Literature DB >> 35586313

ChipCytometry for multiplexed detection of protein and mRNA markers on human FFPE tissue samples.

Sebastian Jarosch1, Jan Köhlen1, Sabrina Wagner1, Elvira D'Ippolito1, Dirk H Busch1.   

Abstract

In this protocol, we describe the use of ChipCytometry to combine RNA in situ hybridization and antibody staining for multiplexed tissue imaging of human formalin-fixed and paraffin-embedded tissue samples. The advantages of ChipCytometry are long-term storage for re-interrogation and advanced image quality by high dynamic range imaging of staining and background. A titrated pretreatment of tissue samples bypasses challenges because of the retrieval of antigens on coverslips and achieves an optimal staining quality at the minimal expense of tissue integrity. For complete details on the use and execution of this protocol, please refer to Jarosch et al. (2021).
© 2022 The Author(s).

Entities:  

Keywords:  Antibody; In Situ Hybridization; Microscopy; Molecular Biology; Single Cell

Mesh:

Substances:

Year:  2022        PMID: 35586313      PMCID: PMC9109191          DOI: 10.1016/j.xpro.2022.101374

Source DB:  PubMed          Journal:  STAR Protoc        ISSN: 2666-1667


Before you begin

The protocol describes the use of ChipCytometry to combine RNA in situ hybridization and antibody staining for deep tissue phenotyping of human FFPE samples. The protocol has been tested on several tissue types including colon, lung, tonsil, breast, kidney and pancreatic samples. FISH is described as an optional procedure. The overall protocol should also serve as a guideline for ChipCytometry including data export and automated analysis.

Institutional permissions

Inflamed colon tissue biopsies were kindly provided by Prof. Dr. Ernst Holler from patients who experienced GvHD after HSCT enrolled at the University hospital of Regensburg. All procedures were approved by local ethics committee (ethical committee of the University of Regensburg - 09/059 and 18-684482-101) and performed after informed, written consent of patients regarding use of the tissue samples.

Key resources table

Materials and equipment

Antigen retrieval buffer Store up to two weeks at 4°C. CRITICAL: Adjust pH to 8.5 using HCl. The exact pH is essential for an optimal retrieval of antigens. Sudan Black B Solution Store long term at −20°C. True black® solution has been tested and can be used as well for autofluorescence quenching. PBST Store up to two months at 4°C. 20× Sodium saline citrate (SSC) buffer (pH 7.00) Store up to two months at 21°C–24°C (RT). Quenching buffer Prepare fresh for each usage and protect from light.

Step-by-step method details

Pretreatment of tissue samples

Timing: 1 day + drying and melting overnight This step ensures the retrieval of antigens from FFPE tissue sections for later antibody staining, reduction of unspecific antibody binding and quenching of pre-existing tissue autofluorescence. The protocol provides two options to proceed with the tissue samples for optional RNA in-situ hybridization (Figure 1).
Figure 1

Schematic overview of the two processing options provided in the protocol

After the general preprocessing (steps 1 and 2), the tissues can either be prepared for combined staining of mRNA and proteins (steps 3–5) or for proteins only (steps 6 and 7).

