nectin 2 Search Results


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Cell Signaling Technology Inc nectin2
The recruitment of LAMP3 + DCs by tumor cells promotes PTC clinical progression. Heatmaps (A) and circle (B) plots show the comparison of interaction quantity and interaction strength between thyrocytes and cDCs between non-progressive PTC and progressive PTC. Red indicated that the increase of communication in the latter. (C) The interaction between thyrocytes and cDCs is more numerous and stronger in Group B. (D) Summary of selected ligand-receptor interactions between thyrocytes and cDC-C3 cells in the two groups. (E) Circle plots showing the interaction between <t>NECTIN3-NECTIN2</t> ligand-receptor pairs in the cDCs and thyrocytes. (F) The expression level of S100A2 is positively correlated with LAMP3. (G) Representative immunofluorescence images illustrating the interaction between thyrocytes and cDC_C3 in two groups (A1 and B9). The small panels show the magnification of the selected region highlighted in red. Scale bars correspond to 50 µm in the large panel. (H) Schematic showing the crosstalk among thyrocytes, LAMP3 + DCs, CD8 + T cells, and Tregs involved in the recruitment of immune cells and the formation of an immunosuppressive microenvironment in the progressive PTC. cDC. conventional DC; DC, dendritic cell; CTLA-4, cytotoxic T-lymphocyte associated protein 4; ICAM, intercellular adhesion molecule 1; LAMP3, lysosomal associated membrane protein 3; PTC, papillary thyroid cancer; SPN, sialophorin; TME, tumor microenvironment; Treg, regulatory T cell.
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Proteintech anti nectin 2 antibody
The recruitment of LAMP3 + DCs by tumor cells promotes PTC clinical progression. Heatmaps (A) and circle (B) plots show the comparison of interaction quantity and interaction strength between thyrocytes and cDCs between non-progressive PTC and progressive PTC. Red indicated that the increase of communication in the latter. (C) The interaction between thyrocytes and cDCs is more numerous and stronger in Group B. (D) Summary of selected ligand-receptor interactions between thyrocytes and cDC-C3 cells in the two groups. (E) Circle plots showing the interaction between <t>NECTIN3-NECTIN2</t> ligand-receptor pairs in the cDCs and thyrocytes. (F) The expression level of S100A2 is positively correlated with LAMP3. (G) Representative immunofluorescence images illustrating the interaction between thyrocytes and cDC_C3 in two groups (A1 and B9). The small panels show the magnification of the selected region highlighted in red. Scale bars correspond to 50 µm in the large panel. (H) Schematic showing the crosstalk among thyrocytes, LAMP3 + DCs, CD8 + T cells, and Tregs involved in the recruitment of immune cells and the formation of an immunosuppressive microenvironment in the progressive PTC. cDC. conventional DC; DC, dendritic cell; CTLA-4, cytotoxic T-lymphocyte associated protein 4; ICAM, intercellular adhesion molecule 1; LAMP3, lysosomal associated membrane protein 3; PTC, papillary thyroid cancer; SPN, sialophorin; TME, tumor microenvironment; Treg, regulatory T cell.
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Santa Cruz Biotechnology pvrl2
Figure 2. Atherosclerotic lesion characterization of <t>Pvrl2−/−Ldlr−/−Apob100/100</t> mice and littermate controls. A, Percentage of lesion area quantified by Sudan IV staining of the total aorta (left), representative images of the total aortic tree (top right), and magnification of the aortic arch (bottom right) in 40-wk-old Pvrl2+/+Ldlr−/−Apob100/100 (n=8), Pvrl2+/−Ldlr−/−Apob100/100 (n=6) and Pvrl2−/−Ldlr−/−Apob100/100 (n=6) mice. B–E and H, Area percentage of the total aortic root cross section (left), and representative images for the correspondent immuno- histochemical staining in cryosections (right; Pvrl2+/+Ldlr−/−Apob100/100, n=5–8; Pvrl2−/−Ldlr−/−Apob100/100, n=5–8). B, Neutral lipids, quantified by Oil Red O (ORO) staining. C, Macrophage content, quantified by CD68 staining. D, Collagen, quantified by Masson Trichrome staining. E, Smooth muscle cell content, quantified as SM22α staining. F, Number of foam cell layers in the lesions, quantified as ORO-positive staining of hematoxylin-stained nucleated cells present in CD68-stained areas (left), and representative images (right). G, Proliferation, quantified by Ki67 nuclear staining and presented as percentage of the total nuclei (Pvrl2+/+Ldlr−/−Apob100/100, n=8; Pvrl2−/−Ldlr−/−Apob100/100, n=6). H, Apoptosis, quantified by Cleaved Caspase 3 staining. I, Plaque stability score, calculated as ([SM22α+collagen]/[ORO+CD68]) percent areas (Pvrl2+/+Ldlr−/−Apob100/100, n=8; Pvrl2−/−Ldlr−/−Apob100/100, n=6). *P<0.05. Statistical significance was analyzed by 1-way ANOVA with Tukey post hoc (A) and by Mann–Whitney U test (B–I). Mixed sex groups were used: males are represented by black squares (◼) and females by red circles (● ) in the dot plots. Data are presented as mean±SEM. Scale bar, 50 μm. PVRL2 indicates poliovi- rus receptor–related 2.
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Figure 2. Atherosclerotic lesion characterization of <t>Pvrl2−/−Ldlr−/−Apob100/100</t> mice and littermate controls. A, Percentage of lesion area quantified by Sudan IV staining of the total aorta (left), representative images of the total aortic tree (top right), and magnification of the aortic arch (bottom right) in 40-wk-old Pvrl2+/+Ldlr−/−Apob100/100 (n=8), Pvrl2+/−Ldlr−/−Apob100/100 (n=6) and Pvrl2−/−Ldlr−/−Apob100/100 (n=6) mice. B–E and H, Area percentage of the total aortic root cross section (left), and representative images for the correspondent immuno- histochemical staining in cryosections (right; Pvrl2+/+Ldlr−/−Apob100/100, n=5–8; Pvrl2−/−Ldlr−/−Apob100/100, n=5–8). B, Neutral lipids, quantified by Oil Red O (ORO) staining. C, Macrophage content, quantified by CD68 staining. D, Collagen, quantified by Masson Trichrome staining. E, Smooth muscle cell content, quantified as SM22α staining. F, Number of foam cell layers in the lesions, quantified as ORO-positive staining of hematoxylin-stained nucleated cells present in CD68-stained areas (left), and representative images (right). G, Proliferation, quantified by Ki67 nuclear staining and presented as percentage of the total nuclei (Pvrl2+/+Ldlr−/−Apob100/100, n=8; Pvrl2−/−Ldlr−/−Apob100/100, n=6). H, Apoptosis, quantified by Cleaved Caspase 3 staining. I, Plaque stability score, calculated as ([SM22α+collagen]/[ORO+CD68]) percent areas (Pvrl2+/+Ldlr−/−Apob100/100, n=8; Pvrl2−/−Ldlr−/−Apob100/100, n=6). *P<0.05. Statistical significance was analyzed by 1-way ANOVA with Tukey post hoc (A) and by Mann–Whitney U test (B–I). Mixed sex groups were used: males are represented by black squares (◼) and females by red circles (● ) in the dot plots. Data are presented as mean±SEM. Scale bar, 50 μm. PVRL2 indicates poliovi- rus receptor–related 2.
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Figure 2. Atherosclerotic lesion characterization of <t>Pvrl2−/−Ldlr−/−Apob100/100</t> mice and littermate controls. A, Percentage of lesion area quantified by Sudan IV staining of the total aorta (left), representative images of the total aortic tree (top right), and magnification of the aortic arch (bottom right) in 40-wk-old Pvrl2+/+Ldlr−/−Apob100/100 (n=8), Pvrl2+/−Ldlr−/−Apob100/100 (n=6) and Pvrl2−/−Ldlr−/−Apob100/100 (n=6) mice. B–E and H, Area percentage of the total aortic root cross section (left), and representative images for the correspondent immuno- histochemical staining in cryosections (right; Pvrl2+/+Ldlr−/−Apob100/100, n=5–8; Pvrl2−/−Ldlr−/−Apob100/100, n=5–8). B, Neutral lipids, quantified by Oil Red O (ORO) staining. C, Macrophage content, quantified by CD68 staining. D, Collagen, quantified by Masson Trichrome staining. E, Smooth muscle cell content, quantified as SM22α staining. F, Number of foam cell layers in the lesions, quantified as ORO-positive staining of hematoxylin-stained nucleated cells present in CD68-stained areas (left), and representative images (right). G, Proliferation, quantified by Ki67 nuclear staining and presented as percentage of the total nuclei (Pvrl2+/+Ldlr−/−Apob100/100, n=8; Pvrl2−/−Ldlr−/−Apob100/100, n=6). H, Apoptosis, quantified by Cleaved Caspase 3 staining. I, Plaque stability score, calculated as ([SM22α+collagen]/[ORO+CD68]) percent areas (Pvrl2+/+Ldlr−/−Apob100/100, n=8; Pvrl2−/−Ldlr−/−Apob100/100, n=6). *P<0.05. Statistical significance was analyzed by 1-way ANOVA with Tukey post hoc (A) and by Mann–Whitney U test (B–I). Mixed sex groups were used: males are represented by black squares (◼) and females by red circles (● ) in the dot plots. Data are presented as mean±SEM. Scale bar, 50 μm. PVRL2 indicates poliovi- rus receptor–related 2.
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Miltenyi Biotec anti cd112 pe
