Abstract
Matrix-assisted laser desorption/ionization imaging mass spectrometry (MALDI IMS) is a molecular imaging technology uniquely capable of untargeted measurement of proteins, lipids, and metabolites while retaining spatial information about their location in situ. This powerful combination of capabilities has the potential to bring a wealth of knowledge to the field of molecular histology. Translation of this innovative research tool into clinical laboratories requires the development of reliable sample preparation protocols for the analysis of proteins from formalin-fixed paraffin embedded (FFPE) tissues, the standard preservation process in clinical pathology. Although ideal for stained tissue analysis by microscopy, the FFPE process cross-links, disrupts, or can remove proteins from the tissue, making analysis of the protein content challenging. To date, reported approaches differ widely in process and efficacy. This tutorial presents a strategy, derived from systematic testing and optimization of key parameters, for reproducible in situ tryptic digestion of proteins in FFPE tissue and subsequent MALDI IMS analysis. The approach describes a generalized method for FFPE tissues originating from virtually any source.
Keywords: colon, formalin-fixed paraffin embedded tissue, in situ tryptic digestion, MALDI imaging mass spectrometry, molecular histology
Introduction
Matrix-assisted laser desorption/ionization imaging mass spectrometry (MALDI IMS) is an analytical technology for directly determining the spatial distributions of many hundreds of analytes simultaneously in tissue.[1] Molecular information is obtained directly from thin tissue sections such as those used in basic science and clinical laboratories. Samples are prepared for analysis by coating the tissue with MALDI matrix, a low molecular weight organic molecule that aids in the molecular desorption and ionization process after irradiation by the laser within the MALDI source. Since the analysis is accomplished without the use of antibody tags,[1,2] MALDI IMS can be used to characterize a wide range of molecular species in an untargeted manner, significantly increasing insights into the important molecular mechanisms that underpin disease. Since its inception,[2] MALDI IMS has been applied to clinical and biological problems and has been shown to significantly augment traditional histopathology approaches with complementary molecular data. Examples include the analysis of tissue microarrays,[3–6] the determination of diagnostic and prognostic classification markers,[7–15] and the diagnosis of specific disease types when histopathology is indeterminate.[16–20]
The vast majority of clinical biopsy samples are preserved as formalin-fixed paraffin embedded (FFPE) tissue blocks in order to stabilize morphology for follow-up histopathological analysis years or even decades later. Thus, FFPE tissues allow investigators to perform extensive retrospective studies not otherwise possible. However, FFPE preservation presents several challenges for MALDI IMS analysis.[21] First, removal of paraffin is required for analysis, and this typically uses organic solvents that remove endogenous lipids and some proteins. Endogenous peptides[22] and metabolites[4,14] can be imaged without further sample preparation prior to matrix application. However, the intramolecular crosslinks formed during formalin fixation make it difficult to analyze proteins directly. In contrast to fresh frozen tissue, where proteins can be measured directly, with FFPE tissue peptides must serve as surrogates for their precursor proteins. As a result, the second requirement for protein imaging of FFPE tissue is an antigen retrieval step, which increases the accessibility of proteins to endoproteinases during in situ protein digestion to release peptides for IMS analysis. The preparation of FFPE tissue for peptide mapping by IMS requires careful optimization of parameters to preserve tissue morphology and analyte localization as well as to obtain abundant peptide signal intensities.
A recent review of on-tissue digestion for IMS applications discusses various methods, instrumentation, and applications.[23] In situ enzymatic digestion has been accomplished using robotic spotting technologies to apply trypsin directly onto the tissue section in a manner that minimizes delocalization of analytes.[24–26] Drawbacks of utilizing robotic spotters include low spatial resolution (150–250 μm) and low throughput. Recently, reagent sprayers have been used to apply proteolytic enzymes and matrix to tissues with increased spatial resolution for fresh frozen and FFPE tissues.[27–34] Spray approaches can differ widely, and no validated/systematic procedures have been reported to ensure high-quality in situ digestion of tissues.
In this article, we provide a detailed discussion regarding the key parameters of in situ tryptic digestion of protein in FFPE tissue for MALDI IMS analysis. We focus on the application of trypsin by robotic spray technologies that provide for increased spatial resolution and efficiency. The following steps are discussed for an in situ digestion MALDI IMS workflow (Figure 1): initial tissue preparation, tissue deparaffinization and antigen retrieval, the application of trypsin by robotic spraying, in situ digestion, and matrix application. Important aspects of in situ digestion are addressed including the duration of digestion and chamber conditions, along with the effects of matrix solvent composition and matrix recrystallization.
Figure 1. Workflow for in situ digestion using robotic spray application of trypsin for MALDI IMS peptide analysis of FFPE tissues.
Steps that were optimized within the framework developed herein are highlighted in gray, with tested parameters listed.
Initial Tissue Preparation
Protocols for sectioning FFPE blocks are tissue-specific. Workflows should produce sections that maintain tissue morphology. A recommended starting point is to cut sections from FFPE blocks at 4–8 μm thickness and float mount the sections from a 47–50 °C water bath onto conductive ITO coated slides (Delta Technologies).[5] Adjacent tissue sections to those used for MALDI IMS analysis can be collected and stained using Hematoxylin and Eosin (H&E) for inspection by routine microscopy (see Supplemental Method 1).
