Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis

Summary

Extracellular DNA (ecDNA) released during cell death is proinflammatory and contributes to inflammation. Measurement of ecDNA at the site of injury can determine the efficacy of therapeutic treatment in the target organ. This protocol describes the use of a machine learning tool to automate measurement of ecDNA in kidney tissue.

Abstract

Glomerular cell death is a pathological feature of myeloperoxidase anti neutrophil cytoplasmic antibody associated vasculitis (MPO-AAV). Extracellular deoxyribonucleic acid (ecDNA) is released during different forms of cell death including apoptosis, necrosis, necroptosis, neutrophil extracellular traps (NETs) and pyroptosis. Measurement of this cell death is time consuming with several different biomarkers required to identify the different biochemical forms of cell death. Measurement of ecDNA is generally conducted in serum and urine as a surrogate for renal damage, not in the actual target organ where the pathological injury occurs. The current difficulty in investigating ecDNA in the kidney is the lack of methods for formalin fixed paraffin embedded tissue (FFPE) both experimentally and in archived human kidney biopsies. This protocol provides a summary of the steps required to stain for ecDNA in FFPE tissue (both human and murine), quench autofluorescence and measure the ecDNA in the resulting images using a machine learning tool from the publicly available open source ImageJ plugin trainable Weka segmentation. Trainable Weka segmentation is applied to ecDNA within the glomeruli where the program learns to classify ecDNA. This classifier is applied to subsequent acquired kidney images, reducing the need for manual annotations of each individual image. The adaptability of the trainable Weka segmentation is demonstrated further in kidney tissue from experimental murine anti-MPO glomerulonephritis (GN), to identify NETs and ecMPO, common pathological contributors to anti-MPO GN. This method provides objective analysis of ecDNA in kidney tissue that demonstrates clearly the efficacy in which the trainable Weka segmentation program can distinguish ecDNA between healthy normal kidney tissue and diseased kidney tissue. This protocol can easily be adapted to identify ecDNA, NETs and ecMPO in other organs.

Introduction

Myeloperoxidase anti neutrophil cytoplasmic antibody associated vasculitis (MPO-AAV) is an autoimmune disease that results in renal failure from pathological glomerular injury with considerable cell death and release of deoxyribonucleic acid (DNA)^1,2. DNA can activate the immune system by acting as a danger signal. Under normal healthy conditions, the nuclear location of DNA offers protection from exposure to the immune system. Self-DNA that is released extracellularly during either pathogenic processes or autoimmunity is seen by the immune system as a potent proinflammatory damage associated molecular self-protein (DAMP)³. Extra cellular DNA (ecDNA) is released from dying cells through several distinct mechanisms that are governed by distinct biochemical pathways, such as apoptosis, necroptosis neutrophil extracellular trap formation (NETs), necrosis or pyroptosis^4,5,6,7,8.

We describe herein methods to stain and measure ecDNA released from dying cells in sections of formalin fixed paraffin embedded (FFPE) kidneys from experimental anti-MPO GN and kidney biopsies from patients with MPO-AAV^9,10. Multiple methods exist for the detection of circulating double stranded DNA (dsDNA) and DNA complexes from both serum and urine and from in vitro assays^11,12. These methods, although accurate in determining the amount of ecDNA, do not determine where the ecDNA is released anatomically. There are methods that describe specific measurement of ecDNA such as tunel for apoptosis and measurement of cell debris^13,14. There is no method that describes measuring ecDNA culminated from all forms of cell death in FFPE kidneys where the pathological damage occurs. This is important to determine if experimental therapeutic treatments are clearing the ecDNA from the sites of pathological injury in the actual target organ.

The acquisition of multiple images from kidney samples creates a high volume of data that is analyzed commonly by one single user. This is labor intensive, time consuming and can be subject to unreliable reproducibility by other users, due to user bias. Trainable Weka segmentation is an open-source software plugin for ImageJ that uses cutting edge bioinformatic tools to classify pixels using machine learning algorithms^15,16. This method is "trainable" whereby it learns from the user's classification of segments of pixels and applies the new learnt classification to other images. This method relies on common analysis tools within the ImageJ program that are used to "classify" each pixel in a segment as belonging to a specific "class". Once the program learns the "classifiers", they can be used to identify other similar classified segments within the same image. This model is then saved and applied to other sets of images within the same experiment.