Deparaffinization and rehydration of tissue sections: Cut 4–5 μm tissue sections of your tissues of interest and place them on 24 mm coated coverslips (included in the Zellkraftwerk Chip Kit). Let the sections dry for at least 12 h at 21°C–24°C (RT) after cutting. Transfer the coverslip into a coverslip staining rack for the subsequent procedures. Incubate dry sections 12–16 h (overnight) at 60°C in a dried oven and increase the temperature to 70°C for 30 min the next day in order to completely melt the paraffin. Incubate 3 × 10 min in Xylene (Roticlear®) at 21°C–24°C (RT). Incubate 2 × 10 min in absolute Ethanol (EtOH) at 21°C–24°C (RT). Incubate 5 min in 90% EtOH at 21°C–24°C (RT). Incubate 5 min in 70% EtOH at 21°C–24°C (RT). Incubate 5 min in 50% EtOH at 21°C–24°C (RT). Keep the coverslips in the 50% EtOH until the antigen retrieval solution is heated up to 90°C (set the temperature for the water bath slightly higher in order to achieve this temperature within the retrieval solution). Depending on the heating speed of the water bath, it might be appropriate to switch on the water bath when the coverslips are transferred from the oven to Xylene. A station for deparaffinization and rehydration allows smooth processing of the samples. Especially the transfer from the oven to the first basin of Xylene needs to be as short as possible to avoid paraffin leftovers. Antigen retrieval: Rinse the coverslips in tap water. Carefully transfer the coverslips from tap water into the pre-heated retrieval solution. Incubate for 20 min at 90°C. Remove the coverslips from the antigen retrieval solution and slowly transfer them to a jar filled with PBS at 21°C–24°C (RT). From here on it is essential to prevent the tissue from drying out, since this would affect tissue integrity and stainability. Schematic overview of the two processing options provided in the protocol After the general preprocessing (steps 1 and 2), the tissues can either be prepared for combined staining of mRNA and proteins (steps 3–5) or for proteins only (steps 6 and 7). Proceed to step 6 if FISH is not performed. In general, RNA in-situ hybridization (Wang et al., 2012) is performed as described in the RNAScope protocol. Protease treatment was shown to destroy epitopes for subsequent antibody staining and has been skipped in order to ensure high antibody staining quality for ChipCytometry. Probe hybridization for fluorescence in situ hybridization (FISH): Remove the coverslips from the rack and place them horizontally on a piece of paper. Create a hydrophobic barrier around the tissue using a hydrophobic barrier pen. For all incubation steps performed on the coverslips, make sure that the whole tissue is covered with reagent. Usually 150–200 μl are an adequate volume depending on the tissue size. Washing steps are performed by rinsing the coverslips in 1 mL steps. Incubate in H2O2 (included in the RNAScope Kit) for 10 min at 21°C–24°C (RT). Wash (carefully rinse the coverslip) with 10 mL H2O. Incubate with Sudan Black B for 10 min at 21°C–24°C (RT). Carefully rinse coverslip with 1 mL 70% EtOH [10 times]. CRITICAL: Washing of Sudan Black B is important to preserve high signal intensities. Excessive Sudan Black B leftover on the tissue may lead to reduced staining intensities. Wash with 10 mL PBS. Hybridize probes for 2 h at 40°C according to instructions of the RNAScope multiplex fluorescence kit. Wash with RNAScope wash buffer. To prevent the tissues from drying out during the incubation, place a wet tissue paper in the incubator underneath the sample slides and cover it with a lid to create a humidified chamber. Chip loading for FISH: Wipe off any liquid from the coverslip that is not covering the tissue itself. Remove the adhesive film from the ZellSafeTM tissue chip. Transfer the coverslip to the chip and make sure that the whole tissue is located within the visible window of the chip. Gently press together the chip and the coverslip to assure that the system is leakproof. Rinse the chip with 5 mL 5× Sodium saline citrate (SSC) buffer and remove any air bubbles. Air bubbles should be strictly avoided and removed immediately in case of appearance. FISH signal amplification, acquisition and quenching: Scan background of the tissue with the ChipCytometry microscope while it is in 5× SSC buffer (chip can be stored in 5× SSC up to 16 h at 4°C). Rinse the chip with 10 mL wash buffer. Follow the instructions of the RNAScope in situ hybridization kit for signal development. Opal dyes compatible with the fluorescent channels of the Zellscanner instrument are listed in Table 1.
Table 1

Filter set specifications

Filter setExcitation [nm]Emission [nm]Exposure time [ms]Tested dyes
FS395364–366381–4031,000Hoechst 33342, DAPI, BUV395
FS421370–410440–48550BV421, eF450, PB, Hoechst, DAPI
FS488450–490500–550500FITC, AF488, GFP, Opal520
FS560525–575570–640300PE, eF570, Opal570
FSPerCP456–484672–748300PerCP, PerCP-Cy5.5, Opal650
ALL (Bleach)390–64420,000

BV = Brilliant Violet, BUV = Brilliant Ultraviolet, eF = eFluor, PB = Pacific Blue, DAPI = 4′,6-Diamidino-2-phenylindole, FITC = Fluorescein isothiocyanate, AF = Alexa Fluor, GFP = Green Fluorescent Protein, PE = Phycoerythrin, PerCP = Peridinin-Chlorophyll-Protein.

Rinse the chip with 5 mL PBS. Acquire signals in the corresponding channels with the ChipCytometry microscope. Rinse the chip with 5 mL quenching buffer. Incubate 30 min under white light at 21°C–24°C (RT), exchange buffer every 5 min to avoid formation of air bubbles in the chip. Rinse with 20 mL PBST. Proceed with cyclic immunofluorescence via ChipCytometry (step 8). Steps 6 and 7 represent the preprocessing for the option without FISH staining. Chip loading for antibody staining only: Wipe off any liquid from the coverslip that is not covering the tissue itself. Transfer the coverslip on the ChipCytometry chip according to manufactureŕs instructions making sure that the whole tissue is located within the visible window of the chip. Rinse the chip with 5 mL PBS and remove any air bubbles. Air bubbles should be strictly avoided and removed immediately in case of appearance. Pre-treatments enhancing specificity and quality of antibody staining. Blocking: Add 500 μL of 5% goat serum in PBST into the chip. Incubate for 1–2 h at 21°C–24°C (RT). Rinse with 1 mL PBS [5 times]. Autofluorescence quenching: Add 500 μL 0.1% Sudan Black B solution into the chip, incubate 10 min at 21°C–24°C (RT). Rinse with 1 mL of 70% ethanol, incubate 1 min at 21°C–24°C (RT). Wash (gently push) with 1 mL of 70% ethanol, wait 1 min [2 times]. Wash (push faster) with 1 mL of 70% ethanol, wait 1 min [2 times]. The washing of Sudan Black B within the chip is more difficult than on the coverslip (compare steps 3e and f). Repeat the washing procedure if there are visible components of the Sudan Black B solution still inside the chip. Rinse with 1 mL PBST [3 times]. Force liquid flow by pushing PBST through the channel. Rinse with 1 mL PBST, wait 1 min [3 times]. CRITICAL: Washing of Sudan Black B is important to keep signal intensities high. If too much Sudan Black B is still on the tissue, this may lead to reduced staining intensities. Filter set specifications BV = Brilliant Violet, BUV = Brilliant Ultraviolet, eF = eFluor, PB = Pacific Blue, DAPI = 4′,6-Diamidino-2-phenylindole, FITC = Fluorescein isothiocyanate, AF = Alexa Fluor, GFP = Green Fluorescent Protein, PE = Phycoerythrin, PerCP = Peridinin-Chlorophyll-Protein.

