Abstract
Sialic acids are negatively charged carbohydrates that cap the glycans of glycoproteins and glycolipids. Sialic acids are involved in various biological processes including cell–cell adhesion and immune recognition. In dendritic cells (DCs), the major antigen-presenting cells of the immune system, sialic acids emerge as important regulators of maturation and interaction with other lymphocytes including T cells. Many aspects of how sialic acids regulate DC functions are not well understood and tools and model systems to address these are limited. Here, we have established cultures of murine bone marrow-derived DCs (BMDCs) that lack sialic acid expression using a sialic acid-blocking mimetic Ac53FaxNeu5Ac. Ac53FaxNeu5Ac treatment potentiated BMDC activation via toll-like receptor (TLR) stimulation without affecting differentiation and viability. Sialic acid blockade further increased the capacity of BMDCs to induce antigen-specific CD8+ T cell proliferation. Transcriptome-wide gene expression analysis revealed that sialic acid mimetic treatment of BMDCs induces differential expression of genes involved in T cell activation, cell-adhesion, and cell–cell interactions. Subsequent cell clustering assays and single cell avidity measurements demonstrated that BMDCs with reduced sialylation form higher avidity interactions with CD8+ T cells. This increased avidity was detectable in the absence of antigens, but was especially pronounced in antigen-dependent interactions. Together, our data show that sialic acid blockade in BMDCs ameliorates maturation and enhances both cognate T cell receptor–MHC-dependent and independent T cell interactions that allow for more robust CD8+ T cell responses.
Supplementary Information
The online version contains supplementary material available at 10.1007/s00018-021-04027-x.
Keywords: Glycosylation, Sialic acid, Dendritic cell, Cell avidity, CD8+ T cell, Sialic acid blockade
Introduction
Glycans are important regulators of the immune system that regulate immune cell development and function, modulate immune receptor interactions, and serve as ligands for glycan-binding proteins (lectins) expressed by immune cells [1, 2]. Several of the regulatory functions of glycans in the immune system are mediated by sialic acids, a family of negatively charged sugar molecules that terminate the glycan chains of glycolipids and glycoproteins at the cell surface and in secretion [3, 4]. The transfer of sialic acids to glycans, sialylation, occurs in the Golgi system and is catalyzed by 20 sialyltransferase isoenzymes that couple sialic acids to glycans via distinct linkages (α2–3, α2–6, or α2–8) [5]. Sialic acid-carrying glycans, sialoglycans, are involved in numerous molecular interactions at the cell surface and have several direct and indirect functions in the immune system [3]. For example, sialoglycans on the lymphocyte glycoprotein PSGL-1 form the ligands for selectins on endothelial cells and this interaction recruits lymphocytes to sites of inflammation [6]. Sialoglycans serve as specific ligands for the sialic acid-binding immunoglobulin-like lectins (Siglecs), a family of immune regulatory receptors [7, 8]. Siglecs are expressed by most cells of the immune system and other cell types and recognize distinct sialoglycans either on the same cell surface (cis-interactions) or on the surface of adjacent cells (trans-interactions) [9, 10]. Sialic acid–Siglec interactions induce either activatory or inhibitory signaling, depending on the Siglec family member, and are important modulators of the immune response [11, 12]. Other general functions of sialic acids in the immune systems include masking of underlying glycan structures and blocking of biophysical interactions by virtue of their negative charge [3]. Although sialic acids play an essential role in the immune system, many of their immune cell type-specific functions remain unexplored.
In DCs, sialic acids have been suggested to regulate several of the specific functions of these major antigen-presenting cells of the immune system [13]. Human and mouse DCs treated with sialidase to remove surface sialic acids and DCs derived from sialyltransferase knock-out mice (St3Gal1−/− and St6Gal1−/−) showed enhanced maturation and increased phagocytosis of bacteria by human monocyte-derived DCs (moDCs), respectively [14–16]. Polysialic acids, linear polymers of α2–8-linked sialic acids, on the CCR7 chemokine receptor regulate chemokine-mediated migration of DCs, as they are required for binding of CCR7 to its chemokine ligand CCL21 [17, 18]. Moreover, several studies have reported that sialidase treatment enhances maturation of DCs and facilitates major histocompatibility complex I and II (MHC I/II) expression or accessibility resulting in improved stimulation of T cells [14, 15, 19]. In line with these studies, we have previously shown that sialylation can be efficiently blocked in human moDC cultures using the fluorinated sialic acid mimetic Ac53FaxNeu5Ac that potently inhibits sialyltransferase activity [20, 21]. Ac53FaxNeu5Ac-treated moDCs showed stronger responses to TLR stimulation compared to control moDCs and had improved ability to activate CD4+ T cells. Moreover, we have recently shown that intratumoral injections with Ac53FaxNeu5Ac suppressed tumor growth in mouse tumor models [22]. This effect was largely mediated by the desialylation of tumor cells and improved eradication by activated CD8+ T cells. Moreover, we observed increased maturation of DCs in the tumor and tumor-draining lymph nodes of mice injected with the sialic acid-blocking mimetic [22]. These studies strongly suggest that sialic acids regulate specific steps in DC biology and that further understanding and control of sialylation, especially in DC–T cell interactions, could advance cellular immunotherapy.
Here, we report on the development of murine bone-marrow-derived DC (BMDC) cultures with blocked sialylation using Ac53FaxNeu5Ac enabling broad dissection and discovery of the biological functions of sialic acids in DCs. Treatment with this metabolic sialyltransferase inhibitor effectively and durably blocked sialylation in BMDCs without affecting viability or differentiation. We confirm and extend previous findings that sialic acids limit DC maturation and demonstrate that blocked sialylation in BMDCs facilitates antigen-specific activation of CD8 + T cells. Using RNA sequencing (seq) analysis we revealed that Ac53FaxNeu5Ac-treatment affects pathways involved in direct DC–T cell interactions and we demonstrate that sialic acid blockade strongly enhances the binding avidity of antigen-dependent and independent interactions between BMDCs and CD8+ T cells. In summary, Ac53FaxNeu5Ac treatment generates fully differentiated BMDC cultures without sialylation that enable dissection of the role of sialic acids in DC biology and in particular their role in DC–T cell interactions.
