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Related Concept Videos

Proteomics01:33

Proteomics

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A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
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Related Experiment Video

Updated: Jun 9, 2025

Fluorescence-Guided Matrix-assisted Laser Desorption/Ionization with Laser-Induced Postionization Mass Spectrometry of Individual Rat Neural Cells
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Fluorescence-Guided Matrix-assisted Laser Desorption/Ionization with Laser-Induced Postionization Mass Spectrometry of Individual Rat Neural Cells

Published on: May 23, 2025

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MALDI MSI Protocol for Spatial Bottom-Up Proteomics at Single-Cell Resolution.

Andrej Grgic1, Eva Cuypers1, Ludwig J Dubois2

  • 1The Maastricht MultiModal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry (IMS), Maastricht University, 6229 ER Maastricht, The Netherlands.

Journal of Proteome Research
|October 24, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a new protocol for matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) to analyze single cells. This method achieves high spatial resolution for bottom-up spatial proteomics, enabling detailed single-cell protein analysis.

Keywords:
MALDIMSIhigh spatial resolutionmass spectrometry imagingproteomicssingle-cell

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Area of Science:

  • Proteomics
  • Mass Spectrometry Imaging
  • Cell Biology

Background:

  • Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) has evolved for spatial mapping of peptides and proteins.
  • Existing bottom-up proteomics protocols face challenges in spatial resolution and sample preparation for single-cell analysis.

Purpose of the Study:

  • To develop and optimize a protocol for MALDI-MSI of single cells in 2D culture.
  • To achieve single-cell resolution for bottom-up spatial proteomics.

Main Methods:

  • Optimized sample preparation using CHCA sublimation and ammonium phosphate monobasic (AmP) dip.
  • MALDI-MSI measurements on single cells cultured on ITO slides.
  • Integration of MALDI-MSI data with liquid chromatography-tandem mass spectrometry (LC-MS/MS) data from cell pellets.

Main Results:

  • Achieved matrix crystal sizes around 400 nm, enabling high spatial resolution.
  • Detected 89 peptide-like features from a single MDA-MB-231 breast cancer cell.
  • Identified 24 peptides from 17 proteins, including actin and vimentin, by combining MALDI-MSI and LC-MS/MS data.

Conclusions:

  • The developed protocol enables high-throughput MALDI-MSI of single cells.
  • This workflow significantly advances bottom-up spatial proteomics at the single-cell level.
  • The method provides insights into protein distribution within individual cells.