Cyclic immunofluorescence via ChipCytometry

Timing: 1–2 weeks This step describes the general procedure of ChipCytometry as cyclic immunofluorescence method. The specifications for individual channels can be found in Table 1. Photobleaching before the first background acquisition can further reduce autofluorescence of the sample and might be considered if the tissue is prone to high autofluorescence. Acquire a background image in all required channels using the ChipCytometry microscope. Rinse the chip with 5 mL PBST in order to establish a liquid flow through the chip. Staining: Prepare 300 μL antibody master mix per chip containing all antibodies in titrated concentration, mix by pipetting [10 times]. Centrifuge master mix for 10 min 16.000 × g (or max speed) at 4°C to remove dye or antibody aggregates. Transfer 290 μL of the mix into the chip without touching the bottom of the tube. Incubate 8–14 h at 4°C (shorter incubation times are possible depending on the epitope). Rinse the chip with 20 mL PBST. Acquire the signal in the dedicated channels using the ChipCytometry microscope. Photo bleach each position for 20 s using the ChipCytometry microscope. All photobleaching steps are performed with the built-in HBO lamb (Zeiss HBO 100 Microscope Illuminator with a 364 nm long pass filter to protect epitope damage from UV light). Wash the chip with 5 mL PBST. Repeat steps 8–14 until all markers (see Table 2 for a list of validated markers) have been stained on a chip.
Table 2

Validated antibodies ChipCytometry with human FFPE samples

EpitopeConjugateFilter setCloneCompanyCat numberDilutionIncubationLocalization
CD14AF488FS488EPR3653Abcamab1333351:100o.n. 4°CSurface
CD103AF488FS488EPR4166(2)abcamab2251521:100o.n. 4°CSurface
CD4AF488FS488polyclonalR&D systemsFAB8165G1:50o.n. 4°CSurface
CD68FITCFS488KP1Santa-Cruzsc-20060 FITC1:100o.n. 4°CSurface
Collagen IVAF488FS488Thermo Fisher53-9871-801:100o.n. 4°CSurface
Cytokeratin (Pan)AF488FS488C11BioLegend6286081:100o.n. 4°Cintracellular
NF-kbAF488FS488E379abcamab1902051:50o.n. 4°Cintranuclear
VimentinAF488FS488O91D3BioLegend6778091:300o.n. 4°CSurface
VinculinAF488FS4887F9Invitrogen53-9777-821:100o.n. 4°CSurface
CD45BUV395FS395HI30BD Bioscience5637911:80o.n. 4°CSurface
Annexin A1PEFS560EPR19342abcamab2255121:100o.n. 4°CSurface
beta-CateninPEFS560L54E2Cell Signaling6898S1:300o.n. 4°Cintranuclear
CD117PEFS560104D2Thermo Fisher12-1178-411:100o.n. 4°CSurface
CD123PEFS5606H6BioLegend3060061:150o.n. 4°CSurface
CD133PEFS560clone 7BioLegend3728031:100o.n. 4°CSurface
CD20PEFS560H1BD Bioscience5611741:200o.n. 4°CSurface
CD45RAPEFS560HI100BioLegend3041081:600o.n. 4°CSurface
CD45ROPEFS560UCHL1BioLegend3042061:150o.n. 4°CSurface
CD57PEFS560HNK-1BioLegend3596111:100o.n. 4°CSurface
CD79aPEFS560HM47BioLegend3335031:100o.n. 4°CSurface
CD8PEFS560C8/144BSantaCruzsc53212 PE1:50o.n. 4°CSurface
E-CadherinPEFS56024E10Cell Signaling7559S1:100o.n. 4°CSurface
Foxp3PEFS560236A/E7eBioscience12-4777-421:30o.n. 4°Cintranuclear
GATA-3PEFS560L50-823BD Pharmingen5600741:50o.n. 4°Cintranuclear
Ki-67PEFS560B56BD Bioscience5560271:50o.n. 4°Cintranuclear
Mast Cell ChymasePEFS560CC1SantaCruzsc-595861:100o.n. 4°CSurface
Mast Cell TryptasePEFS560G3SantaCruzsc-336761:200o.n. 4°CSurface
Muc2PEFS560SPM296Novus34757PE1:300o.n. 4°CIntracellular
PD-1PEFS560NAT105BioLegend3674041:50o.n. 4°CSurface
PD-L1PEFS56029E.2A3BioLegend3297061:200o.n. 4°CSurface
pSTAT3PEFS560D3A7Cell Signaling81191:150o.n. 4°Cintranuclear
SMAeF570FS5601A4eBioscience41-9760-801:500o.n. 4°CSurface
CD20PerCP/Cy5.5FSPerCPH1BD Bioscience5580211:25o.n. 4°CSurface
CD45PerCP/Cy5.5FSPerCPHI30BioLegend3040281:50o.n. 4°CSurface
CD45RAPerCP/Cy5.5FSPerCPHI100BioLegend3041221:100o.n. 4°CSurface
CD56PerCPFSPerCP123C3.D5Novus33132PCP1:100o.n. 4°CSurface
Ki-67PerCP/Cy5.5FSPerCPB56BD Bioscience5612841:50o.n. 4°Cintranuclear
CD45RABV421FS421HI100BioLegend3041291:100o.n. 4°CSurface
CD3unconjugatedSP7Thermo ScientificRM-9107-S11:150o.n. 4°CSurface
anti-Rabbit2nd FITCFS488polyclonalBioLegend4064031:2002 h RTsecondary
anti-Rabbit2nd PEFS560polyclonalBioLegend4064211:3002 h RTsecondary

