Here, we describe a method for creating double-emulsion droplets encapsulating one T cell and a cancer target cell to examine cell killing at the single-cell level. This method allows for dual quantification of both cytotoxic molecules and target-cell apoptosis within a large population of T cells.
The assessment of the cytotoxic potential of T cell-based therapies, such as chimeric antigen receptor (CAR) T cell treatments, is instrumental in assessing their efficacy and is a prerequisite for clinical application. However, traditional cytotoxicity assays are conducted as bulk assays and do not provide detailed information about the functional heterogeneity of the CAR T cell population. In this study, we describe a double-emulsion droplet-based method that allows for large-scale co-encapsulation of single effector CAR T cells with single target cells while enabling dual quantification of both cytotoxic effector molecules from T cells and cell death of the target cell. The protocol outlines a method for the generation and purification of CD19-specific CAR T cells, followed by their co-encapsulation in droplets with the CD19+ cell line JeKo-1, along with reagents to visualize cytotoxic effector molecule secretion (Granzyme B) and cell death (using propidium iodide, PI). We demonstrate how to generate droplets containing single CAR T and target cells using a commercially available microfluidics device for generating double emulsion droplets. Additionally, we provide examples of how to assay the functional diversity of CAR T cells in droplets using standard flow cytometry equipment. Finally, we briefly describe the temporal kinetics and heterogeneity of CD19-specific CAR T-cell killing. While this method focuses on cell death following a CAR T cell attack, it is also adaptable for examining other types of T cells, cytotoxic immune cells, and effector cell functions, such as cytokine secretion.
Chimeric antigen receptor (CAR) T cell therapy is a rapidly expanding field of cellular cancer immunotherapy that has proven effective against various forms of leukemia, lymphoma1, and multiple myeloma2. CAR T cells are generated by modifying T cells with a synthetic antigen receptor that can selectively bind to surface proteins such as CD19 or B-cell maturation antigen (BCMA), expressed on B cells, plasma cells, and their malignant counterparts. Recent advances in CAR design have enabled the targeting of multiple antigens simultaneously3, relying on multiple input signals, or binding exclusively to tumor-associated antigens, such as specific protein isoforms4. Additionally, several CARs are now being tested against targets of non-hematological cancers5.
Cytotoxicity assays are essential for both CAR development and quality control before clinical products are released6,7,8. However, most current assays depend on bulk populations of effector CAR T cells added in excess to cancer cell lines, which can lead to false-positive results due to bystander effects9 and result in a poor correlation between in vitro and in vivo outcomes10. Since T cell proliferation and long-term persistence depend on the signals received during initial activation events11,12, closely examining cytotoxic events at the single-cell level is of great interest.
To address the limitations of bulk methodologies, cytotoxicity studies at the single-cell level can be performed using flow cytometry13,14,15,16,17 and imaging-based assays18. However, even though standard flow cytometry offers single-cell resolution for quantifying and characterizing both effector and target cells, it cannot directly determine the specific cytotoxic ability of individual CAR T cells towards target cells. Additionally, imaging individual CAR T cells interacting with their respective targets in bulk is challenging and time-consuming due to the consistent motility of cells. To address these challenges, novel tools for single-cell analysis have been developed that rely on pairing effector and target cells in spatially confined spaces using microwell arrays19,20,21, microraft arrays22, microchips23, and droplet microfluidics24,25,26. These tools provide enhanced measurement sensitivity, enabling the investigation of fewer cells using reduced reagent volumes. However, several challenges remain, including efficient cell pairing, the limited number of samples that can be analyzed, reliance on imaging-based analysis only, and difficulties retrieving viable cell populations for further analyses.
Here, we utilize a commercially available microfluidics device that allows for a massively simplified approach to droplet-based microfluidics. This device enables advanced single-cell analysis and assays to be performed using highly stable double-emulsion (DE) droplets. Compared to microwell- and traditional droplet-microfluidics assays, the protocol outlined here does not require extensive microfludics expertise.
