Fig 1: SIGLEC7, SIGLEC9 and SIGLEC10-positive myeloid infiltration is increased in breast tumors and correlates with aggression. A. UMAP projection of immune cells from scRNAseq data of 34 breast tumors [20]. B. Dot plot of SIGLEC expression in immune cell clusters in breast tumors. C. Quantification of i. SIGLEC7, ii. SIGLEC9, and iii. SIGLEC10-positive inflammation as a percentage of total inflammation in normal breast and breast cancer subtypes. D. Quantification of myeloid infiltration as a percentage of total inflammation in normal breast and breast cancer subtypes. E. Heatmap showing the expression of gene signatures in RNAseq data from breast tumors from TCGA. Patients were ordered by the immunosuppressive Siglec signature.
Fig 2: Association of Siglec ligands with fibrosis. A. Representative images from a TN tumor of Siglec-7, Siglec-9, and Siglec-10 staining in low and high fibrosis regions. Scale bar is 100 μm. B. Quantification of median intensity within Siglec ligand-positive regions for Siglec-7-Fc, Siglec-9-Fc, and Siglec-10-Fc.
Fig 3: sia-rDer p 2 binds to Siglec-9 and/or Siglec-10 expressed on APCs. A, Schematic representation of the thiol-malemide reaction for the conjugation of α2-3 sialic acids to rDer p 2. B, Representative histograms showing the binding of rDer p 2 and sia-rDer p 2 on classical monocytes (CD14+CD16+), CD11c+ DCs, and B cells. C, The percentage of cells among monocytes, CD11c+ DCs, and B cells that bound polyacrylamide-α2-3 (positive control [PC]), rDer p 2, and sia-rDer p 2 (n = 3). Data are shown as mean ± SD. D, Representative histograms showing the expression of Siglec-9 on classical monocytes after incubation of cells with either rDer p 2 or sia-rDer p 2.
Fig 4: Differential binding to inhibitory lectins by bacteria associated with term and preterm birth.Bacteria (106 per well) were coated in 96-well plates and tested for their capacity to bind Siglec 9-Fc (a), Siglec 10-Fc (b) and DC-SIGN-Fc (c). Lje L. jensenii, Ljo L. johnsonii, Lv Limosilactobacillus vaginalis, Lg L. gasseri. Data are mean +/−SD (n = 3 biological replicates). One way ANOVA, Dunnett multiple comparison test against control (PBS) condition. *p < 0.05, **p < 0.01, ***p < 0.005, ****p < 0.001. Source data are provided as a Source Data file.
Fig 5: Design of DGlyTAC nbGFP-PNGF for protein-specific de-N-glycosylation on eGFP-CD24. Western blot analyzed the effect on the expression and glycosylation of eGFP-CD24 which overexpression on CHO cell lines after the treatment of different concentrations of PNGF (a), nbGFP-PNGF (b), and nbGFP-PNGF-E206K (c) for 2 h. (d) eGFP-CD24 was enriched by anti-eGFP beads and analyzed by immunoblotting to reveal protein levels (anti-GFP) and N-glycosylation level (ConA). CHO-CD24 whole cell lysate (WCL) was treated with 1 μM PNGF (as positive control, PC), PBS (as nagative control, NC), 0.05 nM PNGF, nbGFP-PNGF, and nbGFP-PNGF-E206K for 24 h, we proceeded with the labeling of N-glycans using ConA-Biotin. (e) Quantitation of N-glycosylation level on eGFP-CD24 calculated from (d). (The box and error bars represent the mean ± SEM. Independent experiment = 3, and a representative data was shown; ‘NS’ means not significant; ‘*’ means p < 0.05; ‘**’ means p < 0.01; ‘***’ means p < 0.001) (f, g) Change of eGFP-CD24 protein level via treatment from 5 nM PNGF and nbGFP-PNGF at different time points. h Immunoblotting of eGFP-CD24 resulted from cells exposed to low concentrations of nbGFP-PNGF for 24 h. i, k Treated CHO-CD24 with or without 50 µM sialyltransferase inhibitor P-3Fax-Neu5Ac (deleting sialic acids on CHO-CD24), then incubated with 5 nM PNGF and nbGFP-PNGF for 2 hours, and flow cytometry measuring Siglec-10 binding on the membrane of eGFP-CD24. j, l Quantitation of the CD24/Siglec-10 binding from i and k, respectively. The relative values are results divided by blank. (The box and error bars represent the mean ± SEM. Independent experiment = 3, and a representative data was shown; ‘NS’ means not significant; ‘*’ means p < 0.05; ‘**’ means p < 0.01; ‘***’ means p < 0.001) m, n Assessment about the contributions of sialyl modification and N/O-glycosylation on CD24/Siglec-10 interaction in the CHO-CD24 cells analyzed from (j, l)
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