eF = eFluor, FITC = Fluorescein isothiocyanate, AF = Alexa Fluor, PE = Phycoerythrin, PerCP = Peridinin-Chlorophyll-Protein, o.n. = overnight (8–14 h).

Pause point: After bleaching and washing, the chip can be kept at 4°C for several months. However, for some markers the staining intensity may decrease over time. If the chip is kept for more than seven days, rinse with 2 mL Zellkraftwerk Storage buffer (included in the ZellSafe Chip Kit). Validated antibodies ChipCytometry with human FFPE samples eF = eFluor, FITC = Fluorescein isothiocyanate, AF = Alexa Fluor, PE = Phycoerythrin, PerCP = Peridinin-Chlorophyll-Protein, o.n. = overnight (8–14 h).

Expected outcomes

The integrity of the tissue should stay stable over the course of pre-treatments. Any signs of tissue detachment or disruption hint to an error in sample handling (see troubleshooting section for more details). The Sudan Black B incubation may lead to some small black particles on the tissue which do not interfere with the staining. If such an interference is observed, the number of washing steps with 70% ethanol can be increased. The staining should result in high-contrast images with clear shape of the surface membrane or intranuclear location depending on the marker. Signals from FISH staining should have a scattered shape (Figure 2).
Figure 2

Expected outcome images from a ChipCytometry experiment

Upper row shows the correlation of CD3 staining via FISH and antibody staining. Lower row shows exemplary markers from a ChipCytometry experiment including mutually exclusive surface markers (CD3/CD20 and CD4/CD8) as well as intranuclear staining (FoxP3/nuclei). Scale bars indicate 10 μm.

Expected outcome images from a ChipCytometry experiment Upper row shows the correlation of CD3 staining via FISH and antibody staining. Lower row shows exemplary markers from a ChipCytometry experiment including mutually exclusive surface markers (CD3/CD20 and CD4/CD8) as well as intranuclear staining (FoxP3/nuclei). Scale bars indicate 10 μm.

Quantification and statistical analysis

Timing: 1 week This section should provide a step-by-step guidance for the automated analysis of ChipCytometry imaging data using an ImageJ (Schindelin et al., 2012) pipeline for signal quantification. Adjust images and export them for quantification: Find the ideal combination between contrast and background adjustment in the ZellExplorer App of the ChipCytometry instrument (Figure 3).
Figure 3

Exemplary images showing the process of finding the ideal values for the background (BG) factor and the contrast adjusted in the ZellExplorer App

The numbers above each image indicate (BG factor, contrast) values. The red frame indicates the ideal BG/contrast values for this CD3 staining. The scale bar indicates 10 μm.

