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11 protocols using zen blue imaging software

1

Microscopy Protocols for Tumor Imaging

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IF slides were imaged with a Zeiss Upright LSM710 microscope with a 20x objective lens using Zen blue imaging software (Zeiss). IMC images were acquired using Hyperion Imaging Mass Cytometer. Each ROI was selected such that it would contain a whole tumour including adjacent normal tissue where possible, or, if required, they were cropped post-acquisition to contain a single tumour. Twelve images obtained from six mice were selected for this study, ranging from 1–9 mm2 (429 Mb up to 3.35 Gb).
For figures in this publication with IF or IMC images we used Fiji ImageJ v2.0.0 to make composite images of selected channels. For visualisation purposes the images were processed with an outlier removal step, filtered using a median or Gaussian filter (0.5px radius) and scaled to enhance contrast. For Fig. 1c the lymphocyte images were filtered using a band pass (3–40px) Fast Fourier Transformation to enhance detection of the cells.
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2

Melanocyte-based colony-forming efficiency

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For colony-forming efficiency (CFE) assay, epithelial and stromal melanocytes were seeded into 6 well-plates at a density of 2 × 104 cells/cm2. Single-cell suspensions of LEPC were prepared from limbal rims as described previously [13 (link)], seeded at a density of 1 × 103 cells/cm2 on the melanocyte layers, and cultivated in CnT-Prime Keratinocyte/Melanocyte Co-Culture medium (CellnTEC, Bern, Switzerland) for approximately 14 days. Subsequently, the melanocytes were removed using Versene solution (Thermo Fisher Scientific, Waltham, MA, USA) for 30 s and rinsing under vigorous pipetting and microscopic control. After fixation with 4% paraformaldehyde for 1 h, the colonies were stained with 2% rhodamine B (Merck, Darmstadt, Germany) for 15 min. The CFE was calculated using the number of colonies formed divided by the number of cells plated × 100%. The colony growth area was calculated as colony growth area/total culture area × 100% using the ZEN blue imaging software (Carl Zeiss Microscopy, Oberkochen, Germany).
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Fluorescence Microscopy Imaging Protocol

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Unless otherwise indicated, all cells were mounted on 2% agarose pads made in respective growth medium on the microscopy slides. Images were acquired with a Zeiss Axio Imager Z2 upright epifluorescence microscope. ZEISS Zen blue imaging software and Zeiss plan Apochromat 100x/1.4 oil immersion objective lens were used for image acquisition. Fourteen z-stacks (0.4 μm) were routinely acquired and deconvolved using the constrained iterative algorithm available in the Zen software. Colibri 7 LED light and 90 High Efficiency filter sets were used for excitation of GFP and mCherry/RFP. For GFP signal, samples were excited at 470/40 nm, and emission range was set at 525/50 nm while for mCherry/RFP signal, samples were excited at 555/30 nm, and emission range was set at 592/25 nm. For simultaneous detection of Nile Red and GFP, imaging was performed using a Leica SP5 confocal microscope and a Leica HCX 63 × 1.4 NA objective. Nile Red and GFP were excited at 488 nm and GFP and Nile Red fluorescence emission was detected between 500–515 nm and 560–590 nm, respectively. All fluorescence microscopy images shown represent mid-section images.
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4

Proximity Ligation Assay for Protein-Protein Interactions

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Proximity ligation assay (PLA) was performed using DuolinkTM In Situ Probe Anti-Mouse PLUS, Anti-Rabbit MINUS, Wash Buffers (Fluorescence), Reagents Green, and Mounting medium with DAPI, according to manufacturer’s instructions (Sigma-Aldrich). Primary antibodies combinations used were anti-RUNX3 rabbit (1:400) (Cell Signaling Technology, D6E2) and anti-MYC mouse (1:400) (OriGene, OTI3F2) monoclonal antibodies; anti-RUNX3 (1:400) (Cell Signaling Technology, D9K6L) and anti-MYC (1:400) (Cell Signaling Technology, D84C12); anti-RUNX3 (1:400) (Cell Signaling Technology, D9K6L) and anti-GSK3B (1:400) (Cell Signaling Technology, D5C5Z); anti-RUNX3 (1:400) (Cell Signaling Technology, D9K6L) and FBXW7 (1:400) (Proteintech, 55290-1-AP); anti-RUNX3 (1:400) (Cell Signaling Technology, D9K6L), and MAX (1:400) (abcam, ab199489); RUNX3 (1:400) (Cell Signaling Technology, D9K6L) and MIZ-1 (1:400) (Cell Signaling Technology, D7E8B). The signals were visualized with Zeiss LSM880 confocal microscope and analyzed with Zeiss Zen (Blue) imaging software.
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5

