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Multicolumn Nanoflow Liquid Chromatography with Accelerated Offline Gradient Generation for Robust and Sensitive
Xiaofeng Xie1,2, Thy Truong1,2, Siqi Huang1
1Department of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, United States.
We developed a multicolumn nanoLC system for high-throughput proteomics, enabling rapid analysis of single cells. This robust system enhances sensitivity and reduces maintenance for complex peptide separations.
Area of Science:
- Proteomics
- Analytical Chemistry
- Biotechnology
Background:
- High sensitivity, robustness, peak capacity, and throughput are crucial for bottom-up proteomics, especially for analyzing small samples like single cells.
- Current methods face limitations in speed and maintenance when applied to complex proteomic analyses.
Purpose of the Study:
- To develop an advanced multicolumn nano liquid chromatography (nanoLC) system with offline gradient generation for enhanced proteomics.
- To improve the efficiency, robustness, and throughput of peptide separations for single-cell proteome analysis.
Main Methods:
- A multicolumn nanoLC system was designed with offline gradient generation using a binary pump supporting multiple analytical columns.
- A single trap column was implemented for reduced maintenance and simplified troubleshooting, interfacing with all analytical columns.
- Selective offline elution from the trap column into a sample loop was employed to protect analytical columns from contaminants.
Main Results:
- The system enables sample analysis as fast as every 20 minutes at 40 nL/min flow rate with near 100% mass spectrometry (MS) utilization.
- Continuous operation for months without column replacement was achieved, significantly enhancing column lifetime and system robustness.
- The system was successfully used to analyze proteomes of single cells from a multiple myeloma cell line treated with lenalidomide.
Conclusions:
- The developed multicolumn nanoLC system offers a highly sensitive, robust, and high-throughput solution for bottom-up proteomics.
- This technology significantly advances the capability to analyze complex proteomes from limited biological samples, such as single cells.
- The system's design facilitates parallel processing and extended operational stability, making it suitable for long-term proteomic studies.
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