Abstract
N-glycans and lipids are structural metabolites that play important roles in cellular processes. Both show unique regional distribution in tissues; therefore, spatial analyses of these metabolites are crucial to our understanding of cellular physiology. Matrix-assisted laser desorption/ionization-mass spectrometry imaging (MALDI-MSI) is an innovative technique that enables in situ detection of analytes with spatial distribution. This workflow details a MALDI-MSI protocol for the spatial profiling of N-glycans and lipids from tissues following application of enzyme and MALDI matrix.
For complete details on the use and execution of this protocol, please refer to Drake et al. (2018) and Andres et al. (2020).
Document Type
Article
Publication Date
1-29-2021
Digital Object Identifier (DOI)
https://doi.org/10.1016/j.xpro.2021.100304
Funding Information
This study was supported by NIH grant R01 AG066653, St. Baldrick’s Career Development Award, Rally Foundation Independent Investigator Grant, and V-foundation Grant to R.C.S., and NIH Training Grant T32CA165990 to L.R.C. This research was also supported by funding from the University of Kentucky Markey Cancer Center and the NIH-funded Biospecimen Procurement & Translational Pathology Shared Resource Facility, as well as the Cancer Research Informatics Shared Resource Facility of the University of Kentucky Markey Cancer Center P30CA177558.
Repository Citation
Stanback, Alexandra E.; Conroy, Lindsey R.; Young, Lyndsay E. A.; Hawkinson, Tara R.; Markussen, Kia H.; Clarke, Harrison A.; Allison, Derek B.; and Sun, Ramon C., "Regional N-Glycan and Lipid Analysis from Tissues Using MALDI-Mass Spectrometry Imaging" (2021). Neuroscience Faculty Publications. 73.
https://uknowledge.uky.edu/neurobio_facpub/73
Graphical abstract
Included in
Biochemistry, Biophysics, and Structural Biology Commons, Neuroscience and Neurobiology Commons, Pathology Commons
Notes/Citation Information
Published in STAR Protocols, v. 2, issue 1.
© 2021 The Author(s)
This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/).