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Updated: Apr 29, 2026

09:20
Proteomic Sample Preparation from Formalin Fixed and Paraffin Embedded Tissue
Published on: September 2, 2013
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Simple, Fast, and Highly Efficient One- or Two-Step Proteomic Preparation Enables Deep Profiling of Microgram-Level
Chuping Wei1,2, Qiuxia Zhang2, Changying Fu3
1Department of Chemistry, College of Science, Southern University of Science and Technology, Shenzhen 518055, China.
Analytical Chemistry
|April 28, 2026
Summary
A new Simple Workflow for Integrated and Fast Tissue-preparation (SWIFT) enables rapid, repeatable deep tissue proteomics from fresh-frozen and FFPE samples. This method streamlines sample processing for large-scale clinical studies.
Area of Science:
- Biochemistry
- Proteomics
- Analytical Chemistry
Background:
- Large-scale tissue proteomics demands efficient, rapid, and repeatable workflows.
- Existing methods often face challenges with diverse sample types like fresh-frozen (FF) and formalin-fixed, paraffin-embedded (FFPE) tissues.
- Deep proteome coverage and high repeatability are crucial for translational research.
Purpose of the Study:
- To develop and present a Simple Workflow for Integrated and Fast Tissue-preparation (SWIFT).
- To enable efficient and rapid processing of both FF and FFPE tissues for deep proteomics.
- To demonstrate high repeatability and broad applicability across various tissue types and sample amounts.
Main Methods:
- SWIFT integrates lysis, reduction, alkylation, and digestion for FF tissues in ≤1.5 hours.
- FFPE tissues undergo concurrent deparaffinization, rehydration, and de-cross-linking in 0.5 hours, followed by one-step peptide preparation.
- The workflow eliminates desalting and offline cleanup steps to reduce variability and processing time.
Main Results:
- Identified up to ~10,000 protein groups and ~150,000 peptides across mouse organs using timsTOF Pro.
- Achieved high repeatability (pairwise Pearson's r > 0.96) across six replicates with 6-7 orders of magnitude dynamic range.
- Revealed preservation-induced proteome shifts, with FFPE tissues showing reduced detection of membrane and respiratory proteins.
Conclusions:
- SWIFT provides a fast, simplified, and repeatable approach for deep tissue proteomics.
- The workflow is cost-effective and accessible for large-scale clinical and translational studies.
- Enables comprehensive proteome analysis from low- to microgram-level tissue samples.

