Method Article
We describe a procedure to assess the capacity for pharmacologic agents to generate tolerogenic dendritic cells from naïve monocyte-derived dendritic cells in vitro and validate their potency by autologous regulatory T cell generation.
Tolerogenic dendritic cells (tolDCs) are a subset of dendritic cells (DCs) that are known to influence naïve T cells toward a regulatory T cell (Treg) phenotype. TolDCs are currently under investigation as therapies for autoimmunity and transplantation, both as a cell therapy and method to induce tolDCs from endogenous DCs. To date, however, the number of known agents to induce tolDCs from naïve DCs is relatively small and their potency to generate Tregs in vivo has been inconsistent, particularly therapies that induce tolDCs from endogenous DCs. This provides an opportunity to explore novel compounds to generate tolerance.
Here we describe a method to test novel immunomodulatory compounds on monocyte-derived DCs (moDCs) in vitro and validate their functionality to generate autologous Tregs. First, we obtain PBMCs and isolate CD14+ monocytes and CD3+ T cells using commercially available magnetic separation kits. Next, we differentiate monocytes into moDCs, treat them with an established immunomodulator, such as rapamycin, dexamethasone, IL-10, or vitamin D3, for 24 h and test their change in tolerogenic markers as a validation of the protocol. Finally, we co-culture the induced tolDCs with autologous T cells in the presence of anti-CD3/CD28 stimulation and observe changes in Treg populations and T cell proliferation. We envision this protocol being used to evaluate the efficacy of novel immunomodulatory agents to reprogram already differentiated DCs towards tolDC.
Dendritic cells (DCs) are critical mediators between innate and adaptive immunity. DCs, which mainly reside in mucosal membranes, skin and lymphoid tissue, are the primary antigen presenting cells (APCs)1. DCs uptake foreign proteins and process and present them on major histocompatibility (MHC) proteins to naïve T cells. DCs specifically express MHC class II proteins, such as human leukocyte antigen-DR (HLA-DR) in humans. The activation state of the DCs upon antigen exposure is critical for the downstream T cell response2. Immature DCs express various pattern recognition receptors (PRRs) that recognize classes of molecules call pathogen associated molecular patterns (PAMPs), such as the bacterial wall component, lipopolysaccharide (LPS)3. Upon PRR stimulation, DCs become matured DCs and upregulate important T cell co-stimulatory proteins, such as CD80, CD86, and CD40, and secrete pro-inflammatory cytokines such as tumor necrosis factor-alpha (TNFα), facilitating the differentiation of naïve T cells into conventional effector or helper T cells2. On the contrary, if DC maturation is interrupted or if DCs develop in a tolerogenic environment, DCs can generate a tolerogenic DC state (tolDCs)4. TolDCs downregulate classical T cell co-stimulatory receptors and instead upregulate tolerance receptors such as programmed cell death ligand 1 (PD-L1) and B- and T-lymphocyte attenuator (BTLA) and generate suppressive cytokines such as interleukin 10 (IL-10) and transforming growth factor beta (TGF-β)4. This is not a comprehensive list of tolerance markers and, in fact, there is limited consensus as to which tolDC markers are appropriate to define the tolDC state5. Considering this, we propose regulatory T cell (Treg) generation as a functional marker that ought to be used to compare the effectiveness of various tolDC induction agents.
In addition to tolDC/matured DC activation states, DCs can also be categorized based on their lineage or tissue location, with each subset displaying slightly different functionality. While the tolDC/matured DC division is less definitive and exists more as a continuum, lineage divisions have well-defined markers in both human and mice. DC precursors are formed in the bone marrow, but there are two main subtypes of DCs based on their lineage: 1) plasmacytoid dendritic cell (pDCs), which derive from lymphoid lineages and 2) conventional dendritic cells (cDCs), which derive from myeloid lineages. In humans, pDCs are matured in lymphoid organs, express CD303, and are highly responsive in viral infections6. CD11c expressing cDCs, meanwhile, are matured in peripheral tissues and exist in two distinct subtypes, CD1c+ cDC1s and CD141+ cDC2, which each generate distinct T cell responses7. Furthermore, all cDCs can exist in either tissue-resident (CD103-) or migratory (CD103+) substates8. Finally, under certain conditions, cells from monocyte lineages (CD14+) can be induced toward a dendritic cell phenotype and are identified as CD14-, CD141+, CD1c+ 9. These cells, known as monocyte-derived DCs (moDCs), are the most commonly used for ex vivo analysis in humans as monocytes constitute approximately 10-30% of human peripheral blood mononuclear cells (PBMCs), whereas pDCs constitute only 1-3%10. This makes moDCs an attractive choice, but it is also known that moDCs are more inflammatory that typical cDCs isolated from primary tissue9.
