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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
Published on: November 15, 2017
HPLC-Chip/MS technology in proteomic profiling.
Martin Vollmer1, Tom van de Goor
1Agilent Technologies, Hewlett Packard-Strasse 8, 76337, Waldbronn, Germany. martin_vollmer@agilent.com
HPLC-chip/MS offers sensitive detection of complex proteomic mixtures using microfluidic separation. This technology enables detailed analysis of protein profiles, such as in human nucleoli.
Area of Science:
- Analytical Chemistry
- Biochemistry
- Proteomics
Background:
- High-performance liquid chromatography (HPLC) coupled with mass spectrometry (MS) is crucial for analyzing complex biological samples.
- Nanofluidic technologies offer enhanced separation efficiency and sensitivity for proteomics.
- Microfabricated chips provide integrated solutions for complex analytical workflows.
Purpose of the Study:
- To detail the methodology and functionality of HPLC-chip/MS.
- To demonstrate the application of HPLC-chip/MS in protein profile elucidation.
- To highlight the advantages of chip-based nano-LC-MS for proteomic analysis.
Main Methods:
- Utilized a microfabricated HPLC-chip integrated with MS detection for nanoflow analysis.
- Employed on-chip preconcentration and separation within a leak-tight fluidic system.
- Fabricated chips from bio-inert polyimide using laser ablation for integrated structures.
Main Results:
- Achieved highly efficient HPLC separation and sensitive MS detection of complex proteomic mixtures.
- Minimized precolumn and postcolumn peak dispersion, resulting in nanoliter elution volumes.
- Successfully applied the technology to elucidate the protein profile of human nucleoli.
Conclusions:
- HPLC-chip/MS represents a powerful nanoflow analytical technology for high-efficiency separation and sensitive detection.
- The technology offers a comprehensive solution for proteomics, glycomics, and biomarker discovery.
- Chip-based platforms are easily integrated into multidimensional separation workflows for complex challenges.
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