Materials and methods
Mice
Female C57BL/6 J wildtype (WT) mice (7–14 weeks at the beginning of the experiments) were purchased from Charles River (Sulzfeld, Germany). OT-I mice (8–14 weeks at the beginning of the experiments) producing CD8+ T cells that express a transgenic T cell receptor specific for the chicken ovalbumin (OVA) epitope SIINFEKL (OVA257-264) presented on MHC class I H–2 Kb and the congenic marker CD90.1 were bred and held in house. All mice were kept under specific pathogen-free conditions at the Central Animal Laboratory (Nijmegen, The Netherlands). Drinking water and standard laboratory food pellets were provided ad libitum.
Generation of BMDCs and OT-I T cell isolation
Bone marrow (BM) was harvested from the femurs and tibia of female C57BL/6 J mice. The femurs and tibia were soaked in 70% ethanol for 2 minutes (min) and washed in 1 × PBS. BM from the femurs and tibia was flushed out with RPMI 1640 medium (Gibco, Thermo Fisher Scientific) supplemented with 10% fetal calf serum (FCS; GE healthcare, Little Chalfont, UK), 1% UltraGlutamine (Lonza, Bazel, Switzerland), 0.1% β-mercapto-ethanol (Gibco) and 100 U/m penicillin G sodium and 100 μg/mL streptomycin (Pen/Strep) (Gibco). Single cell suspensions were obtained by passing the isolated BM through 100 µm cell strainers (Falcon, Corning Life Sciences, Tewksbury, MA, USA) followed by erythrocyte lysis for 2 min with cold ACK lysis buffer (150 mM NH4Cl, 10 mM KHCO3 and 0.1 mM EDTA). 4*106 cells were cultured for 7 days in 13 ml medium containing 20 ng/ml granulocyte–macrophage colony stimulating factor (GM-CSF; Peprotech, London, UK) in 10 cm petri dishes (VWR, Radnor, PA, USA) at 37 °C and 5% CO2 under humidified conditions. On day 3, the medium was replenished by adding 4 ml medium containing 37.2 ng/ml GM-CSF and on day 6 by adding 1 ml medium containing 158 ng/ml GM-CSF. BMDCs were harvested on day 7 for experiments. Single cells suspensions were prepared from spleens of OT-I mice through mechanical dissociation using 100 µm cell strainers (Falcon). Splenocytes were resuspended in 1 × PBS containing 1 mM EDTA and 2% FBS. CD8+ T cells were negatively isolated using the EasySep™ Mouse CD8+ T cell Isolation Kit (Stemcell Technologies) following the manufacturer’s protocol.
Reagents and antibodies
The sialic acid mimetic Ac53FaxNeu5Ac was synthesized as described previously [21, 23]. Carbo‐free blocking solution and biotinylated lectins MALII, SNA‐I, and PNA were purchased from Vector Laboratories, Inc. (Burlingame, CA, USA). Streptavidin‐PE was purchased from BD Pharmingen (Franklin Lakes, NJ, USA), eFluor 780 and 450 viability dyes from eBioscience, Inc. (San Diego, CA, USA), CellTrace™ Violet (PSBE) and CFSE Cell Proliferation Kits from Thermo Fisher Scientific. CpG ODN 1668 (‘5-TCCATGACGTTCCTGATGCT-3’) was purchased from Sigma Genosys (Haverhill, UK), lipopolysaccharide (LPS) (Escherichia coli O111:B4) from Sigma-Aldrich, and murine recombinant interleukin (IL)-2 from Immunotools. For flow cytometry experiments, the following antibodies were used: BioLegend: anti-I-A/I-E-BV510 (M5/114.15.2), anti-H-2 Kb/H-2Db-PE (28–8-6), anti-CD86-APC/Cy7 (GL-1), Anti-CD90.1-APC/Cy7 (OX-7). Antibodychain: anti-CD80-A488 (16-10A1), anti-CD40-PE (23/3), anti-CD11c-APC (N418), anti-CD11b-PerCP (M1/70). eBioscience: anti-CD274-PE/Cy7 (MIH5). BD: anti-CD8a-V450 (53–6.7).
Sialic acid blockade, sialidase treatment and TLR stimulation
On day 0, day 3, and day 6 of the BMDC culture, 250 µM Ac53FaxNeu5Ac or DMSO was added to the medium, except for the dose titration experiment, where a concentration between 0 and 500 µM of Ac53FaxNeu5Ac was used. Sialidase treatment was performed with differentiated BMDCs on day 7 by adding 250 mU/ml sialidase from Clostridium perfringens (Sigma-Aldrich) for 1 hour (h) at 37 °C. After incubation, the cells were washed thoroughly and used for experiments. For the TLR stimulation, 1*105 day 7 BMDCs were plated into 96-well round bottom plates (Corning) and stimulated with CpG (200 and 400 ng/ml) or LPS (1 and 10 ng/ml) for 18 h at 37 °C. After the stimulation, the cells were harvested and stained for flow cytometry analysis.
RNA sequencing and bioinformatics analysis
BMDCs differentiated for 7 days in the absence or presence of Ac53FaxNeu5Ac (250 µM) were subjected to sorting for CD11c+ cells (MACS, Miltenyi) according to the manufacturer’s instructions. RNA from CD11c+ cells was isolated using TRIzol (Thermo Fisher Scientific) following the manufacturer’s instructions. RNA seq was performed by BGI Genomics (Hong Kong). The number of aligned reads in the bam files provided by BGI were counted using feature count in the subread package (v. 1.5.3) and the reference genome Gencode GRCm38 (v.M15). All subsequent analysis was conducted in R (v. 3.6.1). After normalization (TMM: trimmed mean of M values), a differential gene expression analysis was performed using edgeR (v. 3.18.1). Significant differently expressed genes (DEGs) were distinguished by a false discovery rate (FDR) under 0.05. Gene ontology analysis was performed with clusterProfiler (v. 3.12.0) and org.Mm.eg.db (v. 3.8.2). In addition, the following dependent package versions were installed: DOSE (v. 3.10.2), AnnotationDbi (v. 1.46.1), IRanges (v. 2.18.3), S4Vectors (v. 0.22.1), BiocGenerics (v. 0.30.0), and Biobase (v. 2.44.0). Results were visualized using ggplot2 (v. 3.2.1).
