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15 protocols using fleximaging v4

1

Spatial Metabolomic Analysis of FFPE Biopsies

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Data for spatial metabolomics were obtained from the previous study [21 (link)]. Formalin-fixed, paraffin-embedded (FFPE) biopsies coated with 9-aminoacridine (9-AA) hydrochloride monohydrate matrix (Sigma-Aldrich) were analysed in the negative ion mode on a Bruker Solarix 7.0 T FT–ICR MS (Bruker Daltonik) over a mass range of m/z 50–1000 as previously described [35 (link)]. After the acquisition, samples were stained with haematoxylin and eosin (H&E), coverslipped, scanned with a Mirax Desk scanner (Zeiss, Göttingen, Germany), and coregistered with the respective IMS data using flexImaging™ v. 4.0 (Bruker). Tissues were processed using virtual microdissection with the definitions of the regions of interest as tumour cells.
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2

Metabolite Profiling Using MSI

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Raw MSI data were first analyzed using FlexImaging (v4.0) software (Bruker Daltonics, Germany) and then imported to SCiLS Lab software (Bruker Daltonics, Germany) for further analysis (Figure 1g). A whole tissue section was selected as a region of interest (ROI). The ion intensity values of mass spectrum were exported from SCiLS Lab software. The average intensity/ROI area (mm2) was used to compare the relative abundance of respective metabolite ions. For multivariate statistical analysis, partial least squares-discriminant Analysis (PLS-DA) was used to identify the alternation of metabolites among different groups. An absolute value of log2 (fold change) ≥ 1 and variable importance in the projection (VIP) > 1.0 were introduced to screen significant differential metabolites (SDMs). The data were expressed as means± standard deviation for three biological replicates.
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3

Haematoxylin and Eosin Staining of Tissue Sections

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After acquisition of the mass spectrometry data, the matrix was removed with 70% ethanol, and the tissue sections were stained with haematoxylin and eosin. The sections were transferred to dH2O for 1 min and then haematoxylin (Carl Roth, Karlsruhe, Germany) for 1 min; after washing in tap water for approximately 5 min, they were transferred to eosin Y (Sigma‐Aldrich) for 1 min. The sections were subsequently dehydrated using an increasing alcohol solution series [70%, 90%, and 100% ethanol (Merck) and isopropanol (Merck); 30 s each], transferred to xylene (Carl Roth) for at least 2 min, coverslipped, scanned with a Mirax desk slide scanner (Zeiss, Göttingen, Germany) using a 20× magnification objective, and co‐registered with the respective mass spectrometry imaging data using flexImaging v. 4.0 (Bruker Daltonics).
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4

MALDI-MSI Protocol for Adrenal CYP11B2 Immunostaining

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Sequential adrenal sections for MALDI-MSI experiments were used for immunostaining. CYP11B2 immunohistochemistry was performed under standardized conditions on a Discovery XT automated stainer (Ventana Discovery XT Systems, Ventana Medical Systems, Inc, Tucson) using monoclonal antibodies against human CYP11B2 (diluted 1:100, a gift from Prof Celso Gomez-Sanchez, University of Mississippi), and detected by the Discovery DAB Map Kit (Roche Diagnostics/Ventana Medical Systems), including incubation with anti-mouse and anti-rabbit ready-to-use universal secondary antibodies (catalog 760-4205; Roche Diagnostics/Ventana Medical Systems). APCC regions were annotated according to the CYP11B2 immunostaining. The average spectral data of annotated APCC regions were exported from FlexImaging v. 4.0 (Bruker Daltonics) and used for further bioinformatics analysis.
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5

MALDI-MSI of Adrenal Tissue Sections

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FFPE adrenal samples were cut into 3-μm sections on a microtome (HM 355S, Microm; ThermoScientific) and mounted onto indiumtin-oxide-coated glass slides. The FFPE sections were incubated at 60°C for 1 hour, deparaffinized in xylene (2×8 minutes), and dried on a hot plate at 37°C. The matrix solution consisted of 10 mg/ mL 9-aminoacridine hydrochloride monohydrate (Sigma-Aldrich, Germany) in water/methanol 30:70 (v/v). SunCollect automatic sprayer (Sunchrom, Friedrichsdorf, Germany) was used for matrix application. The flow rates were 10, 20, 30, and 40 μL/min, respectively, for the first 4 layers. The other 4 layers were performed at 40 μL/min. The MALDI-MSI measurement was performed on a Bruker Solarix 7T FT-ICR-MS (Bruker Daltonik, Bremen, Germany) in negative ion mode using 50 laser shots per spot at a frequency of 1000 Hz. The MALDI-MSI data were acquired over a mass range of m/z 50 to 1000 with 50-μm lateral resolution. After MALDI-MSI measurements, acquired data underwent spectra processing in FlexImaging v. 4.0 (Bruker Daltonics, Bremen, Germany) and SCiLS Lab v. 2019 (Bruker Daltonics). MALDI-MSI data were normalized to the root mean square of all data points.
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6