There are currently two broad categories of efforts to employ tolDCs to generate clinical tolerance. First, tolDCs are generated from monocytes for use as a cell therapy. In this paradigm, moDCs are typically differentiated using IL-4/GM-CSF concurrently with immunomodulators such as vitamin D3, rapamycin (rapa), IL-10, dexamethasone, or combinations of these11,12. These tolDCs have been explored as autologous cell therapies for autoimmunity and transplants13. The other use of tolDCs is to reprogram endogenous DCs towards tolDCs using free drugs or nanocarriers to deliver both immunomodulator and antigen of interest14,15,16. Induction of already differentiated DCs is more challenging, however, due to the development of robust metabolic phenotypes of DCs that are typically in contrast with tolDC metabolism17,18. This is a high bar for most pharmacological immunomodulators; for this reason, most endogenous DC reprogramming studies report effective DC suppression and often some Treg induction, but lack clinical success, often due to lack of T cell persistence15,19,20. This highlights the need for strategies to identify potential tolDC induction agents from existing DCs.
Here, we present a method for in vitro evaluation of immunomodulatory agents against differentiated moDCs with the end metric of autologous Treg induction. This protocol is designed to assess the effectiveness of immunomodulatory agents to reprogram already-differentiated human moDCs towards tolerance. Furthermore, this protocol validates the functionality of reprogrammed tolDCs to generate Tregs against autologous T cells isolated from the same PBMC sample. This is in contrast to other protocols that induce tolerance during differentiation and/or challenge tolDCs with T cells from allogenic donors21. In this protocol, we use the common tolerizing agent rapa as an example but also demonstrate the limited effectiveness of rapa-treated moDCs to generate Tregs. In our representative results, we also show the efficacy of other common immunomodulatory treatments such as IL-10, dexamethasone, and vitamin D3. We envision this protocol being used to screen potentially more effective tolDC-inducting agents against already established moDCs22.
All human peripheral blood mononuclear cell (PBMC) samples were obtained from the University of Pennsylvania's Human Immunology Core from deidentified donors with prior approval from the University of Pennsylvania's Institutional Review Board (IRB) with patient consent.
Optional: While in this method, we used freshly isolated PBMCs obtained from an academic laboratory, PBMCs can be isolated from either whole blood or leukapheresis-enriched blood products. We recommend using the density gradient centrifugation method, as this is a well-established and reliable method that is described elsewhere23.
1. Isolation of monocytes/T cells and moDC differentiation
2. Adding immunomodulatory drugs for generating tolerogenic moDCs
3. Flow analysis for moDC (Validation + Tolerance)
4. Flow analysis of T cells
We have described a protocol for human PBMCs, isolate both CD3+ T cells and CD14+ monocytes using commercially available magnetic separation kits, differentiate monocytes into CD14-, HLA-DR+, CD141+, CD1c+ moDCs using GM-CSF and IL-4, treat them for 24 h, and co-culture with autologous T cells with anti-CD3/CD28 stimulation for 72 h. An experimental schematic is shown in Figure 1.
Isolation of monocytes/T cells and moDC differentiation
For our initial representative results, 200 million human PBMCs were purchased from the University of Pennsylvania Human Immunology Core (HIC) from one healthy donor and processed as described in protocol sections 1 and 2. Blood was drawn on day 1 and isolated using standard Ficoll fractionation at the HIC facility. We used 100 million PBMCs for T cell and monocyte isolation, each with yields of 10 million T cells and 3 million monocytes, respectively. Monocytes and moDCs after GM-CSF/IL-4 differentiation on day 7 were analyzed via flow cytometry. We observed two distinct groups in the undifferentiated monocytes, classical CD14+, HLA-DR- monocytes (>45%), and a small population of CD14-, HLA-DR+ cells that expressed minimal amounts of CD1c and no CD141. In contrast, on day 7 of differentiation, we observed most cells that were CD14-, HLA-DR+, CD141+, CD1c+, indicating moDCs (Figure 2). We obtained approximately 4 million moDCs from the initial 3 million monocytes.