Flow cytometry analysis
For lectin staining, the cells were first washed with 1 × carbo-free blocking solution. Next, the cells were incubated for 45 min at 4 °C with biotinylated MALII (5 µg/ml), SNA-I (1 µg/ml), or PNA (5 µg/ml) in 1 × carbo-free blocking solution supplemented with 1 mM MgCl2 and 1 mM CaCl2 (both from Merck). After incubation, the cells were washed with PBA (1 × PBS, 1% bovine serum albumin, 0.02% sodium azide), and incubated with Streptavidin-PE for 20 min at 4 °C. For antibody staining, the cells are harvested, washed in 1 × PBS and stained with eFluor 780 or 450 viability dye according to the manufacturer’s instructions. Fc receptors were blocked with anti-CD16/CD32 (2.4G2, BD) in PBA for 10 min at 4 °C. Afterwards, the cells were stained with fluorescent antibodies in PBA at 4 °C for 20 min, and washed three times with PBA. Samples were acquired with a CytoFLEX LX Flow Cytometer (Beckman Coulter), BD FACSVerse™ flow cytometer (BD Bioscience), Gallios (Beckman Coulter) or FACS Cyan (Beckman Coulter), respectively. Data analysis was performed using FlowJo software (Tree Star, Ashland, OR, USA).
OT-I proliferation assay
BMDCs generated in the presence or absence of Ac53FaxNeu5Ac (250 µM) were washed in 1 × PBS and pulsed with OVA protein (Endograde, Hyglos GmbH, Germany) for 3 h or OVA H-2 Kb peptide (257–264, AS-60193, Tebu-bio) for 1 h at 37 °C. After the incubation, the BMDCs were washed three times, and 50.000 cells were seeded per well into a round bottom plate in culture medium. The CD8+ OT-I T cells were labeled with 3 µM CFSE according to the manufacturer’s instructions. 50.000 CFSE-labeled CD8+ OT-I T cells were added to the BMDCs (1:1 ratio) in culture medium. The co-cultures were incubated for 3 days at 37 °C in the presence of 0 or 10 ng/ml IL-2. After 3 days, the cells were analyzed by flow cytometry. Interferon gamma (IFNγ) levels in the supernatants were analyzed using an IFNγ ELISA (Thermo Fisher Scientific) following the manufacturer’s protocol.
OVA uptake and degradation assay
Control and Ac53FaxNeu5Ac (250 µM) treated BMDCs were washed with 1 × PBS and seeded into round bottom plates at a density of 2*105 cells/well in culture medium. The BMDCs were pulsed with 100 ng/ml Alexa Fluor 647-OVA to follow uptake or 1 µg/ml DQ-OVA to follow degradation (both from Thermo Fisher Scientific), respectively, washed and cultured at 37 °C. At different timepoints, the cells were washed three times and the fluorescence was determined by flow cytometry.
BMDC:OT-I T cell clustering assay
Control and Ac53FaxNeu5Ac (250 µM) treated BMDCs were labeled with 12 µM CellTrace Violet dye (Thermo Fisher Scientific) according to the manufacturer’s instructions. Afterwards, the BMDCs were pulsed with 0 or 1 ng/ml OVA peptide for 1 h at 37 °C. The isolated CD8+ OT-I T cells were labeled with 1 µM CFSE according to the manufacturer’s instructions. In total 50.000 BMDCs and 50.000 OT-I T cells were co-cultured in Falcon round-bottom polystyrene test tubes for 45 min at 37 °C. The cells were fixed with 2% PFA for 10 min at RT and subsequently analyzed using a CytoFlex LX flow cytometer.
Cell avidity analysis
Cell–cell interaction strength between BMDCs and CD8+ T cells was analyzed using a z-Movi® Cell Avidity Analyzer (LUMICKS, Amsterdam, The Netherlands). BMDCs were allowed to adhere to a microfluidic z-Movi chip (LUMICKS) for 30 min after which CD8+ T cells were added and co-incubated with the BMDCs for indicated time-periods, before assessing cell avidity using acoustic force. Briefly, the chips were coated with poly-L-lysine (Sigma-Aldrich) for 10 min and air-dried for 60 min at 37 °C. Control and Ac53FaxNeu5Ac treated BMDCs were pulsed with 1 ng/ml OVA H-2 Kb peptide, 1 ng/ml irrelevant murine HPV peptide (RAHYNIVTF, kindly gifted by Thorbald van Hall, Leiden University Medical Center, The Netherlands) or medium for 1 h at 37 °C. After washing thoroughly, 3–5*106 BMDCs were flushed into the poly-L-lysine coated chip and incubated for 30 min at 37 °C. The chips were placed onto the z-Movi Cell Avidity Analyzer, where experiments were performed at 37 °C. To ensure attachment of the BMDC monolayer to the surface of the chip, an initial constant force of 1000 pN (as calibrated on 10 μm polystyrene beads) was applied. CD8+ OT-I T cells were fluorescently labeled with CellTrace Far Red dye (Thermo Fisher Scientific) according to manufacturer’s protocol and 1–3*105 cells were flushed into the z-Movi Chip. CD8+ T cells were allowed to interact with the BMDC monolayer for indicated time-periods. Subsequently, a linear force ramp was applied from 0 to 1500 pN (as calibrated for 10 μm polystyrene beads) for 3 min 45 s (6.7 pN/s). Avidity runs were analyzed using Oceon Software (LUMICKS).
Statistical analysis
Statistical significance was calculated by performing a t test or a one-way analysis of variance (ANOVA) followed by Bonferroni’s correction using Prism 8 software (GraphPad, Inc., La Jolla, CA). P values < 0.05 were considered significant. Significance is shown as: ns. > 0.05, *P < 0.05, **P < 0.01, ***P < 0.001.
Results
Ac53FaxNeu5Ac inhibits sialic acid expression in BMDCs without affecting differentiation and viability
Previously, we have shown that sialic acid blockade with a fluorinated sialic acid mimetic Ac53FaxNeu5Ac lowers the threshold of human moDCs for TLR-mediated activation [20]. Here, we investigated the potency of this sialic acid mimetic to block sialylation of murine BMDCs. At the start of the differentiation (day 0), concentrations ranging from 0 to 500 µM Ac53FaxNeu5Ac were added to the GM-CSF BMDC cultures. On day 3 and 6 of the culture Ac53FaxNeu5Ac was replenished (Fig. 1A). After 7 days of culture, the expression of sialic acids and uncapped β-galactose, was measured via flow cytometry using the lectins MALII (α2-3-linked sialic acid), SNA-I (α2-6-linked sialic acid) and PNA (β-galactose, T antigen), respectively (Fig. 1B). Sialylation of differentiated BMDCs was reduced in a dose-dependent manner without affecting viability (Fig. 1C) or the percentage of CD11c+ cells (Fig. 1D). GM-CSF BMDC cultures consist of two distinct DC subsets that are readily distinguished by their MHC-II and CD11b expression [24]. Sialic acid blockade had no effect on the ratio of these CD11bhiMHC-IIlo and CD11bintMHC-IIhi BMDC subsets (Fig. 1E). Notably, metabolic sialic acid blockade with Ac53FaxNeu5Ac reduced surface sialic acid levels to a similar extent as enzymatic removal with bacterial sialidase (Figure S1A, B). More importantly, the treatment with Ac53FaxNeu5Ac reduced sialylation for at least 3 days following removal from the culture medium, whereas desialylation with sialidase was only short-lived (< 24 h) (Figure S1C). These data demonstrate that sialic acid blockade with Ac53FaxNeu5Ac is effective and long-lasting in BMDCs without affecting cell viability or differentiation.
