Several methods have been developed for quantitative analyses of cell death in intestinal organoids. Examining the disruption of intestinal organoid morphology by light microscopy is a straightforward approach to quantifying the effects of cytotoxic substances11. However, morphological changes are not a direct measurement of cell death, and the method is only semiquantitative. Another method is to evaluate organoid metabolic activity using an MTT or ATP assay10,11. It is important to note that these assays can only determine changes in cell viability and must be validated with a cell death assay. Other fluorometric cell death assays using DNA binding dyes have been reported12,13. A non-imaging approach using a fluorescent microplate reader is possible and allows for high throughput12. However, this method measures the average signal of an entire well, making it unsuitable for heterogeneous populations. It also requires the use of a microplate reader with Z-height adjustment. Fluorescent imaging-based techniques can be used for single-organoid analysis and capture cellular/subcellular and morphological data. Automated confocal high-content imaging (HCI) systems can generate large amounts of data at a high throughput13. Unfortunately, confocal HCI needs specialized equipment, uses complex protocols, typically requires commercial image analysis software, and is expensive.
Our protocol for quantitative analysis of colonoid cell death at multiple time points is straightforward, simple, and inexpensive. However, compared to automated HCI and plate reader systems, it is time-consuming and has reduced throughput. Another limitation of our method is the use of widefield as opposed to confocal microscopy. Confocal microscopy is more suitable for imaging thick 3D samples such as organoids as it reduces out-of-focus signal and can acquire serial optical sections (Z-stacks). However, confocal imaging typically requires longer acquisition times and high-intensity lasers that increase phototoxicity/photobleaching. It is critical to note that fluorescent cell death dyes like SYTOX Green are only suitable for measuring forms of cell death where there is loss of cell membrane integrity such as necrosis, late apoptosis-associated secondary necrosis, necroptosis, and pyroptosis21. There are some forms of regulated cell death where the cell membrane remains impermeable at least during the early phases of cell death, such as caspase-dependent apoptosis. However, this protocol could be easily modified to also incorporate imaging of a caspase 3/7 activity fluorescent reporter22. This would provide additional data to help characterize the specific cell death modality.
We used our protocol to demonstrate the cytotoxic synergistic interaction between the cytokines IFN-γ and TNF-α (Figure 2C), which we have previously reported in CD patient-derived organoids9,10. The physiological relevance of this form of synergism has also been demonstrated in murine models of hemophagocytic lymphohistiocytosis and sepsis23. Several mathematical reference models and approaches have been implemented for quantifying synergy between combinations of biological agents24,25. They differ in terms of their complexity, the number of factors they consider, and the threshold for considering an interaction to be synergistic24,25. Some models need prior knowledge of the biological agents tested, make certain assumptions about the activity of agents, and can require comprehensive dose-response curves for each single and combination treatment25. The method we selected to measure synergy is a modification of the coefficient of drug interaction (CDI) model, which has previously been used to measure the inhibitory effects of chemotherapy drug combinations on cancer cell line proliferation26. The CDI is a Bliss independence model; when calculating the predicted combined effect of two perturbagens Bliss independence assumes that they target separate pathways and have independent mechanisms of action27. For an interaction between perturbagens to be synergistic the actual combined effect must be greater than the predicted effect. This model is appropriate for our experimental setup as IFN-γ and TNF-α are known to have different receptors and downstream signaling components. Further, Bliss independence allows for the calculation of a coefficient of interaction to quantify synergism and does not require dose-response datasets.
There are a few key factors that must be considered to ensure optimal results for this protocol. It is important that colonoids are propagated to a high density (Figure 1Bi), that they are approximately 25-50 µm in diameter, and are actively proliferating before attempting to seed cells. The use of suboptimal cultures of colonoids for assays may result in insufficient cell numbers, low colonoid recovery, and inconsistent experiments. For reproducible results, it is also important to seed the density of colonoids consistently between experiments. It has previously been demonstrated that the in vitro response to inflammatory cytokines can be influenced by cell seeding density28,29. Another common issue is the formation of air bubbles in the BME dome, which can affect imaging. This can be prevented by using the reverse pipetting technique. This technique also results in more consistent seeding.
Further, if imaging multiple time points, prepare a Max Toxicity condition for each time point. Triton-X 100, a nonionic surfactant, is commonly used as a positive control (Max Toxicity condition) for cytotoxicity assays. The addition of Triton-X 100 lyses and kills the colonoids, allowing the fluorescent cell death dye to enter the cells. Using a Max Toxicity condition from an earlier time point will result in inaccurate and inconsistent normalization of data due to the fluorescent signal decaying over time.
A final point to consider is the choice of BME used for colonoid culture. There are several commercial producers of BME; however, for our protocol, we have only tested the brand included in the Table of Materials. A recent study using patient-derived pancreatic cancer organoids found that the commercial source of BME altered cell proliferation rates but had no significant effect on response to chemotherapy drugs or gene expression30. With this in mind, we expect the trend of results to be similar between BME brands for our protocol, but we recommend using the same brand consistently.
We demonstrated how this protocol can be used for the analysis of IFN-γ and TNF-α induced cell death using CD patient-derived colonoids. Patient-derived intestinal organoids are a powerful tool to study CD as they retain many characteristics of the disease, including increased sensitivity to the cytotoxic effects of TNF-α31. However, the protocol could be easily modified to investigate cytotoxic effects of perturbagens other than cytokines or disease states other than IBD such as colorectal cancer (we have successfully tested the protocol using non-IBD colonoids). We believe this method is useful for any research area concerned with cell death mechanisms, epithelial barrier function, or intestinal mucosal immunology.