Flow analysis for moDC (Validation + Tolerance)
On day 7, moDCs were incubated with rapa for 24 h, washed, incubated with LPS for 24 h, and then analyzed by flow cytometry on day 9 via protocol step 3. Treatment groups included: 1) no treatment + no treatment (UT), 2) no treatment+ 0.1 µg/mL LPS (LPS), 3) 10 ng/mL rapa + no treatment (rapa), or 4) 10 ng/mL rapa+ 0.1 µg/mL LPS (LPS + rapa). Treatment with rapa, both with and without LPS, decreased CD1c+, DC-SIGN+ populations from UT, although percentages remained >50% (Figure 3A). MoDCs on day 9 were also analyzed for the expression of DC maturation markers, CD86 and CD40. We observed a marked increase in CD86 when moDCs were treated with LPS, which was prevented when moDCs were pretreated with rapa (Figure 3B). When the signal was normalized to UT controls, we observed a significant decrease in both CD40 and CD86 in rapa treatment groups and no increase in signal with LPS + rapa groups (Figure 3C,D). This same pattern was observed for tolerogenic markers, PD-L1 and BTLA, with rapa treatment decreasing the signal and preventing an increase in response to LPS stimulation (Figure 3E,F). This indicates that rapa treatment prevented LPS maturation but simultaneously limited the expression of tolerogenic markers.
Flow analysis for Treg
We next analyzed autologous T cells after co-culture with moDCs and stimulation with CD3/CD28 stimulation on day 12 at a ratio of 1:5 moDC:T cells using protocol step 4.2. We identified Treg populations by CD4+, CD25+, FoxP3+ (Figure 4)24. Samples included T cells without stimulation (negative control), T cells with CD3/CD28 stimulation but no moDCs, and T cells with CD3/CD28 stimulation and co-cultured with the four moDC groups from the previous paragraph. We observed a clear Treg population and a marked increase in Treg when moDCs were added to the co-culture. There was, however, no significant difference in Treg frequency between the four moDC, contrary to some literature reports that demonstrate increased Treg generation from rapa-treated tolDCs (Figure 5A)25.
Flow analysis of T cell proliferation
We also analyzed our representative sample for T cell proliferation using protocol step 4.3. T cell-moDC co-cultures were similarly stimulated as in Treg analysis and then analyzed by flow for cell proliferation dye of either CD4+ or CD8+ T cells (Figure 5B). We observed that rapa-treated moDCs have a moderate decrease in T cell proliferation in both CD4+ and CD8+ T cell compartments compared to LPS-treated moDCs and untreated moDCs upon CD3/CD28 stimulation.
Analysis of additional patient samples and immunomodulators:
Our representative results indicate that rapa-treated moDCs reduce markers of DC maturity such as CD86 and CD40 and reduce T cell proliferation to non-specific CD3/CD28 stimulation. Rapa-treated moDCs, however, have little effect on positive markers of tolerance, such as PD-L1 or BTLA and do not increase Treg populations upon CD3/CD28 stimulation. To explore if similar T cell results would be observed with other patients and immunomodulators, we repeated the autologous co-culture experiment from additional human samples (for a total of 4 or 5 depending on the analysis). We further tested 1 µM Dexamethasone (Dex), 10 ng/mL IL-10 (IL-10), 1 µg/mL Lipopolysaccharide (LPS), or 1 nM vitamin D3 (VD3) in addition to 10 ng/mL Rapa as the immunomodulators given in step 2.1.4 but omitting immunostimulation. We also included a sample that was given Dex in step 2.1.4 and treated with 0.1 µg/mL LPS in step 2.3.3 on day 8 (Dex + LPS). We first tested supernatants from moDC (without T cell addition) either 24 h or 72 h after step 2.3.3 on day 8 for the common tolerance cytokine IL-10 and the inflammatory cytokine TNFα (Figure 6A-D). We observed that rapa-treated moDCs did not increase IL-10 in any samples at 24 h or 72 h, but IL-10-treated samples did significantly increase IL-10 production at 24 h, even after two washing steps to remove exogenously added IL-10. (Figure 6A). We also observed that Dex-treated moDCs did significantly increase IL-10 production but only after resting for 72 h (Figure 6B). We further observed that no immunomodulator on its own generated TNFα, but the pretreatment of Dex reduced the average TNFα generation upon LPS treatment at 24 h, although this result was not significant (Figure 6C). The data further show that while moDC expression of PD-L1 is not increased by any immunomodulator at 24 h, significant increases in PD-L1+ moDCs were observed in the Dex + LPS- and Rapa-treated groups at 72 h (Figure 6E,F). Like our single representative sample, we also observe a suppression of CD86 expression from all immunomodulator treated groups at both 24 h and 72 h (Figure 6G,H). These confirm that immunomodulators can increase tolerogenic markers for moDCs, although the effect be delayed.