Step 1: Tissue Deparaffinization and Antigen Retrieval
The first two steps required for peptide analysis by IMS include paraffin removal and antigen retrieval (see Method Box 1). Deparaffinization is typically accomplished by washing in a series of xylenes and graded ethanol.[21] Antigen retrieval is a common step for immunohistochemical analysis of FFPE tissue, as it exposes the epitopes for successful antibody binding. Heat-based protein unfolding also improves the in-situ digestion of cross-linked proteins, presumably providing trypsin greater accessibility for protein cleavage, and gives rise to many tryptic peptides (Figure 2A & 2B). Without antigen retrieval, few signals are recorded (Figure 2C & 2D).
Method Box 1: Paraffin removal and antigen retrieval.
To remove paraffin, slides were sequentially washed in xylene for 3 min (x2), 100% ethanol for 1 min (x2), 95% ethanol for 1 min, 70% ethanol for 1 min, and Milli-Q purified water for 3 min (x2), followed by drying for 10 min. Antigen retrieval was performed in a decloaking chamber (Biocare Medical) using 10 mM Tris buffer, pH 9. Samples were heated to 95 °C for 20 min with a 10 sec cool down at 90 °C. Slides were removed and cooled in the buffer at room temperature for 20 min and then buffer exchanged by replacing half of the solution with Milli-Q water four times and finally the entire solution with Milli-Q water. Slides were air dried and stored in a dry box over desiccant.
Figure 2. Antigen retrieval.
A) Differences in MALDI ion peak intensities from tissue processed with or without antigen retrieval (AR). Ions above the red dotted line have signal intensities that are significantly different between conditions (p<0.05). All data were derived from three biological replicates (with three technical replicates each). B) The number of identifications determined by LC-MS/MS analysis of microextractions (reverse hits and proteins identified by fewer than 2 peptides were not counted). No AR: 37 ± 11 proteins and 139 ± 31 peptides; AR: 137 ± 32 proteins and 1,167 ± 71 peptides. Means between AR and No AR were found to be significantly different using an unpaired t-test in GraphPad Prism version 5.04. Data were derived from 3 technical replicates of one patient sample. C) MALDI IMS of m/z 1459.7 ± 0.2 from tissue treated without (left) or with antigen retrieval (middle). H&E stained FFPE colon tissue (right); the black box shows the region imaged. D) MALDI IMS summary spectra showing average tissue signal without (top) and with (bottom) antigen retrieval. Sample preparation: tissues were sprayed with trypsin (0.64 ng/mm2 final) and digested at 37 °C overnight in a chamber containing 100 μL of 100 mM ammonium bicarbonate. Microextractions were collected and then 5 mg/mL CHCA in 90% acetonitrile, 0.1% TFA was sprayed onto the tissues. Samples were rehydrated with 50 μL of 50 mM acetic acid at 85 °C for 3 min.
Step 2: Trypsin Application to FFPE Tissues
The workflow presented here focuses on the application of trypsin using spray technologies (see Method Box 2). In addition to potentially providing increased spatial resolution compared to robotic spotters, spraying offers the capacity for higher throughput. A comparison of both workflows within our laboratory demonstrated over 3-fold higher throughput using a robotic sprayer approach when compared to previously published approaches using spotters.[5] Although methods for a TM-sprayer (HTX Technologies) are presented in this article, protocols for other spray technologies or spotting technologies can be used effectively if conditions are carefully validated.
Method Box 2: Spray application of trypsin.
A solution of 0.074 μg/μL of trypsin in 100 mM ammonium bicarbonate, 9% acetonitrile was loaded into a 0.5 mL Hamilton™ syringe connected to the TM Sprayer nozzle through Upchurch PEEK™ tubing (0.005 in I.D.). The sprayer parameters were programmed as previously described.[27] The nozzle was set to 30 °C and was 40 mm from the surface of the slides. Nitrogen was used as a carrier gas at 9.5 psi. Trypsin was delivered from the syringe to the sprayer at a flow rate of 8 μL/min. A total of 8 passes were completed at a rate of 750 mm/min in a criss-cross pattern, with 2 mm track spacing and no drying time.
Prior to spraying tissues with trypsin, it is important to ensure trypsin will remain active after spraying and for the duration of the digestion. A trypsin activity assay can be performed employing Nα-benzoyl-DL-arginine-p-nitroanilide (BAPNA, Sigma-Aldrich product B3133) as the substrate (Supplemental Figure 1A and Supplemental Method 2). Using our described protocol, results demonstrate that trypsin activity is maintained for up to 4 hours at 37 °C but is reduced by approximately 60% after overnight incubation and by 85–90% after incubation at 55 °C (Supplemental Figure 1B).