Sialic acid blockade enhances TLR-induced BMDC maturation
To investigate whether sialic acid blockade with Ac53FaxNeu5Ac affects DC maturation, BMDCs were stimulated with the TLR agonists CpG (TLR9 agonist) and LPS (TLR4 agonist), or left untreated (DMSO) as control. BMDC cultures with blocked sialylation contained increased numbers of CD80+ cells after CpG and LPS stimulation compared with control sialylated BMDCs (Fig. 2A, B). Of note, a slightly higher number of CD80+ cells, but not CD86+ cells, was also present in Ac53FaxNeu5Ac cultures without TLR stimulation. We have previously shown that the sialic acid mimetic is produced endotoxin-free, suggesting that desialylation alone induces BMDC maturation to a minor degree [20]. Expression of the DC maturation marker CD86 was moderately increased after LPS treatment in Ac53FaxNeu5Ac-treated BMDCs compared to control treated BMDCs (Fig. 2C). Expression of the immune checkpoint inhibitor ligand PD-L1 was upregulated upon LPS and CpG stimulation, but no significant difference was found between control and Ac53FaxNeu5Ac treatment (Fig. 2D). In addition, no significant difference in cytokine production (IL-6, IL-12p70, TNFα, IL-10, and IL-1β) was observed between control and Ac53FaxNeu5Ac-treated BMDCs upon TLR stimulation (data not shown). Altogether, Ac53FaxNeu5Ac treatment during BMDC differentiation resulted in a moderately increased maturation by TLR ligands.
Ac53FaxNeu5Ac treatment enhances the capacity of BMDCs to activate CD8+ OT-I T cells
DCs are critical for CD8+ T cell priming and activation [25]. The long-lived reduction of sialic acids after Ac53FaxNeu5Ac treatment in BMDCs allowed to investigate the role of sialic acids in this process in more detail. To this end, control and Ac53FaxNeu5Ac treated BMDCs were pulsed with different OVA protein concentrations and co-cultured for 72 h with purified CFSE-labeled CD8+ OT-I T cells. Numbers of proliferating CD8+ OT-I T cells were quantified by flow cytometry. We observed higher OVA-dependent proliferation rates in co-cultures with Ac53FaxNeu5Ac treated BMDCs compared with control BMDCs (Fig. 3A, B). Addition of IL-2 enhanced overall OVA-specific CD8+ OT-I T cell proliferation, but the higher proliferation rate in co-cultures with Ac53FaxNeu5Ac-treated BMDCs remained (Fig. 3A, B). In line with the increased CD8+ OT-I T cell proliferation, IFNy levels were higher in the co-culture supernatants of BMDCs with sialic acid blockade compared to control (Fig. 3C). In agreement with these observations, sialic acid blockade also enhanced CD8+ OT-I T cell proliferation when BMDCs were externally loaded with the OVA H-2 Kb-binding peptide SIINFEKL (Figure S2). These findings strongly suggest that blocking sialylation improves the capacity of BMDCs to activate CD8+ T cells.
To assess whether this effect was caused by changes in OVA antigen presentation by BMDCs upon Ac53FaxNeu5Ac treatment, we measured OVA uptake and processing using Alexa Fluor 647-OVA (uptake) and DQ-OVA (processing), respectively. No significant difference in uptake and processing of OVA protein was detected between control and Ac53FaxNeu5Ac treated BMDCs (Fig. 3D, E). These findings combined with the enhanced OT-I proliferation upon external OVA peptide loading indicate that the increase in T cell activation is not simply explained by alterations in OVA antigen uptake and processing. Notably, we observed that BMDCs differentiated in the presence of Ac53FaxNeu5Ac expressed higher MHC-I levels at the cell surface compared to control BMDCs (Figure S3). Enhanced MHC-I expression was, however, also detected after short treatment with sialidase, which indicates that antibody binding to MHC-I molecules is hindered by sialic acids. Desialylation thus may improve accessibility of MHC-I and other cell surface molecules rather than solely upregulating their expression.
Sialic acid blockade affects genes involved in cell–cell interactions
Loss of sialic acids can affect interactions and functions of glycoproteins and glycolipids including that of glycosylated surface receptors. As a result, signaling events and gene expression may change. To reveal signaling pathways and cellular functions altered upon sialic acid blockade that might underly the mechanisms of the increased T cell activating capacity of BMDCs following sialic acid blockade, RNA seq and subsequent Gene Ontology (GO) analysis was performed. Comparative analysis between control and Ac53FaxNeu5Ac treated BMDCs revealed > 2500 differentially expressed genes (FDR < 0.5) (Fig. 4A). The full list of differentially expressed genes (DEGs) is provided in appendix 1 in supplementary material. Several genes involved in T cell co-stimulation such as the DC maturation markers CD40, CD80, CD86, as well as MHC-I genes (H2-D1/K1) were higher expressed in Ac53FaxNeu5Ac treated BMDCs compared to control (Fig. 4B). The genes encoding the cytokines IL-1 beta, IL-6, and tumor necrosis factor (TNF) were not significantly up-/down-regulated in either treatment which is in line with our data on cytokine production. GO enrichment analysis was performed on the top 250 up/down-regulated set of DEGs (Fig. 4C, D). The Molecular Functions GO pathway analysis indicated that Ac53FaxNeu5Ac treatment affects genes involved in cellular interactions and adhesion (GO groups: actin binding, carbohydrate binding, cell adhesion molecule binding, actin filament binding, integrin binding, monosaccharide binding and L-ascorbic acid binding) (Fig. 4C). This is in line with the simplified Biological Processes GO analysis that yielded altered adhesion as first term (GO group: cell-substrate adhesion) (Fig. 4D). The lists of GO results can be found in appendix 2 in supplementary material. Overall, the RNA seq analysis supports our finding that sialic acid blockade increases the ability of BMDCs to co-stimulate T cells, but also predicts that BMDC adhesion and cell interaction events may be involved in potentiating T cells.
