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Updated: Mar 12, 2026

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
Published on: November 15, 2017
Efficient Exploitation of Separation Space in Two-Dimensional Liquid Chromatography System for Comprehensive and
Hangyeore Lee1, Dong-Gi Mun1, Jeong Eun So1
1Department of Chemistry, Research Institute for Natural Sciences, Korea University , Seoul 136-701, South Korea.
Researchers developed a new online 2D-RP/RPLC system for proteomics. This method enhances peptide identification and efficiency in complex proteome analysis.
Area of Science:
- Proteomics
- Analytical Chemistry
- Biochemistry
Background:
- Proteomics aims for comprehensive protein profiling to understand cellular functions and identify biomarkers.
- Current proteomic analyses require efficient and comprehensive methods for accurate results.
- Existing methods can be labor-intensive and lead to sample loss.
Purpose of the Study:
- To introduce a novel online two-dimensional reverse-phase/reverse-phase liquid chromatography (2D-RP/RPLC) separation platform.
- To improve the efficiency and comprehensiveness of bottom-up proteomics analyses.
- To increase the number of identified peptides from complex proteomes.
Main Methods:
- Development of a new online noncontiguous fractionating and concatenating (NCFC) device.
- Implementation of an online 2D-NCFC-RP/RPLC system for automated sample processing.
- Application of the system to bottom-up proteomics analyses of complex proteomes.
Main Results:
- The novel system significantly improved the exploitation of the 2D-RP separation space.
- A considerable increase in identified peptides was observed compared to contiguous 2D-RP/RPLC methods.
- The fully automated online system minimized sample loss and enhanced reproducibility.
Conclusions:
- The online 2D-NCFC-RP/RPLC system offers a more efficient and comprehensive approach to proteomics.
- This technology advances the identification of protein biomarkers and therapeutic targets.
- The automated platform streamlines proteomic workflows, reducing manual labor and sample loss.
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