DE droplets are small spherical compartments composed of an oil shell with an aqueous core suspended in an aqueous solution. The aqueous droplet contains and retains cells, cell secretome, cell medium, and assay reagents, allowing for complex assays to be performed within each compartment. Using the microfluidics device, DE droplets are generated with a set volume (approximately 100 pL) suitable for mammalian single-cell or cell-cell interaction assays, which can be generated in very high numbers (approximately 750,000 droplets per sample) and in a short timeframe (approximately 10 min for 8 samples) by general lab users without specialized knowledge in microfluidics. The generated droplets can be suspended in the cell medium, thus allowing trans-shell diffusion of O2 and CO2 and buffering of the interior while at the same time retaining hydrophilic and larger molecules such as cell-secreted effector molecules. The examined cells are thus adequately buffered, allowing for examination over time of cell-cell interactions and temporal dynamics. In contrast to single emulsion droplets (e.g., water-in-oil droplets)27, the DE droplets are robust structures that do not fuse or merge in standard cell incubators. Because of their stability and an aqueous outer phase, they are also compatible with downstream analysis procedures such as traditional flow cytometry. These picoliter droplets generated by the microfluidics device can, therefore, be used for high throughput single-cell analysis of cell function to elucidate functional heterogeneity hidden in traditional bulk assays.
Here, we outline a protocol that utilizes DE droplets to examine CD19-specific CARs' cytotoxic potential toward lymphoma cells. Our protocol allows for single-cell analysis of target killing and Granzyme B (GzmB) secretion and reveals that approximately 20% of the CAR T cells examined here have immediate killing potential.
The CAR T cells used in this study were generated by lentiviral transduction of primary T cells with a CD19scFv-CD28-CD3ΞΆ-tNGFR CAR construct in a certified biosafety GMO class 2 laboratory and declassified following 4 days according to institute standard. Purified T cells were from discarded surplus material from anonymized blood donations and were exempt from further ethical approvals as per Danish law.
1. Generation of CAR T cells
NOTE: The name of the reagents used below uses generic and abbreviated names. The full commercial name can be found in parenthesis in Table of Materials.
2. Generation of droplets encapsulating T cells and target cells
NOTE: Prior to encapsulation, T cells, and JeKo-1 cells are stained with different cell stains to monitor droplet cellular content. Cells are encapsulated with assay reagents and incubated for 2-6 h before the droplets are analyzed on the flow cytometer (see Figure 2).
3. Downstream analysis of droplets
Following transduction, the T cells were analyzed for CAR expression by flow cytometry using anti-CD3 and anti-NGFR antibodies. The CAR T cell population was subsequently enriched using anti-NGFR magnetic beads, resulting in a purity of over 98% for both donors (Figure 1A-B). The CD4/CD8 ratio and memory phenotype of sorted CAR cells used were also quantified, using a standard gate strategy utilizing CCR7 and CD45RA antibodies. These data show that the CD4/CD8 ratio of CAR T cells used was 0.73, and cells were primarily of naΓ―ve-like memory phenotype (Figure 1C-E).
CAR T cells and JeKo-1 cells were stained with violet and far-red dyes, respectively, and encapsulated in DE50 droplets together with assay reagents GzmB substrate and PI (Figure 2). Alternatively, CAR T cells can also be labeled using antibodies such as anti-CD4 or anti-CD8 (Figure 3), enabling a more detailed characterization of T cells. Each T cell suspension (CAR T or NTD) was mixed with a JeKo-1 cell suspension immediately before encapsulation at an effector: target cell ratio of 1:3 (0.5 x 106 T cells and 1.5 x 106 JeKo-1). Following encapsulation, each droplet production (CAR T cells + JeKo-1 and NTD + JeKo-1) was divided into three incubation tubes for 2 h, 4 h, and 6 h incubation, respectively. The cells were incubated inside the droplets at 37 Β°C in 5% CO2 and then analyzed by microscopy and flow cytometry at the indicated time points.
We performed fluorescence microscopy of double-emulsion droplets after 4 h of incubation (Figure 4). The intensity of the green fluorescence signal (FITC) illustrates the level of secreted GzmB activity of CAR T cells or NTDs inside the DE50 droplets. Figure 4B presents phase contrast and fluorescence microscopy images of a single GzmB-positive droplet containing a CAR T cell and a JeKo-1 target cell in close contact.
