» Articles » PMID: 36797298

Optimized Protocol for MALDI MSI of N-glycans Using an On-tissue Digestion in Fresh Frozen Tissue Sections

Overview
Journal Sci Rep
Specialty Science
Date 2023 Feb 16
PMID 36797298
Authors
Affiliations
Soon will be listed here.
Abstract

Glycans play an important role in biology with multiple cellular functions ranging from cell signaling, mobility and growth to protein folding and localization. The N-glycosylation state within a tissue has been found to vary greatly between healthy and diseased patients and has proven to have an important clinical diagnostic value. Matrix assisted laser-desorption ionization (MALDI) mass spectrometry imaging (MSI) allows for untargeted analysis of biomolecules, including N-glycans, on a tissue section and provides a spatial context of the analyte. Until now, N-glycans have been predominantly analyzed using MALDI MSI on formalin-fixed paraffin embedded (FFPE) tissue sections, however this greatly reduces the clinical applicability, as the FFPE embedding process alters the biological environment of the tissue. Here we developed a protocol that allows for MALDI MSI of N-glycans from fresh frozen tissue that matches the current standard of FFPE analysis. By optimizing several steps in the sample preparation, we see orders of magnitude increase in signal intensity. Furthermore, this method limits delocalization of released N-glycans, thus improving the effective spatial resolution of the label-free molecular images. This protocol provides a novel perspective towards clinical application of MALDI MSI and capitalizes on the diagnostic value of N-glycan analysis.

Citing Articles

Molecular Profiling of Glioblastoma Patient-Derived Single Cells Using Combined MALDI-MSI and MALDI-IHC.

Krestensen K, Hendriks T, Grgic A, Derweduwe M, De Smet F, Heeren R Anal Chem. 2025; 97(7):3846-3854.

PMID: 39932302 PMC: 11866282. DOI: 10.1021/acs.analchem.4c03821.


Spatial-Omics Methods and Applications.

Kulasinghe A, Berrell N, Donovan M, Nilges B Methods Mol Biol. 2025; 2880:101-146.

PMID: 39900756 DOI: 10.1007/978-1-0716-4276-4_5.


Mass Spectrometry-Based Glycomics and Proteomics Profiling of On-Slide Digested Tissue from Complex Biological Samples.

Chatterjee S, Zaia J, Sethi M Methods Mol Biol. 2024; 2884:279-303.

PMID: 39716010 DOI: 10.1007/978-1-0716-4298-6_18.


Non-targeted N-glycome profiling reveals multiple layers of organ-specific diversity in mice.

Helm J, Mereiter S, Oliveira T, Gattinger A, Markovitz D, Penninger J Nat Commun. 2024; 15(1):9725.

PMID: 39521793 PMC: 11550822. DOI: 10.1038/s41467-024-54134-z.


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

Grgic A, Cuypers E, Dubois L, Ellis S, Heeren R J Proteome Res. 2024; 23(12):5372-5379.

PMID: 39447324 PMC: 11629377. DOI: 10.1021/acs.jproteome.4c00528.


References
1.
Patterson M . Metabolic mimics: the disorders of N-linked glycosylation. Semin Pediatr Neurol. 2006; 12(3):144-51. DOI: 10.1016/j.spen.2005.10.002. View

2.
Velickovic D, Sharma K, Alexandrov T, Hodgin J, Anderton C . Controlled Humidity Levels for Fine Spatial Detail Information in Enzyme-Assisted -Glycan MALDI MSI. J Am Soc Mass Spectrom. 2022; 33(8):1577-1580. DOI: 10.1021/jasms.2c00120. View

3.
Briggs M, Condina M, Ho Y, Everest-Dass A, Mittal P, Kaur G . MALDI Mass Spectrometry Imaging of Early- and Late-Stage Serous Ovarian Cancer Tissue Reveals Stage-Specific N-Glycans. Proteomics. 2019; 19(21-22):e1800482. DOI: 10.1002/pmic.201800482. View

4.
Buchberger A, DeLaney K, Johnson J, Li L . Mass Spectrometry Imaging: A Review of Emerging Advancements and Future Insights. Anal Chem. 2017; 90(1):240-265. PMC: 5959842. DOI: 10.1021/acs.analchem.7b04733. View

5.
Strohalm M, Hassman M, Kosata B, Kodicek M . mMass data miner: an open source alternative for mass spectrometric data analysis. Rapid Commun Mass Spectrom. 2008; 22(6):905-8. DOI: 10.1002/rcm.3444. View