Select ‘grayscale’, ‘16 bit’ and ‘also generate tiff’ options. Apply the settings to all positions. Copy the scan-folder to another location and rename it according to the corresponding marker. CRITICAL: The quality of the quantified data is highly dependent on the exported images. Therefore, the image adjustments at this step need to be performed very carefully. Reducing the background to a minimum is thereby prioritized over visual intensity of the staining itself (Figure 3). It is always recommended to copy the image folders to another location and not to perform any processing on the raw data directly! Installation instructions for the image analysis pipeline. ImageJ Macro: Download Fiji (https://imagej.net/software/fiji/). Download the scripts from the GitHub repository (https://github.com/SebastianJarosch/ChipCytometry-Image-Processing). In ImageJ run Plugins/Install Plugin… and select the automatic_image_processing.ijm file from the repository. Optional ImageJ plugins: BaSIC: In Fiji run Help/Update Fiji/Manage Update Sites and add “BaSiC” to the update sites. Apply changes and restart ImageJ. For further instructions check the original repository: https://github.com/marrlab/BaSiC. StarDist: In Fiji run Help/Update Fiji/Manage Update Sites and add “CSBDeep” and “StarDist” to the update sites. Apply changes and restart ImageJ. For further instructions check the original repository: https://github.com/stardist/stardist-imagej/ Exemplary images showing the process of finding the ideal values for the background (BG) factor and the contrast adjusted in the ZellExplorer App The numbers above each image indicate (BG factor, contrast) values. The red frame indicates the ideal BG/contrast values for this CD3 staining. The scale bar indicates 10 μm. Changes on the installation instructions depending on package/code updates in the future will be provided in the documentation of the pipeline on our repository (https://github.com/SebastianJarosch/ChipCytometry-Image-Processing). Automatic quantification of signal intensities: Run the script “automatic_image_processing.ijm” in ImageJ and select the folder that contains all the exported images as input directory. Go through the selection process of parameters and analyses (Figure 4).
Figure 4

Specifying parameters for automatic quantification

The graphical interface allows the user to specify parameters from data format via the markers to be analyzed until the specific analysis steps are selected.

Select “ChipCytometry” as input data type. Specify properties of the tissue sample. The organism is just meant to be specified for documentation. The tissue type defines some parameters in the later processing (Table 3).
Table 3

Tissue specific analysis parameters

Analysis stepCell suspensionSpleen/LNColon/stomach/pancreas/breast
Separate epithelial cell quantificationnooptionaloptional
ROI enlargement after segmentation1 μm1 μm1.5 μm
Min size / max size / min circularity50 / 2000 / 0.7570 / 400 / 0.5570 / 400 / 0.55
Calculation of the tissue sizenooptionaloptional
Spatial spillover correctionnooptionaloptional

ROI = Region of interest.

Tile properties for the size of the area can be extracted from the overview panel in the Cell Explorer App. Shading correction corrects individual tiles derived from scanning microscopy. For this option, the BaSIC plugin (Peng et al., 2017) needs to be installed. The correction is dependent on the “LDRFL.png” images which are part of the ChipCytometry output structure. Shading correction has not been extensively tested yet, but preliminary assessments show an improvement in reducing artifacts deriving from double-bleaching of the edges at each position (Figure 5).
Figure 5

Exemplary image shows the effect of shading correction with BaSIC plugin

The rectangles mark the corrected areas. The scale bar indicates 100 μm.

“Clean folder” removes all unnecessary files to save disk space. Only the TIFF and PNG files are kept for each position and marker. Select the markers to quantify. Also specify if some of the markers contain intranuclear staining or RNA in situ hybridization (FISH). For intranuclear markers, minimum filter and spatial spillover correction are not necessary and will not be performed once a marker has been defined as intranuclear. Furthermore, this marker will not be considered for aggregate removal. Select the pre-processing and analysis steps you would like to perform. “Extract erythrocytes” uses an early background in the PerCP marker to estimate erythrocyte numbers, taking advantage of their autofluorescence. “Aggregate removal” (not recommended yet) tries to detect large blobs in the images as aggregates. “Create merge image” provides an overview about the tissue architecture, and up to seven markers can be merged in this step. Markers can be selected after the image stitching is finished. By default, vimentin, SMA, nuclei and pan-cytokeratin are selected. The intensity of a marker within the merged image can be weighted (1 = merge of the full-intensity image). “Segmentation” allows to define individual cells either by thresholding or neuronal network segmentation with StarDist (Weigert et al., 2020). Furthermore, the markers for nuclei and epithelial cell staining can be selected here. There might be some degree of under-segmentation via manual thresholding. The segmentation via the pre-trained neuronal network showed higher performance in terms of absolute number of quantified cells but might tend to over-segmentation dependent on the tissue type (Figure 6). It is generally recommended to carefully check the segmentation for each individual sample analyzed. Models trained on ChipCytometry data directly could further improve segmentation performance with the StarDist plugin for special tissue types.
Figure 6

Nuclei segmentation options

Nuclear segmentation based on manual thresholding (left) or using the pre-trained neuronal network from StarDist (right). The scale bar indicates 20 μm.