For trypsin application, a final on-tissue amount of 3.2 ng/mm2 is recommended as a starting point (see Optimization Box 1). Experience has shown this concentration produces successful digestions of many tissues. Figures 3 and 4 show the in situ digestion of colon tissue as an example. For colon tissue, this amount of trypsin represents an estimated enzyme:protein ratio of 1:23 per square millimeter of tissue. The optimal amount of trypsin per area of tissue required to produce abundant peptides can vary depending on tissue type and protein density within tissue sub-structures. Therefore if 3.2 ng/mm2 does not produce abundant peptide signal for a specific tissue of interest, a preliminary test will help determine protein content in the tissue in order to adjust the trypsin concentration as needed (Supplemental Method 3). Determination of the best trypsin concentration may also be application specific. One must consider both the efficiency of the digestion along with the optimal result by MALDI IMS to select a final condition. Quantitative or targeted experiments may require optimization of these conditions around specific ions of interest, and digestion of heterogeneous tissues may require control experiments to determine the potential for region-specific differences, as was previously noted in a quantitative assessment using brain tissue.[35]
Optimization Box 1: In situ digestion by different trypsin concentrations.
A comparison of three different trypsin concentrations (0.64, 3.2, and 24 ng/mm2, final) shows a trend in which more peptides and proteins were identified with the use of 3.2 ng/mm2 trypsin (Figure 3A and B). Analysis of peptide peak intensities from MALDI imaging data shows that the 3.2 ng/mm2 concentration produced more peaks of higher intensity than other concentrations (Figure 3C).
Figure 3. Optimization of trypsin concentration – maximizing peptide signal.
A) LC-MS/MS analysis of microextractions from tissues digested with varying amounts of trypsin. Means were compared using one-way ANOVA in GraphPad Prism version 5.04. Changes in proteomics results produced by altering trypsin concentration from 0.64–24 ng/mm2 were not statistically significant (p<0.05) when compared to one another, but control experiments with no trypsin added (0 ng/mm2) resulted in a statically significant (p<0.05) diminishment of peptide and proteins detected (asterisk). Error bars represent standard deviation from three technical replicates of one patient sample. B) The overlap of all proteins identified by LC-MS/MS in at least two out of three technical replicates per condition. This plot was made using EulerAPE_3.0.0.[41] C) Differences in MALDI ion peak intensities from tissue digested with various concentrations of trypsin. Ions above the red dotted line have signal intensities that are significantly different between conditions (p<0.05). Data were derived from three technical replicates from each of three patient samples. Sample Preparation: tissues were processed with antigen retrieval and, after trypsin deposition, were digested overnight at 37 °C in a chamber containing 100 μL of 100 mM ammonium bicarbonate. Microextractions were collected and then 5 mg/mL CHCA in 90% acetonitrile, 0.1% TFA was sprayed onto the tissue. Samples were rehydrated with 50 μL of 50 mM acetic acid at 85°C.
Figure 4. Optimization of trypsin concentration-IMS performance.
A-D) MALDI summary spectra (left) and two representative ion images (right) when A) 0, B) 0.64, C) 3.2, or D) 24 ng/mm2 of trypsin were used for digestion. Ion images represent: m/z 1235.7 ± 0.3 (left) and m/z 1671.0 ± 0.5 (right). Sample preparation: tissues were processed with antigen retrieval and, after trypsin deposition, were digested overnight at 37 °C in a chamber containing 100 μL of 100 mM ammonium bicarbonate. 5 mg/mL CHCA in 90% acetonitrile, 0.1% TFA was sprayed onto the tissue. Samples were rehydrated with 50 μL of 50 mM acetic acid at 85°C.
Step 3: Digestion Conditions
Tissue Hydration.
Previous studies have established a humid digestion chamber environment using a solution of ammonium bicarbonate to create an atmosphere of approximately pH 7.4, a condition beneficial for trypsin activity.[27,36] This results in a higher number of peptide peaks that can be observed by MALDI MS of the tissue. It is important to ensure that digestion conditions don’t cause analyte delocalization. Figures 5 and 6 show that 100 μL of ammonium bicarbonate in the described digestion chamber setup (see Method Box 3) facilitate digestion leading to abundant peptide signal and minimal analyte delocalization in imaging experiments (see Optimization Box 2). Supplemental Figure 2 shows differences in MALDI ion peak intensities from tissues digested with varying volumes of digestion chamber buffer. Consistency and reproducibility of humidity in the chamber is essential for generating reproducible images, especially when comparing a series of tissues within an experiment. To further characterize the effect of humidity on in situ digestion, hygrometers can be placed in digestion chambers to record changes in humidity over time (Supplemental Figure 3).
Figure 5. Digestion chamber buffer volume.
A-D) MALDI summary spectra (left) when A) 0, B) 100, C) 500, or D) 1000 μL of 100 mM ammonium bicarbonate were placed in the digestion chamber and three representative ion images: m/z 1326.2 ± 0.2 (left), m/z 1753.2 ± 0.2 (center), and m/z 2271.5 ± 0.2 (right), E-F) The number of E) proteins and F) peptides identified from tissue microextractions after tissues were digested in a chamber containing various amounts of ammonium bicarbonate. Data represent three technical replicates taken from each of three biological replicates. All concentrations were significantly different from 0 μL of 100 mM ammonium bicarbonate (asterisks, p value <0.05) but not different from each other. Error bars represent the standard error among the technical replicate averages from each of three patient samples. G) The overlap of proteins identified by LC-MS/MS in at least two out of three technical replicates per condition. Areas and values represent the average of three patient samples. This plot was made using EulerAPE_3.0.0.[41] Sample preparation: tissues were antigen retrieved, sprayed with trypsin (0.64 ng/mm2, final), and digested. Microextractions were collected, and then 5 mg/mL CHCA in 90% acetonitrile, 0.1% TFA was sprayed onto the tissues. Samples were rehydrated with 50 μL of 50 mM acetic acid at 85 °C.