Figure 2. Atherosclerotic lesion characterization of <t>Pvrl2−/−Ldlr−/−Apob100/100</t> mice and littermate controls. A, Percentage of lesion area quantified by Sudan IV staining of the total aorta (left), representative images of the total aortic tree (top right), and magnification of the aortic arch (bottom right) in 40-wk-old Pvrl2+/+Ldlr−/−Apob100/100 (n=8), Pvrl2+/−Ldlr−/−Apob100/100 (n=6) and Pvrl2−/−Ldlr−/−Apob100/100 (n=6) mice. B–E and H, Area percentage of the total aortic root cross section (left), and representative images for the correspondent immuno- histochemical staining in cryosections (right; Pvrl2+/+Ldlr−/−Apob100/100, n=5–8; Pvrl2−/−Ldlr−/−Apob100/100, n=5–8). B, Neutral lipids, quantified by Oil Red O (ORO) staining. C, Macrophage content, quantified by CD68 staining. D, Collagen, quantified by Masson Trichrome staining. E, Smooth muscle cell content, quantified as SM22α staining. F, Number of foam cell layers in the lesions, quantified as ORO-positive staining of hematoxylin-stained nucleated cells present in CD68-stained areas (left), and representative images (right). G, Proliferation, quantified by Ki67 nuclear staining and presented as percentage of the total nuclei (Pvrl2+/+Ldlr−/−Apob100/100, n=8; Pvrl2−/−Ldlr−/−Apob100/100, n=6). H, Apoptosis, quantified by Cleaved Caspase 3 staining. I, Plaque stability score, calculated as ([SM22α+collagen]/[ORO+CD68]) percent areas (Pvrl2+/+Ldlr−/−Apob100/100, n=8; Pvrl2−/−Ldlr−/−Apob100/100, n=6). *P<0.05. Statistical significance was analyzed by 1-way ANOVA with Tukey post hoc (A) and by Mann–Whitney U test (B–I). Mixed sex groups were used: males are represented by black squares (◼) and females by red circles (● ) in the dot plots. Data are presented as mean±SEM. Scale bar, 50 μm. PVRL2 indicates poliovi- rus receptor–related 2.
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R&D Systems anti human nectin 2 antibody
Figure 2. Atherosclerotic lesion characterization of <t>Pvrl2−/−Ldlr−/−Apob100/100</t> mice and littermate controls. A, Percentage of lesion area quantified by Sudan IV staining of the total aorta (left), representative images of the total aortic tree (top right), and magnification of the aortic arch (bottom right) in 40-wk-old Pvrl2+/+Ldlr−/−Apob100/100 (n=8), Pvrl2+/−Ldlr−/−Apob100/100 (n=6) and Pvrl2−/−Ldlr−/−Apob100/100 (n=6) mice. B–E and H, Area percentage of the total aortic root cross section (left), and representative images for the correspondent immuno- histochemical staining in cryosections (right; Pvrl2+/+Ldlr−/−Apob100/100, n=5–8; Pvrl2−/−Ldlr−/−Apob100/100, n=5–8). B, Neutral lipids, quantified by Oil Red O (ORO) staining. C, Macrophage content, quantified by CD68 staining. D, Collagen, quantified by Masson Trichrome staining. E, Smooth muscle cell content, quantified as SM22α staining. F, Number of foam cell layers in the lesions, quantified as ORO-positive staining of hematoxylin-stained nucleated cells present in CD68-stained areas (left), and representative images (right). G, Proliferation, quantified by Ki67 nuclear staining and presented as percentage of the total nuclei (Pvrl2+/+Ldlr−/−Apob100/100, n=8; Pvrl2−/−Ldlr−/−Apob100/100, n=6). H, Apoptosis, quantified by Cleaved Caspase 3 staining. I, Plaque stability score, calculated as ([SM22α+collagen]/[ORO+CD68]) percent areas (Pvrl2+/+Ldlr−/−Apob100/100, n=8; Pvrl2−/−Ldlr−/−Apob100/100, n=6). *P<0.05. Statistical significance was analyzed by 1-way ANOVA with Tukey post hoc (A) and by Mann–Whitney U test (B–I). Mixed sex groups were used: males are represented by black squares (◼) and females by red circles (● ) in the dot plots. Data are presented as mean±SEM. Scale bar, 50 μm. PVRL2 indicates poliovi- rus receptor–related 2.
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a Percentage of PD-L1 + cells within full epithelial cancer cells from epithelial cSCCs ( n = 27), EpCAM high , EpCAM low , and EpCAM − cancer cells from mixed cSCCs ( n = 23), and full mesenchymal cancer cells from mesenchymal cSCCs ( n = 27). b Percentage of <t>CD112</t> + cells within the indicated cancer cells ( n = 12 tumors per group). c Percentage of Gal9 + cells within full epithelial cancer cells from epithelial cSCCs ( n = 27), EpCAM high , EpCAM low , and EpCAM − cancer cells from mixed cSCCs ( n = 17), and full mesenchymal cancer cells from mesenchymal cSCCs ( n = 21). d Percentage of CD80 + cells within full epithelial cancer cells from epithelial cSCCs ( n = 24), EpCAM high , EpCAM low , and EpCAM − cancer cells from mixed cSCCs ( n = 18), and full mesenchymal cancer cells from mesenchymal cSCCs ( n = 21). e Percentage of CD155 + cells within full epithelial cancer cells from epithelial cSCCs ( n = 10), EpCAM high , EpCAM low , and EpCAM − cancer cells from mixed cSCCs ( n = 9), and full mesenchymal cancer cells from mesenchymal cSCCs ( n = 12). f , h Representative immunofluorescence images of Ecad + (green), f CD80 + or h CD155 + (red), and DAPI nuclear (blue) staining in the indicated patient cSCCs. Scale bar, 100 µm. g Percentage of CD80 + cancer cells relative to total cancer cells in the indicated patient cSCCs ( n = 4 per group). i Percentage of CD155 + cancer cells relative to total cancer cells in epithelial ( n = 4), mixed ( n = 5), and mesenchymal ( n = 4) patient cSCCs. Each dot indicates the average quantification of at least five fields from different tumor regions. j Percentage of CD80 − Ecad + , CD80 + Ecad + , and CD80 + Ecad − cancer cells relative to total cancer cells in the indicated patient cSCCs ( n = 4 per group). k Percentage of CD155 − Ecad + , CD155 + Ecad + , and CD155 + Ecad − cancer cells relative to total cancer cells in epithelial ( n = 4), mixed ( n = 5), and mesenchymal ( n = 4) patient cSCCs. Data are represented as the mean ± SD ( a – e ) or ± SEM ( g , i , j , k ), and n values indicate independent tumors ( a – e , g , i ). P values are determined by one-way ANOVA with Dunnett’s ( a – e ) or Tukey’s ( g , i ) multiple comparison tests. See Supplementary Fig. for the gating strategy ( a – e ). Source data are provided as a Source Data file.
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a Percentage of PD-L1 + cells within full epithelial cancer cells from epithelial cSCCs ( n = 27), EpCAM high , EpCAM low , and EpCAM − cancer cells from mixed cSCCs ( n = 23), and full mesenchymal cancer cells from mesenchymal cSCCs ( n = 27). b Percentage of <t>CD112</t> + cells within the indicated cancer cells ( n = 12 tumors per group). c Percentage of Gal9 + cells within full epithelial cancer cells from epithelial cSCCs ( n = 27), EpCAM high , EpCAM low , and EpCAM − cancer cells from mixed cSCCs ( n = 17), and full mesenchymal cancer cells from mesenchymal cSCCs ( n = 21). d Percentage of CD80 + cells within full epithelial cancer cells from epithelial cSCCs ( n = 24), EpCAM high , EpCAM low , and EpCAM − cancer cells from mixed cSCCs ( n = 18), and full mesenchymal cancer cells from mesenchymal cSCCs ( n = 21). e Percentage of CD155 + cells within full epithelial cancer cells from epithelial cSCCs ( n = 10), EpCAM high , EpCAM low , and EpCAM − cancer cells from mixed cSCCs ( n = 9), and full mesenchymal cancer cells from mesenchymal cSCCs ( n = 12). f , h Representative immunofluorescence images of Ecad + (green), f CD80 + or h CD155 + (red), and DAPI nuclear (blue) staining in the indicated patient cSCCs. Scale bar, 100 µm. g Percentage of CD80 + cancer cells relative to total cancer cells in the indicated patient cSCCs ( n = 4 per group). i Percentage of CD155 + cancer cells relative to total cancer cells in epithelial ( n = 4), mixed ( n = 5), and mesenchymal ( n = 4) patient cSCCs. Each dot indicates the average quantification of at least five fields from different tumor regions. j Percentage of CD80 − Ecad + , CD80 + Ecad + , and CD80 + Ecad − cancer cells relative to total cancer cells in the indicated patient cSCCs ( n = 4 per group). k Percentage of CD155 − Ecad + , CD155 + Ecad + , and CD155 + Ecad − cancer cells relative to total cancer cells in epithelial ( n = 4), mixed ( n = 5), and mesenchymal ( n = 4) patient cSCCs. Data are represented as the mean ± SD ( a – e ) or ± SEM ( g , i , j , k ), and n values indicate independent tumors ( a – e , g , i ). P values are determined by one-way ANOVA with Dunnett’s ( a – e ) or Tukey’s ( g , i ) multiple comparison tests. See Supplementary Fig. for the gating strategy ( a – e ). Source data are provided as a Source Data file.
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AML cells exhibit no, or heterogeneous, expression of DNAM-1 ligands. (A) The indicated AML cell lines were analyzed for expression of <t>CD112,</t> CD155 and CD33 by flow cytometry. Iso refers to immunoglobulin isotype matched control antibody while stain indicates specific antibody staining. (B) The percentage of cells expressing the indicated ligands within populations of the indicated cell type, as analyzed from (A). (C) CD155 expression on the indicated AML cell lines was visualized by confocal microscopy. Scale bar represents 20 µm.
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AML cells exhibit no, or heterogeneous, expression of DNAM-1 ligands. (A) The indicated AML cell lines were analyzed for expression of <t>CD112,</t> CD155 and CD33 by flow cytometry. Iso refers to immunoglobulin isotype matched control antibody while stain indicates specific antibody staining. (B) The percentage of cells expressing the indicated ligands within populations of the indicated cell type, as analyzed from (A). (C) CD155 expression on the indicated AML cell lines was visualized by confocal microscopy. Scale bar represents 20 µm.
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AML cells exhibit no, or heterogeneous, expression of DNAM-1 ligands. (A) The indicated AML cell lines were analyzed for expression of <t>CD112,</t> CD155 and CD33 by flow cytometry. Iso refers to immunoglobulin isotype matched control antibody while stain indicates specific antibody staining. (B) The percentage of cells expressing the indicated ligands within populations of the indicated cell type, as analyzed from (A). (C) CD155 expression on the indicated AML cell lines was visualized by confocal microscopy. Scale bar represents 20 µm.
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Image Search Results


