Here, we present a Mass Spectrometry Imaging protocol for sequential metabolite, N-linked glycan, and tryptic peptide detection in formalin-fixed, paraffin-embedded tissue samples.
Method Article
Here, we present a Mass Spectrometry Imaging protocol for sequential metabolite, N-linked glycan, and tryptic peptide detection in formalin-fixed, paraffin-embedded tissue samples.
Tissues are complex cellular environments, made up of a vast array of cell types and biomolecules all interacting with each other to carry out the functions of the organ. Traditionally, techniques for the analysis of biomolecules such as metabolites, glycans, and proteins involved the homogenization of tissue, destroying all spatial information. These traditional methods inhibited the complete understanding of complex intra- and extracellular molecular interactions. Mass Spectrometry Imaging (MSI), on the other hand, not only preserves the spatial information of biomolecules in tissue but also allows for multiple classes of analytes to be detected from the same tissue section through sequential analysis at a near-single-cell resolution. This enables us to derive a more complete picture of molecular interactions across different classes of biomolecules. The protocol presented here outlines the steps for performing mass spectrometry imaging of metabolites, N-linked glycans, and tryptic peptides sequentially from the same tissue section at a 20 µm resolution. Conscientious consideration of the order in which the classes of analytes are imaged, along with careful handling of the sections to ensure integrity, allows for multiple high-quality images to be collected from the same section. These data can subsequently be integrated with other spatial omics data (transcriptomics, immunohistochemistry, etc.) collected from serial sections, where the same cell can be analyzed in these adjacent sections.
Mass Spectrometry Imaging (MSI) is a powerful technique that allows for the detection and visualization of hundreds to thousands of biomolecules from thin tissue sections, without the need for a priori knowledge of the exact molecules present in the tissue, making it an excellent tool for biomarker discovery1. While several types of MSI are used by different labs, including Desorption ElectroSpray Ionization (DESI)2,3, Infrared Matrix Assisted Laser Desorption ElectroSpray Ionization (IR-MALDESI)4, and Secondary Ion Mass Spectrometry (SIMS)5, Matrix Assisted Laser Desorption/Ionization (MALDI) remains the most commonly used and most versatile. Most classes of biomolecules can be detected by MSI by tailoring the sample preparation, including washing/pretreatment of the tissue, enzymatic digestion, and the matrix/solvent used6,7. MALDI MSI has been used for the detection of metabolites, lipids, glycans, proteins, and proteolytic peptides.
MSI studies have been used in a variety of clinical and preclinical studies to better understand disease mechanisms8,9, improve cancer grading and staging10,11, predict treatment outcome12, improve diagnosis13, and determine molecular tumor margins14, among others. Most of these studies have focused on the detection of only a single class of analytes. However, it is often of interest to analyze more than one class of biomolecules from the same sample. Traditionally, that has been performed with serial sections of tissues. But more recently, examples have been shown of sequentially analyzing multiple analyte classes from the same tissue section. For example, Yagnik et al. have demonstrated lipid imaging of frozen tissue followed by MALDI Immunohistochemistry from the same section for cell type classification15. Clift et al. have shown sequential application of PNGaseF, Collagenase, and Trypsin to formalin-fixed, paraffin-embedded (FFPE) tissue sections for imaging of N-linked glycans, extracellular matrix proteins, and general proteins, respectively16. Escobar et al. demonstrated the sequential analysis of N-linked glycans, O-GlcNAc, and tryptic peptides from the same section of frozen tissue17. These types of experiments are accomplished through careful experimental planning to analyze the most easily lost analytes first, followed by those that are more stable in the tissue. In many cases, the washes that are used to remove unwanted classes of molecules help enhance other classes of molecules6, a property that can be taken advantage of, where each wash that removes the previously applied matrix also helps to enhance the signal of the next class of analytes to be imaged.
Recently, we published a workflow for the sequential analysis of metabolites, N-linked glycans, and tryptic peptides from the same section of FFPE ovarian cancer tissue18. Here, we present the detailed workflow for the analysis of these three classes of biomolecules from the same tissue section; an overview of the protocol is detailed in Figure 1. To our knowledge, this is first protocol describing in detail this workflow for sequential imaging from FFPE tissue. Briefly, tissue sections are dewaxed with xylene before coating with 1,5-diaminonaphthalene matrix (10 mg/mL in 50% acetonitrile) for negative ion mode metabolite imaging. The matrix is then removed, the sections rehydrated, and antigen-retrieved, before being sprayed with PNGase F (0.1 µg/µL in ammonium bicarbonate) to release N-linked glycans in situ. After incubation, the sections are coated with α-cyano-4-hydroxycinnamic acid (CHCA) (10 mg/mL in 70% acetonitrile, 0.1% trifluoroacetic acid) matrix and imaged in positive ion mode. Matrix is then removed again, rehydration and antigen retrieval repeated, and the sections are sprayed with trypsin (0.075 µg/µL in ammonium bicarbonate) and incubated before being again coated with CHCA (10 mg/mL in 70% acetonitrile, 0.1% trifluoroacetic acid) matrix and imaged in positive ion mode. All solutions should be made fresh, immediately before use, and if at all possible, the experiments should be carried out over 3 consecutive days. If delays are encountered, sections should be stored in a -80 °C freezer under desiccation.
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This protocol uses formalin-fixed paraffin-embedded (FFPE) tissues collected from previously untreated patients undergoing primary cytoreductive surgery for high-grade serous ovarian carcinoma. All clinical data were obtained from the ovarian cancer repository of the Department of Gynecologic Oncology and Reproductive Medicine under protocols approved by the University of Texas MD Anderson's Institutional Review Board. Written informed consent from the patients was obtained by front desk personnel, and the studies were conducted in accordance with recognized ethical guidelines.