Next, DE50 droplets were analyzed by flow cytometry to quantify the percentage of CAR T cells with early GzmB secretion and cytotoxic cell-killing activity (Figure 5). Pre-incubation staining of JeKo-1 target cells with a far-red dye and effector T cells with a violet dye before encapsulation facilitated the identification of three distinct cell-containing droplet populations as the cells are distributed in droplets based on Poisson distribution. The droplet populations identified are droplets with T cells alone, JeKo-1 cells alone, and T cells and JeKo-1 cells together (Figure 5A). Droplets co-encapsulating T cells with JeKo-1 cells were gated and analyzed for signals indicating GzmB activity (Figure 5B) and cell death, as indicated by PI (Figure 5C).
The encapsulation of cells in droplets follows Poisson distribution, and four different droplet populations are obtained (Figure 6A). Figure 6B shows the level of GzmB positive droplets within all droplet populations after 6 h incubation of droplets from which the percentage of spontaneous GzmB-secreting T cells can be determined. These data indicate the high specificity of the method, as only CAR T-cells secrete GzmB.
Finally, we quantified GzmB and PI levels across time points, following 2 h, 4 h, and 6 h of co-incubation. For reference, the droplets containing only T cells and only JeKo-1 cells were analyzed to examine the background cell death in each population (Figure 6C). The background cell death was used to determine the percentage of live GzmB-secreting and target cell-killing T cells in the population of effector cells (Figure 7), as described in step 3.3. CAR T cells from two donors exhibited a time-dependent increase in both target-cell-induced GzmB secretion and cell-killing activity. Nearly 36% of the live CAR T cells from Donor 1 and 31% from Donor 2 had secreted GzmB after 6 h co-encapsulation with the target cell, a significant increase compared to NTD control T cells (Figure 7A). Correspondingly, about 21% of the live Donor 1 and 22% of the live Donor 2 CAR T cells had killed target cells, as indicated by a positive PI signal (Figure 7B). The percentage of CAR T cells that had secreted GzmB exceeded the percentage of killed target cells at each time point, consistent with the expected sequence of events in GzmB-mediated cytotoxicity. Taken together, these data show that the method presented here allows for the characterization of the heterogeneity in individual T cell cytotoxicity within a population of cells as well as comparisons between different populations.
Figure 1: Representative flow cytometry plots following NGFR sorting. (A) Following approximately 10 days of expansion, CAR T cells were sorted using NGFR-specific microbeads and magnetic sorting, resulting in a population of CAR T cells that was >98% CAR T cells. (B) Quantification of CAR T cells from two donors used in this study before and after sorting. (C) Gating strategy used for examining CD4/CD8 ratio and memory phenotype of T cells. (D) Quantification of CD4 and CD8 of T cells used. (E) Quantification of memory phenotype of T cells used. Abbreviation: CM = central memory, EM = effector memory, NTD = non-transduced, TEMRA = terminally differentiated effector cells. Please click here to view a larger version of this figure.
Figure 2: Workflow for the combined GzmB secretion and cytotoxicity assay with single-cell resolution in droplets. Before encapsulation in DE droplets, the target and effector cells are stained separately using violet and far-red cell stains. Using the microfluidics device and the encapsulation cartridge, effector cells are co-encapsulated with target cells in droplets together with cell medium, PI, and FAM-labeled GzmB peptide substrate. The assay and incubation take place within the droplets. Secreted GzmB activity is indicated by emission of green fluorescence that occurs after GzmB cleaves the substrate. Cell death is indicated by PI. After incubation, DE50 droplets are analyzed by microscopy and/or flow cytometry. Please click here to view a larger version of this figure.
Figure 3: Analysis of droplet encapsulated PBMCs pre-labelled with anti-CD3, anti-CD4, and anti-CD8 antibodies. (A) Microscopy images of droplets with encapsulated PBMCs pre-labelled with anti-CD3 (APC) and anti-CD4 (NIR) antibodies. Scalebar = 100 Β΅m. (B) As (A), but with CD3 (FITC) and anti-CD8 (NIR) labeling instead. Scalebar = 100 Β΅m. (C) Flow cytometry analysis of the same droplets. Please click here to view a larger version of this figure.