Current obstacles to determining ecDNA in situ in kidney sections is the endogenous autofluorescence from fixation in formalin and the labor-intensive analysis of the images. We describe here how to quench this autofluorescence, detect ecDNA, and use supervised machine learning for high throughput measurement of ecDNA. We have previously published the measurement of NETs and extracellular MPO (ecMPO) using a macro in ImageJ, we now demonstrate semi automation of these methods using supervised machine learning¹. We demonstrate the adaptability of the machine learning tool, to classify an alternative stain for NETs and ecMPO within the same image. These staining methods described here for detecting ecDNA, NETs and ecMPO can be translated to other solid organs and diseases where ecDNA, NETS and ecMPO plays a role in perpetuating disease such as rheumatoid arthritis and lupus^17,18.

Protocol

This method enables detection of pan ecDNA from all forms of cell death. The same method and antibodies are used for human kidney biopsy tissue (from step 4). All animal and human subjects had Ethics approval from Monash University, and Monash Health, Clayton, Victoria, Australia.

1. Staining for ecDNA with DAPI and β-Actin

1. Induce a 20 day model of anti-myeloperoxidase glomerulonephritis (anti-MPO-GN) in 8-10 week old C57/Bl6 mice, with controls⁹.
   1. Euthanize mice humanely using a CO₂ chamber.
   2. Remove kidneys by making an anterior midline incision through the skin with scissors, and then carefully cut the peritoneum and pin back on a dissection board. Using forceps push aside the anterior renal fascia and parietal peritoneum and cut the kidney free by severing the ureter and blood vessels (renal artery and vein) at the renal pelvis. Remove with forceps and cut kidneys in half (sagittal plane) with a size 22 scalpel.
   3. Place kidney in fixative (4% buffered formalin) for 16 hours at room temperature (RT). Remove and soak fixed kidney in 30% ethanol for 24 hours prior to processing.
2. Process kidneys using a standard 6-hour cycle:
   70% ethanol for 15 min
   90% ethanol for 15 min
   100% ethanol for 15 min
   100% ethanol for 20 min
   100% ethanol for 25 min
   100% ethanol for 30 min
   Xylene for 20 min
   Xylene for 30 min
   Xylene for 40 min
   Wax for 30 min
   Wax for 35 min
   Wax for 40 min
   NOTE: This is important as kidneys should not be subjected to prolonged exposure to heat in the wax, as it can destroy antigens of interest.
3. Cut 3 µm sections on a microtome and mount on commercially available glass microscope slides coated with a positive charge. Allow to dry overnight.
4. Put glass slides into a slide rack into a 60 °C oven for 60 min.
   NOTE: Steps 1.3 and 1.4 are crucial to ensure sections do not float off during the antigen retrieval step.
5. Immerse slides in two changes of solvent (xylene or substitute) for 40 min each, in a fume hood.