We further analyzed T cell responses after co-culture on day 12. We observed that immunomodulator treated moDCs did not increase CD4+ T cell proliferation relative to untreated moDC controls similar to other published reports26 (Figure 6I). Interestingly, we did not observe significant increases in Treg populations for any immunomodulator treated moDCs in the larger sample (Figure 6J). We believe this lack of significance is due to high variability between patient samples; two of the patient samples (1 and 2) did not seem to increase Tregs to any treatment, while the other two (3 and 4) showed increases with nearly all immunomodulatory treatments (Figure 6J). This highlights the need to perform analysis of immunomodulators with multiple patient samples and suggests that Treg proliferation via immunomodulator treated moDCs is highly variable between patients.
Figure 1: Experimental overview schematic. Monocytes and T cells are isolated from PBMCs, monocytes differentiated into moDCs, challenged with immunomodulatory agents to generate tolDCs, and co-cultured with T cells. Abbreviations: PBMCs = peripheral blood mononuclear cells; moDCs = monocyte-derived dendritic cells; tolDCs = tolerogenic dendritic cells. Please click here to view a larger version of this figure.
Figure 2: Representative gating strategy for identification of CD14+, HLA-DR- monocytes and CD14-, HLA-DR+, CD1c+, DC-SIGN+ moDCs. Samples were analyzed on day 7. Abbreviations: moDC = monocyte-derived dendritic cell; HLA-DR = human leukocyte antigen-DR; DC-SIGN = dendritic cell-specific C-type lectin. Please click here to view a larger version of this figure.
Figure 3: Flow cytometry analysis of moDCs post rapa and/or LPS treatment. On day 6, 105 moDCs were incubated with immunomodulators for 24 h, then washed and incubated with or without 0.1 µg/mL LPS for 24 h. On day 9, moDCs were washed and analyzed by flow cytometry. (A) Identification of CD14+, HLA-DR- monocytes, and CD14-, HLA-DR+, CD1c+, DC-SIGN+ moDCs. (B) Representative histograms of moDC CD86 signal after treatment; mean fluorescence intensity for (C) CD86, (D) CD40, (E) PD-L1, and (F) BTLA. Samples were in technical triplicates (N = 3) from the same patient PBMCs. Significance was determined by one-way ANOVA compared to UT group. *p < 0.05, **p < 0.01, ***p < 1 × 10-3, ****p < 1 × 10-4. Abbreviations: PBMCs = peripheral blood mononuclear cells; moDCs = monocyte-derived dendritic cells; HLA-DR = human leukocyte antigen-DR; rapa = rapamycin; LPS = lipopolysaccharide; MFI = mean fluorescence intensity; BTLA = B and T lymphocyte attenuator; PD-L1 = programmed cell death ligand 1; UT = Untreated; LPS moDC= moDCs treated with 0.1 µg/mL LPS on day 8; Rapa moDC = moDCs treated with 10 ng/mL rapa on day 7 then washed on day 8; Rapa + LPS moDCs = moDCs treated with 10 ng/mL rapa on day 7 then washed and treated 0.1 µg/mL LPS on day 8. Please click here to view a larger version of this figure.
Figure 4: Representative gating strategy for identification of CD4+, CD25+, FoxP3+ Tregs. Sample was analyzed from thawed T cells on day 12. Abbreviations: SSC-A = side scatter-peak area; FSC-A = forward scatter-peak area; Tregs = regulatory T cells. Please click here to view a larger version of this figure.
