Related Experiment Video
Updated: Aug 29, 2025

10:37
Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
Published on: November 15, 2017
12.1K
Deep Single-Shot NanoLC-MS Proteome Profiling with a 1500 Bar UHPLC System, Long Fully Porous Columns, and HRAM MS
Runsheng Zheng1, Karel Stejskal2,3,4, Christopher Pynn1
1Thermo Fisher Scientific, Dornierstrasse 4, 82110 Germering, Germany.
Journal of Proteome Research
|September 6, 2022
Summary
Ultrahigh-performance liquid chromatography (UHPLC) coupled with mass spectrometry enhances bottom-up proteomics. This advanced nanoLC-MS method identifies over 7000 proteins in single-shot experiments, improving large-scale discovery studies.
Area of Science:
- Proteomics
- Analytical Chemistry
- Biochemistry
Background:
- Bottom-up proteomics analysis using nanoflow liquid chromatography-mass spectrometry (nanoLC-MS) is crucial for deep proteome profiling.
- Existing nanoLC-MS methods face limitations in throughput and the number of protein identifications per experiment.
Purpose of the Study:
- To demonstrate the integration of ultrahigh-performance liquid chromatography (UHPLC) with high-resolution accurate-mass (HRAM) mass spectrometry (MS) for improved bottom-up proteomics.
- To leverage UHPLC's high back pressure capabilities for enhanced nanoLC-MS performance.
Main Methods:
- Utilized UHPLC technology with long columns (75 cm) packed with 2 µm fully porous particles.
- Employed a constant pressure pump operation at 1500 bar to enable various flow rates (300 nL/min, elevated, and reduced).
- Integrated HRAM mass spectrometry for sensitive and accurate peptide and protein identification.
Main Results:
- Achieved routine proteome profiling and precise quantification of over 7000 proteins in single-shot nanoLC-MS experiments.
- Demonstrated reduced sample loading, washing, and equilibration times, maximizing mass spectrometry utilization.
- Showcased the ability to optimize flow rates for balancing sensitivity, throughput, and sample loading.
Conclusions:
- The combination of UHPLC, HRAM-MS, and long columns significantly enhances bottom-up proteomics analysis.
- This approach enables deeper proteome profiling and precise quantification, facilitating large-scale discovery studies.
- Optimized nanoLC-MS workflows offer greater efficiency and a higher number of protein identifications.

