Metabolic adaptation is fundamental for T cells as it dictates differentiation, persistence, and cytotoxicity. Here, an optimized protocol for monitoring mitochondrial respiration in ex vivo cytokine-differentiated human primary T cells is presented.
During activation, the metabolism of T cells adapts to changes that impact their fate. An increase in mitochondrial oxidative phosphorylation is indispensable for T cell activation, and the survival of memory T cells is dependent on mitochondrial remodeling. Consequently, this affects the long-term clinical outcome of cancer immunotherapies. Changes in T cell quality are often studied by flow cytometry using well-known surface markers and not directly by their metabolic state. This is an optimized protocol for measuring real-time mitochondrial respiration of primary human T cells using an Extracellular Flux Analyzer and the cytokines IL-2 and IL-15, which differently affect T cell metabolism. It is shown that the metabolic state of T cells can clearly be distinguished by measuring the oxygen consumption when inhibiting key complexes in the metabolic pathway and that the accuracy of these measurements is highly dependent on optimal inhibitor concentration and inhibitor injection strategy. This standardized protocol will help implement mitochondrial respiration as a standard for T cell fitness in monitoring and studying cancer immunotherapies.
Correct T cell development and function are essential for the ability of the immune system to recognize and respond to antigens. Mitochondrial oxidative phosphorylation (OxPhos) changes according to the state of the T cell. Naïve T cells predominantly use OxPhos to produce ATP, whereas activated T cells undergo a metabolic transition where glycolysis becomes dominant1. After the effector phase, the small remaining subset of memory T cells reverts to a metabolic state dominated by OxPhos2,3. The changes of OxPhos follow the differentiation of T cells to such a degree that even subsets of T cells can be differentiated by their specific is OxPhos properties1. Conversely, OxPhos is important for T cells' function, and inhibition of OxPhos has been demonstrated to block proliferation and cytokine production of T cells4. Therefore, the ability to quantify the properties of T cell OxPhos in a precise and reproducible manner is a powerful tool for anyone working with T cells.
In this protocol, properties of T cell OxPhos are measured using an extracellular flux analyzer. The core function of this analyzer is to continuously measure the oxygen content of the growth media of the cells to be analyzed. Oxygen removed from the growth media is assumed to be taken up by the cells. By treating the cells with a variety of OxPhos inhibitors or modifiers, a drop in oxygen uptake is associated with the inhibited or modulated function. For example, inhibition of the ATP synthase will lead to a reduced cellular uptake of oxygen that would otherwise be used to produce ATP by oxidative phosphorylation. Other equipment, including the Clark electrode and the Oroboros instrument, offers similar functionality, and each instrument has different advantages and shortcomings. A wide array of cell types can be used for studies in these devices, but one particularly challenging cell type is human primary T lymphocytes5. Due to their small size, poor survival ex vivo, and non-adherent properties, human primary T cells can be challenging to study.
This is a protocol for studying the mitochondrial respiration of human primary T cells by an extracellular analyzer. The protocol is divided into an Optimization run, where optimal concentrations of cell number per well, as well as the optimal concentration of oligomycin and FCCP, are determined. Furthermore, an Assay run, where the optimized conditions are used.
Using blood-derived human PBMCs and ex vivo primary T cell cultures, this protocol demonstrates the importance of optimal inhibitor concentration and the relevance of using separate instead of a sequential injection of mitochondrial inhibitors when working with sensitive cell types. Finally, it is demonstrated that this assay can robustly detect subtle differences in mitochondrial respiration upon polarization with cytokines IL-2 and IL-15.
Experiments were carried out under the guidelines from Herlev Hospital and the Capital Region of Denmark.