Figure 5: Representative T cell analysis of moDC-T cell co-culture on day 12. (A) Representative CD25 versus FoxP3 flow plots of Live, single, CD4+ T cells to identify Tregs. Left column contains controls: T cells only (top) and CD3/CD28-stimulated T cells (bottom). Middle column: moDCs without rapa treatment, right column: moDcs with rapa treatment. For middle and right columns, top row is samples without LPS and bottom is with LPS treatment. (B) Representative gating for T cell proliferation. Either CD4+ (left) or CD8+ (right) T cells were plotted against proliferation stain. Peaks are indicated for 0, 1, 2, or 3 cell divisions. Histograms are labeled with the type of moDC treatment. Abbreviations: rapa = rapamycin; LPS = lipopolysaccharide; moDCs = monocyte-derived dendritic cells; T cells only = T cells with no moDCs without CD3/CD28 treatment; UT = Untreated; LPS moDC = moDCs treated 0.1 µg/mL LPS on day 8; Rapa moDC = moDCs treated with 10 ng/mL rapa on day 7 then washed on day 8. Note that rapa treatment increases relative amounts of cells with 0 divisions. Please click here to view a larger version of this figure.
Figure 6: Analysis of multiple moDC/T cell samples with additional immunmodulators. MoDCs were treated with 1 µM Dexamethasone, 10 ng/mL IL-10, 1 µg/mL Lipopolysaccharide, or 1 nM vitamin D3 in addition to 10 ng/mL Rapa as the immunomodulators given in step 2.1.4 but omitting immunostimulation. We also included a sample that was given Dex in step 2.1.4 and treated with 0.1 µg/mL LPS in step 2.3.3 on day 8 (Dex + LPS). (A,-D) Cytokine analysis of moDCs. Supernatants were tested for IL-10 either (A) 24 h or (B) 72 h after step 2.3.3 or tested for TNFα for C) 24 h or (D) 72 h after step 2.3.3 using commercial ELISA kits. N = 5. (E-H) Analysis of moDC surface markers. Similarly, moDCs were analyzed via flow cytometry for PD-L1 at (E) 24 h or (F) 72 h or for CD86 at (G) 24 h or (H) 72 h. N = 5. (I) Analysis of T cell proliferation. CD4+ T cells on day 12 were analyzed for T cell proliferation and the number of cell divisions per 100 T cells were calculated. Samples were incubated at a 1:5 moDC:T cell ratio, N = 4. (E) Treg analysis. MoDCs differentiated from five different patients were analyzed in a similar fashion as in Figure 5. Left, untreated moDCs; right, moDCs treated with 10 ng/mL rapa. Each colored line represents a different patient sample. Significance was determined by one way ANOVA. *p < 0.05, **p < 0.01.Abbreviations: rapa = rapamycin; LPS = lipopolysaccharide; TNFα = tumor necrosis factor-alfa; moDCs = monocyte-derived dendritic cells; UT = Untreated; LPS moDC = moDCs treated 0.1 µg/mL LPS; Rapa moDC = moDCs treated with 10 ng/mL rapa, Dex = moDCs treated with 1 µM Dexamethasone, IL-10= moDCs treated with 10 ng/mL IL-10, VD3= moDCs treated with 1 nM vitamin D3, Dex + LPS= moDCs treated with 1 µM Dexamethasone on day 7 and then 0.1 µg/mL LPS on day 8. Please click here to view a larger version of this figure.