Figure 4: Microscope images of droplets with effector and target cells. Images were taken after 4 h incubation in a standard 37 Β°C, 5% CO2 humidified cell incubator. (A) Droplets from a sample with encapsulated NTD and JeKo-1 cells (left) or CAR T cells and JeKo-1 cells (right) imaged by fluorescence microscopy using the FITC channel to detect GzmB positive (green) droplets. Scalebar = 500 Β΅m. (B) A single droplet imaged by phase contrast, FITC (GzmB), APC (JeKo-1 cell), and DAPI (CAR T cell). Scalebar = 100 Β΅m. Please click here to view a larger version of this figure.
Figure 5: Gating strategy for analyzing droplets by flow cytometry following incubation. (A) Gating was done by forward and side-scatter to identify droplets, followed by selecting the gate containing the droplets. The events outside the gate represent oil droplets produced as a byproduct of double-emulsion droplet production. Subsequent fluorescence analysis of droplets in channels corresponding to the applied cell stains identifies four droplet populations: droplets containing both T cells and JeKo-1 cells (red square); droplets with JeKo-1 cells alone; droplets with T cells alone; and empty droplets. (B) Representative histograms for GzmB signal in double-positive droplets across time points and between NTD and CAR T cells. (C) Representative histograms for PI signal in double-positive droplets across time-points and between NTD and CAR T-cells. All droplet measurements are performed as intensity height (H) measurements. Please click here to view a larger version of this figure.
Figure 6: Internal control and reference populations. (A) Each of the four quadrants from Figure 5A was selected, and GzmB and PI were measured in each. This type of quantification allows for background signals to be measured and subtracted before a final analysis of T-cell efficacy is performed. (B) Graph showing the frequency GzmB positive droplets after 6 h incubation for each of the four droplet populations, exemplified with data from the Donor 1 CAR T sample. (C) Background cell death was determined in JeKo-1-only and T cell-only control droplet populations at each time point measured, with data from donor 1. The background cell death is used for calculating the frequency of live GzmB secreting and cell-killing effector cells shown in Figure 7Β and explained in step 3.3. Abbreviations: Pre = encapsulation.Β Please click here to view a larger version of this figure.
Figure 7: Quantification of T cells capable of secreting GzmB and killing JeKo-1 cells in double-positive droplets. Double positive droplets gated from two donors were examined following 2 h, 4 h, and 6 h co-incubation in droplets. (A) Frequency of target cell-encountering T cells secreting GzmB and comparison between NTD T cells and CAR T cells. (B) Frequency of target cell-encountering T cells killing the co-encapsulated target cell. Abbreviations: GzmB = granzyme B, NTD = non-transduced, PI = propidium iodide. * = P-value < 0.05, ** = P-value < 0.005, **** = P-value < 0.0001 by two-way ANOVA. Please click here to view a larger version of this figure.
Here we present a method for examining T cells' cytotoxic potential at the single-cell level using an easy to use commercially available microfluids device to evaluate the cytotoxic potential of CD19-CD28-CD3z CAR T cells upon co-encapsulation with the CD19-positive mantle cell lymphoma cell-line JeKo-1.
There are several critical steps in this protocol. First, we recommend removing stimulation beads from T cells at least 48 h before performing any assays, to avoid false positive results. Secondly, T cell transduction efficiency with constructs such as CARs or T-cell receptors can vary considerably. Without a subsequent purification step of the transduced T cells, results may be challenging to interpret. Here, a pure population of CAR T cells was used and therefore a high degree of certainty can be expected when characterizing CAR T cells as being killers or non-killers at each time point. Alternatively, tagging CARs with fluorescent protein or genetic tag may be applied to indicate cells which are CAR-positive and then gated upon when analyzing droplets. If tagging is used, the fluorescent molecules selected should not interfere with the fluorescent emissions from any of the other assay fluorophores. For example, using GFP-tagging would interfere with the FAM-labeled GzmB substrate applied in the experiments performed here and is thus not recommended.