The recruitment of LAMP3 + DCs by tumor cells promotes PTC clinical progression. Heatmaps (A) and circle (B) plots show the comparison of interaction quantity and interaction strength between thyrocytes and cDCs between non-progressive PTC and progressive PTC. Red indicated that the increase of communication in the latter. (C) The interaction between thyrocytes and cDCs is more numerous and stronger in Group B. (D) Summary of selected ligand-receptor interactions between thyrocytes and cDC-C3 cells in the two groups. (E) Circle plots showing the interaction between NECTIN3-NECTIN2 ligand-receptor pairs in the cDCs and thyrocytes. (F) The expression level of S100A2 is positively correlated with LAMP3. (G) Representative immunofluorescence images illustrating the interaction between thyrocytes and cDC_C3 in two groups (A1 and B9). The small panels show the magnification of the selected region highlighted in red. Scale bars correspond to 50 µm in the large panel. (H) Schematic showing the crosstalk among thyrocytes, LAMP3 + DCs, CD8 + T cells, and Tregs involved in the recruitment of immune cells and the formation of an immunosuppressive microenvironment in the progressive PTC. cDC. conventional DC; DC, dendritic cell; CTLA-4, cytotoxic T-lymphocyte associated protein 4; ICAM, intercellular adhesion molecule 1; LAMP3, lysosomal associated membrane protein 3; PTC, papillary thyroid cancer; SPN, sialophorin; TME, tumor microenvironment; Treg, regulatory T cell.

