Evidence map›Paper›PMID 42547506›Full record

ArticleNature communications2026

Systematic evaluation of PASEF acquisition strategies in complex metaproteomes.

Feng Xian, Goran Mitulovic, Ranjith Kumar Ravi Kumar, Lukas Uhrik, Elisabeth Urbauer, Doriane Aguanno, Dirk Haller, Manuela Schmidt, David Gomez-Varela

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Feng XianCenter of Excellence for Metaproteomics University of Vienna - Bruker Daltonics, University of Vienna, Vienna, Austria.ORCID 0000-0002-8345-0108
Goran MitulovicBruker Austria GmbH, Vienna, Austria.
Ranjith Kumar Ravi KumarSystems Biology of Pain, Division of Pharmacology & Toxicology, Department of Pharmaceutical Sciences, Faculty of Life Sciences, University of Vienna, Vienna, Austria.ORCID 0000-0003-2809-948X
Lukas UhrikCenter of Excellence for Metaproteomics University of Vienna - Bruker Daltonics, University of Vienna, Vienna, Austria.ORCID 0000-0002-6077-4249
Elisabeth UrbauerChair of Nutrition and Immunology, Technical University of Munich, Freising, Germany.ORCID 0009-0003-5704-3589
Doriane AguannoChair of Nutrition and Immunology, Technical University of Munich, Freising, Germany.
Dirk HallerChair of Nutrition and Immunology, Technical University of Munich, Freising, Germany.ORCID 0000-0002-6977-4085
Manuela SchmidtCenter of Excellence for Metaproteomics University of Vienna - Bruker Daltonics, University of Vienna, Vienna, Austria. manuela_schmidt@univie.ac.at.ORCID 0000-0003-1972-3519
David Gomez-VarelaCenter of Excellence for Metaproteomics University of Vienna - Bruker Daltonics, University of Vienna, Vienna, Austria. david.gomez.varela@univie.ac.at.ORCID 0000-0003-2502-9419

Funding

Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung) 10.55776/P35856Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung) 10.55776/P36554Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung) 10.55776/PAT2329024Deutsche Forschungsgemeinschaft (German Research Foundation) 395357507Deutsche Forschungsgemeinschaft (German Research Foundation) 469152594
6 · The paper itself

Abstract

Metaproteomics measures functional expression in complex microbial communities, but extreme sample complexity and dynamic range challenge acquisition strategies. Trapped ion mobility spectrometry with parallel accumulation-serial fragmentation (PASEF) has expanded into multiple acquisition modes, yet systematic evaluations in high-complexity metaproteomes remain limited. Here, we benchmark five PASEF modes-DDA-, DIA-, Slice-, Synchro-, and midia-PASEF-using a complex fecal peptide background spiked with defined bacterial references. Across three gradients and input levels, 540 LC-MS acquisitions are analyzed under matched conditions. Based on data-derived performance scores, DIA-based strategies outperform DDA-PASEF in peptide and protein coverage, particularly for low-abundance microbial features. DIA- and Slice-PASEF show strong quantitative reproducibility, reduced ratio compression, and consistent species-abundance scaling, while functional profiling reveals expanded annotation depth. When tested in a murine colonic injury model, the two highest-scoring methods, DIA- and Slice-PASEF, capture concordant host and microbial responses.

Indexed as

Mass SpectrometryProteomeProteomicsAnimalsBacterial ProteinsChromatography, LiquidFecesMicePeptidesReproducibility of ResultsBacterial ProteinsPeptidesProteome

Identifiers

PMID42547506
PMCPMC13434454

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.