MALDI-FTICR-IMS and MALDI-TOF-IMS Lipid Analysis

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MALDI-FTICR-IMS analyses were conducted using a 7T solariX XR system (Bruker Daltonics). To detect lipid species, the continuous accumulation of selected ions (CASI) function was used in positive ion mode over a mass range m/z 500-900 with a resolution of 590,000 at m/z 400. A Smart Beam II laser was operated at 2,000 Hz, a laser power of 50%, a laser diameter of 50 µm, and a raster width of 80 µm. The SM peak obtained was accumulated and split by collision-induced dissociation (CID)-fragmentation with CASI function to obtain structural information. Mass spectra were analyzed and obtained using Data Analysis v4.3 (Bruker Daltonics).
MALDI-TOF-IMS analyses were undertaken using ultrafleXtreme (Bruker Daltonics). To detect lipid species, a reflector positive mode was used over a mass range m/z 0-1,000. A Smart Beam II laser was operated at 2,000 Hz, a laser power of 80%, a laser diameter of 100 µm, and a raster width of 100 µm. Mass spectra were analyzed and obtained using FlexAnalysis v3.3 (Bruker Daltonics).
After acquisition of mass spectra, FlexImaging v4.0 (Bruker Daltonics) was used for data processing and image generation. All imaging data were normalized by the root means square method. Lipid identification was undertaken using the MS analysis tool in the LIPID MAPS website (www.lipidmaps.org/tools/index.html).
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7

MALDI-TOF Imaging Mass Spectrometry

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MSI data was collected using an Autoflex Speed MALDI-TOF mass spectrometer equipped with a Nd:YAG smartbeam2 laser (Bruker Daltonics). The laser modulator was set to “small” mode. For each raster spot of 250 × 250 μm, 1000 shots (50 shots random walk) at a frequency of 2000 Hz were acquired in reflectron positive mode. All data were analyzed using FlexImaging v4.1 (Bruker Daltonics).
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8

MALDI-TOF N-Glycan Quantification

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N-glycan localization and intensity were visualized using FlexImaging v4.1 (Bruker), with data imported at a 0.98 ICR Reduction Noise Threshold. Images were normalized to total ion current and N-glycan peaks were selected manually based on their theoretical mass values. Spectra were recalibrated using Data Analysis 5.0 (Bruker) with an 8-point linear function based on N-glycan theoretical masses. For quantification of peaks at individual spots, spectra were imported into SCiLS Lab software 2017a (Bruker). Each spot was designated a unique region and area under monoisotopic peak values were exported from each region.
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9

FT-ICR IMS of Mouse SVZ Lipids

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Sections from one case were prepared and DHB or DAN matrices applied as described above. FT-ICR IMS of the SVZ was performed using a Bruker 7 T solarix-XR mass spectrometer (Bruker Daltonics, Bremen, Germany) with MALDI ionisation and at 20 µm spatial resolution. Spectra were collected in the m/z range of 150–2000. FT-ICR data were read into flexImaging v4.1 (Bruker Daltonics, Bremen, Germany) and normalised using the root mean square method. Peak centroids were taken as accurate masses to facilitate the assignment of lipid identities.
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10

MALDI-IMS Analysis of Whole Eye Tissue

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Optical images were acquired with an automated image scanner (NanoZoomer Slide Scanner 2.0-HT; Hamamatsu Photonics, Shizuoka, Japan). Mass spectra were acquired with a SolariX FT-ICR mass spectrometer (Bruker Daltonik GmbH, Bremen, Germany) and a 7.0-T superconducting magnet in positive ion mode. Before analysis, the instrument was calibrated with sodium formate. The laser spot size was set to medium focus for low spatial resolution and small focus for high spatial resolution. Its dimensions were ~50 μm and ~25 μm, respectively. Atropine and the CHCA matrix ion were initially detected in the corneal region. The laser intensity was optimized and fixed at the start of each run. The mass range was set to m/z 200–310. Since far more CHCA sodium adduct (observed m/z: 212.03) was produced than the CHCA proton adduct (theoretical m/z: 190.05), the former was set as the lock mass. MALDI-IMS analysis was first performed on the a whole-eye section at a low spatial resolution followed by a high spatial resolution analysis. MALDI mass images were acquired with FlexImaging v. 4.1 (Bruker Daltonik GmbH, Bremen, Germany). Extracted masses were selected within a 0.0009-Da window.
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