Journal: Journal for Immunotherapy of Cancer

Article Title: Interactions between LAMP3+ dendritic cells and T-cell subpopulations promote immune evasion in papillary thyroid carcinoma

doi: 10.1136/jitc-2024-008983

Figure Lengend Snippet: The recruitment of LAMP3 + DCs by tumor cells promotes PTC clinical progression. Heatmaps (A) and circle (B) plots show the comparison of interaction quantity and interaction strength between thyrocytes and cDCs between non-progressive PTC and progressive PTC. Red indicated that the increase of communication in the latter. (C) The interaction between thyrocytes and cDCs is more numerous and stronger in Group B. (D) Summary of selected ligand-receptor interactions between thyrocytes and cDC-C3 cells in the two groups. (E) Circle plots showing the interaction between NECTIN3-NECTIN2 ligand-receptor pairs in the cDCs and thyrocytes. (F) The expression level of S100A2 is positively correlated with LAMP3. (G) Representative immunofluorescence images illustrating the interaction between thyrocytes and cDC_C3 in two groups (A1 and B9). The small panels show the magnification of the selected region highlighted in red. Scale bars correspond to 50 µm in the large panel. (H) Schematic showing the crosstalk among thyrocytes, LAMP3 + DCs, CD8 + T cells, and Tregs involved in the recruitment of immune cells and the formation of an immunosuppressive microenvironment in the progressive PTC. cDC. conventional DC; DC, dendritic cell; CTLA-4, cytotoxic T-lymphocyte associated protein 4; ICAM, intercellular adhesion molecule 1; LAMP3, lysosomal associated membrane protein 3; PTC, papillary thyroid cancer; SPN, sialophorin; TME, tumor microenvironment; Treg, regulatory T cell.

Article Snippet: The following antibodies were used in the current study: primary antibodies against DC_LAMP/CD208 (1:400, CST, Cat#47778), CD8A (1:100 dilution; Abcam, Cat#ab217344), TIGIT (1:1,000, Cell Signaling Technology, Cat#99567T), NECTIN2 (1:400, Cell Signaling Technology, Cat#95333T), NECTIN3 (1:500, R&D, Cat#AF3064-SP), CCL17 (1:1,000, Abcam, Cat#ab195044), KRT19 (1:2,000, Abcam, Cat#ab76539), FOXP3 (1:2,000, Abcam, Cat#ab215206), or CCR4 (1:2,000, Novus Biologicals, Cat#NBP1-86584).

