Files and links (1)
Accepted (AM)Open Access (License Unspecified), Open
Journal article
Matrix Assisted Laser Desorption Ionization Imaging Mass Spectrometry Workflow for Spatial Profiling Analysis of N-Linked Glycan Expression in Tissues
Analytical chemistry (Washington), v 85(20), pp 9799-9806
15 Oct 2013
PMID: 24050758
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
A new matrix assisted laser desorption ionization imaging mass spectrometry (MALDI-IMS) method to spatially profile the location and distribution of multiple N-linked glycan species in tissues is described. Application of an endoglycosidase, peptide N-glycosidase F (PNGaseF), directly on tissues followed by incubation releases N-linked glycan species amenable to detection by MALDI-IMS. The method has been designed to simultaneously profile the multiple glycan species released from intracellular organelle and cell surface glycoproteins, while maintaining histopathology compatible preparation workflows. A recombinant PNGaseF enzyme was sprayed uniformly across mouse brain tissue slides, incubated for 2 h, then sprayed with 2,5-dihydroxybenzoic acid matrix for MALDI-IMS analysis. Using this basic approach, global snapshots of major cellular N-linked glycoforms were detected, including their tissue localization and distribution, structure, and relative abundance. Off-tissue extraction and modification of glycans from similarly processed tissues and further mass spectrometry or HPLC analysis was done to assign structural designations. MALDI-IMS has primarily been utilized to spatially profile proteins, lipids, drug, and small molecule metabolites in tissues, but it has not been previously applied to N-linked glycan analysis. The translatable MALDI-IMS glycan profiling workflow described herein can readily be applied to any tissue type of interest. From a clinical diagnostics perspective, the ability to differentially profile N-glycans and correlate their molecular expression to histopathological changes can offer new approaches to identifying novel disease related targets for biomarker and therapeutic applications.
Metrics
Details
- Title
- Matrix Assisted Laser Desorption Ionization Imaging Mass Spectrometry Workflow for Spatial Profiling Analysis of N-Linked Glycan Expression in Tissues
- Creators
- Thomas W. Powers - Medical University of South CarolinaE. Ellen Jones - Medical University of South CarolinaLucy R. Betesh - Drexel UniversityPatrick R. Romano - Drexel UniversityPeng Gao - Medical University of South CarolinaJohn A. Copland - Mayo Clinic in FloridaAnand S. Mehta - Drexel UniversityRichard R. Drake - Medical University of South Carolina
- Publication Details
- Analytical chemistry (Washington), v 85(20), pp 9799-9806
- Publisher
- American Chemical Society; Washington, DC
- Number of pages
- 8
- Grant note
- R01 CA120206; U01 CA168856 / National Cancer Institute (NCI); United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI) R01CA104505; R01CA104505-05S1 / NIH/NCI; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI) Hepatitis B Foundation R01CA120206 / NATIONAL CANCER INSTITUTE; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI) state of South Carolina Smart State Endowed Research program R21CA137704; R01CA135087 / National Institutes of Health/National Cancer Institute; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI)
- Resource Type
- Journal article
- Language
- English
- Web of Science ID
- WOS:000326126600054
- Scopus ID
- 2-s2.0-84886893246
- Other Identifier
- 991019318925504721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Chemistry, Analytical