1. Metabolite imaging sample preparation
NOTE: This protocol assumes that sections of formalin-fixed, paraffin-embedded tissue (4 µm thickness) have already been mounted on glass microscope slides, as clinical samples must generally be sectioned within a clinical pathology core by histotechnicians. As the work presented here is performed on the referenced TOF instrument, the orthogonal TOF measurement alleviates the need for conductive slides traditionally used in MSI experiments. The use of standard microscope slides is also more conducive to standard workflows in clinical pathology labs, as well as enabling the use of archival tissue already on slides.
2. Metabolite imaging data collection
3. Sample preparation for N-linked glycan imaging
4. N -Linked glycan imaging data collection
5. Sample preparation for tryptic peptide imaging
6. Tryptic peptide imaging data collection
7. Histological staining
NOTE: There are several methods for hematoxylin and eosin available. Presented here is a modified Carazzi Method frequently used in this lab.
8. Data visualization
NOTE: There is extensive analysis that can be done with SCiLS Lab that is beyond the scope of this protocol. Here, we will just describe basic file creation, data visualization, and searching of peaks against databases for putative identification.
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The completion of this protocol should result in three robust MSI datasets from the same section of tissue. In the visualization of the full spectrum of the metabolite data, the spectrum will be heavily dominated by matrix peaks at m/z 157 and 315. This is normal for FFPE tissue. Many metabolite and fatty acid signals will be observed by zooming in on the m/z ranges <155 and between 250 and 300. Figure 3 shows examples of the full spectrum and zoomed ranges highlighting the complex metabo...
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The collection of sequential MSI data from a single tissue section requires careful attention to detail. There are a few steps that are absolutely crucial to achieving high-quality data. First, care should be taken if more than one slide is prepared at the same time. When placing the slides into, or moving between Coplin jars, be careful not to place two slides into the same position in the jar. This will result in inadequate solvent exposure of the tissue surface, or one slide can scrape the tissue off the other slide. ...
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The authors have no conflicts of interest to disclose.
EHS and the University of Texas at Austin Mass Spectrometry Imaging Facility are supported by a Cancer Prevention and Research Institute of Texas Award (RP240559). This research was funded in part by the Ovarian Cancer Research Alliance (OCRA 811621 and 891490), the Sie Foundation, and the Stephanie C. Stelter Endowment Fund. This research was performed in collaboration with the Flow Cytometry and Cellular Imaging Core Facility, which is supported in part by the National Institutes of Health through M. D. Anderson's Cancer Center Support Grant P30 CA016672 and Jared Burks' NCI's Research Specialist 1 R50 CA243707-01A1.
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| Name | Company | Catalog Number | Comments |
|---|---|---|---|
| 1,5-diaminonaphthalene | Fisher Scientific | D010125G | MALDI Matrix for metabolite imaging |
| Acetonitrile | Fisher Scientific | A955-4 | LC-MS grade solvent used for matrix preparation |
| α-cyano-4-hydroxycinnamic acid | Sigma-Aldrich | 70990-1G-F | MALDI matrix for glycan and peptide imaging |
| Ammonium Bicarbonate | Fisher Scientific | A643-500 | Buffer for enzymes |
| Ammonium Phosphate | Sigma-Aldrich | 467782-50G | Additive to reduce matrix clusters during imaging |
| Decloaking Chamber NxGen | Biocare Medical | N/A | Used for antigen retrieval of tissue |
| Ethanol | Fisher Scientific | 04-355-223 | LC-MS grade solvent used for matrix preparation and staining |
| M5 Robotic Reagent Sprayer | HTX Imaging | N/A | Used for application of enzymes and matrices to tissue |
| Methanol | Fisher Scientific | A456-4 | LC-MS grade solvent for making red phosphorus suspension |
| MS Grade Trypsin | Fisher Scientific | PI90058 | Enzyme for protein digestion |
| MTP Slide Adapter II | Bruker Daltonics | 8235380 | Adapter to insert micrscope slides into mass spectrometer |
| NanoZoomer SQ Digital Slide Scanner | Hamamatsu Corp | N/A | Used for generating digital microscopy images of stained tissue |
| Perfection V600 Flatbed Scanner | Epson | N/A | Used for generating optical image of the slide for MSI data collection |
| Petri-seal | Fisher Scientific | 50-212-518 | For sealing petri dish during enzymatic digestion |
| PNGaseF | Bulldog Bio | NZPP550LY | Enzyme for cleavage of N-linked glycans from proteins |
| Red Phosphorus | Sigma-Aldrich | 04004-250G | MALDI calibrant for both positive and negative ion mode |
| SCiLS Lab (2025b) | Bruker Daltonics | N/A | Software for MSI data visualization |
| timsTOF fleX QTOF Mass Spectrometer | Bruker Daltonics | N/A | Used for mass spectrometry data collection |
| Trifluoracetic acid | Fisher Scientific | 85183 | Matrix additive to decrease pH for positive ion mode imaging |
| Tris Base | Fisher Scientific | BP152-500 | Buffer for antigen retrieval |
| Water | Fisher Scientific | W64 | LC-MS grade solvent used for matrices, enzymes, and staining |
| WypAll X60 | Fisher Scientific | 19-413-113 | Absorbent wipe for humidified enzyme incubation |
| Xylene | Fisher Scientific | X3P-1GAL | Clearing agent for staining |
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