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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
Published on: November 15, 2017
Liquid Chromatographic and Mass Spectrometric Methods for Quantitative Proteomic Analysis from Single-Cell and
Yuefan Wang1, Jongmin Woo1, Zhenyu Sun1
1Department of Pathology, Johns Hopkins University, Baltimore, Maryland 21231, United States.
This study optimizes liquid chromatography-mass spectrometry (LC-MS) for single-cell proteomics, enabling sensitive protein identification and quantification at picogram-to-nanogram levels. The enhanced methods successfully analyzed HeLa and PC3 cells, revealing proteome changes.
Area of Science:
- Proteomics
- Analytical Chemistry
- Biotechnology
Background:
- Liquid chromatography (LC) and mass spectrometry (MS) are essential for protein analysis.
- Advances in LC-MS enhance sensitivity for identifying and quantifying low-abundance proteins.
- Single-cell proteomics presents unique challenges due to limited sample amounts.
Purpose of the Study:
- To optimize LC-MS methods for sensitive protein identification and quantification in single-cell proteomics.
- To evaluate the sensitivity, reproducibility, and robustness of data-independent acquisition (DIA) for low-level protein analysis.
- To apply optimized methods for analyzing proteome changes in single cells.
Main Methods:
- Exploration of various LC conditions and MS platforms.
- Utilized data-independent acquisition (DIA) for comprehensive proteomic analysis.
- Applied optimized LC-MS/DIA methods to single HeLa and PC3 cells.
Main Results:
- Achieved identification and quantification of over 6300 proteins at the single-cell level with <20% coefficient of variation (CV).
- Detected up to 5000 proteins from isolated single HeLa cell samples.
- Revealed proteome alterations in docetaxel-treated versus non-treated PC3 cells at the single-cell level.
Conclusions:
- The optimized LC-MS/DIA approach provides a robust and sensitive platform for single-cell proteomics.
- This methodology enables deep proteome profiling from picogram-to-nanogram levels of proteins.
- The study offers a comprehensive technical evaluation for advancing single-cell proteomic applications.
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