Sialic acid blockade facilitates BMDCs-CD8+ OT I T cell clustering
Prompted by the GO analysis, we further explored the effects of sialic acid blockade on BMDC-CD8+ T cell interactions. Ac53FaxNeu5Ac and control treated BMDCs were pulsed with OVA peptide (SIINFEKL) or medium and labeled with CellTrace violet dye. The BMDCs were than co-incubated for 45 min at 37 °C with CFSE-labeled CD8+ OT-I T cells at a 1:1 ratio and cluster formation was analyzed by flow cytometry. In the control samples with sialylated BMDCs and no OVA peptide, about 1.5% of the cells formed clusters (Fig. 5). Ac53FaxNeu5Ac treatment significantly increased cluster formation to > 5%, suggesting that antigen-independent DC–T cell interactions are hampered by sialic acid present on BMDCs. As expected, clustering was enhanced following loading of DCs with the nominal OVA epitope. OVA peptide loaded Ac53FaxNeu5Ac-treated BMDCs, however, clustered more effectively with OT-I T cells as compared to control BMDCs (Fig. 5). These findings strongly indicate that sialic acid blockade facilitates antigen-independent and antigen-dependent interactions between BMDCs and CD8+ OT-I T cells.
Ac53FaxNeu5Ac treated BMDCs have a higher binding avidity to CD8+ OT I T cells
Next, we measured the binding avidity between BMDCs and CD8+ OT-I T cells at the single cell level using the z-Movi Cell Avidity Analyzer (Figure S4) [26–28]. BMDCs were adhered to microfluidic z-Movi chips and subsequently incubated with CD8+ OT-I T cells. The CD8+ OT-I T cells were allowed to interact with the adherent BMDCs for a selected time period, after which a linear force ramp from 0 to 1500 pN was applied. We first compared the avidity curves of Ac53FaxNeu5Ac and control treated BMDCs that interacted with CD8+ OT-I T cells for 5 or 10 min in the absence of antigens. After 5 min, BMDC–T cell binding was disrupted at a similar force for control and Ac53FaxNeu5Ac treated BMDCs (Fig. 6A). The interactions with T cells formed in 10 min were significantly stronger for BMDCs without sialic acids compared to control BMDCs (Fig. 6B). Most of the control treated BMDCs lost their interaction to the CD8+ OT-I T cells below a force of 100 pN, while higher forces were required to break the interactions with Ac53FaxNeu5Ac treated BMDCs. To address the antigen-specific interactions, BMDCs were pulsed with OVA peptide or irrelevant HPV control peptide and allowed to form interactions with CD8+ OT-I T cells for 5 min. The binding avidity was significantly higher for OVA-pulsed Ac53FaxNeu5Ac BMDCs compared with control BMDCs (Fig. 6C). This effect was antigen-specific, because no significant changes were observed with HPV peptide pulsed BMDCs after 5 min (Fig. 6D). These findings demonstrate that Ac53FaxNeu5Ac treated BMDCs form higher avidity interactions with CD8+ OT-I T cells that are formed rapidly in the presence of antigen in the MHC-I context, and slower in the absence of antigens.
Discussion
In this study, we have applied a fluorinated sialic acid mimetic, Ac53FaxNeu5Ac, to generate BMDC cultures with effective and long-lived blockade of sialic acid expression that enabled studies into the broader role of sialic acids in DC–CD8+ T cell interactions. Addition of Ac53FaxNeu5Ac during the 7-day differentiation phase of BMDCs largely prevented incorporation of sialic acids into cell surface glycans. Importantly, sialic acid blockade had no significant effects on the viability and differentiation process of BMDCs and was long-lived after removal of the mimetic from the culture. The maturation with TLR ligands was slightly improved in BMDCs generated in the presence of Ac53FaxNeu5Ac and sialic acid blockade markedly facilitated activation and proliferation of OVA-specific OT-I CD8+ T cells. The treatment with sialic acid mimetic resulted in altered expression of genes involved in biological and molecular pathways related to T cell activation and cellular interactions. Subsequent functional analysis demonstrated that the absence of sialic acids from glycans increases antigen-specific and non-specific conjugate formation between BMDCs and OT-I CD8+ T cells. The sialic acid blockade approach reported here is a powerful tool to unravel the role of sialic acids in DC biology and revealed that sialic acid sugars can be modulated to enhance T cell activation and proliferation.
Research into the role of sialic acids in DC biology has mainly been performed with bacterial sialidases that hydrolyze the bond between sialic acids and glycans. These studies generally showed enhanced maturation of murine and human DCs following sialidase treatment and suggested that sialic acids negatively influence T cell activation [14–16, 29–33]. Our findings support these studies and provide a metabolic route for efficient removal of surface sialic acids. Treatment with bacterial sialidases is fast; however, it has several disadvantages that can be overcome with sialic acid mimetics. First, bacterial sialidases are mainly produced in bacterial expression systems and preparations contain endotoxins making them unsuitable for immunological assays [14, 30]. However, human sialidase produced by human cells can overcome this limitation. Second, sialidases may stay bound to the cells after hydrolysis and sterically hinder glycan recognition or could influence other interactions [3, 34–36]. Finally, the effect of sialidase removal of surface sialic acids is short-lived, and in BMDCs and other cells sialylation recovers within 24 h which limits long-term culture experiments [37, 38]. Metabolic inhibition with chemically pure sialic acid mimetics such as Ac53FaxNeu5Ac overcomes these limitations and allows long-lived inhibition of sialylation murine BMDCs and as previously demonstrated also in human moDCs [20]. Ac53FaxNeu5Ac, however, should be used with caution as systemic administration in large concentrations (300 mg/kg) is relatively toxic [39]. Intratumoral Ac53FaxNeu5Ac injections with a lower dose was found to be effective in mice without causing renal toxicity [22]. Our group has also encapsulated Ac53FaxNeu5Ac into nanoparticles coated with tumor targeting antibodies to specifically and safely target the sialic acid mimetic to circulating cancer cells preventing metastases [23]. Sialidases are found to be less toxic, due to the short-lived desialylation [40]. To further limit toxicity and increase its efficacy, also sialidases have been targeted to tumors by coupling it to HER2 targeting antibodies [41–43]. Overall, the sialic acid mimetic Ac53FaxNeu5Ac allows for global discovery of the wide functions of sialic acids in DC biology and other (immune)cells. More refined knock-out of individual sialyltransferase isoenzymes and/or sialoglycoproteins, can subsequently be performed to attribute specific functions to particular sialic acid linkages, glycoconjugates, and glycoproteins.