Techniques: Comparison, Expressing, Immunofluorescence, Membrane

Figure 2. Atherosclerotic lesion characterization of Pvrl2−/−Ldlr−/−Apob100/100 mice and littermate controls. A, Percentage of lesion area quantified by Sudan IV staining of the total aorta (left), representative images of the total aortic tree (top right), and magnification of the aortic arch (bottom right) in 40-wk-old Pvrl2+/+Ldlr−/−Apob100/100 (n=8), Pvrl2+/−Ldlr−/−Apob100/100 (n=6) and Pvrl2−/−Ldlr−/−Apob100/100 (n=6) mice. B–E and H, Area percentage of the total aortic root cross section (left), and representative images for the correspondent immuno- histochemical staining in cryosections (right; Pvrl2+/+Ldlr−/−Apob100/100, n=5–8; Pvrl2−/−Ldlr−/−Apob100/100, n=5–8). B, Neutral lipids, quantified by Oil Red O (ORO) staining. C, Macrophage content, quantified by CD68 staining. D, Collagen, quantified by Masson Trichrome staining. E, Smooth muscle cell content, quantified as SM22α staining. F, Number of foam cell layers in the lesions, quantified as ORO-positive staining of hematoxylin-stained nucleated cells present in CD68-stained areas (left), and representative images (right). G, Proliferation, quantified by Ki67 nuclear staining and presented as percentage of the total nuclei (Pvrl2+/+Ldlr−/−Apob100/100, n=8; Pvrl2−/−Ldlr−/−Apob100/100, n=6). H, Apoptosis, quantified by Cleaved Caspase 3 staining. I, Plaque stability score, calculated as ([SM22α+collagen]/[ORO+CD68]) percent areas (Pvrl2+/+Ldlr−/−Apob100/100, n=8; Pvrl2−/−Ldlr−/−Apob100/100, n=6). *P<0.05. Statistical significance was analyzed by 1-way ANOVA with Tukey post hoc (A) and by Mann–Whitney U test (B–I). Mixed sex groups were used: males are represented by black squares (◼) and females by red circles (● ) in the dot plots. Data are presented as mean±SEM. Scale bar, 50 μm. PVRL2 indicates poliovi- rus receptor–related 2.

Journal: Arteriosclerosis, Thrombosis, and Vascular Biology

Article Title: Poliovirus Receptor–Related 2

doi: 10.1161/atvbaha.116.308715

Figure Lengend Snippet: Figure 2. Atherosclerotic lesion characterization of Pvrl2−/−Ldlr−/−Apob100/100 mice and littermate controls. A, Percentage of lesion area quantified by Sudan IV staining of the total aorta (left), representative images of the total aortic tree (top right), and magnification of the aortic arch (bottom right) in 40-wk-old Pvrl2+/+Ldlr−/−Apob100/100 (n=8), Pvrl2+/−Ldlr−/−Apob100/100 (n=6) and Pvrl2−/−Ldlr−/−Apob100/100 (n=6) mice. B–E and H, Area percentage of the total aortic root cross section (left), and representative images for the correspondent immuno- histochemical staining in cryosections (right; Pvrl2+/+Ldlr−/−Apob100/100, n=5–8; Pvrl2−/−Ldlr−/−Apob100/100, n=5–8). B, Neutral lipids, quantified by Oil Red O (ORO) staining. C, Macrophage content, quantified by CD68 staining. D, Collagen, quantified by Masson Trichrome staining. E, Smooth muscle cell content, quantified as SM22α staining. F, Number of foam cell layers in the lesions, quantified as ORO-positive staining of hematoxylin-stained nucleated cells present in CD68-stained areas (left), and representative images (right). G, Proliferation, quantified by Ki67 nuclear staining and presented as percentage of the total nuclei (Pvrl2+/+Ldlr−/−Apob100/100, n=8; Pvrl2−/−Ldlr−/−Apob100/100, n=6). H, Apoptosis, quantified by Cleaved Caspase 3 staining. I, Plaque stability score, calculated as ([SM22α+collagen]/[ORO+CD68]) percent areas (Pvrl2+/+Ldlr−/−Apob100/100, n=8; Pvrl2−/−Ldlr−/−Apob100/100, n=6). *P<0.05. Statistical significance was analyzed by 1-way ANOVA with Tukey post hoc (A) and by Mann–Whitney U test (B–I). Mixed sex groups were used: males are represented by black squares (◼) and females by red circles (● ) in the dot plots. Data are presented as mean±SEM. Scale bar, 50 μm. PVRL2 indicates poliovi- rus receptor–related 2.

Article Snippet: They were then fixed in 4% PFA, quenched in 10 mM glycine, permeabilized in 0.1% Triton X-100, blocked in 0.1% BSA and then stained using the following primary antibodies: PVRL2 (1:50, sc-32804, Santa Cruz Biotechnology), VE- Cadherin (1:500, sc-6458, Santa Cruz Biotechnology), and Vinculin (1:200, V-4505, Sigma- Aldrich) overnight at 4 °C.

Techniques: Staining, MANN-WHITNEY

a Percentage of PD-L1 + cells within full epithelial cancer cells from epithelial cSCCs ( n = 27), EpCAM high , EpCAM low , and EpCAM − cancer cells from mixed cSCCs ( n = 23), and full mesenchymal cancer cells from mesenchymal cSCCs ( n = 27). b Percentage of CD112 + cells within the indicated cancer cells ( n = 12 tumors per group). c Percentage of Gal9 + cells within full epithelial cancer cells from epithelial cSCCs ( n = 27), EpCAM high , EpCAM low , and EpCAM − cancer cells from mixed cSCCs ( n = 17), and full mesenchymal cancer cells from mesenchymal cSCCs ( n = 21). d Percentage of CD80 + cells within full epithelial cancer cells from epithelial cSCCs ( n = 24), EpCAM high , EpCAM low , and EpCAM − cancer cells from mixed cSCCs ( n = 18), and full mesenchymal cancer cells from mesenchymal cSCCs ( n = 21). e Percentage of CD155 + cells within full epithelial cancer cells from epithelial cSCCs ( n = 10), EpCAM high , EpCAM low , and EpCAM − cancer cells from mixed cSCCs ( n = 9), and full mesenchymal cancer cells from mesenchymal cSCCs ( n = 12). f , h Representative immunofluorescence images of Ecad + (green), f CD80 + or h CD155 + (red), and DAPI nuclear (blue) staining in the indicated patient cSCCs. Scale bar, 100 µm. g Percentage of CD80 + cancer cells relative to total cancer cells in the indicated patient cSCCs ( n = 4 per group). i Percentage of CD155 + cancer cells relative to total cancer cells in epithelial ( n = 4), mixed ( n = 5), and mesenchymal ( n = 4) patient cSCCs. Each dot indicates the average quantification of at least five fields from different tumor regions. j Percentage of CD80 − Ecad + , CD80 + Ecad + , and CD80 + Ecad − cancer cells relative to total cancer cells in the indicated patient cSCCs ( n = 4 per group). k Percentage of CD155 − Ecad + , CD155 + Ecad + , and CD155 + Ecad − cancer cells relative to total cancer cells in epithelial ( n = 4), mixed ( n = 5), and mesenchymal ( n = 4) patient cSCCs. Data are represented as the mean ± SD ( a – e ) or ± SEM ( g , i , j , k ), and n values indicate independent tumors ( a – e , g , i ). P values are determined by one-way ANOVA with Dunnett’s ( a – e ) or Tukey’s ( g , i ) multiple comparison tests. See Supplementary Fig. for the gating strategy ( a – e ). Source data are provided as a Source Data file.

