Spatial Proteomics by Parallel Accumulation‐Serial Fragmentation Supported MALDI MS/MS Imaging: A First Glance Into Multiplexed and Spatial Peptide Identification

In this study, we present a novel pipeline, based on iprm-PASEF, that allows the multiplexed and spatial identification of tryptic peptides in MALDI imaging. Hence, it marks a first step towards the integration of MALDI imaging into the emerging field of spatial proteomics.

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Publication Details

Journal
Rapid Communications in Mass Spectrometry
Published
2025-02-05
DOI
https://doi.org/10.1002/rcm.10006
Citations
13
Primary Topic
Mass Spectrometry Techniques and Applications
Type
article
Field-Weighted Citation Impact
9.83

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article

Spatial Proteomics by Parallel Accumulation‐Serial Fragmentation Supported MALDI MS/MS Imaging: A First Glance Into Multiplexed and Spatial Peptide Identification

Jannik Witte, Nadine Meier, Mujia Li, Lotte Studsgaard Meyer et al.
13 citations
Rapid Communications in Mass Spectrometry
Mass Spectrometry Techniques and Applications
9.83
article

Spatial Proteomics by Parallel Accumulation‐Serial Fragmentation Supported MALDI MS/MS Imaging: A First Glance Into Multiplexed and Spatial Peptide Identification

Jannik Witte, Nadine Meier, Mujia Li, Lotte Studsgaard Meyer, Melanie Christine Föll, Oliver Schilling, Adrianna Seredynska, Julia Schueler, Maximilian Maldacker
article en
13 citations

Abstract

In this study, we present a novel pipeline, based on iprm-PASEF, that allows the multiplexed and spatial identification of tryptic peptides in MALDI imaging. Hence, it marks a first step towards the integration of MALDI imaging into the emerging field of spatial proteomics.

Rapid Communications in Mass SpectrometryVol. 39(9)
University of Freiburg (DE), German Cancer Research Center (DE), Heidelberg University (DE), University Medical Center Freiburg (DE), Charles River Laboratories (Germany) (DE)
Deutsche Forschungsgemeinschaft, Bundesministerium für Bildung und Forschung
Openalex Percentile: Top 1%
Mass Spectrometry Techniques and Applications
9.83
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