N. A.
Hotaling
a,
D. M.
Ratner
b,
R. D.
Cummings
c and
J. E.
Babensee
*a
aWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA. E-mail: Julia.Babensee@bme.gatech.edu
bDepartment of Bioengineering, University of Washington, Seattle, WA 98195, USA
cDepartment of Biochemistry, Emory University, Atlanta, GA 30322, USA
First published on 4th July 2014
The comparative dendritic cell (DC) response to glycoconjugates presented in soluble, phagocytosable, or non-phagocytosable display modalities is poorly understood. This is particularly problematic, as the probing of immobilized glycans presented on the surface of microarrays is a common screen for potential candidates for glycan-based therapeutics. However, the assumption that carbohydrate–protein interactions on a flat surface can be translatable to development of efficacious therapies, such as vaccines, which are delivered in soluble or phagocytosable particles, has not been validated. Thus, a preliminary investigation was performed in which mannose or glucose was conjugated to cationized bovine serum albumin and presented to DCs in soluble, phagocytosable, or non-phagocytosable display modalities. The functional DC response to the glycoconjugates was assessed via a high throughput assay. Dendritic cell phenotypic outcomes were placed into a multivariate, general linear model (GLM) and shown to be statistically different amongst display modalities when comparing similar surface areas. The GLM showed that glycoconjugates that were adsorbed to wells were the most pro-inflammatory while soluble conjugates were the least. DC interactions with mannose conjugates were found to be calcium dependent and could be inhibited via anti-DC-SIGN antibodies. The results of this study aim to resolve conflicts in reports from multiple laboratories showing differential DC profiles in response to similar, if not identical, ligands delivered via different modalities. Additionally, this study begins to bridge the gap between microarray binding data and functional cell responses by highlighting the phenotypes induced from adsorbed glycoconjugates as compared to those in solution or displayed on microparticles.
Previous studies have shown that modulation of DC phenotype via phagocytosable nano- and micro-particles bearing carbohydrates is possible.5–9 These studies reported that increased ligand density as well as sugar structure play an important role in DC phenotype modulation. Thus, it has been postulated that glycans presented on particles are recognized by DCs with functional phenotypic effects. However, it has not been demonstrated if this effect is similar when identical ligands are presented via a non-phagocytosable modality. This has relevance to the fields of glycobiology, immunology, and biomaterials because interrogating immobilized glycans presented on the surface of microarrays is a common screen for potential candidates for glycan-based therapeutics. Thus, if the cell response to these surface immobilized glycans is not similar to that of soluble or phagocytosable display of glycans then further study and platform development is needed to address these separate modalities of glycan display. The non-phagocytosable display of glycan to DCs has been interrogated by van Vliet et al. who showed that non-phagocytosable N-acetylgalactosamine (GalNAc) drastically altered DC mobility as compared to other sugars.1 However, no surface marker or cytokine expression was measured for these DCs and thus their overall phenotype, due to these surface displayed glycans, is unknown. Taken cumulatively these studies establish that the mode of glycan presentation can alter DCs phenotype and thus a direct comparison between display modalities using a well-controlled system and defined ligands is needed to quantify these effects.