NOTE: This protocol contains instructions for both an Optimization run and an Assays run. It is clearly written in the text when instructions are for an Optimization run or an Assay run. Run an Optimization run before continuing with the Assay runs
1. Human peripheral blood mononuclear (PBMC) isolation from buffy coats
2. Culturing of activated human primary T lymphocytes
3. Extracellular flux assay
A correct determination of OxPhos properties is an indispensable tool when studying T cells. However, if the assay conditions have not been optimized, there is a substantial risk of misleading or erroneous results. In this protocol, there is a strong focus on the optimization of cell number per well and concentrations of oligomycin and FCCP to be used. In the described setup, oligomycin and FCCP are added incrementally to the same well, increasing the concentration of the mitochondrial modulators. The optimal concentration of oligomycin and FCCP can be determined from the resulting OCR curves of the wells as the concentration where a plateau is reached.
In the representative run, oligomycin is added in an increasing concentration and inhibiting ATP synthase (Complex V of the electron transport chain), resulting in decreased mitochondrial respiration. A plateau in OCR is reached after the accumulative concentration of the wells reached 1 µM. From this concentration and increasing concentrations OCR was not reduced further (Figure 1A). For wells treated with an incremental concentration of the uncoupler FCCP, OCR levels increased as expected until reaching a plateau after 0.2 µM of FCCP was added, indicating that at this concentration full uncoupling was obtained (Figure 1B). An optimization of cells plated per well is important for a correct and reproducible assay. If the used cell number is too low, then the level of oxygen removed from the assay media by the cells is too low to be correctly measured by the analyzer. On the other hand, if the number of cells per well is too high, the oxygen consumption of the cells can become so high that the system cannot replenish the oxygen levels of the assay media after each measurement, leading to an increasingly hypoxic environment and erroneous OxPhos characterization.
In the representative run, cells were seeded at a density of 200,000 and 400,000 cells per well (Figure 2A–C). For a run with 200,000 cells, the initial OCR is approximately half of a run with 400,000 cells per well. For FCCP treatment, maximal OCR is 61.6 pmol/min (200,000 cells) versus 190,4 pmol/min (400,000 cells). Following oligomycin treatment, the OCR in the run with 200,000 cells collapses into single-digit OCR (6.4 pmol/min). This is lower than the OCR of the run, with 400,000 cells per well treated with oligomycin (25.8 pmol/min, respectively).
Therefore, from the optimization run, it is clear that a cell number of 400,000 cells per well was required for future assays, using 1 µM oligomycin and 0.2 µM FCCP. In the classical setup recommended by the manufacturer, oligomycin and FCCP are added sequentially with the final addition of antimycin A. For T cells, this is not the optimal approach as the oligomycin treatment can be seen to limit the uncoupling after FCCP treatment (Figure 3A,B). In this presented method, it is recommended to run each condition in duplicate wells and treat one well with oligomycin and the other with FCCP, with a final addition of antimycin A for both wells. By using this approach, the oligomycin treatment does not affect OCR after FCCP treatment. This approach allows for the determination of the same mitochondrial properties as the classical setup, where drugs are added in sequence (Figure 3C)
Finally, it was investigated whether the effects of cytokines IL-2 and IL-15 could be differentiated on the metabolism of ex vivo cultured human primary T cells. Indeed, IL-15 cultured cells possessed higher maximal respiration and spare respiratory capacity, as has been shown before1 (Figure 4A–E). Basal respiration and ATP production were not affected. Taken together, this data shows that the mitochondrial respiration of ex vivo cultured human primary T cells can successfully be analyzed using the extracellular flux analyzer.
Figure 1: Oxygen consumption rate (OCR) measured during titration of inhibitors oligomycin and FCCP in ex vivo cultured human primary T cells. (A) OCR during stepwise titration of oligomycin from 0-1.25 µM final concentration. (B) OCR during stepwise titration of FCCP from 0-0.5 µM final concentration. Please click here to view a larger version of this figure.
Figure 2: The influence of cell concentration on OCR measurements in ex vivo cultured human primary T cells. OCR measurements of ex vivo cultured human primary T cells with 200,000 or 400,000 cells per well after injection of either (A) FCCP or (B) Oligomycin. (C) Basal respiration, maximal respiration, ATP production, and spare respiratory capacity of human primary T cells using 200,000 or 400,000 cells per well. Representative of three independent experiments. Please click here to view a larger version of this figure.
