Evidence map›Paper›PMID 36648445›Full record

ArticleJournal of proteome research2023

Trans-Proteomic Pipeline: Robust Mass Spectrometry-Based Proteomics Data Analysis Suite.

Eric W Deutsch, Luis Mendoza, David D Shteynberg, Michael R Hoopmann, Zhi Sun, Jimmy K Eng, Robert L Moritz

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 67 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 2 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

67 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. An AI-Ready Phosphorylation Meta-Analysis forJournal of proteome research · 2026
    Pooled it
  2. Pooled it
  3. Article
  4. AData in brief · 2026
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. A Landscape Analysis of Human SUMOylation.Molecular & cellular proteomics : MCP · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. TheJournal of proteome research · 2026
    Article
  15. Precision Profiling of the Cardiovascular Post-Translationally Modified Proteome.Journal of cardiovascular development and disease · 2026
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

7 more citing papers are in PubMed but not listed here.

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

7 authors.

Eric W DeutschInstitute for Systems Biology, Seattle, Washington 98109, United States.ORCID 0000-0001-8732-0928
Luis MendozaInstitute for Systems Biology, Seattle, Washington 98109, United States.ORCID 0000-0003-0128-8643
David D ShteynbergInstitute for Systems Biology, Seattle, Washington 98109, United States.
Michael R HoopmannInstitute for Systems Biology, Seattle, Washington 98109, United States.ORCID 0000-0001-7029-7792
Zhi SunInstitute for Systems Biology, Seattle, Washington 98109, United States.ORCID 0000-0003-3324-6851
Jimmy K EngProteomics Resource, University of Washington, Seattle, Washington 98195, United States.ORCID 0000-0001-6352-6737
Robert L MoritzInstitute for Systems Biology, Seattle, Washington 98109, United States.ORCID 0000-0002-3216-9447

Funding

Systems BiologyU19AG023122 · NIA · TRANSLATIONAL GENOMICS RESEARCH INST · PI Thomas Girke, NICHOLAS Joseph SCHORK · 2004 to 2026
$102.6M
COPD Susceptibility, Heterogeneity, and Progression: Proteomics and GeneticsR01HL133135 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI MORITZ, ROBERT L, SILVERMAN, EDWIN K · 2017 to 2025
$7.2M
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
Advancing data and metadata standards for proteomics mass spectraR24GM127667 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI DEUTSCH, ERIC · 2017 to 2019
$1.2M
Acquisition of Fusion Lumos Orbitrap mass spectrometerS10OD026936 · OD · INSTITUTE FOR SYSTEMS BIOLOGY · PI MORITZ, ROBERT L · 2019 to 2019
$600k
NHLBI NIH HHS R01 HL133135NIA NIH HHS U19 AG023122NIA NIH HHS UH3 AG064706NIGMS NIH HHS R01 GM087221NIGMS NIH HHS R24 GM127667NIH HHS S10 OD026936
6 · The paper itself

Abstract

The Trans-Proteomic Pipeline (TPP) mass spectrometry data analysis suite has been in continual development and refinement since its first tools, PeptideProphet and ProteinProphet, were published 20 years ago. The current release provides a large complement of tools for spectrum processing, spectrum searching, search validation, abundance computation, protein inference, and more. Many of the tools include machine-learning modeling to extract the most information from data sets and build robust statistical models to compute the probabilities that derived information is correct. Here we present the latest information on the many TPP tools, and how TPP can be deployed on various platforms from personal Windows laptops to Linux clusters and expansive cloud computing environments. We describe tutorials on how to use TPP in a variety of ways and describe synergistic projects that leverage TPP. We conclude with plans for continued development of TPP.

Indexed as

ProteomicsSoftwareData AnalysisMass SpectrometryProbability6.1.0 Parhelioncomputational proteomicsmass spectrometryPeptideProphetProteinProphetproteomicsTrans-Proteomic Pipeline

Identifiers

PMID36648445
PMCPMC10166710

What OpenQuestion holds

Textmetadata
LicenceTDM
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.