Comparison of In‐Gel and SP3 Based Sample Preparation Protocols for LC‐MS/MS Based Proteomics

Sensitivity, robustness, and reproducibility of sample preparation are main determinants of data quality in bottom-up mass spectrometry-based proteomics. To this end, in-gel protein clean-up and digestion has been used for decades and is characterized by its robustness and compatibility with harsh lysis conditions. Single-pot solid-phase-enhanced sample preparation (SP3) has gained substantial popularity recently and has been widely adapted as a standard workflow often replacing in-gel digestion-based workflows. Noteworthy, until today no direct comparison between the two workflows has been conducted. Here, we performed a systematic comparison of in-gel and SP3 based sample preparation workflows assessing sensitivity, robustness, reproducibility, and fractionation possibilities on human cellular lysates and blood plasma. Both methods performed similarly regarding number of identified proteins, however, showed specific biases. SP3 outperformed the in-gel workflow regarding higher sensitivity when handling limited sample amounts, especially below 5 µg of input material. In contrast, in-gel sample preparation was superior in the identification of low molecular weight proteins. In conclusion, while SP3 is indeed the state-of-the-art proteomics sample preparation method, in-gel digestion can deliver competitive and complementary results and still has advantages in some applications, such as measurement of small proteins or when there is a need for protein-level separation, e. g. in plasma samples.

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Publication Details

Journal
PROTEOMICS
Published
2026-03-29
DOI
https://doi.org/10.1002/pmic.70123
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
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article

Comparison of In‐Gel and SP3 Based Sample Preparation Protocols for LC‐MS/MS Based Proteomics

Piotr K. Zadora, Dominic Helm, Dario L. Frey, Luisa Schwarzmüller et al.
PROTEOMICS
Advanced Proteomics Techniques and Applications
article

Comparison of In‐Gel and SP3 Based Sample Preparation Protocols for LC‐MS/MS Based Proteomics

Piotr K. Zadora, Dominic Helm, Dario L. Frey, Luisa Schwarzmüller, Martin Schneider, Stefan Wiemann
article en

Abstract

Sensitivity, robustness, and reproducibility of sample preparation are main determinants of data quality in bottom-up mass spectrometry-based proteomics. To this end, in-gel protein clean-up and digestion has been used for decades and is characterized by its robustness and compatibility with harsh lysis conditions. Single-pot solid-phase-enhanced sample preparation (SP3) has gained substantial popularity recently and has been widely adapted as a standard workflow often replacing in-gel digestion-based workflows. Noteworthy, until today no direct comparison between the two workflows has been conducted. Here, we performed a systematic comparison of in-gel and SP3 based sample preparation workflows assessing sensitivity, robustness, reproducibility, and fractionation possibilities on human cellular lysates and blood plasma. Both methods performed similarly regarding number of identified proteins, however, showed specific biases. SP3 outperformed the in-gel workflow regarding higher sensitivity when handling limited sample amounts, especially below 5 µg of input material. In contrast, in-gel sample preparation was superior in the identification of low molecular weight proteins. In conclusion, while SP3 is indeed the state-of-the-art proteomics sample preparation method, in-gel digestion can deliver competitive and complementary results and still has advantages in some applications, such as measurement of small proteins or when there is a need for protein-level separation, e. g. in plasma samples.

PROTEOMICS
The University of Texas MD Anderson Cancer Center (US), German Cancer Research Center (DE), Heidelberg University (DE), Heidelberg University (US)
Openalex Percentile: Top 4%
Advanced Proteomics Techniques and Applications
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Comparison of In‐Gel and SP3 Based Sample Preparation Protocols for LC‐MS/MS Based Proteomics — Piotr K. Zadora, Dominic Helm, et al. · PROTEOMICS (2026) | TGRS Research Map | TGRS