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Imaging of Biological Tissues by Desorption Electrospray Ionization Mass Spectrometry
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DESI Mass Spectrometry Imaging (MSI).

Emmanuelle Claude1, Emrys A Jones2, Steven D Pringle2

  • 1Waters Corporation, Stamford Avenue, Altrincham Road, Wilmslow, SK9 4AX, UK. emmanuelle_claude@waters.com.

Methods in Molecular Biology (Clifton, N.J.)
|May 20, 2017
PubMed
Summary

Desorption Electrospray Ionization (DESI) mass spectrometry enables direct chemical analysis of surfaces. This study optimized DESI imaging for analyzing metabolites and lipids in tissue sections using oa-TOF mass spectrometers.

Keywords:
DESIImagingLipidsMSMSI

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Area of Science:

  • Analytical Chemistry
  • Biochemistry
  • Molecular Imaging

Background:

  • Desorption Electrospray Ionization (DESI) mass spectrometry provides direct chemical analysis from surfaces.
  • DESI can be utilized in an imaging mode with a 2D stage for spatial chemical mapping.
  • Mass spectrometry (MS) is crucial for identifying and quantifying chemical compounds.

Purpose of the Study:

  • To implement and optimize Desorption Electrospray Ionization (DESI) mass spectrometry for imaging tissue sections.
  • To analyze the distribution of metabolites and lipids within tissue samples.
  • To enhance the capabilities of oa-TOF mass spectrometers for biological tissue analysis.

Main Methods:

  • Utilized a 2D stage for rastering the DESI spray across tissue sections.
  • Employed oa-TOF (orthogonal acceleration Time-of-Flight) mass spectrometers for data acquisition.
  • Optimized DESI parameters for efficient metabolite and lipid extraction and ionization from tissue.

Main Results:

  • Successfully implemented and optimized DESI imaging for tissue sections.
  • Acquired spatially resolved mass spectrometry data for metabolites and lipids.
  • Demonstrated the capability of the method for detailed chemical profiling of tissue.

Conclusions:

  • DESI imaging is a powerful technique for direct chemical analysis of metabolites and lipids in tissue.
  • The optimized method provides high-quality molecular information with spatial resolution.
  • This approach advances the field of molecular imaging in biological and medical research.