“FL value calculation” selects and specifies preprocessing steps. “Marker consistency check” controls if images are available for all positions in all markers. An error will be thrown in case of any inconsistency. “Measure tissue size” measures the size of the tissue according to the segmentation marker. This is very helpful for later quantification and allows quantifying counts per mm2. “Spatial spillover correction” performs spatial spillover correction and lets you specify parameters for the threshold (the signal gets excluded when > threshold % of the signal are present in one of the quadrants) and the minimum intensity (signals below this value will not be taken into account). For preliminary testing of the pipeline, it is recommended to reduce the dataset to a small area of the tissue and to reduce the number of analysis steps (e.g., stitching only or quantification without spillover correction) in order to save computing time. Furthermore, export settings can be validated on the stitched images of the whole sample and adjusted if necessary before running the signal quantification. Conversion of intensity data to the FCS file format for quantitative analysis for example using writeFCS in MATLAB (https://de.mathworks.com/matlabcentral/fileexchange/42603-writefcs-fname-data-text-other) or fcswrite in python (https://github.com/ZELLMECHANIK-DRESDEN/fcswrite). For more information on the conversion, please refer to our GitHub repository where you will find the instructions and code to convert your generated signal intensities into FCS files. Gating cell populations for quantification using flow cytometry software (e.g., FlowJo). Specifying parameters for automatic quantification The graphical interface allows the user to specify parameters from data format via the markers to be analyzed until the specific analysis steps are selected. Tissue specific analysis parameters ROI = Region of interest. Exemplary image shows the effect of shading correction with BaSIC plugin The rectangles mark the corrected areas. The scale bar indicates 100 μm. Nuclei segmentation options Nuclear segmentation based on manual thresholding (left) or using the pre-trained neuronal network from StarDist (right). The scale bar indicates 20 μm.

Limitations

The combination of antibody staining and RNA in situ hybridizations allows scientists to add an additional layer of information to ChipCytometry experiments. However, the treatment conditions for the in-situ hybridization might affect the staining quality of the following antibody staining, which needs to be considered in the experimental planning. Furthermore, the throughput of the method is still limited and it needs to be improved in order to allow an even broader applicability of the described method.

Troubleshooting

Problem 1

Low tissue integrity is preserved after antigen-retrieval (step 2) or the whole tissue detaches from the coverslip during this step.

Potential solution

The antigen-retrieval has been tightly titrated and it is essential to stick to the temperatures and incubation times. Check whether the actual temperature in the antigen retrieval is at 90°C. Always calibrate the pH instrument before measuring the retrieval solution, as a wrong pH can lead to tissue detachment.

Problem 2

Dye aggregates affect the acquisition of high-quality images during cyclic immunofluorescence (step 12) by interference with the actual staining as white blobs (Figure 7A).
Figure 7

Troubleshooting

(A) Extreme example of accumulated dye aggregates in a surface marker staining. The actual staining on the cell surface is barely visible but still present as visualized in the zoom-in on the right.

(B) Background intensity increases with time during the acquisition. Shown are 5 consecutive positions of a CD8 staining.

(C) Repositioning problem of the background image for the position on the right. The intranuclear staining can still be visually detected, but the background is not subtracted properly.

(D) Dust particle (marked with a dashed line) moved in the chip between the background and staining acquisition. By autofluorescence in the background channel, it generates a dark area in the subtracted image as well as an autofluorescence artifact at the new position. Scale bars indicate 50 μm.

Troubleshooting (A) Extreme example of accumulated dye aggregates in a surface marker staining. The actual staining on the cell surface is barely visible but still present as visualized in the zoom-in on the right. (B) Background intensity increases with time during the acquisition. Shown are 5 consecutive positions of a CD8 staining. (C) Repositioning problem of the background image for the position on the right. The intranuclear staining can still be visually detected, but the background is not subtracted properly. (D) Dust particle (marked with a dashed line) moved in the chip between the background and staining acquisition. By autofluorescence in the background channel, it generates a dark area in the subtracted image as well as an autofluorescence artifact at the new position. Scale bars indicate 50 μm. Dye aggregates should be removed by centrifugation of the staining master mix. However, for some aggregation-prone antibodies it might be necessary to centrifuge the stock solution and transfer the supernatant into a new storage tube. Filtering of the antibody might also be an option to avoid the transfer of dye aggregates into the chip.

Problem 3

Low staining quality due to background intensity shading in parts of the chip. Here the background is getting brighter during the cyclic immunofluorescence acquisition (step 12) and is not matching the background before the staining (Figure 7B). In case of shading, additional washing of the chip might help. This shade usually arises from unbound antibodies which are still on the chip and are fading back from the outlet position of the chip. Therefore, titrating down the antibody dilution might help as well, since less unbound antibody would be present inside the chip.

Problem 4

Positions of the chip have been shifted in either background or staining cycles leading to a mismatch between staining and background (Quantification step 1). Ultimately, staining artifacts can be generated because the background is not subtracted correctly for individual positions (Figure 7C). Manually readjust the x and y shift of the corresponding positions in ZellExplorer App. If many positions are affected, all positions can be shifted automatically (this might take some time). Another reason for a mismatch between background and staining cycles or even between staining cycles might be that the chip was not correctly positioned within the microscope. The scan app will throw an error only for the first position in this case, so make sure to check the chip position if an error appears.

