Qualitative and Quantitative Analysis of the Immune Synapse in the Human System Using Imaging Flow Cytometry

Summary

Here, we describe a complete workflow for the qualitative and quantitative analysis of immune synapses between primary human T cells and antigen-presenting cells. The method is based on imaging flow cytometry, which allows the acquisition and evaluation of several thousand cell images within a relatively short period of time.

Abstract

The immune synapse is the area of communication between T cells and antigen-presenting cells (APCs). T cells polarize surface receptors and proteins towards the immune synapse to assure a stable binding and signal exchange. Classical confocal, TIRF, or super-resolution microscopy have been used to study the immune synapse. Since these methods require manual image acquisition and time-consuming quantification, the imaging of rare events is challenging. Here, we describe a workflow that enables the morphological analysis of tens of thousands of cells. Immune synapses are induced between primary human T cells in pan-leukocyte preparations and Staphylococcus aureus enterotoxin B (SEB)-loaded Raji cells as APCs. Image acquisition is performed with imaging flow cytometry, also called In-Flow microscopy, which combines features of a flow cytometer and a fluorescence microscope. A complete gating strategy for identifying T cell/APC couples and analyzing the immune synapses is provided. As this workflow allows the analysis of immune synapses in unpurified pan-leukocyte preparations and hence requires only a small volume of blood (i.e., 1 mL), it can be applied to samples from patients. Importantly, several samples can be prepared, measured, and analyzed in parallel.

Introduction

T cells are major regulators of the adaptive immune system and are activated through antigenic peptides that are presented in the context of major histocompatibility complexes (MHC). Full T-cell activation requires two signals, the competence signal via the antigen-specific T-cell receptor (TCR)/CD3 complex and the costimulatory signal via accessory receptors. Both signals are generated through the direct interaction of T cells with antigen-presenting cells (APCs). Mature APCs provide the competence signal for T-cell activation through MHC-peptide complexes, and they express costimulatory ligands (e.g., CD80 or CD86) to assure the progression of T-cell activation¹. One important function of costimulation is the rearrangement of the actin cytoskeleton^2,3,4. The cortical F-actin is relatively static in resting T cells. T-cell stimulation through antigen-bearing APCs leads to a profound rearrangement of the actin cytoskeleton. Actin dynamics (i.e., fast actin polymerization/depolymerization circles) enable the T cells to create forces that are used to transport proteins or organelles, for example. Moreover, the actin cytoskeleton is important for developing a special contact zone between T cells and APCs, called the immune synapse. Due to the importance of the actin cytoskeleton to the immune synapse, it has become essential to develop methods to quantify changes in the actin cytoskeleton of T cells^5,6,7,8,9.

By means of actin cytoskeletal aid, surface receptors and signaling proteins are segregated in supramolecular activation clusters (SMACs) within the immune synapse. The stability of the immune synapse is assured by the binding of receptors to F-actin bundles that increase the elasticity of the actin cytoskeleton. Immune synapse formation has been shown to be critical for the generation of the adaptive immune responses. The detrimental effects of a defective immune synapse formation in vivo were first realized in patients suffering from Wiskott Aldrich Syndrome (WAS), a disease in which actin polymerization and, concomitantly, immune synapse formation are disturbed¹⁰. WAS patients can suffer from eczema, severe recurrent infections, autoimmune diseases, and melanomas. Despite this finding, it is currently not known whether immune synapse formation differs in the T cells of healthy individuals and patients suffering from immune defects or autoimmune diseases.

Fluorescence microscopy, including confocal, TIRF, and super-resolution microscopy, were used to uncover the architecture of the immune synapse^11,12,13,14. The high resolution of these systems and the possibility of performing live-cell imaging enables the collection of exact, spatio-temporal information about the actin cytoskeleton and surface or intracellular proteins in the immune synapse. Many results, however, are based on the analysis of only a few tens of T cells. Moreover, T cells must be purified for these types of fluorescence microscopy. However, for many research questions, the use of unpurified cells rather than the highest-possible resolution is of the utmost importance. This is relevant if T cells from patients are analyzed, since the amount of donated blood is limited and there might be the need to process many samples in parallel.

We established microscopic methods that allow the analysis of the actin cytoskeleton in the immune synapse in the human system^15,16,17. These methods are based on imaging flow cytometry, also called In-Flow microscopy¹⁸. As a hybrid between multispectral flow cytometry and fluorescence microscopy, imaging flow cytometry has its strengths in analyzing morphological parameters and protein localization in heterogeneous cell populations, such as pan-leukocytes from the peripheral blood. We introduced a methodology that enables us to quantify F-actin in T-cell/APC conjugates of human T cells from whole-blood samples, without the need of time-consuming and costly purification steps¹⁷. The technique presented here comprises the whole workflow, from getting the blood sample to the quantification of F-actin in the immune synapse.