A major advantage of the protocol outlined here is that the droplet generation itself is simplified and automated. However, in order to ensure single-cell encapsulation, it is important that cells resuspend thoroughly before cartridge loading. For this reason, working at a fair pace is recommended when preparing to load the cartridge. A similar consideration applies when adding the GzmB substrate, as some cells are high secreters of GzmB. The resuspension of cells will also prevent clogging of small cartridge microfluidic channels. Proper encapsulation of cells is easily checked by microscopy, as outlined above.
Because the droplet encapsulates the cell medium and retains cellular products secreted from cells, other cytokines, antibodies, and compounds may be analyzed. Indeed, we have tested other relevant immune cell-secreted molecules, such as IFN-Ξ³ and TNF-Ξ±, which require modifications of the current protocol. For cytokine detection, a different type of assay format than we utilize here for GzmB may be applied, such as the generation of an ELISA sandwich on the effector cell surface32. Additionally, cell stains and assay colors can be changed, e.g., carboxyfluorescein succinimidyl ester (CFSE), but it is important to ensure minimal or no bleed-through across different color combinations, as would be done in standard flow cytometry.
Furthermore, this protocol is not limited to analyzing CAR T cells. It can also be extended to study other T cell/target interactions or other immune cells such as CAR NK cells. More advanced experiments can also be envisioned, for example labeling CD4 and CD8 T-cell subsets with additional fluorophores to perform broader functional immunophenotyping. Indeed, here we show that CD4 and CD8 can be detected in the droplets, thus enabling further characterization of the effector T cells and their cytotoxic capacity.
Optimizing this protocol, we specifically aimed for it to work on standard flow cytometry instruments. While droplet flow cytometry is not complicated, we have noticed that oil buildup may occur if the flow cytometer is not properly rinsed at certain intervals or as recommended here after the analysis of samples at each time interval. The best rinse protocol might be specific for each individual flow cytometer.
One of the significant advantages of this method is its high-throughput capability, allowing the monitoring of single-cell effector-mediated cytotoxicity against target cells without the need for extensive expertise or highly specialized equipment. The assay can easily be done using existing tools, such as flow cytometry or microscopy. Double emulsion droplets are also amenable to sorting using cell sorters30,31,which may enable isolation of cells with specific functionalities, e.g., CAR T cells with and without cytotoxic potential, followed by single-cell transcriptome analysis.
The technology is not without limitations. While some cell lines will tolerate culture in droplets for 24 h and beyond, primary cells may have significantly lower viability after 24 h. This represents a time constraint on the assays in general, but for the current assay, noticeable GzmB, and cell-killing activity can be observed within 4-6 h, likely because the small droplet compartment ensures rapid encounter of the effector and target cells. Likewise, the small droplet volume will ensure a fast buildup in concentration to detectable levels of the secreted GzmB-cleaved substrate. Another limitation of the technology is the inability to detect serial killing by effector cells when using standard flow cytometers. However, this could possibly be achievable with image flow cytometers or image cytometry technologies, which will have to be investigated.
The adoptive transfer of CD19 CAR T cells has shown remarkable success in treating patients with hematological malignancies. Despite this, there is a large variation of response and unpredictable toxicity in patients32, which may be partly due to the heterogeneity within the CAR T infusion product. As a result, there is a growing interest in analyzing the phenotypic composition and cytotoxic ability of individual CAR T cells within a population. This will be particularly important as CAR therapy is increasingly tested in autoimmune conditions and in other forms of cancer. The microfluidics device and protocol described here offer a robust and versatile approach to examining the heterogeneity of CAR T cells and other cell-based therapies.
The authors declare the following competing interests: M.B.B. has received consulting honorariums from Janssen, Roche, and Kite/Gilead, unrelated to the present work. D.L.P. and P.M. are employees of Samplix.
The authors wish to thank members and employees of CITCO and Samplix for helpful discussions and suggestions. M.B.B. is supported by Early-Career Clinician Scientists' fellowship from the Lundbeck Foundation (R381-2021-1278). This work is supported through an elite-research grant from Odense University Hospital. Furthermore, this research was supported by a grant from the European Innovation Council Project 190144395 to Samplix ApS.