Figure 3: Single or sequential injection of mitochondrial modulators. (A) Representative OCR measurements during baseline and after injection of oligomycin and FCCP (a,b), or antimycin A (c) as single individual injections or as sequential injections. (B) OCR values before injection (basal respiration) or after injection of oligomycin or FCCP as single injections or sequential injections. (C) Schematic representation of injection and measurement strategy. Representative of one independent experiment Please click here to view a larger version of this figure.
Figure 4: Differences in mitochondrial respiration in cytokine-differentiated human primary T cells. (A–D) Basal respiration, maximal respiration, ATP production, and spare respiratory capacity of human primary T cells cultured with IL-2 or IL-15 for seven days (n = 3). (E) Representative plots of (A–D), with injections of Oligomycin or FCCP (a) or antimycin A (b). Please click here to view a larger version of this figure.
Cytokine | [Stock] | Dilution factor | [Final] | |
Condition 1 | IL-2 | 3 x 106 U/mL | 30,000 | 100 U/mL |
Condition 2 | IL-15 | 2 x 105 U/mL | 2,000 | 100 U/mL |
Table 1: Preparation of cytokine cultures used to guide metabolic changes in T cells.
Oligomycin | FCCP | |||||
Working sol. | Final conc. | Vol. | Working sol. | Final conc. | Vol. | |
Port A | 5.0 μM | 0.50 μM | 20 μL | 2.0 μM | 0.2 μM | 20 μL |
Port B | 3.0 μM | 0.75 μM | 22 μL | 1.30 µM | 0.3 μM | 22 μL |
Port C | 3.0 μM | 1.0 μM | 24 μL | 1.30 µM | 0.4 μM | 24 μL |
Port D | 3.0 μM | 1.25 μM | 27 μL | 1.30 µM | 0.5 μM | 27 μL |
Table 2: Strategy for preparation of mitochondrial inhibitors and modulators. Preparation concentrations, working concentrations, and injection strategies for an Optimization run.
Action | Details | Measurement details |
Baseline | Baseline measurements | 3 measurements |
Injection | Port A injection | 3 measurements |
Injection | Port B injection | 3 measurements |
Injection | Port C injection | 3 measurements |
Injection | Port D injection | 3 measurements |
Measure | Additional measurements | Optional |
Table 3: Protocol design of an Optimization run with titration of mitochondrial inhibitors and modulators using 4 injections with 3 measurements in each.
Element of mitochondrial oxidative phosphorylation | Explanation | ||
Basal respiration | Basal respiration is a baseline measure of the rate of oxygen consumed by the stimulated T cells before addition of mitochondrial inhibitors. It is a measure of the oxygen consumption used to meet cellular ATP demand resulting from mitochondrial proton leak. As such, it provides an overview of the proton current generated to supply ATP synthesis and proton leak. However, it is also a measure that can be altered depending on the substrates present in the growth media, stimulation of cells prior to assay and other extrinsic factors. The basal respiration is therefore a measure used to compare two or more different cell types and/or different treatments believed to affect the cellular metabolic state of the cells. Basal respiration is calculated as the difference in OCR before adding any mitochondrial modulators (oligomycin or FCCP) and after adding antimycin A |
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Maximal respiration | This measure is the maximal rate of oxygen that can be consumed for oxidative phosphorylation. The rate of oxygen consumed by oxidative phosphorylation is determined both by the ability of the electron transport chain to pump protons across the inner mitochondrial membrane, and the ability of the ATP synthase to use the proton gradient to phosphorylate ATP from ADP. The speed of the ATP synthase is limited by free ADP substrate and thereby by the general energetic state of the cell. When treating the cells with the mitochondrial uncoupler FCCP, protons can freely traverse back across the inner mitochondrial membrane. This mimics a situation where the cells experience an unsaturable energy demand, and the maximal respiration is therefore a measure of the maximal rate of oxygen that can be consumed by the electron transport chain. Maximal respiration is calculated as the difference in OCR of cells treated with FCCP and cells treated with antimycin A |
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ATP turnover | ATP-linked respiration is measured as the difference in OCR after inhibition of the ATP synthase using oligomycin. The oxygen that would otherwise be consumed for phosphorylation of ADP by oxidative phosphorylation will no longer be used as this process is arrested. ATP-linked respiration is therefore relative to ATP produced by oxidative phosphorylation. Changes in AT-linked respiration is a response of the mitochondria to an altered ATP demand of the cell ATP-linked respiration is calculated as the difference in OCR before adding any mitochondrial modulators (oligomycin or FCCP) and after adding oligomycin |