A platform of bovine serum albumin (BSA) cationized with ethylenediamine (EDA) and modified with the monosaccharides mannose or glucose was chosen for the studies herein. BSA was chosen because Oyelaran et al.25 showed that it was capable of scaling in density to a physiologically relevant density (>20 sugars/protein) that drastically enhanced binding by the carbohydrate-specific protein, C-type lectin receptors (CLRs). Additionally, many studies have shown that BSA is a non-activating support from which to deliver molecules to DCs.36,37 Furthermore, display of glycans in a relatively physiological setting (conjugated to a protein backbone instead of synthetic polymer) was seen as advantageous, as glycoproteins are commonly encountered by DCs in vivo. For example, DCs encounter glycoproteins in circulation because glycoproteins are estimated to represent approximately 50% of all human serum proteins.38
To date, no direct studies have been performed that compare how the charge of a glycoconjugate alters DC phenotype. Historically, cationic vaccine conjugates have been found to enhance the immunogenicity of the vaccine.39–43 Additionally, a recent study by Hotaling et al.10 showed that highly cationized carrier proteins produced highly active glycoconjugates for modification of DC phenotype.10 Glucose was selected as a negative control because no known CLR on DCs can bind to the monosaccharide glucose. Mannose was chosen because mannose-binding CLRs on DCs are extensively studied and well characterized. Also, DCs constantly encounter mannose-rich glycans in different modalities: soluble glycoproteins (plasma glycoproteins),44 particulate bound glycoproteins (bacterial and viral surfaces),45,46 and non-phagocytosable glycoproteins (endothelium and parasites).47,48 The outcome from stimulation by each of these modalities ranges from tolerogenic to pro-inflammatory.
:
1 sugar
:
carrier molar ratio. Argon gas was passed over the solution and the tubes were sealed with paraffin and allowed to react for 16 hours at RT. After conjugation the glycoconjugates were purified with 10 K Membrane Centrifugal Filter Units (Millipore; Darmstadt, Germany) using 9 rounds of 1
:
10 buffer exchanges against distilled, endotoxin free, water. Glycoconjugates were then cationized using a stock 1 mg ml−1 glycoprotein solution and adding 1.8 M EDA (pH 4.5) in a 1
:
1 volume ratio to the glycoprotein. To these solutions 1-ethyl-3-[3-dimethylaminopropyl]carbodiimide hydrochloride (EDC) was added to a 7.5 mM concentration. The resultant solution was allowed to react for two hours at RT while being shaken at 900 RPM. After conjugation the glycoconjugates were purified as discussed above. The overall experimental approach is shown in Fig. 1 including glycan modification of the maleimide functionalized BSA, cationization of the BSA with 0.9 M EDA, the subsequent adsorption of the glycoconjugates onto 384-well plates or microbeads, and finally assessment of DC phenotype to conjugates that were either soluble, bead adsorbed (BA), or adsorbed to wells (AW) of a 384-well plate.
:
1 vol ratio with diammonium hydrogen citrate (DHC) onto a MALDI plate. A linear positive detection method was used for the conjugates. Mass profiles were then exported, plotted and the mean of each mass peak was determined. No significant crosslinking of maleimide conjugates was seen in the spectra. A representative spectra of the conjugates can be seen in Fig. S3 in the ESI.† To determine the isoelectric point (pI) glycoconjugates were diluted to 500 ng ml−1 in ultrapure endotoxin free water and then each conjugate was divided between five different cuvettes (PCS1115, Malvern). The pH in each cuvette was then adjusted to 3.0, 5.0, 7.0, 9.0, or 11.0 using 1 M sterile NaOH or 1 M sterile HCl. Using a Malvern Zetasizer Nano (Malvern, Malvern, Worcestershire, UK.) the ζ-potential and hydrodynamic radius of each solution was then determined. The pH vs. the ζ-potential was then plotted and the subsequent pI of each conjugate was then determined via interpolation of the least squares regression to which point the ζ-potential equaled 0.
The endotoxin contents of the glycoconjugates at a concentration of 100 μg ml−1 (5× the coating concentration used) were measured using an endotoxin assessment kit and the manufacturers recommended protocol (QCL-1000 LAL assay, Lonza). The endotoxin content of all glycoconjugates was determined to be less than 0.2 EU mL−1, which is well below the FDA limit of 0.5 EU mL−1. Furthermore, all mannose conjugates were below the detection limit of the assay for endotoxin content.
:
1 biotin to protein molar ratio and allowed to react for two hours at RT mixing at 900 RPM. Subsequently, proteins were purified via provided Zeba spin columns (Pierce; Rockford, IL) and then diluted to 15 μg ml−1 with lectin buffer (0.1 mM MgCl2, 0.1 mM CaCl2, and 1× phosphate buffered saline (PBS)) (Sigma; St. Louis, Missouri). The extent of biotinylation was then confirmed via included standards and UV fluorescence at 354 nm.