Figure 6. Maintaining analyte localization during digestion.
Ion images and average mass spectra resulting from overnight digestion with various amounts of ammonium bicarbonate in the digestion chamber: A) 100, B) 500, and C) 1000 μL. Left side ion images: m/z 1547.9 ± 0.2 (green), m/z 1032.7 ± 0.2 (magenta). Right side ion images: m/z 1460.5 ± 0.2 (green), m/z 1236.3 ± 0.2 (magenta). Sample preparation: tissues were antigen retrieved, sprayed with trypsin (3.2 ng/mm2, final), and digested overnight. 5 mg/mL CHCA in 90% acetonitrile, 0.1% TFA was sprayed onto tissues. No rehydration was performed.
Method Box 3: Digestion chamber setup.
Digestion chambers were prepared using 92 × 16 mm plastic Petri dishes with a 5 × 5 cm WypAll™ square placed in the bottom of each dish and 100 μL of 100 mM ammonium bicarbonate placed on the sides of the WypAll™. A single slide was placed into each prepared Petri dish, sealed using Petri-Seal™ and parafilm, and incubated at 37 °C to facilitate digestion.
Optimization Box 2: Analysis of various digestion chamber buffer volumes.
The use of 100 μL of ammonium bicarbonate resulted in MALDI images with the highest ion signal and minimal delocalization compared to the use of higher volumes (500 and 1000 μL) or no buffer (Figure 5A–D). LC-MS/MS analysis supported these findings (Figure 5E–G).
Digestion Time.
Digestion time is an essential parameter for obtaining high peptide signal and minimizing delocalization. Longer digestions provide more time for enzymatic cleavage and can thereby lead to higher peptide signal. However, lengthy reactions can increase the amount of nonspecific cleavage and result in unintended modifications, making it difficult to identify peptides.[37] With on-tissue digestion, longer incubations could lead to increased delocalization of analytes across the tissue surface, especially if the chamber conditions are wet. A digestion time of 2 hours is recommended to produce abundant peptide signals and maintain analyte localization (Figure 7 and Optimization Box 3). For quantitative experiments, consistent proteolytic cleavage is important to reproducibly quantify the peptides of interest. A recent study evaluated the effect of digestion time for on-tissue digestion of frozen brain tissue and demonstrated differences in peptide signal for myelin basic protein between white matter and gray matter and for fully cleaved and miscleaved peptides.[35] Prior to initiating a quantitative, targeted study, it is important to understand peptide dynamics, the effect of different tissue regions on digestion efficiency, and the potential for non-specific cleavage or reaction induced modifications.
Figure 7. Digestion length.
A) MALDI ion images of m/z 1546.9 ± 0.2 and m/z 1032.9 ± 0.2 from FFPE colon tissue digested for 2 h (left) or overnight (16–18 h, right). B) Differences in MALDI ion peak intensities from tissues digested for 2 h or overnight. Ions above the red dotted line have signal intensities that are significantly different between conditions (p<0.05). Data were combined from three technical replicates taken from each of three biological replicates. C-E) LC-MS/MS analysis of microextractions from colon tissues digested for 2 h or overnight (ON, 16–18 h). C) The overlap of all proteins identified by LC-MS/MS in at least two out of three technical replicates per condition. This plot was made using The Venn Diagram Plotter provided by PNNL (https://omics.pnl.gov/software/venn-diagram-plotter). D-E) The number of proteins and peptides identified from each condition. Means were compared by one-way ANOVA using GraphPad Prism version 5.04. All groups were significantly different from 0 h (*, p value <0.05) but not different from each other. The number of peptides identified using overnight digestion was statistically greater than using the 2 h digestion (ǂ, p value <0.05). Data are from three technical replicates. Sample preparation: tissues were antigen retrieved, sprayed with trypsin (3.2 ng/mm2 final for panel A; 0.64 ng/mm2 final for panels B-E), and digested in a chamber containing 100 μl of 100 mM ammonium bicarbonate. Microextractions were collected and 5 mg/mL CHCA in 90% acetonitrile, 0.1% TFA was sprayed onto the tissues. Either no rehydration was performed (panel A) or samples were rehydrated with 50 μL of 50 mM acetic acid at 85 °C (panels B-E).
Optimization Box 3: Digestion time.
To establish an optimal length of time for in situ digestion, colon tissue was digested overnight (16–18 h) or for 2 h. Qualitative analysis of MALDI ion images showed similar signal intensity for both conditions (Figure 7A). Likewise, a quantitative comparison of ion peak intensities from MALDI images showed similar intensities for most ions. Overnight digestion produced significantly higher intensity signals for some ions, mainly those below m/z 2,000 (Figure 7B). LC-MS/MS analysis of microextractions identified a similar number of proteins and peptides from the 2 h and overnight digestions, and the two conditions shared 58 overlapping proteins, 77% of the total identified across the two groups (Figure 7C–E). Overnight digestion did not provide an advantage over the 2 h digestion, and the lengthier incubation period increases the chances for analyte delocalization. In addition, it was shown that trypsin activity decreases after 4 hours (see Supplemental Figure 1). Therefore, a 2 h digestion is recommended to produce abundant peptide signals and maintain analyte localization.