6. Rehydrate slides in 100% ethanol, 100% ethanol, 70% ethanol for 5 min each. Wash for 5 min in tap water.
7. Place a hot plate in a fume hood and preboil antigen retrieval solution (10 mM Tris, 1 mM EDTA pH 9.0) in a pressure cooker. As soon as the antigen retrieval solution starts to boil, place the slides in the pot horizontally using a pair of tongs and lock the lid. Boil on high (equivalent to 15 psi or 103 kPa) for 10 min.
   NOTE: This step is crucial as it retrieves the antigen of interest by unmasking the antigen epitope (cross linked via formalin fixation) to allow epitope antibody specific binding the subsequent staining will not work without it.
8. Remove pressure cooker from heat and remove lid immediately by running cold tap on top of the lid in a sink. Leave slides to equilibrate for 20 min in the antigen retrieval solution.
9. Wash slides twice for 5 min in 0.01 M phosphate buffered saline (PBS) (pH 7.4) on an orbital shaker.
10. Use a hydrophobic pen to draw circles around the kidney tissue being careful not to let any tissue dry out in this time.
11. Block tissue in 10% chicken sera in 5% bovine serum albumin (BSA)/PBS (pH 7.4, 0.01 M) for 30 min, 60 µL per section. Do not wash after this step but carefully remove the blocking solution using a 60 µL pipette, do not let the sections dry out.
12. Apply primary antibody cocktail for β-actin diluted 1/1000 in 1% BSA/PBS (pH 7.4, 0.01 M), 60 µL per section and incubate overnight in a humidity chamber at 4 °C.
13. Wash slides twice for 5 min in PBS (pH 7.4, 0.01 M) on an orbital shaker.
14. Apply secondary antibody, chicken anti rabbit 488 (1/200), 60 µL per section diluted in 1%BSA/PBS (pH 7.4, 0.01 M) for 40 min at RT.
15. Wash the slides twice for 5 min in PBS (pH 7.4, 0.01 M) on an orbital shaker.
16. Immerse the slides in 0.3% Sudan Black in 70% ethanol for 30 min in a Coplin jar.
    NOTE: This step is important as it quenches the autofluorescence caused by formalin fixation.
17. Wash the slides in tap water to remove precipitate and then immerse in PBS (pH 7.4, 0.01 M) for 10 min to prevent further Sudan Black precipitate from forming.
18. Mount slides onto confocal glass coverslips using three 60 µL drops of mounting solution with DAPI and seal the coverslips with nail polish by applying around the perimeter of the coverslip.
19. Allow slides to cure for 24 hours at RT (to allow DAPI to penetrate) and then store at 4 °C protected from light.
    NOTE: Important to keep in the dark to prevent fading of fluorescent probes.
20. Image slides using a confocal laser scanning head attached to a microscope. Excite slides with the 405 laser for DAPI and the 488 Laser for Beta Actin. Capture single plane 1024 x1024 pixel images by using line-sequential capturing and 4-line averaging, which is essential for detecting ecDNA. 40x 1.0 NA oil objective is used.
    1. Image a minimum of 20 glomeruli per sample. Save images as ND2 files.