After the completion of the overnight incubation, all wells with glycoconjugates were washed and blocked for two hours at 37 °C with block solution (1× PBS, 5 mg ml−1 biotin-free BSA, 1 mM MnCl2, 1 mM CaCl2 and 0.1 wt% TWEEN20). After blocking, the plates were then washed 5 times with the wash solution 3 (0.5 mg ml−1 BSA in 0.1× PBS, 0.1 mM MnCl2, 0.1 mM CaCl2, and 0.01 wt% TWEEN 20). Next, a 15 μg ml−1 rhDectin1-biotin or 15 μg ml−1 rhDC-SIGN-FC-biotin (diluted in lectin buffer) was incubated with the adsorbed conjugates for three hours at 37 °C or overnight at 4 °C. The plates were then washed 5 times with wash solution 3 and 40 μl of a streptavidin-(horseradish peroxidase) (BD Pharmingen; San Jose, CA) solution diluted 100× with lectin buffer from stock was added to each well and allowed to incubate in the well for 1 hour at RT. The plate was then washed 5× more with the wash solution 3 and a TMB (3,3′,5,5′-tetramethylbenzidine-peroxide) substrate (BD Pharmingen; San Jose, CA) was added and the plates were allowed to develop for 10 minutes. Sulfuric acid (1.0 N) was then added to stop the reaction and the absorbance at 450 nm was determined.
For all soluble conjugate treatments wells of a 384-well plate were pre-coated with complete DC medium overnight. The wells were then washed with complete DC medium five times and blocked for two hours at 37 °C with 5 mg ml−1 biotin-free HSA in 0.1 M NaHCO3. Glycoconjugates were dissolved in complete DC medium (at concentrations starting at 100 μg ml−1 with 1
:
10 dilutions down to 10 ng ml−1) and used to resuspend DCs, which were then immediately added to the pre-blocked wells of the 384-well plate for a 24 hour incubation. The phenotype of the DCs was then assessed using the HTP methodology discussed below. To ensure that soluble conjugates were not able to adsorb to wells a binding assay similar to that performed above was performed on the wells after blocking with complete DC medium and adding the soluble glycoconjugates. After a 24 hour incubation it was found that due to the diverse glycosylation profile of the proteins in FBS large background noise was generated from the adsorbed proteins even if soluble conjugates were not added (data not shown). To ensure that this non-specific glycoprotein adsorption was not affecting DC maturation DCs were cultured on medium pre-treated wells and they showed no activation and thus the background signal induced from FBS glycoproteins was considered not important to DC activation.
For all experiments where DCs were treated with glycoconjugates that were bead adsorbed (BA), wells of the 384-well plate were pre-coated with complete DC medium overnight. The wells were then washed with complete DC medium five times and blocked for two hours at 37 °C with 5 mg ml−1 biotin-free HSA in 0.1 M NaHCO3. Polystyrene beads (1 μm; Fisher Scientific, Waltham, MA) were coated with 20 μg ml−1 of the BSA glycoconjugates dissolved in PBS overnight at RT. Beads were then centrifuged at 10 K RCF for 3 minutes, supernatants removed, and beads resuspended in complete DC medium for dispersion of beads by vortexing. This process was repeated twice more to wash beads. Beads were then resuspended to their original volume in complete DC medium and added to DCs in the blocked wells of the 384 well plate at bead numbers corresponding to 0.2×, 1.0×, 5.0× and 25.0× the surface area of a well and incubated for 24 hours. The phenotype of the DCs was then assessed using the HTP methodology discussed below.
000 units ml−1 respectively for the TMF control (tDC).
