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Proteomic Sample Preparation through Extraction by Unspecific Adsorption on Silica Beads for ArgC-like Digestion
Yannik Lewin1, Moritz Neupärtl1, Vahid Golghalyani1,2
1Institute of Pharmaceutical Chemistry , Goethe-University , Frankfurt am Main 60438 , Germany.
Journal of Proteome Research
|January 31, 2019
Summary
A new adsorption-based protocol (ABP) simplifies protein sample preparation for mass spectrometry. This method enhances protein identification and coverage, offering a versatile alternative to traditional techniques.
Area of Science:
- Proteomics
- Analytical Chemistry
- Biochemistry
Background:
- Traditional mass spectrometry sample preparation is complex, time-consuming, and prone to sample loss.
- Existing methods like acetone precipitation/in-solution digestion (AP/IS) and filter-aided sample preparation (FASP) have limitations in capacity and efficiency.
Purpose of the Study:
- To develop a streamlined, versatile protein extraction protocol for mass spectrometry-based proteomics.
- To improve protein identification yields and proteome coverage compared to established methods.
Main Methods:
- Introduction of a lean adsorption-based protocol (ABP) for protein extraction from cell lysates.
- Adaptation of the protocol for sample modification under harsh chemical conditions (organic solvents, high salt, low pH).
- Comparison of ABP with AP/IS and FASP, including combination with ArgC-like digestion.
Main Results:
- ABP offers high versatility and significantly reduces preparation steps.
- Protein identification increased by 18.27% (5386 unique proteins) when ABP was combined with ArgC-like digestion compared to tryptic digestion (4554).
- Improved identification of membrane proteins and histones, reduced spectra complexity, and enhanced fragmentation and intensity coverage were observed.
Conclusions:
- The adsorption-based protocol (ABP) provides a more efficient and comprehensive approach to mass spectrometry sample preparation.
- ABP is a valuable complementary method that enhances proteome coverage and simplifies workflows.
- This method facilitates deeper proteomic insights, particularly for challenging protein classes.
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