moDC Culture Medium | Flow Staining Solution | T Cell Culture Medium | T Cell Freeze Medium | |
Media Base | RPMI 1640 | HBSS | RPMI 1640 | T cell Culture Media |
Component 1 | 10% heat-inactivated FBS (HI-FBS) | 1% BSA w/v | 10% heat-inactivated FBS (HI-FBS) | 10% DMSO |
Component 2 | 1x Penicillin-Streptomycin | 0.1 mM EDTA | 1x Penicillin-Streptomycin | N/A |
Component 3 | N/A | N/A | 1 mM HEPES | N/A |
Component 4 | N/A | N/A | 1 x Non-essential amino acids | N/A |
Component 5 | N/A | N/A | 50 μM β-mercaptoethanol | N/A |
Table 1: Description of Cell Culture Reagents
Panel | Antibody | Fluorophore | Dilution | Channel |
Validation | HLA-DR | Alexa Fluor488 | 1:500 | Blue 1 |
CD14 | PE | 1:500 | Blue 2 | |
DC-SIGN | Percp-Cy5.5 | 1:500 | Blue 3 | |
CD1c | PE-Cy7 | 1:500 | Blue 4 | |
CD40 | APC | 1:500 | Red 1 | |
Tolerance | CD86 | FITC | 1:500 | Blue 1 |
PD-L1 | PE | 1:5000 | Blue 2 | |
DC-SIGN | Percp-Cy5.5 | 1:500 | Blue 3 | |
CD1c | PE-Cy7 | 1:500 | Blue 4 | |
BTLA | APC | 1:250 | Red 1 | |
CD40 | APC efluor 780 | 1:500 | Red 3 | |
Treg | CD4 | Alexa Fluor488 | 1:500 | Blue 1 |
CD8 | PE-Cy7 | 1:500 | Blue 4 | |
CD25 | APC | 1:500 | Red 1 | |
T Proliferation | CD4 | Alexa Fluor488 | 1:500 | Blue 1 |
CD69 | PE | 1:500 | Blue 2 | |
CD8 | PE-Cy7 | 1:500 | Blue 4 | |
*All antibodies are diluted in Flow Stain Solution |
Table 2: Description of Flow Cytometry Antibody Panels
Here we describe a reliable and versatile method to assess the functionality of immunomodulatory agents to induce tolDCs from moDCs and validate their functionality to generate Tregs from autogenic T cells ex vivo. There are several critical steps in this protocol. First, monocytes are notoriously sensitive cells and must be obtained from fresh, not previously frozen PBMCs for the best results. Monocytes should be isolated as soon as possible and placed in the differentiation cocktail. Typically, poor monocyte yield or high rates of monocyte death in the first 24 h are due to freeze/thawing cycles or prolonged periods between isolation of PBMCs and monocytes. Second, cytokines used for differentiation of moDCs and T cell culture media must be from a high-quality source. Typically, poor differentiation of moDCs is due to poor quality or incorrect concentrations of cytokines. Third, we recommend that T cells be frozen between day 1 and day 7 and not kept in culture to preserve their naïve and unstimulated phenotype. Fourth, if may be helpful to allow treated moDCs to rest for up to 72 h to allow for increases in tolerogenic markers such as PD-L1 and IL-10 as seen in Figure 6. Finally, as seen in our data, there is wide patient variability in Treg generation capacity, so each control must be run with each patient sample to draw conclusions. We recommend testing multiple patient samples.
In our representative results, we chose a rather restrictive experimental design for demonstrating tolerance with a high bar. We chose a moderately low concentration of rapa (10 ng/mL), only incubated with already-differentiated moDCs for 24 h and then incubated in a 1:5 moDC:T cell ratio for 72 h with CD3/CD28 non-specific stimulation. This protocol is highly versatile as any of the following conditions can be easily altered: immunomodulator concentration, immunomodulator incubation time, whether incubation occurs concurrently with moDC differentiation or separately, moDC:T cell co-culture ratio, co-culture incubation time, and T cell co-stimulation. All these factors can alter how readily moDC treatment induces Treg generation. Of note is the use of non-specific CD3/CD28 stimulation to induce T cell proliferation. This could readily be replaced with an antigen of interest -- a control antigen such as CEFT peptide pools with healthy patient samples or autoantigens like insulin with type 1 diabetes patient samples27,28. This would provide antigen-specific tolerance data, which would likely be different from non-specific Treg mediated tolerance.
While versatile, this protocol does have some limitations. Namely, it is limited to only a few tolDC markers, CD86, CD40, PD-L1, and BTLA. These are commonly accepted markers and a limitation of the number of available channels in our laboratory flow cytometer. Other markers such as ILT-3 and ILT-4 or other could also be chosen25. This protocol also does not evaluate other types of suppressor T cell subsets, such as type 1 regulatory T cells (Tr1) cells, which can demonstrate potent protective phenotypes in vivo29. We contend, however, that this protocol evaluates the functionality of DCs to generate classical FoxP3+ CD25+ Tregs, which is sufficient for the initial screening of novel immunomodulatory compounds and the evaluation of DC tolerogenic capacity.