2. DAPI and β-Actin analysis

1. Install ImageJ: https://imagej.net/Fiji/Downloads.
2. Check that the trainable Weka segmentation is available under Plugins | Segmentation | Trainable Weka Segmentation.
3. Drop the image onto the ImageJ tool bar. Click Image | Color | Split Channels. One image with DAPI in blue staining all nuclei will appear and 1 image with β-actin in green will appear, which delineates the glomeruli.
   1. Create a merged file of the single images to draw a region of interest (ROI) for the glomerulus by clicking on Color | Merge Channels. A pop-up box will ask to assign a color to each channel. After assigning each channel a color, tick the Create Composite box and the Keep Source Images box and click Ok. A merged composite image will appear.
   2. Using the β-actin staining as a guide, draw a ROI around the glomerular tuft. Keep this image aside to use the ROI at the end of this protocol.
4. Perform a Gaussian blur on the single blue DAPI image. Click Process | Filters | Gaussian Blur, put in 1-2.00. The image will now look a little blurred, but nuclei are now smooth and background softened.
   NOTE: This step is preformed to remove noise to clean up the image from artifacts that may prevent relevant detection of image attributes to be analyzed.
5. Click on Plugins | Segmentation | Trainable Weka Segmentation.
6. Using the line tool on the tool bar in ImageJ, first trace around intact nuclei using the free hand tools (there are line, circular, and square tool options available to choose from) and then add to Add Class 1 box.
7. Using the line tool on the tool bar in ImageJ delineate areas of background to Class 2 box.
8. Click on the Create New Class button label on the Weka segmentation window and label "ecDNA." Use the line tool (from ImageJ tool bar) to delineate extranuclear DNA stained by DAPI.
9. Click on the Train Classifier button in the training menu in the trainable Weka segmentation window.
   NOTE: The STOP button will appear in place of the Train Classifier button and remain until the training has finished. Do not to click on this button during training as the process will be interrupted.
10. Click on Create Result button to create an image with all the classified components, consisting of intact nuclei, the background and identified ecDNA.
11. Click on the Get Probability button. Toggle the mouse to give a black and white image of all the classes with the object of selection highlighted in white.
12. Duplicate this image by clicking on Image | Duplicate.
13. Toggle to the screen using the mouse button that contains the ecDNA. Apply a threshold to get only what has been identified as ecDNA. Click Apply when the threshold is sufficient.
14. If after thresholding, there are more areas of DNA that are not ecDNA, return to the original trained image, add more classifiers, and repeat steps 2.1-2.13.
15. Click Image | Image Adjust | Make Binary. Copy the glomerular ROI made in step 2.3 and click Ctrl+Shift+E. Activate the Weka window by Edit | Selections | Restore, which restores the selection. Click Analyze Particles, which will measure only the ecDNA particles within the glomerulus.
    NOTE: A result sheet is computed with the count of particles, the area, averages pixels and the percentage of the glomerulus containing ecDNA. These results can be exported into a spreadsheet and saved, for later statistical analysis.
16. Save the classifier as ecDNA.classifier by clicking Save Classifier from the options menu into the ImageJ app on the desktop. Then click Save Data from the options menu and save as ecDNA.arff into the ImageJ folder. The ROI will have to be manually added each time as glomerulus size and shape will change, however the program has learnt what ecDNA is.
17. To reapply the model to subsequent images, repeat steps 2.1-2.5 with a new image. Click Load Classifier from the option menu and then ecDNAmodel.classifier in the ImageJ folder from step 2.16. The log menu will pop up and run the model.
18. Once the model has run, click on Load Data in the options menu and select the ecDNA.arff file saved in the ImageJ folder from step 2.16. Click on Create Result. If the resulting image has failed to pick up all the nuclei, background or ecDNA click on re-train classifier and add more classifiers and save the new model. Complete the analysis process by repeating steps 2.9-2.16.
    NOTE: Several images can be used to generate the final model used to detect ecDNA. This is achieved by applying the model to subsequent images, adding more classifiers and saving the new model and data into the ImageJ folder. This can be particularly important when different samples have higher background. The Weka Segmentation program is also compatible with ImageJ macro language which enables many of the commands to be macro recordable to automate some of the steps.

