This protocol details the key steps to enable rigorous and reproducible measurement of both glycogen and N-linked glycans using mass spectrometry imaging.
Method Article
This protocol details the key steps to enable rigorous and reproducible measurement of both glycogen and N-linked glycans using mass spectrometry imaging.
The spatial organization of the glycome within tissues is key to the molecular basis for physiological function. The diverse and dynamic glycome is critical for fundamental cellular processes, including metabolism, signaling, and adhesion. Innovations in spatial biology have ushered in new avenues for spatial molecular imaging of diverse glycome classes. Here, we describe an optimized protocol for spatial biomolecular imaging of the glycome in fresh-frozen mouse liver. The workflow comprises (1) rapid harvesting and freezing, (2) cryostat sectioning at optimal thickness and position, (3) tissue preparation and on-tissue enzyme digestion using carbohydrate-active enzymes, (4) matrix application and data acquisition by matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI), and (5) data processing and visualization to place the findings in biological context. Use of this approach allows acquisition of detailed spatial maps of N-linked glycans and glycogen, revealing key physiological and cellular features. These data allow the definition of key spatial glycomic heterogeneity associated with liver function and dysfunction. This workflow enables highly reproducible and sensitive spatial glycomics of the mouse liver. Additionally, it is readily adaptable to other tissues or species, facilitating novel spatial insights into glycome biology in health and disease.
The field of spatial biology is rapidly expanding, providing critical insights into the dynamic spatial biomolecular complexity of living organisms. Multiple approaches are being employed to study distinct biomolecules in a biological context. While some are highly specialized techniques, mass spectrometry (MS) has emerged as an important general technique to quantify a wide range of biomolecules in the context of cells, tissues, or organisms.
Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging (MALDI-MSI) is one of the emerging general techniques for multiomic spatial biomolecule imaging. It was initially established for the visualization of proteins and peptides in tissue slices1. Since then, it has been extended to many diverse biological samples and molecules2. The technique can be applied to cellular samples3, organoids4, model animals5, and patient samples6,7. Some molecular classes can be directly measured using MSI-based approaches, including many metabolites and lipids, while other types of more complex biomolecules, such as proteins and glycans, require enzymatic or chemical treatment for them to be suitable for MSI-based detection2,8.
MALDI-MSI has also been applied to the spatial analysis of N-linked glycans and glycogen, utilizing workflows that require enzymatic processing to produce glycan fragments suitable for MSI detection9,10,11,12,13,14,15. N-glycans are cleaved from the asparagine residue of proteins with PNGase F, and glucose chains of glycogen are cleaved with isoamylase. Key advantages of the MALDI glycogen analysis are that it provides spatial definition of glycogen distribution in the biological sample, relative quantification, and information about the branching of the glucose chains. Because both N-glycan and glycogen workflows require enzymatic processing of the sample for MSI analysis, they have been combined into an integrated workflow for glycome analysis (Figure 1A). This workflow requires careful preparation of biological samples and specific processing to enable MS analysis of the glycome, followed by data acquisition and processing. While the workflow requires a series of specialized steps, it produces rich, high-quality spatial glycome data that is highly reproducible and can be adapted to many different types of samples16. Additionally, the workflow is modular, such that the sample processing steps can be performed by independent research laboratories before submission of the samples to specialized facilities that perform the latter steps of MALDI-MSI data acquisition and analysis.
This research was performed in compliance with the institutional animal care and use committee (IACUC) guidelines at the University of Florida. The reagents and the equipment used are listed in the Table of Materials.
1. Harvesting the liver
2: Preparation of a biological sample
3. Slide preparation for MSI of glycomics
4. MALDI-MSI glycomics data collection
5. MALDI-MSI data analysis
Careful processing of a liver from a wild-type mouse, including cutting a full transverse section (Figure 1A), allowed definition of the glycome by MALDI-MSI, with diverse glycogen-derived oligosaccharides and N-linked glycans over a range of m/z (Figure 1B). Glycogen was broadly localized throughout the liver hepatocytes and lacking in vessels and connective tissue in the portal tracts, as expected (Figure 1C,D). Importantly, the MALDI-MSI data allowed measurement of both the spatial distribution of glycogen as well as chain-length distribution, a key feature of glycogen in normal metabolism and disease states (Figure 1D). Additionally, diverse N-linked glycans exhibit diverse organizations. The observed spatial distribution ranges from widely distributed in hepatocytes (Figure 1E) to regional foci, consistent with the sinusoidal organization of the liver (Figure 1F), to specific labeling of portal tract elements (Figure 1G-I).

