Evidence map›Paper›PMID 41452136›Full record

ArticleProteomics2026

Performance Characteristics of Zeno Trap Scanning DIA for Sensitive and Quantitative Proteomics at High Throughput.

Ludwig R Sinn, Ziyue Wang, Claudia P Alvarez, Anjali Chelur, Ihor Batruch, Patrick Pribil, Daniela Ludwig, Stephen Tate, Jose Castro-Perez, Christoph B Messner and 2 more

Abstract read
In one paragraph

Article in Proteomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

12 authors.

Ludwig R SinnDepartment of Biochemistry, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Ziyue WangDepartment of Biochemistry, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Claudia P AlvarezSCIEX, Concord, Canada.
Anjali ChelurSCIEX, Concord, Canada.
Ihor BatruchSCIEX, Concord, Canada.
Patrick PribilSCIEX, Concord, Canada.
Daniela LudwigDepartment of Biochemistry, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Stephen TateSCIEX, Concord, Canada.
Jose Castro-PerezSCIEX, Concord, Canada.
Christoph B MessnerPrecision Proteomics Center, Swiss Institute of Allergy and Asthma Research (SIAF), University of Zurich, Davos, Switzerland.
Vadim DemichevDepartment of Biochemistry, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Markus RalserDepartment of Biochemistry, Charité - Universitätsmedizin Berlin, Berlin, Germany.

Funding

Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) 492697668Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) EXC3118/1-533770413European Research Council ERC-SyG-2020951475Ministry of Education and Research (BMBF), as part of the National Research Node "Mass Spectrometry in Systems Medicine" (MSCoreSys) 031L0220Ministry of Education and Research (BMBF), as part of the National Research Node "Mass Spectrometry in Systems Medicine" (MSCoreSys) 161L0221Precision Proteomics Center DavosSonderforschungsbereich (SFB) TRR 186Swiss canton of Grisons (Kanton Graubünden)
6 · The paper itself

Abstract

Proteomic experiments, particularly those addressing dynamic proteome properties, time series, or genetic diversity, require the analysis of large sample numbers. Despite significant advancements in proteomic technologies in recent years, further improvements are needed to accelerate measurement and enhance proteome coverage and quantitative performance. Previously, we demonstrated that incorporating a scanning MS2 dimension into data-independent acquisition (DIA) methods (Scanning SWATH, or more generally scanning DIA), but also ion trapping, improves analytical depth and quantitative performance, especially in proteomic methods using fast chromatography. Here, we evaluate the scanning DIA approach combined with ion trapping via the Zeno trap in a method termed ZT Scan DIA, using a ZenoTOF 7600+ instrument (SCIEX). Applying this method to established proteome standards across various analytical setups, enabling intermediate to high sample throughput, we observed a 30%-40% increase in identified precursors. This enhancement extended to overall protein identification and precise quantification. Furthermore, ZT Scan DIA effectively eliminated quantitative bias, as demonstrated by its ability to deconvolute proteomes in multi-species mixtures. We propose that ZT Scan DIA can be used for a broad range of applications in proteomics, particularly in studies requiring high quantitative precision with low sample input and high-throughput workflows.

Indexed as

High-Throughput Screening AssaysProteomeProteomicsTandem Mass SpectrometryProteomedata‐independent acquisitionhigh‐throughputmass spectrometryproteomicsSWATH

Identifiers

PMID41452136
PMCPMC12809002

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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.