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Updated: Jan 23, 2026

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Published on: June 25, 2020
Automated Nanoflow Two-Dimensional Reversed-Phase Liquid Chromatography System Enables In-Depth Proteome and
Maowei Dou1, Chia-Feng Tsai2, Paul D Piehowski2
1Environmental Molecular Sciences Laboratory , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States.
The new nanoFAC platform enables deep proteome profiling using minimal protein samples. This nanoflow 2D RPLC system significantly improves sample recovery and protein identification from nanogram quantities.
Area of Science:
- Proteomics
- Analytical Chemistry
- Biochemistry
Background:
- Two-dimensional reversed-phase capillary liquid chromatography (2D RPLC) is crucial for comprehensive proteome profiling.
- Traditional methods require milligram protein quantities, limiting analysis of small samples.
- Significant sample losses occur during offline fractionation in conventional 2D RPLC.
Purpose of the Study:
- To develop a novel nanoflow 2D RPLC platform for in-depth proteomic analysis of limited samples.
- To overcome the high sample input requirement of existing proteomic techniques.
- To enhance sample recovery and identification efficiency in 2D RPLC.
Main Methods:
- Developed the nanoFAC (nanoflow Fractionation and Automated Concatenation) platform.
- Utilized a 75-μm i.d. capillary column for high-pH first-dimension fractionation at 300 nL/min.
- Employed automated fraction concatenation, a polypropylene 96-well plate, and 0.01% n-Dodecyl β-d-maltoside for improved recovery.
Main Results:
- nanoFAC achieved confident identification of 49,000-94,000 unique peptides (6,700-8,300 protein groups) from 100-1000 ng of HeLa tryptic digest.
- Demonstrated successful proteomic analysis equivalent to 500-5,000 cells.
- Integrated phosphopeptide enrichment identified ~20,000 phosphopeptides from 100 μg of MCF-7 cell lysate.
Conclusions:
- The nanoFAC 2D RPLC platform enables deep proteomic and phosphoproteomic analysis of minute biological samples.
- This technology significantly reduces sample input requirements compared to conventional methods.
- nanoFAC offers a powerful tool for studying biological systems with limited sample availability.
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