3. Measurement of neutrophil extracellular traps and ecMPO

NOTE: This method identifies NETs by colocalization of extracellular DNA, Citrullinated Histones peptidyl arginase 4 (PAD4) and MPO.

1. Induce a 20 day model of anti-myeloperoxidase glomerulonephritis (anti-MPO-GN) in 8-10 week old C57/Bl6 mice, with controls⁹.
   1. Euthanize mice humanely using a CO₂ chamber.
   2. Remove kidneys by making an anterior midline incision through the skin with scissors, and then carefully cut the peritoneum and pin back on a dissection board. Using forceps push aside the anterior renal fascia and parietal peritoneum and cut the kidney free by severing the ureter and blood vessels (renal artery and vein) at the renal pelvis. Remove with forceps and cut kidneys in half (sagittal plane) with a size 22 scalpel.
   3. Place kidney in fixative (4% buffered formalin) for 16 hours at room temperature (RT). Remove and soak fixed kidney in 30% ethanol for 24 hours prior to processing.
2. Process kidneys using a standard 6-hour cycle:
   70% ethanol for 15 min
   90% ethanol for 15 min
   100% ethanol for 15 min
   100% ethanol for 20 min
   100% ethanol for 25 min
   100% ethanol for 30 min
   Xylene for 20 min
   Xylene for 30 min
   Xylene for 40 min
   Wax for 30 min
   Wax for 35 min
   Wax for 40 min
   NOTE: Kidneys should not be subjected to prolonged exposure to heat in the wax, as it can destroy antigens of interest.
3. Cut 3 µm sections on a microtome and mount on commercially available glass microscope slides coated with a positive charge. Allow to dry overnight
4. Put glass slides into a slide rack into a 60 °C oven for 60 min.
   NOTE: Steps 3.3-3.4 are crucial to ensure sections do not float off during the antigen retrieval step.
5. Immerse slides in two changes of solvent (xylene or substitute) for 40 min each, in a fume hood.
6. Rehydrate slides in 100% ethanol, 100% ethanol, 70% ethanol for 5 min each.
7. Wash for 5 min in tap water.
8. Place a hot plate in a fume hood and preboil antigen retrieval solution (10 mM Tris-1 mM EDTA pH 9.0) in a pressure cooker. As soon as the antigen retrieval solution starts to boil place the slides in the pot horizontally using a pair of tongs and lock the lid. Boil on high (equivalent to 15 psi or 103 kPa) for 10 min.
   NOTE: This step retrieves the antigen of interest by unmasking the antigen epitope (cross linked via formalin fixation) to allow epitope antibody specific binding the subsequent staining will not work without this step.
9. Remove the pressure cooker from heat and remove the lid immediately by running cold tap on top of the lid in a sink. Leave slides to equilibrate for 20 min in the antigen retrieval solution.
10. Wash slides twice for 5 min in phosphate buffered saline (PBS) (pH 7.4, 0.01 M) on an orbital shaker.
11. Use a hydrophobic pen to draw circles around the kidney tissue being careful not to let any tissue dry out in this time.
12. Block tissue in 10% chicken sera in 5% bovine serum albumin (BSA)/PBS (pH 7.4, 0.01 M) for 30 min, 60 µL per section. Do not wash after this step but carefully remove the blocking solution using a 60 µL pipette. Do not let the sections dry out.
13. Make a cocktail of the primary antibodies diluted in 1%BSA/PBS (pH 7.4, 0.01 M) in 1 tube. Apply 60 µL per kidney sections. The concentration of the primary antibodies are as follows:
    Rabbit anti human/mouse H3Cit 1/100
    Mouse anti human/mouse PAD4 1/50
    Goat anti human/mouse MPO 1/200
14. Incubate overnight at 4 °C in a humidity chamber.
15. Wash slides twice for 5 min in PBS (pH 7.4, 0.01 M) on an orbital shaker.
16. Make a cocktail of the secondary antibodies in 1 tube. Secondary antibodies are applied in 1% BSA/PBS, 60 µL per section as follows:
    Chicken anti rabbit 488 1/200.
    Chicken anti mouse 647 1/200.
    Chicken anti goat 594 1/200.
17. Incubate at RT for 40 min.
18. Wash slides twice for 5 min in PBS (pH 7.4, 0.01 M) on an orbital shaker.
19. Apply secondary antibody 1:200 in 1%BSA/PBS (pH 7.4, 0.01 M) for 40 min at RT 60 µL per section.
20. Wash slides twice for 5 min in PBS (pH 7.4, 0.01 M) on an orbital shaker.
21. Immerse slides in 0.3% Sudan Black in 70% ethanol for 30 min.
22. Wash slides in tap water to remove precipitate and then immerse in PBS (pH 7.4, 0.01 M) for 10 min to prevent further Sudan Black precipitate from forming.
23. Mount slides onto confocal glass coverslips using three 60 µL drops of mounting solution with DAPI. Seal the coverslips with nail polish by applying around the perimeter of the coverslip.
24. Allow slides to cure for 24 hours at RT (to allow DAPI to penetrate) and then store at 4 °C protected from light. Keep in the dark to prevent fading of fluorescent probes.
25. Image slides using a confocal laser scanning head attached to a microscope. Excite slides with the 405 laser for DAPI and the 488 Laser for H3Cit, 561 for MPO, and 647 for PAD4. Capture single plane 1024x1024 pixel images by using line-sequential capturing and 4-line averaging which is essential for detecting ecDNA. Use a 40x 1.0 NA oil objective. Image a minimum of 20 glomeruli per sample. Save images as ND2 files.

