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Updated: Aug 19, 2025

Large-scale Top-down Proteomics Using Capillary Zone Electrophoresis Tandem Mass Spectrometry
Published on: October 24, 2018
High-throughput proteomics of nanogram-scale samples with Zeno SWATH MS
Ziyue Wang1, Michael Mülleder2, Ihor Batruch3
1Department of Biochemistry, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Zeno SWATH MS enhances high-throughput proteomics by increasing protein identification sensitivity with low sample amounts. This data-independent acquisition method overcomes current limitations in proteomic experiments.
Area of Science:
- Proteomics
- Biomedical Research
- Analytical Chemistry
Background:
- High-throughput proteomic experiments are crucial for biomedical research, drug discovery, and systems biology.
- Current high-throughput methods often require large sample quantities and exhibit lower sensitivity.
- Existing limitations hinder the widespread application of high-throughput proteomics.
Purpose of the Study:
- Introduce and benchmark Zeno SWATH MS, a novel data-independent acquisition technique.
- Enhance sensitivity in high-throughput proteomic experiments.
- Enable sensitive proteomic analysis with reduced sample input.
Main Methods:
- Utilized Zeno SWATH MS, a technique incorporating linear ion trap pulsing (Zeno trap pulsing).
- Combined Zeno SWATH MS with fast micro-flow and analytical flow-rate chromatography.
- Benchmarked performance using varying sample loads and chromatography durations.
Main Results:
- Zeno SWATH MS significantly increased protein identification with low sample amounts.
- Identified over 5000 proteins consistently from 62.5 ng of human cell tryptic digest using 20 min micro-flow chromatography.
- Achieved identification of 4907 proteins from 2 µg and over 3000 proteins from 250 ng of human cell lysate using 5 min analytical flow chromatography.
Conclusions:
- Zeno SWATH MS effectively increases sensitivity in high-throughput proteomic experiments.
- The technique mitigates sample amount limitations in current proteomic workflows.
- Facilitates sensitive, high-throughput proteomic analyses crucial for various biomedical applications.
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