:
1 AF488 to protein molar ratio (1 hour, RT). After conjugation, the glycoconjugates were purified using 10 kDa molecular weight cut-off Membrane Centrifugal Filter Unit (Millipore) using 9 rounds of 1
:
10 buffer exchanges against distilled, endotoxin free, water and stored in the dark. When delivered to cells in a soluble form, all wells were pre-coated with complete DC medium overnight prior to addition of cells or soluble conjugates.
:
10 cell to bead ratio and the subsequent phagocytosis was assessed after four hours.
For assessment of phagocytosis of soluble, AW or BA conjugates cell suspensions were pipetted up and down vigorously 3 times and then transferred to 1.5 ml eppendorf tubes. Cells were then spun down at 300 RCF for 10 minutes and the resultant supernatant was removed. Cells were washed with PBS, fixed with 1% formaldehyde for 30 minutes, washed again with PBS, and incubated with 0.1% trypsin for 1 minute. Cells were then washed three times with PBS, and phagocytosis was quantified via flow cytometry (BD LSR II Flow Cytometer, BD Biosciences; San Jose, CA).
Model 1a and b show the general linear models that have IMF (a) or TMF (b) as outcome variables and are a function of the ligand conjugated to BSA, modality of display, and the donor. The models in Model 1a and b isolated and compared the effect of presentation modality on DC IMF (Model 1a) and TMF (Model 1b) when controlling for ligand and donor variations. The null hypothesis was that modality of presentation did not play a role in IMF or TMF and thus that this variable would not have a significant T value when compared to the referent group discussed below.
| IMF = β1 + β2 × donor + β3 × ligand + β4 × modality | (1a) |
| TMF = β1 + β2 × donor + β3 × ligand + β4 × modality | (1b) |
For the comparative model used, the R2 was calculated to determine how well the model fits the data. The R2 value of Model 1a was 0.874 and thus the model was seen as a reasonably good model for the data. The R2 value of Model 1b was 0.723 and thus the model was seen as a reasonably good model for the data. Furthermore, IMF data has historically been shown to be approximately of a normal distribution and the variance of the data remains constant across all samples thus the linear model used herein was further deemed as a valid analysis method.11
Model 2 shows a GLM that has IMF as an outcome variable and is a function of donor used (donor), ligand linked to BSA (ligand), modality of presentation (modality), and the interaction between modality and ligand (ligand × modality). Model 2 isolated and compared the pairwise comparisons between all pairs of ligand on BSA and modality of display of that ligand. The null hypothesis was that no ligand-modality combination would be different from each other. To make this comparison, after the ANOVA was performed, all ligand-modality combinations were compared using Tukey's Post-test. More discussion of the models, their references, and variables can be found in the ESI† of this report.
| IMF = β1 + β2 × donor + β3 × ligand + β4 × modality + β5 × ligand × modality | (2) |
| Name | Ligands | Isoelectric point | Hydrodynamic radius (nm) |
|---|---|---|---|
| BSA | |||
| HBSA | 0.00 | 10.08 | 5.12 |
| HBSA–OEG | 4.41 | 9.85 | 2.97 |
| HBSA–Glc | 26.20 | 10.10 | 3.62 |
| HBSA–Man | 23.50 | 9.63 | 2.99 |
The trend of increasing DC IMF level with increasing bead to well surface area ratio was then analyzed using a GLM in which donor and treatment were controlled for and bead to well surface area ratios were compared. Using Tukey's Post-test, all pair-wise comparisons between bead to well surface area ratios were performed and the results are shown in ESI Table S2.† Levels of DC IMF were significantly different for both 5× and 25× bead to well surface area ratios as compared to the levels for 0.2× or 1.0×. However, DC IMF levels were not statistically different for 0.2× as compared to 1.0× or when comparing 5× to 25× bead to well surface area ratios. No significant increase in DC TMF for any BA conjugate was seen except for the TMF positive control, tDC.
