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Identification of MALDI Imaging Proteolytic Peptides Using LC-MS/MS-Based Biomarker Discovery Data: A Proof of Concept.

Authors :
Longuespée R
Ly A
Casadonte R
Schwamborn K
Kazdal D
Zgorzelski C
Bollwein C
Kriegsmann K
Weichert W
Kriegsmann J
Schirmacher P
Fresnais M
Oliveira C
Kriegsmann M
Source :
Proteomics. Clinical applications [Proteomics Clin Appl] 2019 Jan; Vol. 13 (1), pp. e1800158. Date of Electronic Publication: 2018 Dec 19.
Publication Year :
2019

Abstract

Purpose: Identification of proteolytic peptides from matrix-assisted laser desorption/ionization (MALDI) imaging remains a challenge. The low fragmentation yields obtained using in situ post source decay impairs identification. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) is an alternative to in situ MS/MS, but leads to multiple identification candidates for a given mass. The authors propose to use LC-MS/MS-based biomarker discovery results to reliably identify proteolytic peptides from MALDI imaging.<br />Experimental Design: The authors defined m/z values of interest for high grade squamous intraepithelial lesion (HSIL) by MALDI imaging. In parallel the authors used data from a biomarker discovery study to correlate m/z from MALDI imaging with masses of peptides identified by LC-MS/MS in HSIL. The authors neglected candidates that were not significantly more abundant in HSIL according to the biomarker discovery investigation.<br />Results: The authors assigned identifications to three m/z of interest. The number of possible identifiers for MALDI imaging m/z peaks using LC-MS/MS-based biomarker discovery studies was reduced by about tenfold compared using a single LC-MS/MS experiment. One peptide identification candidate was validated by immunohistochemistry.<br />Conclusion and Clinical Relevance: This concept combines LC-MS/MS-based quantitative proteomics with MALDI imaging and allows reliable peptide identification. Public datasets from LC-MS/MS biomarker discovery experiments will be useful to identify MALDI imaging m/z peaks.<br /> (© 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.)

Details

Language :
English
ISSN :
1862-8354
Volume :
13
Issue :
1
Database :
MEDLINE
Journal :
Proteomics. Clinical applications
Publication Type :
Academic Journal
Accession number :
30525291
Full Text :
https://doi.org/10.1002/prca.201800158