Figure 1: MALDI-MSI glycome analysis of mouse liver. (A) Schematic for critical methods in sample preparation, data acquisition, and analysis. (B) Sample mass spectra derived from the approach. Arrows in red demonstrate the regularly spaced oligosaccharides derived from glycogen, differing by one glucose monosaccharide. Arrows in blue denote N-glycans, which are found distributed throughout the spectra. In the liver, glycogen peaks are generally more prominent, especially at higher m/z values. (C) Spatial distribution of maltohexaose (DP6) derived from glycogen in the liver. (D) Distribution of glycogen chain lengths in the liver. (E-G) Spatial distribution of different N-linked glycan species in the liver. (H) Hematoxylin and Eosin (H&E) staining for a focused central region, along with anatomical annotations. (I) Corresponding focused inset showing the spatial localization of additional N-linked glycan (Hex5dHex1HexNAc5) in portal tract elements. Scale bars: 500 µm. Please click here to view a larger version of this figure.
MALDI-MSI is an emerging tool for glycome spatial biology. Importantly, while this protocol focuses on data collection using specific hardware, it can be readily adapted to MALDI-MSI platforms from multiple vendors13. Sample processing is identical up until method 4, although some vendors may require the use of specialized slides. Modifications of data collection, using parameters specific to the MALDI-MSI platform, enable rapid adaptation of this protocol. Vendor-specific software for data processing can be utilized, as detailed in step 5, or, alternatively, platforms for rigorous and reproducible MALDI-MSI data processing can be employed19.
MALDI-MSI is a particularly useful tool for understanding biology since different organs, tissues, and cells have different patterns for their glycome. Liver is well-suited for glycome analysis in that it has high levels of glycogen and diverse N-linked glycans13. Other organs have higher levels and diversity of N-linked glycans and lower levels of glycogen13. Importantly, the glycome varies in different organs depending on the metabolic and disease state of the organism, and so the glycome provides a rich source of biological information5,14,15,20. Continuing development of unique carbohydrate-active enzymes for MALDI-MSI analysis promises to extend glycome analysis to additional orthogonal biomolecules in the glycome.
While having many advantages, MALDI-MSI is currently limited in resolution compared to other tools utilized in spatial biology. This protocol utilized 50 µm resolution data collection. While excellent for physiological analysis, data at single-cell resolution would significantly advance the field21. In particular, delocalization can be a significant barrier to increased resolution in methodologies that utilize enzyme spraying and subsequent incubation in humid conditions. Recent advances in sample processing hardware, sample handling methodologies, data acquisition hardware, the use of selective labeling, and data processing are allowing MALDI-MSI data collection to approach cellular resolution22,23. However, there are tradeoffs between resolution and signal-to-noise and inherent limitations based on current sample preparation methods for MALDI that need to be considered. Very specific applications are already achieving the goal of single-cell-resolved MALDI-MSI using innovations in both sample processing24 and novel algorithms, suggesting general solutions to these problems are within reach25,26,27.
Following data collection, the slide can be stained via H&E for the purposes of histological annotation. However, cellular and tissue damage are associated with MALDI-MSI data collection, so this strategy limits the extent of cellular annotation. Alternatively, sequential tissue slices can be utilized for H&E. This strategy provides high-quality data, but requires alignment and integration of discrete sample cuts.
Of note, formalin-fixed paraffin-embedded (FFPE) tissues are very well suited for glycome analysis by MALDI-MSI with small changes in the protocol for sample preparation13. However, FFPE tissue cannot be effectively utilized for metabolomics and other similar analyses, so fresh-frozen samples, as detailed here, are preferred for multiomics approaches28. Sample preparation is a critical component of any MSI pipeline for labile biomolecules, which requires special approaches for harvesting and handling of samples17,29,30.
Methodologies to expand the generality and widespread utilization of MALDI-MSI-based approaches are rapidly progressing with dramatic improvements in hardware and software19. Additionally, recent cutting-edge multiomic28 and multimodal21 approaches combined with machine learning and artificial intelligence are particularly promising for handling these highly complex datasets31.