Name | Company | Catalog Number | Comments |
Reagents | |||
Blocker BSA (BSA) | Thermo Scientific | 37525 | |
CellTrace Far Red Cell Proliferation Kit (far red fluorescent dye) | Invitrogen | C34564 | |
CellTrace Violet Cell Proliferation Kit (violet fluorescent dye) | Invitrogen | C34557 | |
DE Stabilizing Solution (stabilizing solution) | Samplix | REDIVSTABSOL1500 | |
DPBS (dPBS) | Gibco | 14190-094 | |
Dulbeccoβs PBS (dPBS) | Capricorn Scientific | PBS-1A | |
Dynabeads Human T-Activator (CD3/CD28 activation beads) | Gibco | 11132D | |
Fetal Bovine Serum (FBS) | Capricorn Scientific | FBS-HI-12A | |
Lenti-X Concentrator (PEG-based reagent) | Takara Bio | 631232 | |
MACSelect LNGFR Microbeads (anti-NGFR magnetic beads) | Miltenyi Biotec | 130-091-330 | |
OptiPrep density gradient medium (gradient medium) | Stemcell | 7820 | |
Penicillin-Streptomycin (P/S) | Capricorn Scientific | PS-B | |
Propidium iodide (PI) | Invitrogen | BMS500PI | |
Recombinant Human IL-2 (IL-2) | Peprotech | 200-02 | |
RPMI-1640 with Stable Glutamine (RPMI-1640) | Capricorn Scientific | RPMI-STA | |
RPMI-1640 without L-Glutamine and phenol red | Gibco | 32404-014 | |
Xdrop DE oil I (oil) | Samplix | REOILDEC1900 | |
Xdrop Granzyme B substrate (GzmB substrate) | Samplix | REGRB100 | |
Zombie-NIR viability dye (viability dye) | BioLegend | 423106 | |
Plasticware etc. | |||
8-chamber glass slide | Chemometec | 942-0003 | |
Cell culture plate, 12 well | TH Geyer | 7696791 | |
DNA LoBind tube, 2 mL (DNA tube) | Eppendorf | 30108078 | |
Eppendorf tube, 1.5 mL (1.5 mL tube) | Eppendorf | 30108051 | |
Falcon tube, 15 mL (15 mL tube) | TPP | 91015 | |
Falcon tube, 5 mL (5 mL tube) | Falcon (VWR) | 734-0443 | |
Green cell suspension flasks for cell incubations (T75 flask) | Sarstedt | 148.19.22 | |
Green cell suspension plates for cell incubations (96 well plate) | Sarstedt | 148.32.20 | |
LS Separation Columns (separation column) | Miltenyi Biotec | 130-042-401 | |
Xdrop DE Gaskets (gaskets) | Samplix | #GADEA100 | |
Xdrop DE50 Cartridge (encapsulation cartridge) | Samplix | #CADE50A100 | |
Antibodies | |||
anti-CCR7 PE-Dazzle 594 | BioLegend | 353236 | |
anti-CD19 CAR FMC63 Idiotype Antibody, PE | Miltenyi Biotec | 130-127-342 | |
anti-CD3 APC | Biolegend | 300439 | |
anti-CD3 BV480 | BD Biosciences | 566105 | |
anti-CD3 FITC | BD Biosciences | 345763 | |
anti-CD4 BUV661 | BD Biosciences | 612962 | |
anti-CD4 StarBright Violet 760 | Bio-Rad | MCA1267SBV760T | |
anti-CD45RA BUV395 | BD Biosciences | 740298 | |
anti-CD8 PE-Cy7 | BioLegend | 344712 | |
anti-CD8 StarBright Violet | Bio-Rad | MCA1226SBV760 | |
anti-NGFR FITC | BioLegend | 345106 | |
anti-NGFR PE | BioLegend | 345106 | |
Cells | |||
JeKo-1 Mantle-cell lymphoma cell-line (JeKo-1) | ATCC | CRL-3006 | |
Primary peripheral blood mononuclear cells (PBMCs) | |||
Equipment | |||
Countess 3 Automated Cell Counter | Thermo Fisher Scientific | A50298 | |
DynaMag-2 Magnet | Invitrogen | 12321D | |
NovoCyte Quanteon Flow Cytometer (flow cytometer) | Agilent | 2010011AA | |
Xdrop (microfluidics device) | Samplix | IN00110-EU |
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