Step 4: Matrix Application for MALDI IMS
Matrix Solvent Composition.
Within a specific MALDI IMS application the particular analytes of interest will influence the choice of matrix. Common matrices that are useful across a broad range of analyte classes and molecular weights include 2,5-dihydroxybenzoic acid (DHB) and alpha-cyano-4-hydroxycinnamic acid (CHCA). These matrices have been successful for imaging peptides, proteins, small molecules, and lipids. In addition to the type of matrix, the solvent composition of the matrix solution plays a critical role within the experiment. Analytes that are soluble within the matrix solution will co-crystallize with the matrix, leading to ionization and detection during the IMS experiment. Different analytes or analyte classes can be imaged based on solvent selection. The details of matrix selection have been thoroughly reviewed[1] and a protocol for matrix application is presented in Method Box 4. An important consideration while optimizing solvent composition for spray applications is the localization of analytes. Solutions that are predominantly aqueous, and take longer to dry, may result in analyte delocalization during repeated rounds of matrix deposition onto the tissue. It is critical to select a matrix composition that does not result in analyte delocalization. Use of purified CHCA[38,39] at a concentration of 5 mg/mL in 90% acetonitrile, 0.1% TFA maintains in situ analyte spatial distributions (Figure 8, Supplemental Figure 4) and is therefore recommended for peptide imaging of FFPE tissue (see Optimization Box 4).
Method Box 4: Matrix application.
Matrix was deposited onto digested colon tissue using a robotic sprayer. The nozzle of the TM Sprayer was aligned 40 mm from the surface of the slide, heated to 85 °C, and the nitrogen carrier gas was set to 10 psi. Purified CHCA at a concentration of 5 mg/mL in 90% acetonitrile, 0.1% trifluoroacetic acid (TFA) was loaded onto the 5 mL loop of a standard HPLC pump, and 90% acetonitrile was used as a pushing solvent at a flow rate of 0.1 mL/min. Matrix was sprayed onto tissue sections for a total of 8 passes at a rate of 700 mm/min in a crisscross pattern, with 2 mm track spacing and no drying time. Samples were stored over desiccant and out of light until analysis.
Figure 8. Matrix solution composition.
A) Ion images showing the distributions of m/z 2916.6 ± 0.5 (magenta), m/z 2105.2 ± 0.5 (green), and m/z 1501.9 ± 0.5 (orange) or B) m/z 2916.6 ± 0.5 (red), m/z 3252.8 ± 0.5 (green), and m/z 868.5 ± 0.5 (gray) using a matrix solution of 50% acetontrile, 0.1% TFA (left) or 90% acetonitrile, 0.1% TFA (right). C) H&E stained serial section denoting histological features. D) Average spectra from images obtained with 50% acetonitrile, 0.1% TFA (top) or 90% acetonitrile, 0.1% TFA (bottom). Sample preparation: Formalin-fixed paraffin embedded human colon tissues were antigen retrieved, sprayed with trypsin (3.2 ng/mm2, final), and digested overnight in a chamber containing 100 μL of 100 mM ammonium bicarbonate. Samples did not undergo rehydration.
Optimization Box 4: Matrix application.
To optimize matrix application for MALDI peptide imaging, 3 different matrix compositions were tested: 5 mg/mL CHCA in 50%, 70%, or 90% acetonitrile, 0.1% TFA. The matrix solutions containing 50% and 70% acetonitrile, 0.1% TFA resulted in analyte delocalization across the tissue, while the use of 90% acetonitrile, 0.1% TFA maintained in situ analyte spatial distributions (Figure 8). This was supported by comparing the spatial distribution of several ion images (Figure 8A & 8B) to histological features in an H&E stained serial section (Figure 8C). Supplemental Figure 4 shows the result of different matrix conditions on individual ion signals.
Matrix Recrystallization
The matrix solvent facilitates mixing of soluble analytes within the tissue and matrix crystals and thereby plays an essential role in signal detection from the tissue.[1] Matrix compositions with a high percentage of organic solvent will evaporate faster than more aqueous solutions, which is advantageous for maintaining analyte localization but may reduce the mixing time of native analytes with the matrix and result in reduced ion signal. For protein analysis, rehydration of tissues after matrix application has been shown to improve signal.[40] Given the variety of tissue environments, the utility of matrix recrystallization will be tissue specific; colon tissue images had higher signal intensity without tissue rehydration (Supplemental Figure 5). For recrystallization of CHCA matrix, it is recommended to heat slides for 2 minutes at 85 °C and then incubate the slides at 85 °C for three minutes in a sealed chamber containing 50 μL of 50 mM acetic acid.
Method Summary
Application of the above outlined workflow provided an optimized method for peptide imaging of colon and several additional tissues (see Method Box 5). Inclusion of an antigen retrieval step proved to be necessary and yielded robust peptide signal from these tissue sections. Optimal digestion was performed using a trypsin concentration of 3.2 ng/mm2 for 2 h at 37 °C with 100 μL of 100 mM ammonium bicarbonate in the digestion chamber. The best matrix for maintaining analyte localization was 5 mg/mL CHCA in 90% acetonitrile, 0.1% TFA. Matrix recrystallization did not improve results for colon tissue, but did for other tissues.