Journal: Nature Communications

Article Title: Cancer cell plasticity defines response to immunotherapy in cutaneous squamous cell carcinoma

doi: 10.1038/s41467-024-49718-8

Figure Lengend Snippet: a Percentage of PD-L1 + cells within full epithelial cancer cells from epithelial cSCCs ( n = 27), EpCAM high , EpCAM low , and EpCAM − cancer cells from mixed cSCCs ( n = 23), and full mesenchymal cancer cells from mesenchymal cSCCs ( n = 27). b Percentage of CD112 + cells within the indicated cancer cells ( n = 12 tumors per group). c Percentage of Gal9 + cells within full epithelial cancer cells from epithelial cSCCs ( n = 27), EpCAM high , EpCAM low , and EpCAM − cancer cells from mixed cSCCs ( n = 17), and full mesenchymal cancer cells from mesenchymal cSCCs ( n = 21). d Percentage of CD80 + cells within full epithelial cancer cells from epithelial cSCCs ( n = 24), EpCAM high , EpCAM low , and EpCAM − cancer cells from mixed cSCCs ( n = 18), and full mesenchymal cancer cells from mesenchymal cSCCs ( n = 21). e Percentage of CD155 + cells within full epithelial cancer cells from epithelial cSCCs ( n = 10), EpCAM high , EpCAM low , and EpCAM − cancer cells from mixed cSCCs ( n = 9), and full mesenchymal cancer cells from mesenchymal cSCCs ( n = 12). f , h Representative immunofluorescence images of Ecad + (green), f CD80 + or h CD155 + (red), and DAPI nuclear (blue) staining in the indicated patient cSCCs. Scale bar, 100 µm. g Percentage of CD80 + cancer cells relative to total cancer cells in the indicated patient cSCCs ( n = 4 per group). i Percentage of CD155 + cancer cells relative to total cancer cells in epithelial ( n = 4), mixed ( n = 5), and mesenchymal ( n = 4) patient cSCCs. Each dot indicates the average quantification of at least five fields from different tumor regions. j Percentage of CD80 − Ecad + , CD80 + Ecad + , and CD80 + Ecad − cancer cells relative to total cancer cells in the indicated patient cSCCs ( n = 4 per group). k Percentage of CD155 − Ecad + , CD155 + Ecad + , and CD155 + Ecad − cancer cells relative to total cancer cells in epithelial ( n = 4), mixed ( n = 5), and mesenchymal ( n = 4) patient cSCCs. Data are represented as the mean ± SD ( a – e ) or ± SEM ( g , i , j , k ), and n values indicate independent tumors ( a – e , g , i ). P values are determined by one-way ANOVA with Dunnett’s ( a – e ) or Tukey’s ( g , i ) multiple comparison tests. See Supplementary Fig. for the gating strategy ( a – e ). Source data are provided as a Source Data file.

Article Snippet: For cell-surface staining, cells were blocked with 1 mg/ml IgG (Sigma, I5381) and stained with a cocktail of cell-surface antibodies in staining buffer (5% FBS in PBS) for 30 min at 4 °C: from Biolegend, CD11b-APC 1:250 (M1/70, 101211), CD11b-PE/Cy7 1:250 (M1/70, 101215), CD152 (CTLA-4)-PE/Cy7 1:250 (UC10-4B9, 106313), CD155-PE/Cy7 1:200 (TX56, 131511), CD223 (LAG-3)-PE/Cy7 1:250 (C9B7W, 125225), CD226 (DNAM-1)-PE/Cy7 1:250 (10E5, 128811), CD25-PE/Cy7 1:200 (PC61, 102015), CD274 (PD-L1)-PE/Cy7 1:200 (10F.9G2, 124313), CD279 (PD-1)-APC/Cy7 1:250 (29F.1A12, 135223), CD28-PE/Cy7 1:250 (37.51, 102125), CD3ε-APC 1:200 (145-2C11, 100311), CD366 (TIM-3)-PE/Cy7 1:250 (B8.2C12, 134009), CD4-PE/Cy7 1:200 (RM4-5, 100528), CD49f (α6-integrin)-FITC 1:10 (GoH3, 313605), CD69-PE/Cy7 1:200 (H1.2F3, 104511), CD8a-PE 1:200 (53-6.7, 100707), CD80-PE/Cy7 1:250 (16-10A1, 104733), F4/80-APC/Cy7 1:200 (BM8, 123118), Galectin9-PE/Cy7 1:250 (108A2, 137913), Ly-6G/Ly-6C (Gr-1)-PE/Cy7 1:250 (RB6-8C5, 108415), Ly-6C-PE/Cy7 1:250 (HK1.4, 128017), Ly-6G-APC 1:250 (1A8, 127613), NK-1.1-PE 1:200 (PK136, 108707), TIGIT (Vstm3)-PE/Cy7 1:250 (1G9, 142107); from BD Bioscience, CD11b-PE 1:250 (M1/70, 557397); from eBioscience, CD206-APC 1:200 (MR6F3, 17-2061-80), CD326 (EpCAM)-APC-eF780 1:400 (G8.8, 47-5791-82); from TONBO, CD45-PE 1:350 (30-F11, 50-0451); from R&D Systems, CD112 (Nectin-2)-APC 1:200 (829038, FAB3869A).

Techniques: Immunofluorescence, Staining, Comparison

AML cells exhibit no, or heterogeneous, expression of DNAM-1 ligands. (A) The indicated AML cell lines were analyzed for expression of CD112, CD155 and CD33 by flow cytometry. Iso refers to immunoglobulin isotype matched control antibody while stain indicates specific antibody staining. (B) The percentage of cells expressing the indicated ligands within populations of the indicated cell type, as analyzed from (A). (C) CD155 expression on the indicated AML cell lines was visualized by confocal microscopy. Scale bar represents 20 µm.