4. Neutrophil extracellular traps and ecMPO Analysis

1. Install ImageJ: https://imagej.net/Fiji/Downloads.
2. Check that the trainable Weka segmentation is available under Plugins | Segmentation | Trainable Weka Segmentation.
3. Drop the image into ImageJ. Click Image | Color | Split Channels. One image with DAPI in blue staining all nuclei will appear, one image with H3Cit in green, one image with MPO in red, and one image with PAD4 in white will appear.
   1. Create a merged file of the single images to draw a ROI for the glomerulus by clicking on Color | Merge Channels. A pop-up box will ask to assign a color to each channel. After assigning each channel a color, tick the Create Composite box and the Keep Source Images box and click Ok. A merged image appears. Unlike the protocol for ecDNA previously we will use the composite image to perform the rest of the steps.
4. Perform a Gaussian blur on the composite image. This allows smoothing out of the nuclei. Click Process | Filters | Gaussian Blur, put in 1.00-2.00. The image will now look a little blurred but nuclei are now smooth and background softened.
   NOTE: This step is preformed to remove noise to clean up the image from artifacts that may prevent relevant detection of image attributes to be analyzed.
5. Click on Plugins | Segmentation | Trainable Weka Segmentation. A whole new window will appear with the image to be analyzed and Weka segmentation specific menu tools.
6. Using the line tool on the tool bar (in ImageJ), first trace around intact nuclei not positive for all 4 NET components (MPO, PAD4, DAPI and H3Cit) using the free hand tool and then add to the Add Class 1 box.
7. Using the line tool on the ImageJ tool bar delineate areas of background to the Class 2 box.
8. Click on the Create New Class button label in the label menu and label "NETs". Use the line tool to delineate NETS identified as co-localization DAPI (blue), MPO (red), PAD4 (white) and citrullinated histones (green).
9. Click on the Create New Class button label in the label menu and label "ecMPO". Use the line tool to delineate MPO (red) that is cell free.
10. Click on the Train Classifier button in the training menu in the Trainable Weka Segmentation window.
    NOTE: The STOP button will appear in place of the Train Classifier button and remain until the training has finished. Do not to click on this button during training and the process will be interrupted.
11. Click on Create Result button in the training menu and an image is created with all the classified components, consisting of intact nuclei, the background and what was identified as ecMPO.
12. Click on the Get Probability button in the training menu. Toggle the mouse to give a black and white image of all the classes with the object of selection highlighted in white.
13. Duplicate both the NET probability and the ecMPO probability image by clicking on Image | Duplicate.
14. Toggle to the screen using the mouse button that contains NETs. Apply a threshold to ensure only highlighting of identified NETs. On the ImageJ menu tool bar, click Image | Adjust | Threshold. Move the sliding toggle bars until on the NET components are highlighted. Click Apply when satisfied with the threshold. Repeat the same steps for ecMPO.
15. If after thresholding there are still detecting areas of ecMPO or NETs, go back to the original trained image and add more classifiers and reapply steps 4.1-4.14.
16. Click Image | Image Adjust | Make Binary. Copy the glomerular ROI made in step 4.3, click Ctrl+Shift+E. Activate Weka window by Edit | Selections | Restore, which restores the selection. Click Analyze Particles to measure only the NET particles within the glomerulus.
17. Toggle to the screen using the mouse button that contains ecMPO. Apply a threshold to ensure that only identified ecMPO are obtained. Click Apply when satisfied with the threshold. Repeat step 4.16 above.
    NOTE: A result sheet is computed with the Count of particles, the area, averages pixels and the percentage of the glomerulus containing both NETs and ecMPO. These results can then be put into a spreadsheet and saved, for later statistical analysis.
18. Save the classifier as NETs.classifier by clicking Save Classifier from the options menu and save file into the ImageJ app on the desktop (ImageJ folder). Then click Save Data from the options menu and save as NETs.arff file. The glomerular ROI will have to be manually added each time as glomerulus size and shape will change, but the program has learnt what both NETs and ecMPO are.
19. To reapply the model to subsequent images, repeat steps 4.1-4.5 with a new image. Click Load Classifier from the option menu. Click on Nets.classifier in the ImageJ folder. The log menu will pop up and run model, once the model has run click on Load Data in the options menu and select the NETs.arff file.
    1. Click on Create Result. If the resulting image has failed to pick up all the nuclei, background or ecDNA click on re-train classifier and add more classifiers and save the new model. Complete the analysis process by repeating steps 4.11-4.19.
       NOTE: Several images can be used to generate the final model used to detect ecDNA, ecMPO and NETs. This is achieved by applying the model to subsequent images, adding more classifiers and saving the new model and data into the ImageJ folder. This can be particularly important when different samples have higher background. The Weka Segmentation program is compatible with ImageJ macro language which enables many of the commands to be macro recordable to automate some of the steps.

Results

These images represent the multiple steps required to successfully use trainable Weka segmentation to minimize the labor-intensive manual measurement of ecDNA in fluorescently stained FFPE kidney tissue from a mouse with induced anti-MPO GN. These steps are summarized in Figure 1 and Figure 2 with images taken directly from the Weka segmentation program, outlining every step in the analysis process. Measurements from this analysi...

