity and throughput for analyzing PTMs in single cells, which we expect will be broadly applicable to multiple types of PTMs while enabling focused analysis.

Indexed as

HistonesPeptidesProtein Processing, Post-TranslationalProteomicsSingle-Cell AnalysisTandem Mass SpectrometryHumansHistonesPeptidesPTMsingle cell proteomicssuper heavy tandem mass tagsSureQuant

Identifiers

PMID41591392
PMCPMC13265126

What OpenQuestion holds

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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 OpenQuestion graph.