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23 protocols using eslide manager

1

Quantifying Insulitis Progression in Diabetic Mice

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After the final blood glucose and weight readings at 26 weeks of age, the remaining mice were humanely euthanized by CO2 asphyxiation and then exsanguinated via cardiac puncture with subsequent collection of pancreata. The isolated pancreata were fixed in formalin for 24 h, then formalin was removed, and pancreata were immersed in PBS and shipped to the University of Florida Molecular Pathology Core. Fractions were sectioned and stained with hematoxylin and eosin (HE) to determine degree of insulitis per islet in mice treated with CO compared to control with light microscopy using Leica Aperio eSlide manager as previously described. Insulitis was scored from stage 0 to 4. Stage 0 was considered when there was no presence of insulitis with typical islet architecture. Stage 1 was considered when there was perinsulitis but no evidence of immune infiltrate into the islet itself. Stage 2 was considered with immune infiltrate in < 50% of the total islet. Stage 3 was considered when immune infiltrate was > 50% of the total islet. Stage 4 was considered when there was pronounced islet atrophy or 100% immune infiltration.
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2

Quantitative Analysis of IHC and ISH Images

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IHC- and ISH-stained slides were imaged using brightfield whole-tissue scanning by an Aperio Versa 8 (Leica Biosystems) at 20x/0.80NA, 40x/0.85NA, and oil 63x/1.30NA objectives. Digitized images (Leica .SCN File Format) were viewed and annotated using Aperio eSlide Manager. Monochrome images for FISH and IFA-stained slides were captured for each fluorophore using an Olympus DP80. A pseudo color was applied using the CI Deconvolution algorithm (Olympus) for each marker and fused into a composite image for viewing. Image processing and analysis for IHC- and ISH-stained slides were performed using the Area Quantification and Deconvolution modules of Halo Image Analysis Platform (Indica Labs, Inc). Using the deconvolution module, brightfield images were converted to pseudo fluorescent images for representation purposes only. This was done by applying contrasting color pairs for portions of the tissue that matched the optical density values for Hematoxylin and DAB/Warp Red staining. Using the Area Quantification module, the percentage of tissue area positive for Warp Red ISH staining was generated using the optical density for Warp Red chromogen and Hematoxylin as a portion of the entire tissue area analyzed.
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3

Immunohistochemistry for Ascl1, Chromogranin, and Synaptophysin

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For immunohistochemistry (IHC), tissue samples were cut as 3 µm thick sections from formalin-fixed paraffin embedded (FFPE) tissues. IHC staining was performed using a Bond Max automated staining system (Leica) using the antibodies: anti-Ascl1 (Abcam #211327, 1:400), anti-Chromogranin (Abcam #52983, 1:250), anti-Synaptophysin (Abcam #32127, 1:1000). GLuc and Cas9 staining was performed manually using the antibodies: anti-GLuc (Prolume Ltd, 1:1000), anti-Cas9 (Cell Signaling #19526, 1:400). Images were acquired using the Leica Aperio Versa slide-scanner and Leica Aperio eSlide Manager software v. 1.0.3.37. IHC images were analyzed quantitatively using the Aperio ImageScope software v. 12.3.2.8013. Tumors were marked and outlined by individuals blinded to the experimental setup and their area quantified in ImageScope. Tumor burden was calculated as percentage of tumor area to total lung area.
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4

Multiplex Immunofluorescence Analysis of PDX Tumors

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PDX tumor samples were collected and fixed in 10% neutral buffered formalin and processed routinely for histopathology. Tissues were embedded in paraffin and sectioned at 4 µm. Multiplex staining was performed using Opal 4-Color IHC Automation kit plus opal 620 (Akoya Biosciences) on a Leica Bond RXm autostainer. See antibody tables below. After staining, slides were rinsed in DI water and Vector TrueVIEW Auto fluorescence Quenching Kit was used per manufacturer’s instructions. Slides were hand-coverslipped and imaged at 20x using a Leica Versa 8 fluorescent digital scanning microscope system. Digital slides were accessed through Leica eslide manager and opened in Imagescope software. Leica digital image analysis software was utilized for quantification. A cellular immunofluorescence algorithm was tuned for each panel. Quantitative data was exported into excel spreadsheets. Antibodies used for tissue staining are included in Supplemental Table 1B.
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5

Quantifying Tissue Staining with eSlide

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The image analysis tool ‘positive pixel count’ within eSlide Manager (Leica Biosystems) was used to quantify the area and intensity of positive and negative staining. The number of pixels in an image was counted and classified as either negative, weakly positive, moderately positive or strongly positive. The Positive Pixel Count has input parameters to define each colour as positive (brown) and negative (blue), in addition to defining the threshold range as weak, moderate or strong positive. Parameters were set and run batchwise, and review of analysed markup was conducted to make changes to parameter to obtain a more accurate markup. After review, batch export of data and statistical analysis was conducted.
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6