No concentration of soluble glycoconjugate caused any significant increase in DC IMF (Fig. 3C) or TMF (Fig. 3D). However, when control ligand β-glucan was delivered to DCs at concentrations between 100 ng ml−1 and 100 μg ml−1, DC IMF levels increased significantly over that of untreated cells. Interestingly, β-glucan treatment at 100 μg ml−1 did not cause the highest level of IMF expression in treated DCs. To test if this was due to cell death, DC apoptosis was assessed (fluorescent intensity of Annexin V-FITC) and a statistically significant increase in apoptosis of DCs at this β-glucan concentration was found and can be seen in Fig. S1.†
Fig. 3E shows that when control ligands Mannan or β-glucan were presented in an AW modality to DCs, IMF levels increased significantly over that of untreated iDCs. Similarly, DCs treated with LPS, the positive IMF control, also showed statistically higher levels of IMF as compared to iDCs. Interestingly, HBSA–Glc or HBSA–Man presented in an AW modality resulted in significantly higher levels of IMF as compared to that of iDCs. Fig. 3F shows that no significant increase in DC levels of TMF were observed upon DC treatment with any of the conjugates presented in an AW modality, except for the tDC control.
The results of Model 1a show that DC IMF levels were statistically different for all modalities when controlling for ligand and donor; with all probabilities being lower than P < 0.0042 (Table 2). The results of Model 1b showed that for DC TMF levels no modalities were statistically different from each other.
| 1 μg ml−1 soluble | 1 μm bead | Well adsorbed | |
|---|---|---|---|
| 1 μg ml−1 soluble | <0.0001 | 0.0042 | |
| 1 μm bead | <0.0001 | <0.0001 | |
| Well adsorbed | 0.0042 | <0.0001 |
Based off of the results from Model 1a and b, a model assessing the interaction between ligand and modality was desired to determine which ligand/modality combinations resulted in significantly different DC IMF levels from each other. The key statistically significant result from Model 2 was that the level of IMF for DCs treated with HBSA–Man in an AW modality was statistically different from that for DCs treated with soluble HBSA–Man or soluble HBSA–Glc. An analysis of DC TMF using an interaction variable was not performed due to results from Model 1b showing no significant change in DC TMF for any modality of display.
The extent of internalization of glycoconjugates by DCs was assessed by quantifying uptake of fluorescently-labeled conjugates presented in an AW (Fig. 5A) or soluble (Fig. 5B) modality. In Fig. 5A, DC internalization of fluorescent HBSA–Man conjugates presented in an AW modality was significantly inhibited as compared to isotype antibody treated DCs when the DCs were pre-treated with anti-DC-SIGN, 10 mM EDTA or treated at 4 °C. Dendritic cell internalization of all other adsorbed fluorescent conjugates was only inhibited by the negative control treatment of 4 °C.
In Fig. 5B, internalization of soluble fluorescently-labeled HBSA–Man or HBSA–Glc conjugates by DCs was significantly inhibited, as compared to isotype antibody treated DCs, when the DCs were pre-treated with 10 mM EDTA or treated at 4 °C. Dendritic cell internalization of soluble fluorescently-labeled HBSA–OEG conjugates, when treated with 10 mM EDTA or at 4 °C, was below the detection limit of the assay. Fluorescently-labeled soluble HBSA conjugate internalization by DCs was only significantly inhibited by the negative control 4 °C treatment. Interestingly, when comparing the internalization of conjugates from an AW modality (Fig. 5A) to soluble conjugates (Fig. 5B), anti-DC-SIGN treatment significantly inhibited internalization of fluorescent conjugates in an AW modality but not soluble conjugates. Furthermore, EDTA shows a much greater inhibitory role in DC internalization of all soluble (other than fluorescent HBSA) conjugates than it does in conjugates presented in an AW modality, indicating a functional requirement for Ca2+ in internalization.
