Evidence map›Paper›PMID 39825144›Full record

ReviewNature protocols2025

An accessible workflow for high-sensitivity proteomics using parallel accumulation-serial fragmentation (PASEF).

Patricia Skowronek, Georg Wallmann, Maria Wahle, Sander Willems, Matthias Mann

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature protocols, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Review
  2. Article
  3. Mass spectrometry proteomics for studying mitostasis.Protein science : a publication of the Protein Society · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Slice-PASEF: Maximising Ion Utilisation in LC-MS Proteomics.bioRxiv : the preprint server for biology · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
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

5 authors.

Patricia SkowronekDepartment Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.ORCID 0000-0002-8441-6067
Georg WallmannDepartment Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.ORCID 0000-0003-4749-3730
Maria WahleDepartment Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.ORCID 0000-0003-2079-4402
Sander WillemsDepartment Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.ORCID 0000-0002-7124-610X
Matthias MannDepartment Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany. mmann@biochem.mpg.de.ORCID 0000-0003-1292-4799

Funding

EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 874839 ISLET
6 · The paper itself

Abstract

Deep and accurate proteome analysis is crucial for understanding cellular processes and disease mechanisms; however, it is challenging to implement in routine settings. In this protocol, we combine a robust chromatographic platform with a high-performance mass spectrometric setup to enable routine yet in-depth proteome coverage for a broad community. This entails tip-based sample preparation and pre-formed gradients (Evosep One) combined with a trapped ion mobility time-of-flight mass spectrometer (timsTOF, Bruker). The timsTOF enables parallel accumulation-serial fragmentation (PASEF), in which ions are accumulated and separated by their ion mobility, maximizing ion usage and simplifying spectra. Combined with data-independent acquisition (DIA), it offers high peak sampling rates and near-complete ion coverage. Here, we explain how to balance quantitative accuracy, specificity, proteome coverage and sensitivity by choosing the best PASEF and DIA method parameters. The protocol describes how to set up the liquid chromatography-mass spectrometry system and enables PASEF method generation and evaluation for varied samples by using the py_diAID tool to optimally position isolation windows in the mass-to-charge and ion mobility space. Biological projects (e.g., triplicate proteome analysis in two conditions) can be performed in 3 d with ~3 h of hands-on time and minimal marginal cost. This results in reproducible quantification of 7,000 proteins in a human cancer cell line in quadruplicate 21-min injections and 29,000 phosphosites for phospho-enriched quadruplicates. Synchro-PASEF, a highly efficient, specific and novel scan mode, can be analyzed by Spectronaut or AlphaDIA, resulting in superior quantitative reproducibility because of its high sampling efficiency.

Indexed as

ProteomeProteomicsChromatography, LiquidHumansMass SpectrometryWorkflowProteome

Identifiers

What OpenQuestion holds

Textmetadata
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.