Method Box 5: Framework for optimization.
This method represents a recommended starting point and has been applied successfully to many tissue types; however, some tissues may require optimization and ultimately different conditions. Method optimization should implement a two-tiered approach consisting of liquid chromatography tandem mass spectrometry (LC-MS/MS) and MALDI IMS (Supplemental Methods 4 & 5). Following on-tissue digestion, and prior to matrix application for MALDI IMS analysis, tryptic peptides can be microextracted from tissues as previously described[42] for downstream LC-MS/MS analysis. This strategy provides a framework for testing in situ tryptic digestion parameters and evaluating 1) the efficacy of in situ protein digestion and 2) the resulting MALDI IMS peptide signal and analyte localization.
Conclusions
This tutorial article provides a strategy for performing in situ digestion and MALDI peptide imaging of FFPE tissue specimens. This optimized strategy was established by testing various parameters through tissue microextractions followed by LC-MS/MS analysis and coupling these results to spatially informative imaging data. Some parameters defined in this recommended workflow are generally applicable across a wide range of FFPE tissue types (e.g., the need for an antigen retrieval step prior to digestion), while others (e.g., matrix composition and recrystallization) can be varied based on tissue type. Despite potential differences in individual parameters for different tissues and experimental scenarios, it is essential to minimize analyte delocalization that can occur during digestion and matrix application.
Supplementary Material
Acknowledgements
This work is supported by NIH/NIGMS P41GM103391–07 awarded to RMC. The authors wish to thank Dr. Amosy M’Koma of Meharry Medical College for providing the colon tissue used in this paper, Jennifer Harvey of the Mass Spectrometry Research Center for tissue sectioning and staining, Hayes McDonald and Sarah Stuart of the Mass Spectrometry Research Center Proteomics Core for proteomic analysis, Alain Cressen of HTX Technologies for assisting with the TM Sprayer, and Dr. Samuel James of Meharry Medical College for annotating the colon tissues.
Footnotes
Supplemental Information
Supplemental figures include: Figure 1 – Trypsin activity results; Figure 2 – Ion intensity differences due to varying chamber buffer volume; Figure 3 – Humidity for various digestion chamber conditions; Figure 4 – Matrix solvent composition; Figure 5 – Matrix recrystallization. Supplemental methods include: Method 1: H&E staining, Method 2: Trypsin activity assay, Method 3: Determining protein content in tissue to optimize for trypsin concentration; Method 4: Imaging mass spectrometry; Method 5: Tissue microextractions for LC-MS/MS analysis.
References
- [1].Norris JL and Caprioli RM. Analysis of tissue specimens by matrix-assisted laser desorption/ionization imaging mass spectrometry in biological and clinical research. Chem. Rev 2013, 113, 2309. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [2].Caprioli RM, Farmer TB, and Gile J. Molecular imaging of biological samples: Localization of peptides and proteins using MALDI-TOF MS. Anal. Chem 1997, 69, 4751. [DOI] [PubMed] [Google Scholar]
- [3].Groseclose MR, Massion PP, Chaurand P, and Caprioli RM. High-throughput proteomic analysis of formalin-fixed paraffin-embedded tissue microarrays using MALDI imaging mass spectrometry. Proteomics 2008, 8, 3715. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [4].Ly A, Buck A, Balluff B, Sun N, Gorzolka K, Feuchtinger A, Janssen K-P, Kuppen PJK, van de Velde CJH, Weirich G, Erlmeier F, Langer R, Aubele M, Zitzelsberger H, McDonnell L, Aichler M, and Walch A. High-mass-resolution MALDI mass spectrometry imaging of metabolites from formalin-fixed paraffin-embedded tissue. Nature Protocols 2016, 11, 1428. [DOI] [PubMed] [Google Scholar]
- [5].Casadonte R and Caprioli RM. Proteomic analysis of formalin-fixed paraffin-embedded tissue by MALDI imaging mass spectrometry. Nat Protoc 2011, 6, 1695. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [6].Powers TW, Neely BA, Shao Y, Tang H, Troyer DA, Mehta AS, Haab BB, and Drake RR. MALDI imaging mass spectrometry profiling of N-glycans in formalin-fixed paraffin embedded clinical tissue blocks and tissue microarrays. PLoS ONE 2014, 9, e106255. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [7].Rauser S, Marquardt C, Balluff B, Deininger S-O, Albers C, Belau E, Hartmer R, Suckau D, Specht K, Ebert MP, Schmitt M, Aubele M, Höfler H, and Walch A. Classification of HER2 Receptor Status in Breast Cancer Tissues by MALDI Imaging Mass Spectrometry. J. Proteome Res 2010, 9, 1854. [DOI] [PubMed] [Google Scholar]
