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Updated: May 29, 2025

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
Published on: November 15, 2017
Spatial Proteomics by Parallel Accumulation-Serial Fragmentation Supported MALDI MS/MS Imaging: A First Glance Into
Mujia Jenny Li1,2, Larissa Chiara Meyer1,3, Nadine Meier1
1Institute for Surgical Pathology, Faculty of Medicine, University Medical Centre Freiburg, University of Freiburg, Freiburg, Germany.
This study introduces multiplexed MALDI TIMS MS/MS imaging for spatial proteomics, enabling in situ peptide identification. This novel pipeline enhances tryptic peptide analysis in tissues.
Area of Science:
- Proteomics
- Mass Spectrometry Imaging
Background:
- Matrix-assisted laser desorption/ionization (MALDI) imaging offers rapid, cost-effective peptide measurements in spatial proteomics.
- In situ peptide identification remains a significant challenge in MALDI imaging.
Purpose of the Study:
- To integrate trapped ion mobility spectrometry (TIMS)-based parallel accumulation-serial fragmentation (PASEF) into MALDI imaging.
- To enable multiplexed MS/MS imaging for enhanced peptide identification.
Main Methods:
- Performed MALDI TIMS MS1 survey measurements.
- Generated precursor lists with mass over charge and ion mobility values.
- Utilized a dual TIMS system for precursor trapping, elution, and analysis in a quadrupole time-of-flight device.
- Enabled multiplexed MALDI MS/MS imaging and identified precursors via peptide-to-spectrum matching.
Main Results:
- Presented the first multiplexed MALDI TIMS MS/MS imaging (iprm-PASEF) of tryptic peptides.
- Demonstrated applicability on two distinct tissue specimens in four-plex and five-plex setups.
- Successfully identified precursors using MASCOT and corroborated findings with LC-MS/MS and fragment colocalization analyses.
Conclusions:
- Introduced a novel pipeline (iprm-PASEF) for multiplexed, spatial identification of tryptic peptides in MALDI imaging.
- This represents a significant advancement towards integrating MALDI imaging into spatial proteomics.
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