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Matrix sublimation/recrystallization for imaging proteins by mass spectrometry at high spatial resolution
Junhai Yang1, Richard M Caprioli
1Department of Biochemistry, Vanderbilt University, Nashville, Tennessee 37235, United States.
Analytical Chemistry
|June 7, 2011
Summary
Matrix deposition by sublimation enhances protein imaging on tissue sections. This method improves sensitivity and spatial resolution for MALDI mass spectrometry, enabling histology-directed analysis on single sections.
Area of Science:
- Biochemistry
- Analytical Chemistry
- Proteomics
Background:
- Matrix-assisted laser desorption/ionization (MALDI) mass spectrometry (MS) is a powerful tool for molecular imaging.
- Analyzing protein distribution in tissue sections requires high spatial resolution and sensitivity.
Purpose of the Study:
- To optimize matrix deposition by sublimation for protein imaging on tissue sections.
- To improve the quality of MALDI mass spectra and spatial resolution of ion images.
- To enable histology-directed imaging on single tissue sections.
Main Methods:
- Employed matrix deposition by sublimation coupled with a hydration/recrystallization process.
- Investigated various washing protocols, tissue section thickness, matrix amount, and recrystallization conditions.
- Correlated MALDI MS ion images with hematoxylin and eosin (H&E) stained optical images.
Main Results:
- An organic solvent rinse followed by ethanol/water rinses significantly increased protein detection sensitivity.
- Optimal ranges for tissue section thickness and sinapinic acid sublimation amount were identified for maximal protein signal.
- Achieved high-spatial-resolution (down to 10 microm) ion images of mouse and rat brain sections.
Conclusions:
- Matrix deposition by sublimation is an effective method for high-quality protein imaging in tissue sections.
- The optimized protocol enhances sensitivity and spatial resolution for MALDI MS-based proteomics.
- Histology-directed imaging, combining MS analysis and H&E staining on the same section, is feasible.
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