Evidence map›Paper›PMID 33431886›Full record

ArticleNature communications2021

Data-independent acquisition method for ubiquitinome analysis reveals regulation of circadian biology.

Fynn M Hansen, Maria C Tanzer, Franziska Brüning, Isabell Bludau, Che Stafford, Brenda A Schulman, Maria S Robles, Ozge Karayel, Matthias Mann

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 2 pooled it
10.4field-weighted citation impact, top 1% of its field
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

68 citing papers in PubMed, 2 syntheses or guidelines pooled it, 124 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Article
  7. Mass spectrometry proteomics for studying mitostasis.Protein science : a publication of the Protein Society · 2026
    Review
  8. Article
  9. Article
  10. Computational Pipelines for Protein Ubiquitylation Analysis and Prediction.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  11. Article
  12. Article
  13. The functional landscape of the human ubiquitinome.bioRxiv : the preprint server for biology · 2025
    Article
  14. Slice-PASEF: Maximising Ion Utilisation in LC-MS Proteomics.bioRxiv : the preprint server for biology · 2025
    Article
  15. Review
  16. Article
  17. Review
  18. Review
  19. The Molecular Toolbox for Linkage Type-Specific Analysis of Ubiquitin Signaling.Chembiochem : a European journal of chemical biology · 2025
    Review
  20. Article

8 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

9 authors at 3 institutions in 1 country.

Fynn M HansenDepartment of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.
Maria C TanzerDepartment of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.
Franziska BrüningDepartment of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.ORCID 0000-0002-4169-0744
Isabell BludauDepartment of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.
Che StaffordGene Center and Department of Biochemistry, Ludwig-Maximilians-Universität München, Munich, Germany.
Brenda A SchulmanDepartment of Molecular Machines and Signaling, Max Planck Institute of Biochemistry, Martinsried, Germany.ORCID 0000-0002-3083-1126
Maria S RoblesInstitute of Medical Psychology, Faculty of Medicine, LMU, Munich, Germany. charo.robles@med.uni-muenchen.de.ORCID 0000-0001-9149-8761
Ozge KarayelDepartment of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany. karayel@biochem.mpg.de.ORCID 0000-0003-2541-1159
Matthias MannDepartment of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany. mmann@biochem.mpg.de.ORCID 0000-0003-1292-4799
Max Planck Institute of Biochemistry · DELMU Klinikum · DELudwig-Maximilians-Universität München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein ubiquitination is involved in virtually all cellular processes. Enrichment strategies employing antibodies targeting ubiquitin-derived diGly remnants combined with mass spectrometry (MS) have enabled investigations of ubiquitin signaling at a large scale. However, so far the power of data independent acquisition (DIA) with regards to sensitivity in single run analysis and data completeness have not yet been explored. Here, we develop a sensitive workflow combining diGly antibody-based enrichment and optimized Orbitrap-based DIA with comprehensive spectral libraries together containing more than 90,000 diGly peptides. This approach identifies 35,000 diGly peptides in single measurements of proteasome inhibitor-treated cells - double the number and quantitative accuracy of data dependent acquisition. Applied to TNF signaling, the workflow comprehensively captures known sites while adding many novel ones. An in-depth, systems-wide investigation of ubiquitination across the circadian cycle uncovers hundreds of cycling ubiquitination sites and dozens of cycling ubiquitin clusters within individual membrane protein receptors and transporters, highlighting new connections between metabolism and circadian regulation.

Indexed as

Circadian RhythmHEK293 CellsHumansPeptide LibraryProteomeProteomicsReproducibility of ResultsSignal TransductionTumor Necrosis Factor-alphaUbiquitinUbiquitinationPeptide LibraryProteomeTumor Necrosis Factor-alphaUbiquitin

Identifiers

PMID33431886
PMCPMC7801436
OpenAlexW3119685635

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.