Discussion

Multiple protocols exist that measure proinflammatory markers in the serum and urine of both patients and mouse models of glomerulonephritis. This described protocol allows analysis of the products of cell death (ecDNA, NETs and ecMPO) within the glomerulus directly. The most crucial steps in this protocol is the tissue preparation and imaging. The major restricting element of using a fluorescent staining method for analysis is the tissue autofluorescence. Formalin fixed paraffin tissue is subject to autofluorescence tha...

Materials

Name	Company	Catalog Number	Comments
Bovine Serum Albumin	SIGMA	A2153	5% and 1% solutions are made up in PBS, can be made in bulk and frozen- discard once thawed.
Chicken anti Goat IgG (H+L) cross absorbed antibody Alexa Fluor 594	ThermoFisher Scientific	A-21468	Spin in mini centrifuge for 1 minute prior to use to avoid any free conjugate in your antibody cocktail
Chicken anti mouse IgG (H+L) cross absorbed antibody, Alex Fluor 647	ThermoFisher Scientific	A-121468	Spin in mini centrifuge for 1 minute prior to use to avoid any free conjugate in your antibody cocktail
Chicken anti rabbit IgG (H+L) Cross absorbed antibody Alexa Fluor 488	ThermoFisher Scientific	A-21441	Spin in mini centrifuge for 1 minute prior to use to avoid any free conjugate in your antibody cocktail
Chicken sera	SIGMA	C5405	Made up in 1%BSA/PBS
Coverslips 24 x60 mm	Azerscientific	ES0107222	#1.5 This is not standard thickness- designed for use in confocal microscopy
EDTA 10mM	SIGMA	E6758	Add TRIS and EDTA together in distilled water and pH to 9, for antigen retrieval, can be made up in a 10x Solution
Ethanol 30%, 70% and 100%	Chem Supply	UN1170	Supplied as 100% undenatured ethanol- dilute to 30% and 70% using distilled water
Formaldehyde, 4% (10% Neutral buffered Formalin)	TRAJAN	NBF-500	Kidney is put into a 5ml tube containing 3ml of formalin for 16 hours at RT, formalin should be used in a fume hood
Glass histology slides- Ultra Super Frost, Menzel Glaze, 25x75 x1.0mm	TRAJAN	J3800AM4	Using positive charged coated slides is essential. We do not recommend using poly-L-lysine for coating slides as tissue dislodges from slides during the antigen retrieval step
Goat anti human/mouse MPO antibody	R&D	AF3667	Aliquot and freeze at minus 80 degrees upon arrival
Histosol	Clini Pure	CPL HISTOSOL 08	Used neat, in 200ml staining rack containers, use in a fume hood
Hydrophobic pen	VECTOR Labs	H-400	Use to draw circle around kidney tissue
Mouse anti human/mouse Peptidyl arginase 4 (PAD4)	ABCAM	ab128086	Aliquot and freeze at minus 80 degrees upon arrival
Nikon C1 confocal scanning laser head attached to Nikon Ti-E inverted Microscope	Coherent Scientific		Aliquot and freeze at minus 80 degrees upon arrival
Phosphate Buffered Saline	SIGMA	P38135	0.01M PB/0.09% NaCl Make up 5L at a time
Pressure Cooker 6L Tefal secure 5 Neo stainless	Tefal	GSA-P2530738	Purchased at local homeware store
Prolong Gold DAPI	Life Technologies	P36962	Apply drops directly to coverslip
Rabbit anti human/mouse Beta Actin antibody	ABCAM	ab8227	Aliquot and freeze at minus 80 degrees upon arrival
Rabbit anti human/mouse H3Cit antibody	ABCAM	ab5103	Aliquot and freeze at minus 80 degrees upon arrival
Staining rack 24 slides	ProScitech	H4465	Staining rack chosen has to be able to withstand boiling under pressure and incubation in 60 degree oven
Sudan Black B	SIGMA	199664	0.3% Add 3g to a 1L bottle in 70% Ethanol, filter and protect from the light- stable for 6 months at room temperature
Tris 10mM	SIGMA	T4661	Add TRIS and EDTA together in distilled water and pH to 9, for antigen retrieval, can be made up in a 10x solution
Xylene	Trajan	XL005/20	Must be use used in a fume hood