We have previously reported that Ac53FaxNeu5Ac treatment enhances maturation of human DCs with TLR ligands, and accordingly other groups have reported similar findings for human and mouse DCs after bacterial sialidase treatment [15, 20, 29–32]. Here we extend these data to murine BMDCs and show that sialic acid removal also increased their sensitivity to TLR stimulation. Collectively, these findings suggest that sialic acids are generally negative regulators of DC maturation in humans and mice, particularly by limiting (TLR-mediated) activation. How sialic acids regulate DC maturation remains to be determined. Possibly, the negative charge of sialic acids influences interactions between TLRs and their ligands, and furthermore, there is evidence that TLRs carry sialic acids themselves that directly regulate their signaling [32, 44–46]. Sialoglycans form the ligands for immunomodulatory Siglec receptors and the majority of these receptors can mediate immune inhibitory signals [7–9, 12]. DCs express several Siglec family members and we have previously suggested that sialoglycans on the surface interact with inhibitory Siglecs via cis-interactions which could regulate DC activation and functions [20]. Loss of cis-interactions through removal of Siglec ligands by Ac53FaxNeu5Ac could aid in the enhanced DC activation that we observe after TLR stimulation. Our in vitro generated BMDCs; however, lack expression of Siglec-E and only a minority of the cells express Siglec-G and -F (data not shown), which makes loss of cis-interactions less likely to explain the effects of Ac53FaxNeu5Ac treatment on murine BMDC activation and subsequent T cell activation.
BMDCs cultured with Ac53FaxNeu5Ac induced stronger CD8+ T cell proliferation compared to sialylated BMDCs, similar to results obtained by others using sialidases [15, 16, 33]. Potentially, this is a result of enhanced DC activation but our data indicate that this also occurs in the absence of exogenously added maturation stimuli or TLR ligands. Our findings now provide evidence that intensified formation of high-avidity interactions between BMDCs and CD8+ T cells contributes to the enhanced T cell activation. Importantly, we observed no differences in antigen uptake and processing in BMDCs generated with or without sialic acids. Others have found that sialidase treatment of moDCs or BMDCs derived from sialyltransferase knockout mice (St3gal1−/− and St6gal1−/−) rather show decreased OVA uptake [14, 47]. This indicates that the observed enhanced DC–T cell interactions are not simply the result of altered antigen processing. There is some evidence that sialic acids may regulate stability of MHC-I complexes on DCs [19]. Accordingly, we have observed increased exposure of MHC-I molecules on DCs after sialidase and mimetic treatment. Increased MHC-I exposure alone, however, is unlikely to fully account for the increased DC–T cell interactions and high-avidity binding upon desialylation. The finding that DC–T cell clustering is enhanced even in the absence of the cognate peptides also supports this notion. More likely, we propose that sialic acids negatively influence multiple interactions between DCs and CD8+ T cells and that their global removal by sialic blockade allows for enhanced CD8+ T activation. This is supported by our RNA seq analysis showing that BMDCs generated without sialic acids have differential gene expression enriched for T cell activation and cellular interactions. Moreover, our functional data show enhanced cluster formation of BMDCs without sialic acids with OT-I CD8+ T cells in the presence and even absence of cognate antigen.
The significantly increased DC–T cell interactions could be the result of altering the negative charge at the cell surface, removal of steric hindrance formed by sialic acids, and/or generation of (specific) interaction sites for example between uncapped galactose residues that could interact with galectins on the T cells [3]. In line with our findings, it has recently been reported that BMDCs with reduced sialylation (sialidase, Ac53FaxNeu5Ac) induce robust CD8+ and CD4+ T cell proliferation [33]. It was proposed that this effect was due to competitive binding of cis and trans sialoglycans and CD80 to the co-stimulatory T cell receptor CD28. Potentially, the increased avidity that we observed between Ac53FaxNeu5Ac-treated BMDCs and OT-I CD8+ T cells could, at least partly, be explained by the removal of competing sialoglycan ligands for CD28 and enhanced interactions with CD80. Siglecs on T cells recognizing sialoglycans are other candidate receptors that could potentially be involved in the enhanced interactions. While naive murine T cells do not express Siglecs, Siglec-E can be upregulated under pathological conditions as it has been found on CD8+ tumor infiltrating lymphocytes [48]. In our model system, no expression of Siglecs has been found on the naïve and activated CD8+ OT-I T cells [22]. This makes abolished trans binding of T cell Siglecs to sialic acids on BMDCs in our model system an unlikely mechanism behind the increased T cell proliferation.
Interestingly, we have previously observed that intratumoral injections with Ac53FaxNeu5Ac into subcutaneous melanoma increased DC maturation and CD8+ T cell responses [22]. This result may now be explained by the identified enhanced avidity of DCs–T cell interactions and suggests that sialic acid blockade could be applied to obtain robust CD8+ T cell responses in vivo. Future experiments will have to clarify the effects on CD8+ T cells in terms of immunity and autoimmunity. Concluding, our data show that the sialic acid mimetic Ac53FaxNeu5Ac is a useful tool to potentiate the capacity of BMDCs to induce CD8+ T cell proliferation. Moreover, this is the first report showing that sialic acid blockade increases BMDC binding avidity to CD8+ T cells in an antigen-dependent and antigen-independent manner. The enhanced capability of desialylated DCs to cluster and activate antigen specific CD8+ T cells may be exploited in immunotherapy of cancer and infectious disease.
Supplementary Information
Below is the link to the electronic supplementary material.
Author contributions
NB, LAMC, GJA and CB designed the research studies; NB, LAMC, CB, MW, YEB, KKD and JNS conducted experiments and/or analyzed data; SJM and TJB provided Ac53FaxNeu5Ac; NB, LAMC, GJA and CB wrote the manuscript. All authors corrected the manuscript and approved the final version.
Funding
This work was funded by a KWF grant (KUN2015-7604) awarded to G.J Adema, T.J. Boltje and C. Büll, an ERC-Stg (GlycoEdit, 758913) awarded to T.J.Boltje and a Marie Skłodowska-Curie Innovative Training Network (ITN-ETN 641549) awarded to G.J. Adema.
Data availability
The RNA seq generated during the current study are available in the ArrayExpress repository, under accession number: E-MTAB-XXXX (reviewer link: http://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-XXX, username: Reviewer_E-MTAB-XXXX, password: santa). All scripts used for bioinformatics analysis are available on Github: XXX. Other data generated and analyzed during this study are included in this published article and its supplementary information files.
