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Updated: Jan 26, 2026

Large-scale Top-down Proteomics Using Capillary Zone Electrophoresis Tandem Mass Spectrometry
Published on: October 24, 2018
Evosep One Enables Robust Deep Proteome Coverage Using Tandem Mass Tags while Significantly Reducing Instrument Time
Jonathan R Krieger, Leanne E Wybenga-Groot, Jiefei Tong
1Evosep Biosystems , 5000 Odense , Denmark.
High-throughput proteomics is now achievable with the Evosep One system, enabling deep proteome coverage for nonsmall cell lung carcinoma patient samples. This method significantly reduces mass spectrometry time without compromising protein identification depth.
Area of Science:
- Proteomics
- Mass Spectrometry
- Cancer Research
Background:
- Optimizing proteome analysis time and depth is a key challenge in proteomics.
- Multidimensional fractionation enhances proteome coverage but increases analysis time.
- Recent advances include high-throughput liquid chromatography systems like Evosep One.
Purpose of the Study:
- To integrate Evosep One technology into a multiplexing workflow for analyzing tandem mass tag (TMT)-labeled nonsmall cell lung carcinoma (NSCLC) patient-derived xenografts (PDXs).
- To evaluate the efficiency and depth of proteome coverage using the Evosep One system compared to conventional methods.
Main Methods:
- Incorporation of the Evosep One liquid chromatography system into a multiplexing workflow.
- Analysis of TMT-labeled NSCLC patient-derived xenografts (PDXs).
- Comparison with a conventional concatenated EASY-nLC workflow.
Main Results:
- A 30 samples per day Evosep workflow identified >12,000 proteins in 48 hours of mass spectrometry time.
- This protein identification depth is comparable to 60 hours using the conventional EASY-nLC workflow.
- Shorter Evosep gradients reduced analysis time by 50% with only a 10% decrease in protein identifications.
Conclusions:
- The Evosep One workflow enables high-throughput quantitative proteomic analysis of multiplexed samples.
- This approach significantly reduces mass spectrometry time without sacrificing proteome coverage depth.
- This technology facilitates more efficient analysis of complex biological samples like PDXs for cancer research.
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