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Updated: Mar 21, 2026

Imaging of Biological Tissues by Desorption Electrospray Ionization Mass Spectrometry
Published on: July 12, 2013
Mapping the Spatial Distribution of Tryptic Peptides in Formalin-Fixed Paraffin-Embedded Tissues Using Desorption
Chih-Hsiang Chen1, Hsin-Hsiang Chung1, Yi-Fang Lai2,3
1Department of Chemistry, National Taiwan University, Taipei 10617, Taiwan.
Desorption electrospray ionization-mass spectrometry imaging (DESI-MSI) can now analyze formalin-fixed paraffin-embedded (FFPE) tissues, expanding spatial proteomics to archived clinical samples. This advancement enables new discoveries in disease pathology and biomarker identification.
Area of Science:
- Proteomics
- Mass Spectrometry Imaging
- Biomarker Discovery
Background:
- Spatial proteomics provides insights into cellular environments and disease pathology.
- Matrix-assisted laser desorption/ionization (MALDI)-MSI is a common tool, but desorption electrospray ionization-mass spectrometry imaging (DESI-MSI) offers complementary protein detection.
- DESI-MSI has been limited to fresh-frozen tissues, excluding widely available formalin-fixed paraffin-embedded (FFPE) clinical specimens.
Purpose of the Study:
- To optimize and apply DESI-MSI for spatial proteomic analysis of FFPE tissues.
- To enhance tryptic peptide detection in FFPE samples through optimized pretreatment and DESI parameters.
- To explore the potential of DESI-MSI for biomarker discovery in archived clinical specimens.
Main Methods:
- Systematic optimization of sample pretreatment and DESI-MSI parameters using FFPE mouse brain tissue.
- Application of the optimized workflow to FFPE canine melanocytoma tissue.
- Protein identification using nano liquid chromatography-tandem mass spectrometry (nanoLC-MS/MS).
Main Results:
- Successful optimization of DESI-MSI for FFPE tissue analysis, improving peptide detection.
- Demonstration of DESI-MSI's capability to perform spatial proteomic analysis on FFPE samples.
- Identification of potential protein biomarkers in FFPE canine melanocytoma tissue.
Conclusions:
- DESI-MSI is a viable platform for spatial proteomic analysis of FFPE tissues.
- This method expands the utility of spatial proteomics to FFPE tissues, including archived clinical specimens.
- DESI-MSI holds promise for advancing biomarker discovery and understanding disease mechanisms in clinical samples.
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