Related Experiment Video
Updated: Apr 5, 2026

14:51
Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples
Published on: November 13, 2021
6.3K
Minimizing technical variation during sample preparation prior to label-free quantitative mass spectrometry
E Scheerlinck1, M Dhaenens1, A Van Soom2
1Laboratory for Pharmaceutical Biotechnology, Ghent University, B-9000 Ghent, Belgium.
Analytical Biochemistry
|August 25, 2015
Summary
This study presents a reproducible mass spectrometry sample preparation method using sodium deoxycholate (SDC). This approach enhances protein yield and avoids interfering substances for accurate quantitative proteomics.
Area of Science:
- Proteomics
- Analytical Chemistry
- Biochemistry
Background:
- Sample preparation is critical for high-quality mass spectrometry data in bottom-up proteomics.
- Common reagents can inhibit digestion, cause ion suppression, or interfere with liquid chromatography-tandem mass spectrometry (LC-MS/MS).
- These issues complicate reproducible quantitative proteomics, especially with label-free methods like HDMS(E) and SWATH.
Purpose of the Study:
- To validate a reproducible sample preparation method for proteomics.
- To ensure sufficient protein yield without LC-MS/MS interfering substances.
- To address challenges in quantitative proteomics, particularly label-free quantification.
Main Methods:
- Detailed validation of a novel sample preparation protocol.
- Utilized 1% sodium deoxycholate (SDC) for both cell lysis and in-solution digestion.
- Focused on minimizing interfering substances and maximizing protein yield.
Main Results:
- The validated method provides reproducible results with sufficient protein yield.
- The use of SDC avoids common interfering substances problematic for LC-MS/MS.
- The method is suitable for quantitative proteomics, including HDMS(E) and SWATH.
Conclusions:
- A reproducible and efficient sample preparation method using SDC has been validated.
- This method overcomes limitations of traditional reagents, improving quantitative proteomics accuracy.
- The SDC-based approach is recommended for label-free quantitative proteomics workflows.

