Evidence map›Paper›PMID 37235544›Full record

ArticleJournal of proteome research2023

Comparing Top-Down Proteoform Identification: Deconvolution, PrSM Overlap, and PTM Detection.

David L Tabb, Kyowon Jeong, Karen Druart, Megan S Gant, Kyle A Brown, Carrie Nicora, Mowei Zhou, Sneha Couvillion, Ernesto Nakayasu, Janet E Williams and 5 more

Abstract read
In one paragraph

Article in Journal of proteome research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Deep Proteoform Sequencing with Top-Down Direct Mass Technology.bioRxiv : the preprint server for biology · 2026
    Article
  3. Review
  4. Review
  5. Article
  6. Top-Down and Middle-Down Mass Spectrometry of Antibodies.Molecular & cellular proteomics : MCP · 2025
    Review
  7. A Fast Neural Network for Isotopic Charge State Assignment.Journal of the American Chemical Society · 2025
    Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Top-down proteomics.Nature reviews. Methods primers · 2024
    Article
  18. Review
  19. Article
  20. 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

15 authors.

David L TabbUniversité Paris Cité, Institut Pasteur, CNRS UAR 2024, Mass Spectrometry for Biology Unit, Paris 75015, France.ORCID 0000-0001-7223-578X
Kyowon JeongApplied Bioinformatics, Computer Science Department, University of Tübingen, Tübingen 72076, Germany.ORCID 0000-0003-3776-3098
Karen DruartUniversité Paris Cité, Institut Pasteur, CNRS UAR 2024, Mass Spectrometry for Biology Unit, Paris 75015, France.ORCID 0000-0002-9572-7741
Megan S GantUniversité Paris Cité, Institut Pasteur, CNRS UAR 2024, Mass Spectrometry for Biology Unit, Paris 75015, France.
Kyle A BrownSchool of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin 53705, United States.ORCID 0000-0003-1255-9146
Carrie NicoraBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States.
Mowei ZhouEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.ORCID 0000-0003-3575-3224
Sneha CouvillionBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States.
Ernesto NakayasuBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States.
Janet E WilliamsDepartment of Animal, Veterinary, and Food Sciences, University of Idaho, Moscow, Idaho 83844, United States.
Haley K PetersonDepartment of Animal, Veterinary, and Food Sciences, University of Idaho, Moscow, Idaho 83844, United States.
Michelle K McGuireMargaret Ritchie School of Family and Consumer Sciences, University of Idaho, Moscow, Idaho 83844, United States.
Mark A McGuireDepartment of Animal, Veterinary, and Food Sciences, University of Idaho, Moscow, Idaho 83844, United States.
Thomas O MetzBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States.
Julia Chamot-RookeUniversité Paris Cité, Institut Pasteur, CNRS UAR 2024, Mass Spectrometry for Biology Unit, Paris 75015, France.ORCID 0000-0002-9427-543X

Funding

Mammary and milk microbiomes and metabolomes - Understanding early variation and impacts on risk for mammary inflammation and mastitisR01HD092297 · NICHD · UNIVERSITY OF IDAHO · PI MCGUIRE, MICHELLE KAY · 2018 to 2022
$2.4M
NICHD NIH HHS R01 HD092297
6 · The paper itself

Abstract

Generating top-down tandem mass spectra (MS/MS) from complex mixtures of proteoforms benefits from improvements in fractionation, separation, fragmentation, and mass analysis. The algorithms to match MS/MS to sequences have undergone a parallel evolution, with both spectral alignment and match-counting approaches producing high-quality proteoform-spectrum matches (PrSMs). This study assesses state-of-the-art algorithms for top-down identification (ProSight PD, TopPIC, MSPathFinderT, and pTop) in their yield of PrSMs while controlling false discovery rate. We evaluated deconvolution engines (ThermoFisher Xtract, Bruker AutoMSn, Matrix Science Mascot Distiller, TopFD, and FLASHDeconv) in both ThermoFisher Orbitrap-class and Bruker maXis Q-TOF data (PXD033208) to produce consistent precursor charges and mass determinations. Finally, we sought post-translational modifications (PTMs) in proteoforms from bovine milk (PXD031744) and human ovarian tissue. Contemporary identification workflows produce excellent PrSM yields, although approximately half of all identified proteoforms from these four pipelines were specific to only one workflow. Deconvolution algorithms disagree on precursor masses and charges, contributing to identification variability. Detection of PTMs is inconsistent among algorithms. In bovine milk, 18% of PrSMs produced by pTop and TopMG were singly phosphorylated, but this percentage fell to 1% for one algorithm. Applying multiple search engines produces more comprehensive assessments of experiments. Top-down algorithms would benefit from greater interoperability.

Indexed as

ProteomeTandem Mass SpectrometryHumansProtein Processing, Post-TranslationalProteomicsSoftwareProteomebioinformaticsdeconvolutionidentification algorithmspost-translational modificationsproteoformstop-down proteomics.

Identifiers

PMID37235544
PMCPMC10337255

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.