Another interesting aspect of human moDC evaluation is patient variability and the limited IL-10, PD-L1, BLTA and, most importantly, Treg response to immunomodulators shown in our representative results, particularly to rapa. The literature shows conflicting results. Similar results to this paper have been seen in both rapa-treated murine and human DCs, showing decreases in markers of DC maturity (CD80/CD86/CD40) and prevention of IL-2 release from T cells when non-specifically stimulated, but no T cell death or Treg generation26,30. However, other studies in both humans and mice show that ex vivo rapa-treated DCs show high levels of Treg generation25. Rapa is a mechanistic target of rapamycin (mTOR) inhibitor, a protein kinase in the PI3K/AKT/mTOR signaling pathway having several crucial cellular functions such as cell growth, proliferation, and survival31. Rapa is often used as an anti-rejection medication for transplantation and has a well-established clinical benefit in preventing immunological responses. Specifically for its use as a tolDC-induction agent, however, rapa can have varying effectiveness from patient to patient.
This highlights the need to both rigorously investigate tolDC induction agents against wider patient populations and identify novel immunomodulatory compounds. An overwhelming number of clinical studies on human tolDCs use either rapa, IL-10, dexamethasone, or vitamin D3 as immunomodulators32. This leaves a wide chemical space unexplored. We present this assay as an investigative tool to assess the tolDC induction potential of novel immunomodulators and to evaluate their potential to generate tolDCs from endogenous DCs. This protocol is simple, versatile, requires only a flow cytometer, and could be adapted for high-throughput functionality.
The authors have no conflicts of interest to disclose.
We would like to thank the University of Pennsylvania's Human Immunology Core (HIC) for providing fresh human PBMCs from donors. The HIC is supported in part by NIH P30 AI045008 and P30 CA016520.
Name | Company | Catalog Number | Comments |
0.1-10 µL Filtered Pipet tips | VWR | 76322-158 | General Cell Culture |
1.5 mL Centrifuge Tube | VWR | 77508-358 | General Cell Culture |
10 mL Serological Pipets | VWR | 414004-267 | General Cell Culture |
100-1000 µL Filtered Pipet tips | VWR | 76322-164 | General Cell Culture |
15 mL Conical Tube | VWR | 77508-212 | General Cell Culture |
20-200 µL Filtered Pipet tips | VWR | 76322-160 | General Cell Culture |
2-Mercaptoethanol | MP Biomedical | 194834 | T Cell Culture |
50 mL Conical Tube | VWR | 21008-736 | General Cell Culture |
60 x 15 mm Dish, Nunclon Delta | Thermo Fischer | 150326 | General Cell Culture |
96 Well Conical (V) Bottom Plate, Non-Treated Surface | Thermo Fischer | 277143 | General Cell Culture |
96 well Flat Bottom Plate | Thermo Fischer | 161093 | General Cell Culture |
APC/Cyanine7 anti-human CD272 (BTLA) Antibody | Biolegend | 344518 | Flow Cytometry |
Attune NxT (Red/Blue Laser, 7 Channel) | Thermo Fischer | A24863 | Flow Cytometry |
BSA | Thermo Fischer | 15260-037 | General Cell Culture |
CD14 Monoclonal Antibody (61D3), PE | Thermo Fischer | 12-0149-42 | Flow Cytometry |
CD1c Monoclonal Antibody (L161), PE-Cyanine7 | Thermo Fischer | 25-0015-42 | Flow Cytometry |
CD209 (DC-SIGN) Monoclonal Antibody (eB-h209), PerCP-Cyanine5.5 | Thermo Fischer | 45-2099-42 | Flow Cytometry |
CD25 Monoclonal Antibody (CD25-4E3), APC | Thermo Fischer | 17-0257-42 | Flow Cytometry |