Code availability
Not applicable.
Declarations
Conflict of interest
The authors declare no conflict of interest.
Ethics approval
The animals were housed at the Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands. All animal experiments were authorized by the Dutch Central Authority for Scientific Procedures on Animals (CCD) and carried out in accordance with their guidelines.
Consent to participate
Not applicable.
Consent to publish
Not applicable.
Footnotes
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
N. Balneger, L. A. M. Cornelissen contributed equally.
References
- 1.Baum LG, Cobb BA. The direct and indirect effects of glycans on immune function. Glycobiology. 2017;27:619–624. doi: 10.1093/glycob/cwx036. [DOI] [PubMed] [Google Scholar]
- 2.Marth JD, Grewal PK. Mammalian glycosylation in immunity. Nat Rev Immunol. 2008;8:874–887. doi: 10.1038/nri2417. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Varki A, Gagneux P. Multifarious roles of sialic acids in immunity. Ann N Y Acad Sci. 2012;1253:16–36. doi: 10.1111/j.1749-6632.2012.06517.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Varki A, Schnaar RL, Schauer R. Sialic acids and other nonulosonic acids. New York: Cold Spring Harbor Laboratory Press; 2015. [PubMed] [Google Scholar]
- 5.Schjoldager KT, Narimatsu Y, Joshi HJ, Clausen H. Global view of human protein glycosylation pathways and functions. Nat Rev Mol Cell Biol. 2020;21:729–749. doi: 10.1038/s41580-020-00294-x. [DOI] [PubMed] [Google Scholar]
- 6.Johannssen T, Hütter J, Zimmermann S, Lepenies B (2015) C-Type Lectins. In: Glycoscience: Biology and Medicine. Springer Japan, Tokyo, pp 675–683
- 7.Duan S, Paulson JC (2020) Siglecs as Immune Cell Checkpoints in Disease. 38:365–395 [DOI] [PubMed]
- 8.MacAuley MS, Crocker PR, Paulson JC. Siglec-mediated regulation of immune cell function in disease. Nat Rev Immunol. 2014;14:653–666. doi: 10.1038/nri3737. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Büll C, Heise T, Adema GJ, Boltje TJ. Sialic Acid Mimetics to Target the Sialic Acid-Siglec Axis. Trends Biochem Sci. 2016;41:519–531. doi: 10.1016/j.tibs.2016.03.007. [DOI] [PubMed] [Google Scholar]
- 10.Büll C, Nason R, Sun L, et al. Probing the binding specificities of human Siglecs by cell-based glycan arrays. Proc Natl Acad Sci. 2021;118:e2026102118. doi: 10.1073/pnas.2026102118. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Läubli H, Varki A. Sialic acid–binding immunoglobulin-like lectins (Siglecs) detect self-associated molecular patterns to regulate immune responses. Cell Mol Life Sci. 2020;77:593–605. doi: 10.1007/s00018-019-03288-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Lübbers J, Rodríguez E, van Kooyk Y. Modulation of immune tolerance via siglec-sialic acid interactions. Front Immunol. 2018;9:2807. doi: 10.3389/fimmu.2018.02807. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Crespo HJ, Lau JTY, Videira PA. Dendritic cells: a spot on sialic acid. Front Immunol. 2013;4:1–15. doi: 10.3389/fimmu.2013.00491. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Crespo HJ, Guadalupe Cabral M, Teixeira AV, et al. Effect of sialic acid loss on dendritic cell maturation. Immunology. 2009;128:e621. doi: 10.1111/j.1365-2567.2009.03047.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Silva M, Silva Z, Marques G, et al. Sialic acid removal from dendritic cells improves antigen cross-presentation and boosts anti-tumor immune responses. Oncotarget. 2016;7:41053–41066. doi: 10.18632/oncotarget.9419. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Cabral MG, Silva Z, Ligeiro D, et al. The phagocytic capacity and immunological potency of human dendritic cells is improved by α2,6-sialic acid deficiency. Immunology. 2013;138:235–245. doi: 10.1111/imm.12025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Kiermaier E, Moussion C, Veldkamp CT, et al. Polysialylation controls dendritic cell trafficking by regulating chemokine recognition. Science (80-) 2016;351:186–190. doi: 10.1126/science.aad0512. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Bax M, van Vliet SJ, Litjens M, et al. Interaction of polysialic acid with CCL21 regulates the migratory capacity of human dendritic cells. PLoS ONE. 2009;4:6987. doi: 10.1371/journal.pone.0006987. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Silva Z, Ferro T, Almeida D, et al. MHC Class I stability is modulated by cell surface sialylation in human dendritic cells. Pharmaceutics. 2020;12:249. doi: 10.3390/pharmaceutics12030249. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Büll C, Collado-Camps E, Kers-Rebel ED, et al. Metabolic sialic acid blockade lowers the activation threshold of moDCs for TLR stimulation. Immunol Cell Biol. 2017;95:408–415. doi: 10.1038/icb.2016.105. [DOI] [PubMed] [Google Scholar]
- 21.Rillahan CD, Antonopoulos A, Lefort CT, et al. Global metabolic inhibitors of sialyl- and fucosyltransferases remodel the glycome. Nat Chem Biol. 2012;8:661–668. doi: 10.1038/nchembio.999. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Büll C, Boltje TJ, Balneger N, et al. Sialic acid blockade suppresses tumor growth by enhancing T cell-mediated tumor immunity. Cancer Res. 2018 doi: 10.1158/0008-5472.CAN-17-3376. [DOI] [PubMed] [Google Scholar]
- 23.Büll C, Boltje TJ, Van Dinther EAW, et al. Targeted delivery of a sialic acid-blocking glycomimetic to cancer cells inhibits metastatic spread. ACS Nano. 2015;9:733–745. doi: 10.1021/nn5061964. [DOI] [PubMed] [Google Scholar]
- 24.Helft J, Böttcher J, Chakravarty P, et al. GM-CSF mouse bone marrow cultures comprise a heterogeneous population of CD11c+MHCII+ macrophages and dendritic cells. Immunity. 2015;42:1197–1211. doi: 10.1016/j.immuni.2015.05.018. [DOI] [PubMed] [Google Scholar]
- 25.Palucka K, Banchereau J. Cancer immunotherapy via dendritic cells. Nat Rev Cancer. 2012;12:265–277. doi: 10.1038/nrc3258. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Sitters G, Kamsma D, Thalhammer G, et al. Acoustic force spectroscopy. Nat Methods. 2015;12:47–50. doi: 10.1038/nmeth.3183. [DOI] [PubMed] [Google Scholar]