Journal: Oncoimmunology

Article Title: Loss of DNAM-1 ligand expression by acute myeloid leukemia cells renders them resistant to NK cell killing

doi: 10.1080/2162402X.2016.1196308

Figure Lengend Snippet: AML cells exhibit no, or heterogeneous, expression of DNAM-1 ligands. (A) The indicated AML cell lines were analyzed for expression of CD112, CD155 and CD33 by flow cytometry. Iso refers to immunoglobulin isotype matched control antibody while stain indicates specific antibody staining. (B) The percentage of cells expressing the indicated ligands within populations of the indicated cell type, as analyzed from (A). (C) CD155 expression on the indicated AML cell lines was visualized by confocal microscopy. Scale bar represents 20 µm.

Article Snippet: Antibodies Directly conjugated antibodies were used for of the analysis of NK cell ligands and consisted of anti-human CD155-PE (FAB25301, R&D systems), CD112-FITC (FAB2229G, R&D systems), CD33 PECy7 (333946, BD) and anti-mouse CD112-FITC (690912 R&D systems), CD155-PE (690912, R&D systems).

Techniques: Expressing, Flow Cytometry, Control, Staining, Confocal Microscopy

DNAM-1 ligands are required for NK cell activity against AML targets. (A) K562 cells were stained with anti-CD112 and anti-CD155 antibodies, then FACS sorted into high expressing (both CD112 and CD155) and low expressing (both CD112 and CD155) populations. (B) K562 cells were FACS sorted as in (A), then used as targets in an NK cell degranulation assay. (C) K562 cells were FACS sorted as in (A), then used as targets in an NK cell chromium release assay. (D) MV4-11 cells were stained with anti-CD112 and anti-CD155 antibodies, then FACS sorted into high expressing (both CD112 and CD155) and low expressing (both CD112 and CD155) populations. (E) MV4-11 cells were FACS sorted as in (D), then used as targets in an NK cell degranulation assay. (F) MV-411 cells were FACS sorted as in (D), then used as targets in an NK cell chromium release assay. (G) NK cell chromium release assay against the indicated AML targets (5:1 E:T ratio) in the presence or absence of anti-DNAM-1-neutralizing antibody (5 μg/mL). (H–I) NK cell chromium release assay at the indicated E:T ratios using FACS sorted high and low CD112/CD155 expressing K562 and MV-411 cells, in the presence or absence of anti-DNAM-1-neutralizing antibody (5 μg/mL). Error bars represent the mean ± SEM of triplicate determinations from a representative experiment (n = 3). *p < 0.05 by unpaired Student's t test.

Journal: Oncoimmunology

Article Title: Loss of DNAM-1 ligand expression by acute myeloid leukemia cells renders them resistant to NK cell killing

doi: 10.1080/2162402X.2016.1196308

Figure Lengend Snippet: DNAM-1 ligands are required for NK cell activity against AML targets. (A) K562 cells were stained with anti-CD112 and anti-CD155 antibodies, then FACS sorted into high expressing (both CD112 and CD155) and low expressing (both CD112 and CD155) populations. (B) K562 cells were FACS sorted as in (A), then used as targets in an NK cell degranulation assay. (C) K562 cells were FACS sorted as in (A), then used as targets in an NK cell chromium release assay. (D) MV4-11 cells were stained with anti-CD112 and anti-CD155 antibodies, then FACS sorted into high expressing (both CD112 and CD155) and low expressing (both CD112 and CD155) populations. (E) MV4-11 cells were FACS sorted as in (D), then used as targets in an NK cell degranulation assay. (F) MV-411 cells were FACS sorted as in (D), then used as targets in an NK cell chromium release assay. (G) NK cell chromium release assay against the indicated AML targets (5:1 E:T ratio) in the presence or absence of anti-DNAM-1-neutralizing antibody (5 μg/mL). (H–I) NK cell chromium release assay at the indicated E:T ratios using FACS sorted high and low CD112/CD155 expressing K562 and MV-411 cells, in the presence or absence of anti-DNAM-1-neutralizing antibody (5 μg/mL). Error bars represent the mean ± SEM of triplicate determinations from a representative experiment (n = 3). *p < 0.05 by unpaired Student's t test.

Article Snippet: Antibodies Directly conjugated antibodies were used for of the analysis of NK cell ligands and consisted of anti-human CD155-PE (FAB25301, R&D systems), CD112-FITC (FAB2229G, R&D systems), CD33 PECy7 (333946, BD) and anti-mouse CD112-FITC (690912 R&D systems), CD155-PE (690912, R&D systems).

Techniques: Activity Assay, Staining, Expressing, Degranulation Assay, Release Assay

DNAM-1 ligands increase the frequency of ‘normal’ NK-target cell synapses. (A–B) FACS sorted (CD112/155 high and low) K562 and MV-411 cells were seeded in chamber slides using serum free media, then overlaid with NK cells 30 min later, followed by fixing. The percentage of targets that had conjugated with an NK cell was then quantitated by confocal microscopy. A minimum of 20 fields of view was analyzed and is representative of two independent experiments. (C) FACS sorted (CD112/155 high and low) MV4-11 cells were seeded in chamber slides using serum free media, then overlaid with NK cells 30 min later. After 1 h, cells were fixed, stained with the antibody combinations indicated, then analyzed by confocal microscopy. Representative images of NK-target cell synapses are presented. Scale bar represents 10 µm. (D) The percentage of NK cells that had polarized LFA-1 and perforin to the synapse was quantified from (C). A minimum of 20 NK-target cell synapses was analyzed and data from two independent experiments was pooled. Error bars represent the mean ± SEM *p < 0.05 by unpaired Student's t test.

Journal: Oncoimmunology

Article Title: Loss of DNAM-1 ligand expression by acute myeloid leukemia cells renders them resistant to NK cell killing

doi: 10.1080/2162402X.2016.1196308

Figure Lengend Snippet: DNAM-1 ligands increase the frequency of ‘normal’ NK-target cell synapses. (A–B) FACS sorted (CD112/155 high and low) K562 and MV-411 cells were seeded in chamber slides using serum free media, then overlaid with NK cells 30 min later, followed by fixing. The percentage of targets that had conjugated with an NK cell was then quantitated by confocal microscopy. A minimum of 20 fields of view was analyzed and is representative of two independent experiments. (C) FACS sorted (CD112/155 high and low) MV4-11 cells were seeded in chamber slides using serum free media, then overlaid with NK cells 30 min later. After 1 h, cells were fixed, stained with the antibody combinations indicated, then analyzed by confocal microscopy. Representative images of NK-target cell synapses are presented. Scale bar represents 10 µm. (D) The percentage of NK cells that had polarized LFA-1 and perforin to the synapse was quantified from (C). A minimum of 20 NK-target cell synapses was analyzed and data from two independent experiments was pooled. Error bars represent the mean ± SEM *p < 0.05 by unpaired Student's t test.