CD274 (PD-L1, B7-H1) Monoclonal Antibody (MIH1), PE | Thermo Fischer | 12-5983-42 | Flow Cytometry |
CD4 Monoclonal Antibody (RPA-T4), Alexa Fluor 488 | Thermo Fischer | 53-0049-42 | Flow Cytometry |
CD40 Monoclonal Antibody (5C3), APC | Thermo Fischer | 17-0409-42 | Flow Cytometry |
CD40 Monoclonal Antibody (5C3), APC-eFluor 780 | Thermo Fischer | 47-0409-42 | Flow Cytometry |
CD69 Monoclonal Antibody (FN50), PE | Thermo Fischer | MA1-10276 | Flow Cytometry |
CD86 Monoclonal Antibody (BU63), FITC | Thermo Fischer | MHCD8601 | Flow Cytometry |
CD8a Monoclonal Antibody (RPA-T8), PE-Cyanine7 | Thermo Fischer | 25-0088-42 | Flow Cytometry |
Conical Bottom (V-well) 96 Well Plate | Thermo Fischer | 2605 | Flow Cytometry |
Cryogenic Vials, 2 mL | Thermo Fischer | 430488 | T Cell Culture |
Dimethylsulfoxide (DMSO), Sequencing Grade | Thermo Fischer | 20688 | General Cell Culture |
DPBS | Thermo Fischer | 14200166 | General Cell Culture |
EasySep Human Monocyte Isolation Kit | Stem Cell Technologies | 19359 | Cell Separation |
EasySep Human T Cell Isolation Kit | Stem Cell Technologies | 17951 | Cell Separation |
EasySep Magnet | Stem Cell Technologies | 18000 | Cell Separation |
EDTA | Thermo Fischer | AIM9260G | General Cell Culture |
Falcon Round-Bottom Polystyrene Tubes, 5 mL | Stem Cell Technologies | 38025 | Cell Separation |
Fc Receptor Binding Inhibitor Polyclonal Antibody | Thermo Fischer | 14-9161-73 | Flow Cytometry |
Fetal Bovine Serum | Thermo Fischer | A5670701 | General Cell Culture |
Fixable Viability Dye eFluor 780 | Thermo Fischer | 65-0865-18 | Flow Cytometry |
Foxp3 / Transcription Factor Staining Buffer Set | Thermo Fischer | 00-5523-00 | Flow Cytometry |
FOXP3 Monoclonal Antibody (PCH101), PE-Cyanine5.5 | Thermo Fischer | 35-4776-42 | Flow Cytometry |
HBSS | Thermo Fischer | 14170-112 | General Cell Culture |
Heat Inactivated Fetal Bovine Serum | Thermo Fischer | A5670801 | General Cell Culture |
HEPES (1 M) | Thermo Fischer | 15630106 | moDC Cell Culture |
HLA-DR Monoclonal Antibody (L243), Alexa Fluor 488 | Thermo Fischer | A51009 | Flow Cytometry |
Human CD3/CD28/CD2 T Cell Activator | StemCell Technologies | 10970 | T Cell Culture |
Human GM-CSF Recombinant Protein | Thermo Fischer | 300-03 | moDC Cell Culture |
Human IL-10 ELISA Kit, High Sensitivity | Thermo Fischer | BMS215-2HS | ELISA |
Human IL-4, Animal-Free Recombinant Protein | Thermo Fischer | AF-200-04 | moDC Cell Culture |
Human PBMC (Freshly Isolated) | UPenn HIC | N/A | Cells |
Human TNF alpha ELISA Kit | Thermo Fischer | BMS223-4 | ELISA |
Light Microscope (DMi1) | Lucia | 391240 | General Cell Culture |
Lipopolysaccaride (LPS) | Invivogen | tlrl-eblps | moDC Cell Culture |
LIVE/DEAD Fixable Near-IR Dead Cell Stain Kit | Thermo Fischer | L34975 | Flow Cytometry |
MEM Non-Essential Amino Acids Solution (100x) | Thermo Fischer | 11140050 | T Cell Culture |
Penicillin-Streptomycin (100x) | Thermo Fischer | 15140122 | General Cell Culture |
Pipette Controller | VWR | 77575-370 | General Cell Culture |
Rapamycin, 98+% | Thermo Fischer | J62473.MF | moDC Cell Culture |
RPMI 1640 with Glutamax | Thermo Fischer | 61870-036 | General Cell Culture |
Separation Buffer | Stem Cell Technologies | 20144 | Cell Separation |
T Cell Stimulation Cocktail (500x) | Thermo Fischer | 00-4970-93 | T Cell Culture |
UltraComp eBead Plus Compensation Beads | Thermo Fischer | 01-3333-41 | Flow Cytometry |
Variable Pipette Set | Fischer Scientific | 05-403-152 | General Cell Culture |
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