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Spare respiratory capacity | The spare respiratory capacity is a measure of a theoretical extra capacity to produce ATP as a response to an increased energetic demand. It is defined as the difference between basal respiration and maximal respiration. Changes in spare respiratory capacity can be an indicator of mitochondrial and cell fitness and flexibility. |
Table 4: Explanation of the various components of mitochondrial respiration that are studied using the flux analyzer
Detailed and correct quantification of oxidative phosphorylation is an indispensable tool when describing the energy states of T cells. The state of mitochondrial fitness can be directly related to T cell activation potential, survival, and differentiation1,5. With this protocol, it is possible to determine the various properties of oxidative phosphorylation (see Table 4 for a detailed explanation). Precise quantification of these properties of oxidative phosphorylation offers a detailed insight into the energy states of T cells. However, to obtain reliable results, great care must be taken when setting up the experiment.
In this protocol, the three following optimization steps are advised-first, optimization of cell numbers. The ability of a flux analyzer to correctly measure oxygen concentrations follows a sigmoid curve; changes in oxygen that are too small or too large will fall outside the operating interval of the machine and will therefore not be measured correctly. This necessitates an optimization of cell numbers to be used throughout the entire experiment. If too few cells are assayed, the changes in oxygen consumption are too low to be correctly measured. If too many cells, there is a risk of oxygen depletion in the assay media. An initial run is therefore recommended, with cell numbers ranging from 100,000-400,000 cells per well. When plotting cell number versus basal respiration, the optimal cell count will be in the linear range of the curve. When optimizing the setup, please be aware that there can be an exponential difference in mitochondrial activity between resting and activated cells, and therefore needs to be optimized accordingly.
Second, titration of inhibitor concentrations. When treating the cells with oligomycin and FCCP, it is important to identify the optimal concentrations of the inhibitors to be used. A too low concentration will result in a suboptimal inhibition and an incorrect measurement of mitochondrial respiration. It is common that people use the highest recommended concentrations of the inhibitors to ensure that a full inhibition is obtained. This is also problematic as too high concentrations of the inhibitors can have pleiotropic effects. Uncouplers like FCCP also exert their effects on membranes other than the mitochondrial, resulting in a range of undesired effects, including plasma membrane depolarization, mitochondrial inhibition, and cytotoxicity. In this protocol, titration of oligomycin and FCCP is done simultaneously with cell number optimization. During an optimization run, increasing concentrations of oligomycin or FCCP are added using the four available substrate ports. In the resulting OCR diagram, the optimal concentration can be visually determined as the concentration at which the OCR reaches a steady plateau. Once the concentration of oligomycin and FCCP have been titrated, these concentrations are to be used throughout the experiment.
Third, sequential versus single individual addition of inhibitors. Classical Seahorse assays are typically conducted with the sequential addition of the first oligomycin followed by the addition of FCCP. In T cells and other sensitive cells, such a sequential addition can result in an erroneous quantification of maximal respiration. In turn, the measured levels of spare respiratory capacity will report lower than they are. Grave examples of this include values of spare respiratory capacity that are negative. This is, of course, not biologically possible and is caused by a pre-sensitization of the mitochondria by oligomycin treatment. In this protocol, it is instead recommended that cells are only treated with either oligomycin or FCCP (see Figure 3C for illustrative comparison).