Problem 5

Moving dust particles accumulate inside the chip, generating artifact either in the background (resulting in false negative signals) or in the staining cycle (resulting in false positive signals). In most of the cases, they cannot be removed once they entered the chip (Figure 7D). Sterile filtering of buffers (PBS, PBST, water) and storage in smaller aliquots (100–250 mL) might help to minimize the chance for dust particles to get into the chip via the buffer. In addition, the inlet should be covered whenever possible, for example with the lid of a 15 mL tube.

Resource availability

Lead contact

Further information and requests for resources and reagents should be directed to and will be fulfilled by the lead contact, Dirk Busch (dirk.busch@tum.de).

Materials availability

This study did not generate new unique reagents.
REAGENT or RESOURCESOURCEIDENTIFIER
Antibodies

Anti-human pan-cytokeratin (AF488, 1:100)BioLegendRRID: AB_2616664
Anti-human CD4 (AF488, 1:50)R&D systemsRRID: AB_2728839
Anti-human CD14 (AF488, 1:100)AbcamRRID: AB_2889158
Anti-human CD68 (FITC, 1:100)Santa CruzCat#: sc-20060 FITC
Anti-human NF-kB (AF488, 1:50)AbcamCat#: ab190205
Anti-human Vimentin (AF488, 1:300)BioLegendRRID: AB_2650955
Anti-human CD103 (AF488, 1:100)AbcamRRID: AB_2884944
Anti-human Vinculin (AF488, 1:100)Thermo Fisher ScientificRRID: AB_2574473
Anti-human CD45 (BUV395, 1:80)BD BiosciencesRRID: AB_2744400
Anti-human Foxp3 (PE, 1:30)Thermo Fisher ScientificRRID: AB_1944444
Anti-human Ki-67 (PE, 1:50)BD BiosciencesRRID: AB_2266296
Anti-human CD45RA (PE, 1:600)BioLegendRRID: AB_314412
Anti-human GATA-3 (PE, 1:50)BD BiosciencesRRID: AB_1645330
Anti-human CD8 (PE, 1:50)Santa CruzRRID: AB_1120718
Anti-human CD20 (PE, 1:200)BD BiosciencesRRID: AB_10563904
Anti-human CD45RO (PE, 1:150)BioLegendRRID: AB_314422
Anti-human PD-L1 (PE, 1:200)BioLegendRRID: AB_940368
Anti-human SMA (eFluor570, 1:500)Thermo Fisher ScientificRRID: AB_2573630
Anti-human PD-1 (PE, 1:50)BioLegendRRID: AB_2566065
Anti-human pSTAT3 (PE)Cell Signaling TechnologyRRID: AB_10859889
Anti-human beta-Catenin (PE, 1:300)Cell Signaling TechnologyRRID: AB_10828097
Anti-human CD133 (PE, 1:100)BioLegendRRID: AB_2632879
Anti-human CD79a (PE, 1:100)BioLegendRRID: AB_1089076
Anti-human Annexin A1 (PE, 1:100)AbcamCat#: ab225512
Anti-human CD57 (PE, 1:100)BioLegendRRID: AB_2562758
Anti-human E-Cadherin (PE, 1:100)Cell SignalingRRID: AB_10950323
Anti-human Muc2 (PE, 1:300)NovusCat#: 34757PE
Anti-human CD123 (PE, 1:150)BioLegendRRID: AB_314580
Anti-human CD45 (PerCP/Cy5.5, 1:50)BioLegendRRID: AB_893338
Anti-human Ki-67 (PerCP/Cy5.5, 1:50)BD BioscienceRRID: AB_10611574
Anti-human CD20 (PerCP/Cy5.5, 1:25)BD BioscienceRRID: AB_396990
Anti-human CD45RA (PerCP/Cy5.5, 1:100)BioLegendRRID: AB_893357
Anti-human CD56 (PerCP, 1:100)NovusCat#: 33132PCP
Anti-human CD45RA (BV421, 1:100)BioLegendRRID: AB_10900421
Anti-human CD3 (unconjugated, 1:150)Thermo Fisher ScientificRRID: AB_149924
Anti-rabbit IgG (secondary, FITC, 1:200)BioLegendRRID: AB_893531
Anti-rabbit IgG (secondary, PE, 1:300)BioLegendRRID: AB_2563484

Biological samples

Biopsies from aHSCT patientsUniversity hospital of Regensburg (Prof. Ernst Holler)N/A

