Evidence map›Paper›PMID 42447324›Full record

ArticleJournal of proteome research2026

Analysis and Annotation of c-Type Ions in Peptide Mass Spectral Libraries.

Meghan C Burke, Xiaoyu Yang, Yuxue Liang, Pedatsur Neta, Stephen E Stein

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

5 authors.

Meghan C BurkeMass Spectrometry Data Center, Biomolecular Measurement Division, National Institute of Standards and Technology, Gaithersburg, Maryland20899, United States.ORCID 0000-0001-7231-0655
Xiaoyu YangMass Spectrometry Data Center, Biomolecular Measurement Division, National Institute of Standards and Technology, Gaithersburg, Maryland20899, United States.ORCID 0000-0003-3371-9567
Yuxue LiangMass Spectrometry Data Center, Biomolecular Measurement Division, National Institute of Standards and Technology, Gaithersburg, Maryland20899, United States.ORCID 0000-0002-6430-915X
Pedatsur NetaMass Spectrometry Data Center, Biomolecular Measurement Division, National Institute of Standards and Technology, Gaithersburg, Maryland20899, United States.
Stephen E SteinMass Spectrometry Data Center, Biomolecular Measurement Division, National Institute of Standards and Technology, Gaithersburg, Maryland20899, United States.ORCID 0000-0001-9384-3450

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The large collection of high-quality mass spectra in the NIST Human HCD Peptide and NIST Tandem Mass Spectral Libraries is used to understand the role of peptide sequence in c-type ion formation in beam-type collision-induced dissociation. Furthermore, results from the analyses were used to inform and apply annotation rules for c-type ions in the updated Human HCD Peptide Mass Spectral Library. As a result, 155,663 c-type ions are now annotated, providing additional peptide sequence information, often where b- and y-type ions may be lacking. Examples shown here highlight the significance of these c-type ions, both in terms of their relative abundance and in resolving peptide-sequence ambiguities. Furthermore, these examples illustrate the value of including c-type ions to improve searching and scoring of peptide spectrum matches.

Indexed as

Peptide LibraryPeptidesProteomicsAmino Acid SequenceHumansIonsTandem Mass SpectrometryIonsPeptide LibraryPeptidesasparaginecysteineglutamineMass Spectral Libraryproteomics

Identifiers

PMID42447324
PMCPMC13459556

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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.