Evidence map›Paper›PMID 35290070›Full record

ArticleJournal of proteome research2022

Proteomics Standards Initiative's ProForma 2.0: Unifying the Encoding of Proteoforms and Peptidoforms.

Richard D LeDuc, Eric W Deutsch, Pierre-Alain Binz, Ryan T Fellers, Anthony J Cesnik, Joshua A Klein, Tim Van Den Bossche, Ralf Gabriels, Arshika Yalavarthi, Yasset Perez-Riverol and 8 more

Abstract read
In one paragraph

Article in Journal of proteome research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Open-Source and FAIR Research Software for Proteomics.Journal of proteome research · 2025
    Review
  12. Article
  13. Searching for Sulfotyrosines (sY) in a HA(pY)STACK.Journal of proteome research · 2025
    Article
  14. The PRIDE database at 20 years: 2025 update.Nucleic acids research · 2025
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Deep Learning-Assisted Analysis of Immunopeptidomics Data.Methods in molecular biology (Clifton, N.J.) · 2024
    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

18 authors.

Richard D LeDucNational Resource for Translational and Developmental Proteomics, Northwestern University, Evanston, Illinois 60611, United States.ORCID 0000-0002-6951-2923
Eric W DeutschInstitute for Systems Biology, Seattle, Washington 98109, United States.ORCID 0000-0001-8732-0928
Pierre-Alain BinzClinical Chemistry Service, Lausanne University Hospital, 1011 Lausanne, Switzerland.
Ryan T FellersNational Resource for Translational and Developmental Proteomics, Northwestern University, Evanston, Illinois 60611, United States.
Anthony J CesnikDepartment of Genetics, Stanford University, Stanford, California 94305, United States.
Joshua A KleinProgram for Bioinformatics, Boston University, Boston, Massachusetts 02215, United States.
Tim Van Den BosscheVIB-UGent Center for Medical Biotechnology, VIB, Technologiepark 75-FSVM II, 9052 Ghent, Belgium.ORCID 0000-0002-5916-2587
Ralf GabrielsVIB-UGent Center for Medical Biotechnology, VIB, Technologiepark 75-FSVM II, 9052 Ghent, Belgium.ORCID 0000-0002-1679-1711
Arshika YalavarthiNational Resource for Translational and Developmental Proteomics, Northwestern University, Evanston, Illinois 60611, United States.
Yasset Perez-RiverolEuropean Molecular Biology Laboratory, EMBL-European Bioinformatics Institute (EMBL-EBI), Hinxton, Cambridge CB10 1SD, United Kingdom.ORCID 0000-0001-6579-6941
Jeremy Carver
Shin KawanoToyama University of International Studies, Toyama, 930-1292 Toyama, Higashikuromaki, 6 5-1, Japan.
Benjamin Pullman
Neil L KelleherNational Resource for Translational and Developmental Proteomics, Northwestern University, Evanston, Illinois 60611, United States.ORCID 0000-0002-8815-3372
Paul M ThomasNational Resource for Translational and Developmental Proteomics, Northwestern University, Evanston, Illinois 60611, United States.
Juan Antonio VizcaínoEuropean Molecular Biology Laboratory, EMBL-European Bioinformatics Institute (EMBL-EBI), Hinxton, Cambridge CB10 1SD, United Kingdom.ORCID 0000-0002-3905-4335

Funding

Systems BiologyU19AG023122 · NIA · TRANSLATIONAL GENOMICS RESEARCH INST · PI JODI A LAPIDUS · 2004 to 2026
$102.6M
TR&D 7: Cell Specific ProteomicsP41GM108569 · NIGMS · NORTHWESTERN UNIVERSITY · PI KELLEHER, NEIL L · 2015 to 2024
$13.6M
Shortening the development cycle time of Trans Proteomic Pipeline tools with high performance computingR01GM087221 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI DEUTSCH, ERIC, MORITZ, ROBERT L · 2010 to 2021
$6.0M
Integrative Omics to enhance therapeutics development for healthy agingUH3AG064706 · NIA · TRANSLATIONAL GENOMICS RESEARCH INST · PI MILLER, RICHARD A, SCHORK, NICHOLAS JOSEPH · 2021 to 2024
$3.3M
Renewable and Specific Affinity Reagents for Mapping Proteoforms in Human TissuesUH3CA246635 · NCI · NORTHWESTERN UNIVERSITY · PI KELLEHER, NEIL L · 2019 to 2021
$1.4M
MassIVE.quant: a curated and scalable community resource for quantitative proteomicsR01LM013115 · NLM · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BANDEIRA, NUNO · 2019 to 2022
$1.3M
Advancing data and metadata standards for proteomics mass spectraR24GM127667 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI DEUTSCH, ERIC · 2017 to 2019
$1.2M
A FAIR Public Repository for Experimentally Verified ProteoformsR21LM013097 · NLM · NORTHWESTERN UNIVERSITY · PI THOMAS, PAUL M · 2019 to 2020
$377k
Biotechnology and Biological Sciences Research Council BB/S01781X/1NCI NIH HHS UH3 CA246635NIA NIH HHS U19 AG023122NIA NIH HHS UH3 AG064706NIGMS NIH HHS P41 GM108569NIGMS NIH HHS R01 GM087221NIGMS NIH HHS R24 GM127667NLM NIH HHS R01 LM013115NLM NIH HHS R21 LM013097
6 · The paper itself

Abstract

It is important for the proteomics community to have a standardized manner to represent all possible variations of a protein or peptide primary sequence, including natural, chemically induced, and artifactual modifications. The Human Proteome Organization Proteomics Standards Initiative in collaboration with several members of the Consortium for Top-Down Proteomics (CTDP) has developed a standard notation called ProForma 2.0, which is a substantial extension of the original ProForma notation developed by the CTDP. ProForma 2.0 aims to unify the representation of proteoforms and peptidoforms. ProForma 2.0 supports use cases needed for bottom-up and middle-/top-down proteomics approaches and allows the encoding of highly modified proteins and peptides using a human- and machine-readable string. ProForma 2.0 can be used to represent protein modifications in a specified or ambiguous location, designated by mass shifts, chemical formulas, or controlled vocabulary terms, including cross-links (natural and chemical) and atomic isotopes. Notational conventions are based on public controlled vocabularies and ontologies. The most up-to-date full specification document and information about software implementations are available at http://psidev.info/proforma.

Indexed as

ProteomeProteomicsHumansProtein Processing, Post-TranslationalReference StandardsSoftwareProteomedata standardsFAIRfile formatsmass spectrometrypeptidoformProFormaproteoformtop-down proteomics

Identifiers

PMID35290070
PMCPMC7612572

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.