Visualizing SNAP-β2AR Trafficking in HEK293 Cells

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SNAP-β2AR expressing HEK293 cell lines were seeded into PDL-coated eight-well plates (Ibidi) at a density of 120,000 cells per well. When necessary, cells were transfected 24 h earlier with GRK2, arrestin-3 or a combination of both (5000 ng DNA, 2.5 × 106 cells) using PEI at a DNA:PEI ratio of 1:3 as previously reported131 (link). The next day after seeding, the medium was exchanged to a solution of SNAP-Surface Alexa Flour 649 in serum-free DMEM and incubated for 30 min at 37 °C and 5% CO2. Afterwards, the plates were washed three times with HBSS, and 150 µl HBSS was added to each well. Images were then acquired on a Zeiss AxioObserver Z (Carl Zeiss, Jena, Germany), equipped with ApoTome2.0 using ×63 magnification. Focal height was maintained by utilizing Definite Focus (Carl Zeiss, Jena, Germany). After acquiring a baseline image, cells were stimulated by adding 150 µl of a 2× agonist solution in HBSS. After the indicated times, a new image was acquired. Image processing and line scan analysis were performed using Zen blue Imaging software (Carl Zeiss, Jena, Germany).
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6

Immunohistochemistry of Mouse Tumor Tissue

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IHC of paraffin-embedded mouse tumor tissue sections was performed using anti-ETV4 (1:100, GTX100812; GeneTex), anti-MMP13 (1:100, 18165-1-AP; Proteintech), anti-Ki67 (1:200, ab15580; Abcam, Cambridge, UK), and anti-cleaved caspase 3 (1:100, Asp175, catalogue no. 9661; Cell Signaling Technology, Danvers, MA, USA). Sections were incubated with secondary HRP-conjugated antibody. Counterstaining was performed using Mayer’s hematoxylin (Merck, Darmstadt, Germany). Imaging was carried out using ZEN Blue imaging software (Carl Zeiss Microscopy).
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7

Two-Photon Laser Scanning Microscopy Acquisition

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For 2P-LSM acquisition, the open-source MATLAB-based software application ScanImage® (Vidrio Technologies, Ashburn, VA, United States) (Pologruto et al., 2003 (link)) was used. The custom-made MATLAB-based software MSparkles, GraphPad Prism 8 and Microsoft Office Excel 2016 were used for data analysis. Immunohistochemical data were visualized and modified using the ZEN blue imaging software (Zeiss, Oberkochen, Germany) and the ImageJ collection Fiji. For figure layout, the Adobe Creative Suite 2021 was used (Adobe InDesign®, Adobe Illustrator®, Adobe Photoshop®).
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8

Imaging siRNA-loaded Nanoparticles in Ovarian Cancer Cells

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A Confocal Laser Scanning Microscopy (CLSM) was used to observe the qualitative distribution of siRNA loaded PICs nanoparticles in both CaOV3 and CaOV3CisR cells. Cells were seeded in glass-based 33 mm Fluorodish (2,000 cells mL -1 ) and incubated for 24 h before treatment with fluorescent labelled ROR2-siRNA loaded PICs nanoparticles (cy3 labelled ROR2 siRNA and FITC labelled BSA-PDMAEMA for 4 h. The cells were stained with nucleus stain Hoechst 33342 before visualising with the Zeiss LSM 800 instrument. The ZEN blue imaging software (ZEISS) was used for image acquisition and processing.
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9

Microscopic Imaging and Mass Cytometry

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IF slides were imaged with a Zeiss Upright LSM710 microscope with a 20x objective lens using Zen blue imaging software (Zeiss). IMC images were acquired using Hyperion Imaging Mass Cytometer. Each ROI was selected such that it would contain a whole tumour including adjacent normal tissue where possible, or, if van Maldegem, Valand et al.
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10

Multimodal Imaging of Tumor Microenvironment

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IF slides were imaged with a Zeiss Upright 710 microscope with a 20x objective lens using Zen blue imaging software (Zeiss). IMC images were acquired using Hyperion Imaging Mass Cytometer. Each ROI was selected such that it would contain a whole tumour including adjacent normal tissue where possible, or, if required, they were cropped to contain a single tumour using the cropping script (see Code availability).
Twelve images obtained from six mice were selected for this study, ranging 1~9 mm 2 (429Mb up to 3.35Gb).
For figures in this publication with IF or IMC images we used Fiji ImageJ v2.0.0 to make composite images of selected channels. For visualisation purposes the images were processed with an outlier removal step, filtered using a median or gaussian filter (0.5px radius) and scaled to enhance contrast. For Figure 1c
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