- [8].Balluff B, Elsner M, Kowarsch A, Rauser S, Meding S, Schuhmacher C, Feith M, Herrmann K, Röcken C, Schmid RM, Höfler H, Walch A, and Ebert MP. Classification of HER2/neu Status in Gastric Cancer Using a Breast-Cancer Derived Proteome Classifier. J. Proteome Res 2010, 9, 6317. [DOI] [PubMed] [Google Scholar]
- [9].Xu BJ, Gonzalez AL, Kikuchi T, Yanagisawa K, Massion PP, Wu H, Mason SE, Olson SJ, Shyr Y, Carbone DP, and Caprioli RM. MALDI-MS derived prognostic protein markers for resected non-small cell lung cancer. Proteomics Clin Appl 2008, 2, 1508. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [10].Yanagisawa K, Shyr Y, Xu BJ, Massion PP, Larsen PH, White BC, Roberts JR, Edgerton M, Gonzalez A, Nadaf S, Moore JH, Caprioli RM, and Carbone DP. Proteomic patterns of tumour subsets in non-small-cell lung cancer. Lancet 2003, 362, 433. [DOI] [PubMed] [Google Scholar]
- [11].Schwamborn K, Krieg RC, Reska M, Jakse G, Knuechel R, and Wellmann A. Identifying prostate carcinoma by MALDI-Imaging. Int. J. Mol. Med 2007, 20, 155. [PubMed] [Google Scholar]
- [12].Deininger S-O, Ebert MP, Fütterer A, Gerhard M, and Röcken C. MALDI Imaging Combined with Hierarchical Clustering as a New Tool for the Interpretation of Complex Human Cancers. J. Proteome Res 2008, 7, 5230. [DOI] [PubMed] [Google Scholar]
- [13].Djidja M-C, Claude E, Snel MF, Francese S, Scriven P, Carolan V, and Clench MR. Novel molecular tumour classification using MALDI-mass spectrometry imaging of tissue micro-array. Anal Bioanal Chem 2010, 397, 587. [DOI] [PubMed] [Google Scholar]
- [14].Buck A, Ly A, Balluff B, Sun N, Gorzolka K, Feuchtinger A, Janssen K-P, Kuppen PJK, van de Velde CJH, Weirich G, Erlmeier F, Langer R, Aubele M, Zitzelsberger H, Aichler M, and Walch A. High-resolution MALDI-FT-ICR MS imaging for the analysis of metabolites from formalin-fixed, paraffin-embedded clinical tissue samples. J. Pathol 2015, 237, 123. [DOI] [PubMed] [Google Scholar]
- [15].Casadonte R, Kriegsmann M, Zweynert F, Friedrich K, Baretton G, Bretton G, Otto M, Deininger S-O, Paape R, Belau E, Suckau D, Aust D, Pilarsky C, and Kriegsmann J. Imaging mass spectrometry to discriminate breast from pancreatic cancer metastasis in formalin-fixed paraffin-embedded tissues. Proteomics 2014, 14, 956. [DOI] [PubMed] [Google Scholar]
- [16].Seeley EH, Washington MK, Caprioli RM, and M’Koma AE. Proteomic patterns of colonic mucosal tissues delineate Crohn’s colitis and ulcerative colitis. Proteomics Clin Appl 2013, 7, 541. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [17].M’Koma AE, Seeley EH, Washington MK, Schwartz DA, Muldoon RL, Herline AJ, Wise PE, and Caprioli RM. Proteomic profiling of mucosal and submucosal colonic tissues yields protein signatures that differentiate the inflammatory colitides. Inflamm. Bowel Dis 2011, 17, 875. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [18].Alomari AK, Glusac EJ, Choi J, Hui P, Seeley EH, Caprioli RM, Watsky KL, Urban J, and Lazova R. Congenital nevi versus metastatic melanoma in a newborn to a mother with malignant melanoma - diagnosis supported by sex chromosome analysis and Imaging Mass Spectrometry. J. Cutan. Pathol 2015, 42, 757. [DOI] [PubMed] [Google Scholar]
- [19].Lazova R, Yang Z, El Habr C, Lim Y, Choate KA, Seeley EH, Caprioli RM, and Yangqun L. Mass Spectrometry Imaging Can Distinguish on a Proteomic Level Between Proliferative Nodules Within a Benign Congenital Nevus and Malignant Melanoma. Am J Dermatopathol 2017, 39, 689. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [20].Lazova R, Seeley EH, Keenan M, Gueorguieva R, and Caprioli RM. Imaging mass spectrometry--a new and promising method to differentiate Spitz nevi from Spitzoid malignant melanomas. Am J Dermatopathol 2012, 34, 82. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [21].Fowler CB, O’Leary TJ, and Mason JT. Toward improving the proteomic analysis of formalin-fixed, paraffin-embedded tissue. Expert Review of Proteomics 2013, 10, 389. [DOI] [PubMed] [Google Scholar]
- [22].Paine MRL, Ellis SR, Maloney D, Heeren RMA, and Verhaert PDEM. Digestion-Free Analysis of Peptides from 30-year-old Formalin-Fixed, Paraffin-Embedded Tissue by Mass Spectrometry Imaging. Anal. Chem 2018, 90, 9272. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [23].Cillero-Pastor B and Heeren RMA. Matrix-assisted laser desorption ionization mass spectrometry imaging for peptide and protein analyses: a critical review of on-tissue digestion. J. Proteome Res 2014, 13, 325. [DOI] [PubMed] [Google Scholar]
