cd112 Search Results


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Miltenyi Biotec anti cd112 pe
Anti Cd112 Pe, supplied by Miltenyi Biotec, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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R&D Systems nectin2 antibody
Nectin2 Antibody, supplied by R&D Systems, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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R&D Systems anti human nectin 2 antibody
Anti Human Nectin 2 Antibody, supplied by R&D Systems, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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R&D Systems cd112 nectin 2 apc
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.
Cd112 Nectin 2 Apc, supplied by R&D Systems, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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R&D Systems cd112
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.
Cd112, supplied by R&D Systems, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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R&D Systems cd112 fitc
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.
Cd112 Fitc, supplied by R&D Systems, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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R&D Systems pe anti human cd112 nectin 2
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.
Pe Anti Human Cd112 Nectin 2, supplied by R&D Systems, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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R&D Systems anti nectin2 mab
PVR and <t>Nectin2</t> are mainly found as intracellular pool in MM cells. ( a ) CD38 + CD138 + malignant PCs derived from BM aspirates of MM patients (n = 34) were analysed for PVR and Nectin2 surface and total (surface plus intracellular) expression before and after fixation and permeabilization, respectively. Cells were acquired using FACSCanto flow cytometer (BD Biosciences). Each dot represents a single patient, ****p < 0.001, Wilcoxon matched pairs test. ( b ) PVR (left panel) and Nectin2 (right panel) surface and total (surface plus intracellular) expression was analysed on MM cell lines before and after fixation and permeabilization, respectively. Cells were acquired using FACSCalibur flow cytometer (BD Biosciences). Data represent the means ± SD of PVR and Nectin2 from three independent experiments. *p < 0.05, Student T test. MFI: mean fluorescence intensity.
Anti Nectin2 Mab, supplied by R&D Systems, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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R&D Systems anti nectin2 neutralizing antibody
a We examined the immune checkpoint interactions between lymphocytes and APCs (tumor cells and TAMs) and identified the prominent interaction via the TIGIT – <t>NECTIN2</t> axis (circle size indicates the statistical significance and circle color indicates the level of interaction). The empirical P value was estimated by 1000 imputations. b The expression of TIGIT and NECTIN2 was respectively enriched in T cells and APCs. c Upregulation of NECTIN2 was detected in HCC tumors, as compared to non-tumorous livers in both in-house and TCGA datasets. Student’s t test (2-sided). Source data are provided as a Source Data file.
Anti Nectin2 Neutralizing Antibody, supplied by R&D Systems, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Novus Biologicals antibody rabbit antihuman nectin
a We examined the immune checkpoint interactions between lymphocytes and APCs (tumor cells and TAMs) and identified the prominent interaction via the TIGIT – <t>NECTIN2</t> axis (circle size indicates the statistical significance and circle color indicates the level of interaction). The empirical P value was estimated by 1000 imputations. b The expression of TIGIT and NECTIN2 was respectively enriched in T cells and APCs. c Upregulation of NECTIN2 was detected in HCC tumors, as compared to non-tumorous livers in both in-house and TCGA datasets. Student’s t test (2-sided). Source data are provided as a Source Data file.
Antibody Rabbit Antihuman Nectin, supplied by Novus Biologicals, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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R&D Systems anti nectin 2 cd112 apc
a We examined the immune checkpoint interactions between lymphocytes and APCs (tumor cells and TAMs) and identified the prominent interaction via the TIGIT – <t>NECTIN2</t> axis (circle size indicates the statistical significance and circle color indicates the level of interaction). The empirical P value was estimated by 1000 imputations. b The expression of TIGIT and NECTIN2 was respectively enriched in T cells and APCs. c Upregulation of NECTIN2 was detected in HCC tumors, as compared to non-tumorous livers in both in-house and TCGA datasets. Student’s t test (2-sided). Source data are provided as a Source Data file.
Anti Nectin 2 Cd112 Apc, supplied by R&D Systems, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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R&D Systems anti cd112 ab
WT mice were subjected to CLP and the small intestines were harvested after 20 h. A The number (no.) of neutrophils in the gut epithelium. Experiments were performed 2 times, and all data were used for analysis. Data are expressed as mean ± SEM (n = 4 samples/group) and compared by paired two-tailed Student’s t test. P value: 1.11E-2. *p < 0.05 vs. Sham. B Representative microscopic images of the gut epithelium (original magnification, ×630; scale bar: 10 μm). Experiments were performed 3 times, and representative images are shown. Bone marrow - derived neutrophils (PMNs) were treated with or without LPS in the presence and absence of intraepithelial lymphocytes (IELs) at 1:1 ratio for 12 h to evaluate NETs. C Representative microscopic images from 3 independent experiments are shown (original magnification, ×200; scale bar: 100 μm). Ly6G (purple) serves as a neutrophil marker. D Representative dot plots following the gating strategy of NETs in Fig. and E frequency of NETs + (Cit-H3 + MPO + ) neutrophils assessed by flow cytometry are shown. Experiments were performed 3 times, and all data were used for analysis. Data are expressed as mean ± SEM (n = 6 samples/group) and compared by one-way ANOVA and SNK test. P values based on the order of appearance: 3.02E-7, 1.42E-6, 4.15E-5. *p < 0.05 vs. PBS, # p < 0.05 vs. LPS, † p < 0 . 05 vs. PBS+IELs. F The number of <t>CD112</t> + neutrophils in the gut epithelium of sham and CLP mice. Experiments were performed 2 times, and all data were used for analysis. Data are expressed as mean ± SEM (n = 4 samples/group) and compared by paired two-tailed Student’s t test. P value: 1.11E-2. *p < 0.05 vs. Sham. Neutrophils were incubated with IELs and LPS in the presence of a vehicle (PBS, Veh.), isotype control (Iso.), or 10 μg/mL anti-CD112 Ab for 12 h to evaluate NETs by flow cytometry. G Representative dot plots following the gating strategy of NETs in Fig. and H frequency of NETs + neutrophils are shown. Experiments were performed 2 times, and all data were used for analysis. Data are expressed as mean ± SEM (n = 5 samples/group) and compared by one-way ANOVA and SNK test. P values based on the order of appearance: 6.21E-3, 2.52E-2. *p < 0.05 vs. Veh., # p < 0.05 vs. Iso. CLP cecal ligation and puncture.
Anti Cd112 Ab, supplied by R&D Systems, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