- 27.Bunse L, Green EW, Platten M (2019) High-throughput discovery of cancer-targeting TCRs. In: Methods in Enzymology. pp 401–417 [DOI] [PubMed]
- 28.Kamsma D, Bochet P, Oswald F, et al. Single-cell acoustic force spectroscopy: resolving kinetics and strength of T cell adhesion to fibronectin. Cell Rep. 2018;24:3008–3016. doi: 10.1016/j.celrep.2018.08.034. [DOI] [PubMed] [Google Scholar]
- 29.Stamatos NM, Carubelli I, van de Vlekkert D, et al. LPS-induced cytokine production in human dendritic cells is regulated by sialidase activity. J Leukoc Biol. 2010;88:1227–1239. doi: 10.1189/jlb.1209776. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Stamatos NM, Curreli S, Zella D, Cross AS. Desialylation of glycoconjugates on the surface of monocytes activates the extracellular signal-related kinases ERK 1/2 and results in enhanced production of specific cytokines. J Leukoc Biol. 2004;75:307–313. doi: 10.1189/jlb.0503241. [DOI] [PubMed] [Google Scholar]
- 31.Feng C, Stamatos NM, Dragan AI, et al. Sialyl residues modulate LPS-mediated signaling through the toll-like receptor 4 complex. PLoS ONE. 2012 doi: 10.1371/journal.pone.0032359. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Feng C, Zhang L, Nguyen C, et al. Neuraminidase reprograms lung tissue and potentiates lipopolysaccharide-induced acute lung injury in mice. J Immunol. 2013;191:4828–4837. doi: 10.4049/jimmunol.1202673. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Edgar LJ, Thompson AJ, Vartabedian VF, et al. Sialic acid ligands of CD28 suppress costimulation of T cells. ACS Cent Sci. 2021;7:1508–1515. doi: 10.1021/acscentsci.1c00525. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Sedlacek HH, Seiler FR. Immunotherapy of neoplastic diseases with neuraminidase: contradictions, new aspects, and revised concepts. Cancer Immunol Immunother. 1978;5:153–163. doi: 10.1007/BF00199623. [DOI] [Google Scholar]
- 35.Moustafa I, Connaris H, Taylor M, et al. Sialic acid recognition by Vibrio cholerae neuraminidase. J Biol Chem. 2004 doi: 10.1074/jbc.M404965200. [DOI] [PubMed] [Google Scholar]
- 36.Petitou M, Rosenfeld C, Sinay P. A new assay for cell-bound neuraminidase. Cancer Immunol Immunother. 1977;2:135–137. doi: 10.1007/BF00200059. [DOI] [Google Scholar]
- 37.Büll C, Boltje TJ, Wassink M, et al. Targeting aberrant sialylation in cancer cells using a fluorinated sialic acid analog impairs adhesion, migration, and in vivo tumor growth. Mol Cancer Ther. 2013;12:1935–1946. doi: 10.1158/1535-7163.MCT-13-0279. [DOI] [PubMed] [Google Scholar]
- 38.Cohen M, Elkabets M, Perlmutter M, et al. Sialylation of 3-methylcholanthrene–induced fibrosarcoma determines antitumor immune responses during immunoediting. J Immunol. 2010 doi: 10.4049/jimmunol.1001635. [DOI] [PubMed] [Google Scholar]
- 39.Macauley MS, Arlian BM, Rillahan CD, et al. Systemic blockade of sialylation in mice with a global inhibitor of sialyltransferases. J Biol Chem. 2014;289:35149–35158. doi: 10.1074/jbc.M114.606517. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Gelberg H, Healy L, Whiteley H, et al. In vivo enzymatic removal of alpha 2–>6-linked sialic acid from the glomerular filtration barrier results in podocyte charge alteration and glomerular injury. Lab Invest. 1996;74:907–920. [PubMed] [Google Scholar]
- 41.Xiao H, Woods EC, Vukojicic P, Bertozzi CR. Precision glycocalyx editing as a strategy for cancer immunotherapy. Proc Natl Acad Sci USA. 2016;113:10304–10309. doi: 10.1073/pnas.1608069113. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Gray MA, Stanczak MA, Mantuano NR, et al. Targeted glycan degradation potentiates the anticancer immune response in vivo. Nat Chem Biol. 2020;16:1376–1384. doi: 10.1038/s41589-020-0622-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Stanczak MA, Mantuano NR, Kirchhammer N, et al. Targeting cancer glycosylation repolarizes tumor-associated macrophages allowing effective immune checkpoint blockade. bioRxiv. 2021 doi: 10.1101/2021.04.11.439323. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Chen G-YY, Brown NK, Wu W, et al. Broad and direct interaction between TLR and Siglec families of pattern recognition receptors and its regulation by Neu1. Elife. 2014;3:e04066. doi: 10.7554/eLife.04066. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Abdulkhalek S, Amith SR, Franchuk SL, et al. Neu1 sialidase and matrix metalloproteinase-9 cross-talk is essential for toll-like receptor activation and cellular signaling. J Biol Chem. 2011;286:36532–36549. doi: 10.1074/jbc.M111.237578. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Amith SR, Jayanth P, Franchuk S, et al. Neu1 desialylation of sialyl α-2,3-linked β-galactosyl residues of TOLL-like receptor 4 is essential for receptor activation and cellular signaling. Cell Signal. 2010;22:314–324. doi: 10.1016/j.cellsig.2009.09.038. [DOI] [PubMed] [Google Scholar]
- 47.Videira PA, Amado IF, Crespo HJ, et al. Surface α2-3- and α2-6-sialylation of human monocytes and derived dendritic cells and its influence on endocytosis. Glycoconj J. 2008;25:259–268. doi: 10.1007/s10719-007-9092-6. [DOI] [PubMed] [Google Scholar]
- 48.Stanczak MA, Siddiqui SS, Trefny MP, et al. Self-associated molecular patterns mediate cancer immune evasion by engaging Siglecs on T cells. J Clin Invest. 2018;128:4912–4923. doi: 10.1172/JCI120612. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The RNA seq generated during the current study are available in the ArrayExpress repository, under accession number: E-MTAB-XXXX (reviewer link: http://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-XXX, username: Reviewer_E-MTAB-XXXX, password: santa). All scripts used for bioinformatics analysis are available on Github: XXX. Other data generated and analyzed during this study are included in this published article and its supplementary information files.
Not applicable.