Chemicals, peptides, and recombinant proteins

HoechstThermo Fisher ScientificCat#: H3570
Ethanol absolute, 1% MEKCarl RothCat#: K928
Ethanol 70%, 1% MEKCarl RothCat#: T913
Roticlear ®Carl RothCat#: A538
Tween20Carl RothCat#: 9127
Tris(hydroxymethyl)aminomethane (TRIS)Carl RothCat#: 9429
Ethylenediaminetetraacetic acid (EDTA)Carl RothCat#: X986
Sudan Back BSigma-AldrichCat#: 199664
True BlackBiotiumCat#: 23007
Dulbecco’s phosphate-buffered saline (DPBS)PAN-BiotechCat#: P04-36050P
Sodium BorohydrideSigma-AldrichCat#: 71320
Hydrogen peroxide (H2O2)Sigma-AldrichCat#: H1009
Opal 520Akoya BioscienceCat#: FP1487001KT
Opal 570Akoya BioscienceCat#: FP1488001KT
Opal 650Akoya BioscienceCat#: FP1496001KT

Critical commercial assays

RNAscope Multiplex Fluorescent Reagent Kit v2ACDBioCat#: 323100
RNAscope Probe DiluentACDBioCat#: 300041
ZellSafe Chip kit FFPECanopy BioscienceCat#: 28050606/04

Deposited data

Code and dataset for pipeline testingJarosch et al., (2021)https://github.com/SebastianJarosch/ChipCytometry-Image-Processing

Software and algorithms

ImageJ 1.53cSchindelin et al., (2012)https://imagej.net/software/fiji/
Affinity photo V1.8.3Serif Europe Ltd. 2020https://affinity.serif.com/
FlowJo 10FlowJo LLChttps://www.flowjo.com
Prism 9GraphPadhttps://www.graphpad.com
Automated fluorescence signal quantificationJarosch et al., (2021)Zenodo https://doi.org/10.5281/zenodo.5533411

Other

ZellScannerONECanopy BioscienceCat#: 28050606/20-001
Coverglass staining rackEprediaCat#: 114

Antigen retrieval buffer

ReagentFinal concentrationAmount
TRIS10 mM1.21 g
EDTA1 mM0.37 g
ddH2On/a1 L
Totaln/a1 L

Store up to two weeks at 4°C.

Sudan Black B Solution

ReagentFinal concentrationAmount
Sudan Black B0.1% (w/v)10 mg
70% Ethanol (EtOH)n/a10 mL
Total0.1% (w/v)10 mL

Store long term at −20°C.

PBST

ReagentFinal concentrationAmount
Tween-200.1% (v/v)1 mL
PBSn/a999 mL
Total0.1% (v/v)1 L

Store up to two months at 4°C.

20× Sodium saline citrate (SSC) buffer (pH 7.00)

ReagentFinal concentrationAmount
Sodium Chloride (NaCl)3 M175.3 g
Sodium citrate2.9 M88.2 g
ddH2On/a1 L
Totaln/a1 L

Store up to two months at 21°C–24°C (RT).

Quenching buffer

ReagentFinal concentrationAmount
Hydrogen Peroxide (35% v/v)4.5% (v/v)2.6 mL
1 N NaOH24 mM480 μL
Phosphate buffered saline (PBS)n/a16.9 mL
Totaln/a20 mL

Prepare fresh for each usage and protect from light.

  4 in total

1.  RNAscope: a novel in situ RNA analysis platform for formalin-fixed, paraffin-embedded tissues.

Authors:  Fay Wang; John Flanagan; Nan Su; Li-Chong Wang; Son Bui; Allissa Nielson; Xingyong Wu; Hong-Thuy Vo; Xiao-Jun Ma; Yuling Luo
Journal:  J Mol Diagn       Date:  2012-01       Impact factor: 5.568

2.  Fiji: an open-source platform for biological-image analysis.

Authors:  Johannes Schindelin; Ignacio Arganda-Carreras; Erwin Frise; Verena Kaynig; Mark Longair; Tobias Pietzsch; Stephan Preibisch; Curtis Rueden; Stephan Saalfeld; Benjamin Schmid; Jean-Yves Tinevez; Daniel James White; Volker Hartenstein; Kevin Eliceiri; Pavel Tomancak; Albert Cardona
Journal:  Nat Methods       Date:  2012-06-28       Impact factor: 28.547

3.  A BaSiC tool for background and shading correction of optical microscopy images.

Authors:  Tingying Peng; Kurt Thorn; Timm Schroeder; Lichao Wang; Fabian J Theis; Carsten Marr; Nassir Navab
Journal:  Nat Commun       Date:  2017-06-08       Impact factor: 14.919

4.  Multiplexed imaging and automated signal quantification in formalin-fixed paraffin-embedded tissues by ChipCytometry.

Authors:  Sebastian Jarosch; Jan Köhlen; Rim S J Sarker; Katja Steiger; Klaus-Peter Janssen; Arne Christians; Christian Hennig; Ernst Holler; Elvira D'Ippolito; Dirk H Busch
Journal:  Cell Rep Methods       Date:  2021-10-27
  4 in total

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