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A Simple Fractionated Extraction Method for the Comprehensive Analysis of Metabolites, Lipids, and Proteins from a Single Sample
Published on: June 1, 2017
36.9K
Loss-less Nano-fractionator for High Sensitivity, High Coverage Proteomics.
Nils A Kulak1,2, Philipp E Geyer1,3, Matthias Mann4,3
1From the ‡Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.
Molecular & Cellular Proteomics : MCP
|January 28, 2017
Summary
A novel "spider fractionator" enables deep proteome coverage using mass spectrometry with minimal sample amounts. This technology facilitates rapid, automated, and in-depth proteomic characterization of cell lines.
Area of Science:
- Proteomics
- Analytical Chemistry
- Biochemistry
Background:
- Mass spectrometry (MS)-based proteomics enables deep cellular proteome coverage.
- Orthogonal peptide fractionation coupled with LC-MS/MS is powerful for identification and quantification.
- Traditional methods require milligram-scale peptide amounts and high flow rates.
Purpose of the Study:
- To introduce a novel "spider fractionator" for enhanced proteomic analysis.
- To demonstrate sensitive proteome characterization with reduced sample input.
- To enable rapid and automated in-depth proteomic profiling of multiple cell lines.
Main Methods:
- A nanobore chromatography system coupled to an eight-port flow-selector valve for automated fractionation.
- Loss-less sample concatenation into 2-96 fractions.
- Optimization of fractionation and LC-MS/MS gradient parameters for deep coverage.
Main Results:
- The spider fractionator achieved near-comprehensive proteome coverage with sub-microgram sample amounts.
- Quantification of close to 10,000 proteins was demonstrated.
- Automated characterization of 12 human cell lines revealed proteomic differences related to origin and differentiation, with a median depth of 11,472 proteins.
Conclusions:
- The spider fractionator is a flexible and user-friendly technology for comprehensive proteome characterization.
- It significantly reduces sample requirements for deep proteomic analysis.
- Enables rapid, automated, and in-depth profiling of complex biological samples like cell lines.