Dendritic cells are capable of interacting with both phagocytosable and soluble presentations of glycoconjugates as supported by both Fig. 3 and 4. However, direct comparisons between modalities could be impossible because glycan display density on flat well surfaces could be significantly different than that of the soluble or phagocytosable modalities. Because CLRs are multivalent receptors, this potential difference could enhance DC interaction with conjugates from a given modality. Determining quantitative estimates of glycan surface interaction with DCs is extremely technically challenging when looking at microbead presentation, and not possible when delivered in solution. Thus, large ranges in concentration and bead number were tested to increase the contact area of glycoconjugate per cell to mitigate this concern. Additionally, the same base material was used (polystyrene) for both the bead and microwell surface display. The glycoconjugate surface density between these two display modalities are predicted to be similar, as steric hindrance of protein adsorption on such relatively large beads (1 μm versus a maximum hydrodynamic radius of 5.2 nm for the conjugates) has been shown to not affect protein adsorption.14,15
DCs did not respond to soluble mannan at any of the concentrations tested. This result is contrary to observations in previous studies wherein soluble mannan was an immune agonist for DCs.6–8 However, in these previous studies, mannan was combined with particulates based on liposomes linked through membrane lipids, such as cholesterol6 or palmitoyl-mannan7 to exert the mannan effect. Therefore, the synergistic effect of the lipids particulate/surface along with the mannan could explain the activation reported in these studies. Indeed, in an elegant study by Wattendorf et al.5 human DCs were treated with phagocytosable PS microbeads functionalized with poly-L-lysine which then had mannan passively adsorbed onto the surface. This presentation was hypothesized to leave the mannan free in solution, and not adsorbed to the bead surface, and no DC maturation was found.
Statistical modeling allowed for the comparison between modality of presentation of conjugates controlling for different ligands and for repeated measures of donors. Model 1a and b showed a quantitative comparison of the different modalities seen in Fig. 2. The result that DC response to HBSA–Man in an AW modality was different from their response to soluble glycoconjugates was anticipated from a cursory comparison of the statistics shown in Fig. 3. This result was further strengthened when considering the antibody-blocking results in Fig. 4. Fig. 4D indicates that for beads coated with HBSA–Man, phagocytosis is mediated through lectin interaction and can be partially inhibited by blocking DC-SIGN. Additionally, Model 2 used the interaction variable between ligand and modality to assess effects of differences between modality/ligand combinations on DC IMF levels. The results of the modeling indicated that the IMF level for DCs treated with HBSA–Man presented in an AW modality was statistically different from soluble delivery of HBSA–Man and soluble HBSA–Glc. In this model, and in Model 1a and b, mannan and β-glucan were not included. Mannan and β-glucan were excluded because they showed clear differences in DC response across modalities. When they were included in the model the large differences from mannan and β-glucan were summed with the differences between glycoconjugates. Thus, each modality was seen as more significantly different when including mannan and β-glucan. Because these ligands were poorly defined, the differential DC response could have been due to factors other than modality and thus they were removed from the model to eliminate confounding effects.
Mannose presenting glycoconjugates are frequently used as agonists for vaccines and to increase DC recognition and uptake of particles.5,16,17 Thus, the lack of induction of tolerogenic DCs as measured through the TMF metric was expected. Similarly, no known effect of the monosaccharide glucose has been shown on DC phenotype. Thus, we expected to observe that no treatments or modalities were significant for the tolerogenic reporter. However, the tolerogenic response of the DCs to the glycoconjugates and controls was tested in all cases because CLRs on DCs are also known to be instrumental in promoting tolerance and maintaining immune cell homeostasis.18–21 The assessment of tolerogenic phenotypes is especially important for DC CLR ligation. It has been shown that identical CLR stimulation can promote tolerance or pro-inflammatory responses from DCs depending on the ligand bound and costimulatory molecules present.22–24 Thus, any methodology that assesses activation and pro-inflammatory responses from DCs using CLRs must also evaluate tolerogenic responses from DCs in order to ensure that both phenotypic outcomes are assessed.