Protocol

1. Preparation of Pan-leukocytes

1. Draw 1 mL of peripheral blood from a healthy donor (or patient) in a heparinized syringe. Make sure to have approval by the responsible ethics committee for the blood donation.
2. Mix 1 mL of human peripheral blood with 30 mL of ACK lysis buffer (150 mM NH₄Cl, 1 mM KHCO₃, and 0.1 mM EDTA, pH 7.0) in a 50 mL tube and incubate for 8 min at room temperature.
3. Fill the tubes with PBS and centrifuge at 300 x g for 6 min. Aspirate the supernatant and resuspend the pellet in 30 mL of ACK lysis buffer.
4. Repeat steps 1.2 and 1.3 until the supernatant is clear. Finally, wash the cells in PBS, centrifuge at 300 x g for 6 min at room temperature, and resuspend the cell pellet in 2 mL of culture medium (RPMI1640 + 10% FCS). Incubate the cells at 37 °C for 60 min.

2. Loading of Raji Cells with SEB

1. Prepare two 15 mL Falcon tubes with 1.5 x 10⁶ Raji cells per tube. Spin down the cells (300 x g for 6 min at room temperature) and discard the supernatant.
2. Resuspend the cells in residual medium (about 50–100 µL), add 1.9 µL (1.9 µG) SEB, and incubate at room temperature for 15 min. Add 5 mL of culture medium, spin down the cells (300 x g for 6 min at room temperature), and resuspend the pellet in culture medium (RPMI1640 + 10% FCS) at a density of 1 x 10⁶ cells/mL.

3. Induction of Immune Synapses and Staining Protocol

1. Pipette 500 µL of the preparation of SEB-loaded Raji cells into a FACS tube and 500 µL of the preparation of unloaded Raji cells into another FACS tube. Add 650 µL of pan-leukocytes to each tube and spin down the cells (300 x g for 10 min at room temperature). Discard the supernatant and resuspend the pellet in 150 µL of culture medium (RPMI1640 + 10% FCS). Incubate at 37 °C (typically for 45 min).
2. Gently vortex the cells (10 s at 1,000 rpm) and add 1.5 mL of paraformaldehyde (1.5%) during the vortex to fix the cells. Stop the fixation by adding 1 mL of PBS + 1% BSA. Pellet the cells (300 x g for 10 min at room temperature and resuspension the cell pellet in 1 mL of PBS + 1% BSA after incubating at room temperature for 10 min.
3. Pellet (300 x g for 10 min at room temperature) and resuspend the cells in 100 µL of PBS + 1% BSA + 0.1% saponin for 15 min at room temperature to permeabilize the cells (96-well plate, U-shaped).
4. Wash the cells in PBS + 1% BSA + 0.1% saponin with centrifugation (300 x g for 10min at room temperature) and resuspend the cell pellet in 50 µL of PBS + 1% BSA + 0.1% saponin containing fluorophore-labelled antibodies or compounds (CD3-PE-TxRed (1:30), Phalloidin-AF647 (1:150), and DAPI (1:3,000)).
5. Incubate the cells at room temperature in the dark for 30 min. Wash the cells 3 times by adding 1 mL of PBS + 1% BSA + 0.1% saponin. Centrifuge at 300 x g for 10 min at room temperature. Re-resuspend the cells in 60 µL of PBS for imaging flow cytometry.

4. Image Acquisition Using a Flow Cytometer

NOTE: The following image acquisition procedure and data analysis are based on imaging flow cytometry using software such as imagestream (IS100), INSPIRE, and IDEAS. However, other flow cytometers and analysis software can also be used.

1. Open the analysis software on the computer connected to the imaging flow cytometer and click on Initialize Fluidics of the Instrument menu. Apply the beads on the right port when prompted to do so.
2. Load the default template from the File menu and click on Run/Setup. Choose Beads from the View dropdown menu.
3. Adjust the bright-field illuminator by clicking on Set Intensity if the indicated value is below 200.
4. Run the calibration and test routine in the Assist tab by clicking on Start All.
5. Click on Flush/Lock/Load and apply the samples in the left port when prompted to do so. After loading the cells in the flow cytometer, open the Cell Classifier and adjust the values as follows: peak intensity upper limit at 1,022 for each channel, peak intensity lower limit at 50 for channel 2 (DAPI) and channel 5 (CD3-Pe-TxR), area lower limit at 50 for channel 1 (side scatter), and upper limit at 1,500.
6. Change the excitation laser power to 405 nm (15 mW), 488 nm (200 mW), and 647 nm (90 mW) in the Setup tab.
7. Switch the View dropdown menu between Cells and Beads to evaluate the cell classifier and laser power adjustments.
   NOTE: Make sure that all cells and cell couples are found the Cell View and that cell clumps, debris, and images with saturated pixels are found in the Debris View by changing the cell classifiers and/or the excitation laser powers.
8. Define the sample name and the amount of images to acquire (15,000–25,000 for samples and 500 for compensation controls) in the Setup tab. Click on Run/Setup to start the acquisition.