Article Snippet: Antibodies Directly conjugated antibodies were used for of the analysis of NK cell ligands and consisted of anti-human CD155-PE (FAB25301, R&D systems), CD112-FITC (FAB2229G, R&D systems), CD33 PECy7 (333946, BD) and anti-mouse CD112-FITC (690912 R&D systems), CD155-PE (690912, R&D systems).

Techniques: Confocal Microscopy, Staining

Live imaging reveals that AML cells lacking DNAM-1 ligand expression drive NK cell failed killing. (A) FACS sorted (CD112/155 high and low) MV4-11 cells were seeded in chamber slides using serum free media, then overlaid with NK cells labeled with fluo-4 acetoxymethyl AM (green) to indicate calcium signaling, and analyzed by time-lapse microscopy. PtdIns (red) (100 μg/mL) was added to the medium to indicate perforin-induced target membrane puncture. Representative still images at the indicated time-points are depicted (hr:min). (B–C) Individual NK-MV-411 CD112/CD155 high and low contacts were monitored for events that did (successful kill) or did not (failed kill) result in target killing, as indicated by PI influx and apoptotic morphology. (D) The time interval between initial NK-target cell contact and target cell death (PtdIns influx) was analyzed. (E–G) K562 cells were used as targets in the assays described in (B–D) above. All quantification data is pooled from individual movies (n = 3). Error bars represent the mean ± SEM *p < 0.05 by unpaired Student's t test.

Journal: Oncoimmunology

Article Title: Loss of DNAM-1 ligand expression by acute myeloid leukemia cells renders them resistant to NK cell killing

doi: 10.1080/2162402X.2016.1196308

Figure Lengend Snippet: Live imaging reveals that AML cells lacking DNAM-1 ligand expression drive NK cell failed killing. (A) FACS sorted (CD112/155 high and low) MV4-11 cells were seeded in chamber slides using serum free media, then overlaid with NK cells labeled with fluo-4 acetoxymethyl AM (green) to indicate calcium signaling, and analyzed by time-lapse microscopy. PtdIns (red) (100 μg/mL) was added to the medium to indicate perforin-induced target membrane puncture. Representative still images at the indicated time-points are depicted (hr:min). (B–C) Individual NK-MV-411 CD112/CD155 high and low contacts were monitored for events that did (successful kill) or did not (failed kill) result in target killing, as indicated by PI influx and apoptotic morphology. (D) The time interval between initial NK-target cell contact and target cell death (PtdIns influx) was analyzed. (E–G) K562 cells were used as targets in the assays described in (B–D) above. All quantification data is pooled from individual movies (n = 3). Error bars represent the mean ± SEM *p < 0.05 by unpaired Student's t test.

Article Snippet: Antibodies Directly conjugated antibodies were used for of the analysis of NK cell ligands and consisted of anti-human CD155-PE (FAB25301, R&D systems), CD112-FITC (FAB2229G, R&D systems), CD33 PECy7 (333946, BD) and anti-mouse CD112-FITC (690912 R&D systems), CD155-PE (690912, R&D systems).

Techniques: Imaging, Expressing, Labeling, Time-lapse Microscopy, Membrane

NK cells preferentially target DNAM-1 ligand-expressing cells and drive clonal selection of DNAM-1 ligand negativity. (A) FACS-sorted K562 CD112/CD155 high and low cells were labeled with CFSE and CTV, respectively, then exposed to NK cells at the indicated E:T ratios. After 4 h, cells were analyzed by flow cytometry and loss of dye was monitored from viable populations. (B) Extended E:T ratio titration for the assay described in (A), using FACS-sorted K562 and MV-411 CD112/CD155 high and low cells as targets. Error bars represent the mean ± SEM of triplicate determinations from a representative experiment (n = 2). *p < 0.05 by unpaired Student's t test. (C–D) K562 and MV-411 cells were either exposed to NK cells (1:1 E:T Ratio), or not, for 5 d. Viable AML cells (fixable yellow negative, CD33 positive) were then analyzed for CD112 and CD155 expression by flow cytometry, and compared to parental cells (no NK cell exposure). Bar charts represent the number of CD112/CD155 double positive cells after 5 d in the presence or absence of NK cell exposure. Error bars represent the mean ± SEM of triplicate determinations from a representative experiment (n = 3). *p < 0.05 by unpaired Student's t test.

Journal: Oncoimmunology

Article Title: Loss of DNAM-1 ligand expression by acute myeloid leukemia cells renders them resistant to NK cell killing

doi: 10.1080/2162402X.2016.1196308

Figure Lengend Snippet: NK cells preferentially target DNAM-1 ligand-expressing cells and drive clonal selection of DNAM-1 ligand negativity. (A) FACS-sorted K562 CD112/CD155 high and low cells were labeled with CFSE and CTV, respectively, then exposed to NK cells at the indicated E:T ratios. After 4 h, cells were analyzed by flow cytometry and loss of dye was monitored from viable populations. (B) Extended E:T ratio titration for the assay described in (A), using FACS-sorted K562 and MV-411 CD112/CD155 high and low cells as targets. Error bars represent the mean ± SEM of triplicate determinations from a representative experiment (n = 2). *p < 0.05 by unpaired Student's t test. (C–D) K562 and MV-411 cells were either exposed to NK cells (1:1 E:T Ratio), or not, for 5 d. Viable AML cells (fixable yellow negative, CD33 positive) were then analyzed for CD112 and CD155 expression by flow cytometry, and compared to parental cells (no NK cell exposure). Bar charts represent the number of CD112/CD155 double positive cells after 5 d in the presence or absence of NK cell exposure. Error bars represent the mean ± SEM of triplicate determinations from a representative experiment (n = 3). *p < 0.05 by unpaired Student's t test.

Article Snippet: Antibodies Directly conjugated antibodies were used for of the analysis of NK cell ligands and consisted of anti-human CD155-PE (FAB25301, R&D systems), CD112-FITC (FAB2229G, R&D systems), CD33 PECy7 (333946, BD) and anti-mouse CD112-FITC (690912 R&D systems), CD155-PE (690912, R&D systems).

Techniques: Expressing, Selection, Labeling, Flow Cytometry, Titration