- [24].Groseclose MR, Andersson M, Hardesty WM, and Caprioli RM. Identification of proteins directly from tissue: in situ tryptic digestions coupled with imaging mass spectrometry. J Mass Spectrom 2007, 42, 254. [DOI] [PubMed] [Google Scholar]
- [25].Lemaire R, Desmons A, Tabet JC, Day R, Salzet M, and Fournier I. Direct analysis and MALDI imaging of formalin-fixed, paraffin-embedded tissue sections. J. Proteome Res 2007, 6, 1295. [DOI] [PubMed] [Google Scholar]
- [26].Stauber J, MacAleese L, Franck J, Claude E, Snel M, Kaletas BK, Wiel IMVD, Wisztorski M, Fournier I, and Heeren RMA. On-tissue protein identification and imaging by MALDI-ion mobility mass spectrometry. J. Am. Soc. Mass Spectrom 2010, 21, 338. [DOI] [PubMed] [Google Scholar]
- [27].Wenke JL, Rose KL, Spraggins JM, and Schey KL. MALDI imaging mass spectrometry spatially maps age-related deamidation and truncation of human lens aquaporin-0. Invest. Ophthalmol. Vis. Sci 2015, 56, 7398. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [28].Angel PM, Mehta A, Norris-Caneda K, and Drake RR. MALDI Imaging Mass Spectrometry of N-glycans and Tryptic Peptides from the Same Formalin-Fixed, Paraffin-Embedded Tissue Section. Methods Mol. Biol 2018, 1788, 225. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [29].Hinsch A, Buchholz M, Odinga S, Borkowski C, Koop C, Izbicki JR, Wurlitzer M, Krech T, Wilczak W, Steurer S, Jacobsen F, Burandt E-C, Stahl P, Simon R, Sauter G, and Schlüter H. MALDI imaging mass spectrometry reveals multiple clinically relevant masses in colorectal cancer using large-scale tissue microarrays. Journal of Mass Spectrometry 2017, 52, 165. [DOI] [PubMed] [Google Scholar]
- [30].Sio GD, Smith AJ, Galli M, Garancini M, Chinello C, Bono F, Pagni F, and Magni F. A MALDI-Mass Spectrometry Imaging method applicable to different formalin-fixed paraffin-embedded human tissues. Mol. BioSyst 2015, 11, 1507. [DOI] [PubMed] [Google Scholar]
- [31].Becker M, Resemann A, Beckmann J, Paape R, and Suckau D. Localization and Identification of Peptides from Tissue using high-speed MALDI TOF/TOF mass spectrometry. Bruker Daltonics, Inc 2016. [Google Scholar]
- [32].Angel PM, Norris-Caneda K, and Drake RR. In Situ Imaging of Tryptic Peptides by MALDI Imaging Mass Spectrometry Using Fresh-Frozen or Formalin-Fixed, Paraffin-Embedded Tissue. Curr Protoc Protein Sci 2018, 94, e65. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [33].Gessel M, Spraggins JM, Voziyan P, Hudson BG, and Caprioli RM. Decellularization of intact tissue enables MALDI imaging mass spectrometry analysis of the extracellular matrix. Journal of Mass Spectrometry 2015, 50, 1288. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [34].Daltonics Bruker. Preclinical Use of MALDI: Imaging Digested Proteins in FFPE Tissues. Preclinical Use of MALDI: Imaging Digested Proteins in FFPE Tissues, 2019. [Google Scholar]
- [35].Heijs B, Tolner EA, Bovée JVMG, van den Maagdenberg AMJM, and McDonnell LA. Brain Region-Specific Dynamics of On-Tissue Protein Digestion Using MALDI Mass Spectrometry Imaging. J. Proteome Res 2015, 14, 5348. [DOI] [PubMed] [Google Scholar]
- [36].Rizzo DG. High Mass Accuracy Coupled to Spatially-Directed Proteomics for Improved Protein Identifications in Imaging Mass Spectrometry Experiments. High Mass Accuracy Coupled to Spatially-Directed Proteomics for Improved Protein Identifications in Imaging Mass Spectrometry Experiments, 2016. [Google Scholar]
- [37].Hildonen S, Halvorsen TG, and Reubsaet L. Why less is more when generating tryptic peptides in bottom-up proteomics. Proteomics 2014, 14, 2031. [DOI] [PubMed] [Google Scholar]
- [38].Armarego WLF and Chai CLL. Purification of laboratory chemicals Purification of laboratory chemicals, 5th ed. Amsterdam ; Boston: Butterworth-Heinemann, 2003. [Google Scholar]
- [39].Rohani S, Horne S, and Murthy K. Control of Product Quality in Batch Crystallization of Pharmaceuticals and Fine Chemicals. Part 1: Design of the Crystallization Process and the Effect of Solvent. Org. Process Res. Dev 2005, 9, 858. [Google Scholar]
- [40].Yang J and Caprioli RM. Matrix Sublimation/Recrystallization for Imaging Proteins by Mass Spectrometry at High Spatial Resolution. Anal. Chem 2011, 83, 5728. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [41].Micallef L and Rodgers P. euler APE : Drawing Area-Proportional 3-Venn Diagrams Using Ellipses. PLOS ONE 2014, 9, e101717. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [42].Schey KL, Anderson DM, and Rose KL. Spatially-directed protein identification from tissue sections by top-down LC-MS/MS with electron transfer dissociation. Anal. Chem 2013, 85, 6767. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.