Colon Tissue Swiss-Rolls Histological Analysis

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Mouse colon tissue “Swiss-rolls” were fixed in 4% paraformaldehyde for 4 h on ice, then processed with stepwise washings to the final step with 70% ethanol. The fixed tissue samples were dehydrated and embedded in paraffin according to standard histological procedures [36 (link)]. The tissue sections were then mounted on glass slides. Subsequently, after dewaxing and rehydration, the slides were stained with hematoxylin and eosin. The histological images were obtained using a Leica Aperio CS2 scanner with the software eSlideManager (Leica Biosystems, Vista, CA, USA). Histomorphological scoring of intestinal inflammation and the lesion was performed according to guidelines described by Erben et al. [37 (link)].
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7

Quantification of Nuclear ARv7 by IHC

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Tissue microarray was performed on whole human genome Agilent microarrays at the University of Washington (TMA 55). IHC was performed using the rabbit ARv7 monoclonal antibody clone RM7 (RevMab). Antigen retrieval was achieved by microwaving slides in citrate buffer (pH 6.0) for 18 min at 800 W. Endogenous peroxidase was blocked using 3% H2O2 solution. Blocking was performed using the protein block solution from the Novolink polymer detection system (Leica, Wetzlar, Germany). EP343 was diluted 1:200 and the tissue was incubated for 1 hr. The reaction was visualized using the Novolink polymer and DAB chromogen. Nuclear ARv7 on TMA slides were scanned with an Aperio ScanScope AT2 (Leica Biosystems Pathology Imaging, Vista, CA) at 40x (0.25 microns/ pixel), and stored on a server running Aperio eSlide Manager digital slide repository and database software.
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8

Hepatic S-phase DNA Synthesis Assay

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All animals were implanted with an osmotic pump containing BrdU prior to exposure. Hepatic S-phase DNA synthesis was determined using BrdU immunohistochemistry for identification of BrdU incorporation into nuclear DNA using the method outlined by Eldridge and Goldsworthy (1996) (link). Upon euthanasia, a section of liver was recovered as noted above, processed by standard techniques, and mounted on glass slides. Tissue was stained for BrdU using the manufacturers’ protocol (BD Biosciences, San Diego, California) and modified heat-induced antigen retrieval. A small section of duodenum from each animal was also processed to serve as a control for confirming systemic availability of the BrdU as well as confirmation of BrdU immunohistochemistry by visual inspection. BrdU was not scored for the duodenum. All slides were digitized using a Versa whole-slide scanner (Leica Biosystems) and the original digital image files stored on a secure GLP compliant server (e-Slide Manager; Leica Biosystems). A labeling index (BrdU-positive hepatocytes/BrdU-positive + BrdU-negative hepatocytes x 100) was calculated for each of three hepatocellular regions: centrilobular, midzonal, and periportal using a semi-automated image analysis system (Halo; Indica Labs). At least 1,000 cells/region/animal in centrilobular, midzonal, and periportal regions were evaluated.
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9

Quantitative Digital Image Analysis of Immunohistochemical Staining

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Immunohistochemically and fluorescently stained sections were scanned at a magnification of ×20 using the Aperio Digital Pathology Scanner (Leica Biosystems Inc., Germany) to capture a digital whole slide image. Digital image analysis for quantification of the staining for S100A9, CD34, CD56, CD20, CD3, CD15 and CD68 was measured using Aperio ScanScope AT Turbo, eSlide Manager and ImageScope software (V12.3.3.7014; Leica Biosystems, Vista, CA, USA) in accordance with the manufacturer’s recommendations. The 3 most representative high-power fields were captured for each tumor and nontumor region in all specimens. All measurements were performed by the same researcher, who was blinded to the histologic and patient survival data, to prevent interoperator variability. Moreover, the protein expression level of S100A9 (cells/mm2) in the immunohistochemical staining of the tissue microarray is shown in Supplementary Table 5.
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10

Quantifying Protein Expression in Tumors

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All immunohistochemistry slides were scanned and analyzed with the digital pathology system, including Aperio ScanScope CS, eSlide manager, and image analysis tools, made by Leica Biosystem (Chicago, Illinois). Quantification of IGSF9 used a macro built from the pixel counting algorithm (version 1), which reports the percentage of total number of positively stained pixels over total number of pixels analyzed. Cellular quantification nuclear stain algorithm (version 9) was used to make a macro to count positive cell percentage of total number of tumor cells analyzed in Ki67 immunostains.
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