Mass spectra of the conjugates showed that glycan moieties scaled in density with increased molar ratios of glycan. The scaling agrees well with results shown by Oyelaran et al.25 However, it was found that OEG conjugates did not appear to scale with increased molar ratios. The OEG conjugates were created at the same time with identical conditions to those of the other glycoconjugates. It was therefore concluded that the OEG linker mass was small enough that the number of functionalizations per BSA were within the experimental error of the MALDI mass spectra. While no direct evidence of this has been shown in the literature, the average standard deviation of the mass profile for each of the OEG conjugates was 11
774 ± 6180 Da. With an average standard deviation of over 6 kDa and a maximum weight of OEG ligands reaching approximately 3 kDa it would be no surprise that the OEG linker weight could be lost in the noise of the mass profile.
The lectin binding assays shown in Fig. 2 showed that rhDC-SIGN-Fc was able to bind to HBSA–Man but neither rhDC-SIGN-F nor rhDectin-1 were able to bind HBSA–Glc. The magnitude of rhDC-SIGN binding to the HBSA–Man conjugates was seen to be greater in magnitude than that of mannan, the positive control; however, this difference was not statistically significant and thus was seen as a confirmation that ligand density was high enough for these conjugates to cause functional binding of rhDC-SIGN-Fc. Additionally, the higher mean fluorescence of the HBSA–Man conjugates from that of wells treated with HBSA, HBSA–OEG, or HBSA–Glc indicated that rhDC-SIGN-Fc was able to bind to the glycoconjugates with relatively high specificity. Therefore, from Fig. 2A it was inferred that HBSA–Man conjugates could be bound by CLRs found on DCs and that the activation of the DCs shown in Fig. 2 could be partially mediated through this receptor. The Glc conjugates did not show any binding affinity above background for the recombinant Dectin-1 receptor while the positive control, β-glucan, showed high binding affinity. Thus, no known CLR on DCs was found to bind to the Glc conjugates (in recombinant form) which indicates that the activation seen in Fig. 3 was not mediated by Dectin-1 and therefore unlikely to have occurred through any lectin mediated process on DCs. This was further confirmed by the EDTA inhibition studies seen in Fig. 4.
When combining the cell response data from Fig. 3E and the antibody blocking data of Fig. 4, it is clear that the DC responses to the HBSA–Man glycoconjugates was at least in part due to DC CLR interaction. However, from Fig. 4 it is clear that the recombinant human CLRs tested do not mediate HBSA–Glc activation of DCs shown in Fig. 3E. This indicates that the DC response to the HBSA–Glc glycans is independent of DC CLR activation due to the fact that no other lectin known on DCs, other than Dectin-1, can bind β-D-glucose.26 Thus, a different mechanism for DC response to the HBSA–Glc conjugates must be at play for the observed activation of the DCs. Other groups have shown that Complement receptor-3 (CR3), lactosylceramides, and scavenger receptors27 can all bind β-D-glucose and cause DC activation, and thus presumably such receptors are mediating the increase in DC IMF for adsorbed HBSA–Glc conjugates.