R.C.S., M.S.G., and C.W.V.K. are co-directors of the Center for Advanced Spatial Biomolecule Research (CASBR) at the University of Florida and are co-founders of Sugar3 LLC. R.C.S. has received research support and/or consultancy fees from Maze Therapeutics. M.S.G. has received research support, research compounds, or consultancy fees from Maze Therapeutics, Valerion Therapeutics, Ionis Pharmaceuticals, PTC Therapeutics, and Aro Biotherapeutics. M.S.G. is a member of the science advisory board for Chelsea's Hope, Glut1-Deficiency Syndrome Foundation, and the Adult Polyglucosan Body Disease Foundation.
We acknowledge members of the Vander Kooi, Sun, and Gentry laboratories for fruitful discussions. This study was supported by National Institutes of Health (NIH) grants to the Biospecimen Procurement & Translational Pathology Shared Resource Facility of the University of Kentucky Markey Cancer Center, P30CA177558 to D.B.A., R01AG066653, R01CA266004, R01AG078702, R01CA288696, RM1NS133593 to R.C.S., R35NS116824 to M.S.G., R01DC019054 to C.W.V.K., and the University of Florida College of Medicine.
| Name | Company | Catalog Number | Comments |
|---|---|---|---|
| Absorbent underpad | Denville Scientific | B1623 | |
| Acetonitrile (ACN) | Sigma-Aldrich | 34851-4X4L | |
| Aluminum foil | Fisher Scientific | 15078292 | |
| Citraconic anhydride | Sigma-Aldrich | 125318 | |
| Conical tube (15mL) | Alkali Scientific | CW5600 | |
| Coplin Jars | DWK Life Sciences | 900570 | |
| Cryostat | Leica | CM1860 | |
| Cryostat chuck | Leica | 14041926491 | |
| Desiccator | Bel Art | F424004131 | |
| Dialysis cup | Thermo Fisher | 88400 | |
| Ethanol | Fisher Scientific | 22032601 | |
| Food steamer | Rival | CKRVSTLM21 | |
| Glass insert (70 mm) | Gel Company | LGI50 | |
| Glycogen | Sigma-Aldrich | G8876 | Standard |
| Horseradish Peroxidase (HRP) | Sigma-Aldrich | P8125 | Standard |
| HPLC water | Sigma-Aldrich | 270733-4X4L | |
| HTX Sprayer | HTX Technologies | M5 | |
| Hydrochloric acid | Fisher Scientific | A144-500 | |
| Isoamylase | Megazyme | E-ISAMY | |
| Knauer pump | Knauer | P 4.1 S | |
| Low-profile blade | Electron Microscopy Sciences | 63059-01 | |
| M1 mounting media | Epredia | 1310 | |
| Mass Spectrometer | Bruker Daltonics | timsTOF fleX | |
| Microfuge tube (1.5mL) | Alkali Scientific | CN3016 | |
| Needle | BD | 305109 | |
| Neutral buffered formalin NBF | Millipore sigma | HT501128-4L | |
| Nitrogen Gas | Airgas | NIUHP300 | |
| PBS | Fisher Scientific | SH30256.FS | |
| PCR tubes | MedSupply Partners | 62-1091-1 | |
| PNGase F PRIME-LY ULTRA | Bulldog Bio | NZPULT10LY | |
| SCiLS Lab | Bruker Daltonics | 1889000 | |
| Shaker | Thermo Scientific | 88882007 | |
| Slide | Electron Microscope Sciences | 71873-02 | |
| Slide mailer | RPI products | 212620A | |
| Sonicater (Bioruptor Pico) | Diagenode | B01080010 | |
| Sterile Forceps | DR Instruments | S08098 | |
| Sterile Scalpel | WPI | WPI-500240 | |
| Steriles Scissors | Fine Science Tools | 14084-08 | |
| Syringe | Grainger | 19G342 | |
| Syringe pump | New Era | NE-300 | |
| Tape | Fisher Scientific | 15-901-R | |
| Thin paintbrush | Anezus | #00 | |
| Trifluoroacetic acid | Sigma-Aldrich | T6508-1L | |
| Tune Mix, ESI low concentration | Agilent | G1969-85000 | |
| Weight boats | Sigma-Aldrich | HS120882 | |
| Xylene | Sigma-Aldrich | 534056 | |
| α-cyano-4-hydroxycinnamic acid (CHCA) | Cayman Chemical Company | 15254 |