5. Data analysis

1. Transfer the raw image files (.rif) to the data analysis computer and open the analysis software.
2. Produce a compensation matrix following the instructions of the Compensation dropdown. Save the compensation matrix as comp_Date.ctm.
3. Open a sample raw image file (.rif) and apply the comp_Date.ctm in the window that appears to produce the compensated image files (.cif) and the default data analysis file (.daf).
4. Open the compensated image file. Convert the images to color mode and adjust the lookup tables to obtain optimal visible colors in the Image Gallery Properties toolbar. Obtain an RGB-merged image using the Composite tab of the Image Gallery Properties toolbar.
5. Open the Mask Manager from the Analysis dropdown. Create masks to define the T cells and the immune synapse, as follows:
   1. Select the T-cell mask: "(Fill(Threshold_Ch05, 60)." Select the valley mask: "Valley(Ch02,3)." Select the T-cell synapse mask: "T-cell mask AND Valley(M02,Ch02, 3)."
6. Open the Feature Manager from the Analysis dropdown. Calculate the following features:
   1. For the total CD3 expression in T cells, select "Intensity_T-cells_Ch5." For the total amount of F-actin in the T cells, select "Intensity_T-cells_Ch6." For CD3 expression in the immune synapse, select "Intensity_T-cell synapse_Ch5." For the amount of F-actin in the immune synapse, select "Intensity_T-cell synapse_Ch6."
   2. To calculate the T-cell area, select "Area_T-cells." To calculate the T-cell immune synapse area, select "Area_T-cell synapse."
7. Determine the F-actin and CD3 enrichment in the immune synapse by using the equation in the Feature Manager:
   
8. Apply the following gating strategy by using histograms and dot plots from the Analysis area (for further details, see References 17 and 19):
   1. Discard out-of-focus cells by plotting the "Gradient RMS_M2_Ch2" in a histogram; set the threshold at 15.
   2. Plot the SSC versus CD3 intensity in a dot plot. Set a gate on CD3-positive events.
   3. Plot the "Aspect ratio" of M02 (DAPI stain) versus the area of M02 (Dapi stain). Gate on T-cell singlets and cell couples accordingly. Correct for true cell couples using the area of the synapse mask, as described previously^17,19.
   4. Determine the amount of F-actin in T-cell singlets and T cells of T-cell/APC couples and the percent of F-actin in the immune synapse.

Results

A major goal of the method described here is the quantification of protein enrichment (e.g., F-actin) in the immune synapse between surrogate APCs (Raji cells) and T cells in unpurified pan-leukocytes taken from low-volume (1 mL) human blood samples. The screenshot in Figure 1 gives an overview of the critical gating strategy of this method. It shows the image gallery on the left and the analysis area on the right (Figure 1). The image gallery sh...

Discussion

The workflow presented here enables the quantification of immune synapses between human T cells (ex vivo) and APCs. Notably, erythrocyte-lysed pan-leukocytes were used as T-cell sources, making T-cell purification steps dispensable. The B-cell lymphoma cell line Raji served as surrogate APCs. This bears significant advantages, since it allows comparisons between blood donors of the T-cell side of the immune synapse. Furthermore, autologous DCs are hardly available directly from peripheral human blood. The production of m...

Materials

List of materials used in this article

Name	Company	Catalog Number	Comments
>Multifuge 3 SR	Heraeus
RPMI 1640	LifeTechnologies	#11875085	500 mL
FCS	Pan Biotech#3302-P101102
Polystyrene Round Bottom Tube	Falcon	#352054	5 mL
Kulturflasche	Thermo Scientific	#178883
Dulbecco's Phosphate Buffered Saline	Sigma	D8662
Bovine Serum Albumin	Roth	#8076.3
Saponin	Sigma	S7900
Paraformaldehyde	Sigma Aldrich	#16005
FACS Wash Saponin		PBS 1% BSA 0.15 Saponin
ReaktiosgefaB	Sarstedt	72.699.002	0.5 mL
Speed Bead	Amnis	#400041
Minishaker MS1	IKA Works	MS1
Mikrotiterplatte	Greiner Bio One	#650101	96U
Enterotoxin SEB	Sigma Aldrich	S4881
DAPI	Sigma Aldrich	D9542	1:3000
CD3-PeTxR	Invitrogen	MHCD0317	1:30
Phalloidin-AF647	Molecular Probes	A22287	1:150
IS100	Amnis		Imaging flow cytometer
IDEAS	Amnis		Software
INSPIRE	Amnis		Software