Evidence map›Paper›PMID 41459773›Full record

ArticleJournal of the American Society for Mass Spectrometry2026

Spectral Cruncher: A Visualization Tool Integrating Manual Curation, Ion-Intensity Prediction, and De Novo Tag Generation.

Aline A M Martins, Blake L Tsu, Hulyana Brum, Lucas Sales, Marlon Dias Mariano Dos Santos, Juliana de Saldanha da Gama Fischer, Stephanie Almeida, Luisa Bulcao Vieira Coelho, Natalia Moreira, Alysson R Muotri and 1 more

Abstract read
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

11 authors.

Aline A M MartinsIntegrated Space Stem Cell Orbital Research Center, University of California San Diego, La Jolla, San Diego, California ZIP: 92037, United States.
Blake L TsuIntegrated Space Stem Cell Orbital Research Center, University of California San Diego, La Jolla, San Diego, California ZIP: 92037, United States.
Hulyana BrumLaboratory for Structural and Computational Proteomics, Carlos Chagas Institute-Fiocruz Paraná, Curitiba; ZIP: 81350-010, Brazil.
Lucas SalesLaboratory for Structural and Computational Proteomics, Carlos Chagas Institute-Fiocruz Paraná, Curitiba; ZIP: 81350-010, Brazil.
Marlon Dias Mariano Dos SantosLaboratory for Structural and Computational Proteomics, Carlos Chagas Institute-Fiocruz Paraná, Curitiba; ZIP: 81350-010, Brazil.ORCID 0000-0002-1178-1266
Juliana de Saldanha da Gama FischerIntegrated Space Stem Cell Orbital Research Center, University of California San Diego, La Jolla, San Diego, California ZIP: 92037, United States.ORCID 0000-0001-5529-4366
Stephanie AlmeidaIntegrated Space Stem Cell Orbital Research Center, University of California San Diego, La Jolla, San Diego, California ZIP: 92037, United States.
Luisa Bulcao Vieira CoelhoIntegrated Space Stem Cell Orbital Research Center, University of California San Diego, La Jolla, San Diego, California ZIP: 92037, United States.
Natalia MoreiraIntegrated Space Stem Cell Orbital Research Center, University of California San Diego, La Jolla, San Diego, California ZIP: 92037, United States.
Alysson R MuotriIntegrated Space Stem Cell Orbital Research Center, University of California San Diego, La Jolla, San Diego, California ZIP: 92037, United States.
Paulo Costa CarvalhoIntegrated Space Stem Cell Orbital Research Center, University of California San Diego, La Jolla, San Diego, California ZIP: 92037, United States.ORCID 0000-0001-6530-3350

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here, we introduce Spectral Cruncher, an interactive extension to the PatternLab for Proteomics platform, designed to bridge the gap between manual curation and state-of-the-art computational analysis of proteomic tandem mass spectra. Spectral Cruncher integrates de novo sequence tag extraction, automated spectral annotation, targeted tag search, and a customized transformer-based fragment-ion intensity predictor (SpecFormer) within a unified graphical environment, designed for interactive and instrument-specific visualization. Central to this workflow is SpecFormer, a compact transformer architecture trained on multiple data sets, providing independent ion intensity models for Q-Exactive + bulk, Astral bulk, and Astral single-cell proteomics data, enabling accurate and instrument-specific intensity prediction even under conditions of sparse fragmentation and low signal-to-noise ratios. Evaluation of SpecFormer demonstrates high predictive performance, with average cosine similarities of approximately 0.98 for bulk Q-Exactive + data sets, 0.91 for bulk Astral, and 0.87 for Astral single-cell data. These tools enable researchers to interrogate ambiguous spectra, validate peptide identifications, and develop intuition for algorithmic limitations. The tools are freely available within PatternLab 5.1, lowering technical barriers and promoting broader adoption of interactive, expert-driven workflows as well as providing a learning environment. A video of our tool in action is available at https://youtu.be/tc2sPiqJkLA.

Indexed as

ProteomicsSoftwareTandem Mass SpectrometryAlgorithmsDatabases, ProteinHumansPeptidesSingle-Cell AnalysisWorkflowPeptidesAstralavailablebulkdatadesignedinstrument-specificintensityinteractivePatternLabprovidingQ-Exactive+setssingle-cellSpecFormerSpectraltagtools

Identifiers

PMID41459773
PMCPMC12879931

What OpenQuestion holds

Textmetadata
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.