Finally, this optimized protocol is used to show how IL-15-supplemented human primary T cell cultures can be clearly distinguished from IL-2-supplemented cells based on their mitochondrial respiration. IL-15-cultured cells possess higher maximal respiration and spare respiratory capacity, a metabolic state linked to memory T cells1,6. These observations are in line with previous studies which link IL-15 to memory T cell subsets8. In addition, a difference in basal respiration but not in ATP production when compared to IL-2-cultured cells was observed. This indicates that these cells use their glycolytic capacity to comply with basal metabolic demands, a pathway associated with more differentiated cells. Taken together, it is shown that a human memory T cell model can be established in vitro by using IL-15 supplementation. Using an IL-15-rich environment to promote the development of memory cells has previously been demonstrated and further supports the findings8.
In this method, oligomycin, FCCP, and antimycin A have been used to quantify the properties of OxPhos. Other compounds exist with similar effects, which potentially would be better suited for T cells. An example would be to use the uncoupler BAM15 instead of FCCP to decrease depolarization of the mitochondrial membrane and to avoid cytotoxicity9. In this method, these compounds have not been considered, as oligomycin, FCCP, and antimycin A have been the recommended mitochondrial modulators for Seahorse experiments for the last decade. The use of these compounds is therefore recognized by reviewers and other researchers working with OxPhos. More experienced users of the Seahorse flux analyzer are encouraged to use these alternative compounds, but the use of these is outside the scope of this paper.
Monitoring mitochondrial OxPhos is an essential tool for understanding T cell function and improving cancer immunotherapies. As previously mentioned, IL-15 expanded cells – with a less differentiated memory phenotype – were shown to improve responses to CAR T cell therapies, as they were less exhausted and had an increased antitumor activity10. This optimized protocol could be an effective tool to study the quality of T cells in both preclinical and clinical settings. In conclusion, this protocol implements steps for optimizing cell numbers and inhibitor concentrations for the use of ex vivo cultured human primary T cells in metabolic assays.
The authors have nothing to disclose.
Kasper Mølgaard and Anne Rahbech received grants from Tømmermester Jørgen Holm og Hustru Elisa f. Hansens Mindelegat. Kasper Mølgaardalso received a grant from Børnecancerfonden.
24-well tissue culture plate | Nunc | 142485 | |
Anti-CD3xCD28 beads | Gibco | 11161D | |
Antimycin A | Merck | A8674 | |
Carbonyl cyanide 4-(trifluoromethoxy)-phenylhydrazone (FCCP) | Sigma-Aldrich | C2920 | |
Cell-Tak | Corning | 354240 | For coating |
Dimethyl sulfoxide (DMSO) | Sigma Aldrich | D9170 | |
Human Serum | Sigma Aldrich | H4522 | Heat inactivated at 56 °C for 30 min |
IL-15 | Peprotech | 200-02 | |
IL-2 | Peprotech | 200-15 | |
Lymphoprep | Stemcell Technologies | 07801 | |
Oligomycin | Merck | O4876 | |
PBS | Thermo Fisher | 10010023 | |
RPMI 1640 | Gibco-Thermo Fisher | 61870036 | |
Seahorse Calibrant | Agilent Technologies | 102416-100 | |
Seahorse XF 1.0 M glucose solution | Agilent Technologies | 103577-100 | |
Seahorse XF 100 mM pytuvate solution | Agilent Technologies | 103578-100 | |
Seahorse XF 200 mM glutamine solution | Agilent Technologies | 103579-100 | |
Seahorse XF RPMI medium, pH7.4 | Agilent Technologies | 103576-100 | XF RPMI media |
Seahorse XFe96 Analyser | Agilent Technologies | Flux analyzer | |
Seahorse XFe96 cell culture microplates | Agilent Technologies | 102416-100 | XF cell culture plate |
Seahorse XFe96 sensor cartridge | Agilent Technologies | 102416-100 | |
Sodium Bicarbonate concentrate 0.1 M (NaHCO3) | Sigma Aldrich | 36486 | |
Sodium Hydroxide solution 1 N (NaOH) | Sigma Aldrich | S2770-100ML | |
X-VIVO 15 | Lonza | BE02-060F | |
T cell beads magnet DynaMag-2 Magnet | Thermo Fisher | 12321D | |
Seahorse wave | Flux analyzer software |