Scanning DIA on the ZenoTOF 8600 system enables ultra-sensitive and quantitative proteomics from single cells to post-translational modifications in a compact platform

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Authors: Tim Heymann, Denys Oliinyk, Lukas T. Henneberg, Michal Lorenz, Nils Eikmeier, Marvin Thielert, Marc Oeller, Louisa Grauvogel, Cole S. Sitron, Bill Loyd, Yves J. C. Le Blanc, Nic Bloomfield
+9 more Ihor Batruch, Jason Causon, Anjali Chelur, Gordana Ivosev, Katherine Tran, Tatjana Talamantes, Bradley B. Schneider, Jose Castro-Perez, M. Mann
Cited by: 1
References: 23

Abstract

Abstract Mass spectrometry-based proteomics increasingly demands platforms that combine quantitative rigor with the discovery capabilities of accurate mass systems. Here we present the ZenoTOF 8600 system, a compact mass spectrometry system that integrates enhanced ion capture and transmission optics with an optical detection system, Zeno trap-enhanced MS/MS, electron-activated dissociation, and scanning quadrupole data-independent acquisition (ZT Scan DIA). We show that ZT Scan DIA outperforms conventional variable-window DIA (Zeno SWATH DIA) in both identifications and quantitative reproducibility, and demonstrate the platform’s versatility across proteomics applications: thousands of protein groups from bulk samples at up to 500 samples per day, single-cell proteomics yielding up to 4,700 proteins, accurate ratio recovery in mixed-species quantitative benchmarks, low-attomole targeted quantitation, and detection of disease-relevant phosphorylation in a Parkinson’s disease cellular model using complementary CID and EAD fragmentation. The instrument’s compact footprint makes it attractive for settings where both analytical breadth and operational robustness are required.

Fields of Study & Subjects

Advanced Proteomics Techniques and Applications Mass Spectrometry Techniques and Applications Metabolomics and Mass Spectrometry Studies

Publication details

Journal / source
bioRxiv (Cold Spring Harbor Laboratory)
Publisher
openRxiv
Publication date
13 March 2026
Document type
Preprint