Phagocytosis of beads was chosen as a means to assess DC interaction with the glycoconjugate for two reasons. First, mannose-binding CLRs on DCs are known to be phagocytic receptors, thus bead internalization can serve as a functional reporter. Second, using the HTP reporter of IMF or TMF could not be performed after 24 hours in the presence of high concentrations of CLR-blocking antibodies due to extraneous activation of the DCs. All antibody (Ab) treatments of DCs were at 10 μg ml−1 of Ab, including isotype, significantly activated DCs after 24 hours. 2.0 μg ml−1 of Ab was assayed but showed no functional blocking of the receptors in terms of phagocytosis at four hours and no influence on IMF or TMF at 24 hours (Data not shown). Thus, isotype antibody control treated DCs were chosen as the reference group in these studies to overcome concerns over non-specific activation, and thus phenotype modulation of DCs, due to Ab treatment. Finally, mannan was not inhibited by either of the CLR blocking antibodies. This result was not surprising given that many other CLRs on DCs are capable of binding and recognizing mannan.28
When comparing the results of Fig. 4 to that of Fig. 5, a nearly identical trend of inhibition of phagocytosis or internalization is observed between conjugates in a BA and AW modality. Interestingly, inhibition trends were different for soluble conjugates. Fig. 5B shows that anti-DC-SIGN did not inhibit soluble conjugate internalization. To our knowledge this is the first report of this phenomenon. However, other researchers have shown differential DC phenotypes when CLR ligands were presented in soluble and particulate form1–3 and macropinocytosis has been shown to mediate mannosylated protein internalization by DCs.29,30 Furthermore, the finding that anti-DC-SIGN does not inhibit internalization of fluorescent conjugates suggests a possible mechanism through which the differential activation profile noted by Wattendorf et al.5 between mannan conjugates could be mediated. Also of importance from Fig. 5 was that, when looking at the signal generated from either modality, it is clear that DCs internalize the conjugates in both soluble and AW modalities. Further, when looking at raw non-normalized signals we observed that DCs internalize over two orders of magnitude more glycan in soluble form than from an AW modality (data not shown). Anti-Dectin 1 was not included in the experiment shown in Fig. 5 because Dectin 1 is not a phagocytic receptor,31 thus it was concluded that it would not alter DC phagocytosis over that of isotype anti-bodies. The results show that the internalization of conjugates from the AW modality must not be the sole process necessary for the increase in DC IMF seen in Fig. 3.
In this study a HTP cellular methodology was used to assess DC phenotype. This assay was adapted for use with adsorbed glycoconjugates from a HTP methodology that has been published previously.11 The IMF reporter was shown to be an excellent indicator of overall DC phenotype11,32,33 as validated by flow cytometry and multiplex cytokine secretion. Cellular adhesion or migration was not used in this study as an indicator of DC phenotype because these outputs have been shown to be poor indicators of DC phenotype.34 Also, the end result of the DC maturation process, whether its pro or anti-inflammatory, CD4 or CD8 stimulating, etc. is independent of adhesion. Thus, adhesion is not an ideal reporter for DC activation.35 High throughput methodologies are necessary when assessing cell response to glycoconjugates because of the extremely limited supply of homogenous, purified, functionalized glycans that are capable of being obtained through biological or synthetic means. While the conjugates used in this study utilized only monosaccharides. The validated assay can now be extended to assess DC phenotype to an array of more complex glycans and glycoconjugates.
This study leaves many questions unanswered which require further investigation. First, given that different modalities of display are capable of producing differential DC phenotypes, what molecular signaling mechanism(s) is involved in the differential response? Possible explanations include mechanical interaction, length of time of interaction with CLRs on the cell surface, ability of CLRs to co-localize for extended periods of time on the cell surface, and/or generation of a “frustrated phagocytosis” state in which DCs release reactive oxygen species and matrix metalloproteinases that leads to activation of surrounding DCs. Finally, the results from Fig. 5 show that conjugates in an AW modality are being internalized by DCs. Whether this internalization is necessary for DC activation and to what extent the internalization of conjugates plays in the phenotype modulation of DCs is an important and unanswered question.
Footnotes |
| † This paper is dedicated to Professor Michael V. Sefton in honour of his 65th Birthday and in recognition of his mentorship, service and leadership to the Biomaterials community. |
| ‡ Electronic supplementary information (ESI) available: The supplemental contains a more in-depth description of statistics and statistical models used. Three tables (Tables S1a, S1b and S2). Tables S1a and S1b describe variables used in the modeling of this report. Table S2 shows comparisons between all surface area ratios compared. Finally the supplemental contains two ESI figures. ESI Fig. S1 shows cell apoptosis in response to the conjugates. Fig. S2 shows cell phagocytosis of control coated beads. Fig. S3 shows representative MALDI spectra of the conjugates. See DOI: 10.1039/c4bm00138a |
| This journal is © The Royal Society of Chemistry 2014 |