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

PVR and Nectin2 are mainly found as intracellular pool in MM cells. ( a ) CD38 + CD138 + malignant PCs derived from BM aspirates of MM patients (n = 34) were analysed for PVR and Nectin2 surface and total (surface plus intracellular) expression before and after fixation and permeabilization, respectively. Cells were acquired using FACSCanto flow cytometer (BD Biosciences). Each dot represents a single patient, ****p < 0.001, Wilcoxon matched pairs test. ( b ) PVR (left panel) and Nectin2 (right panel) surface and total (surface plus intracellular) expression was analysed on MM cell lines before and after fixation and permeabilization, respectively. Cells were acquired using FACSCalibur flow cytometer (BD Biosciences). Data represent the means ± SD of PVR and Nectin2 from three independent experiments. *p < 0.05, Student T test. MFI: mean fluorescence intensity.

Journal: Scientific Reports

Article Title: Innate immune activating ligand SUMOylation affects tumor cell recognition by NK cells

doi: 10.1038/s41598-017-10403-0

Figure Lengend Snippet: PVR and Nectin2 are mainly found as intracellular pool in MM cells. ( a ) CD38 + CD138 + malignant PCs derived from BM aspirates of MM patients (n = 34) were analysed for PVR and Nectin2 surface and total (surface plus intracellular) expression before and after fixation and permeabilization, respectively. Cells were acquired using FACSCanto flow cytometer (BD Biosciences). Each dot represents a single patient, ****p < 0.001, Wilcoxon matched pairs test. ( b ) PVR (left panel) and Nectin2 (right panel) surface and total (surface plus intracellular) expression was analysed on MM cell lines before and after fixation and permeabilization, respectively. Cells were acquired using FACSCalibur flow cytometer (BD Biosciences). Data represent the means ± SD of PVR and Nectin2 from three independent experiments. *p < 0.05, Student T test. MFI: mean fluorescence intensity.

Article Snippet: Surface ligands expression on patient-derived PCs was evaluated by means of PE-conjugated anti-PVR mAb (Biolegend, SKII.4), and APC-conjugated anti-Nectin2 mAb (R&D Systems, FAB2229A) after gating on the CD38 + CD138 + PC population.

Techniques: Derivative Assay, Expressing, Flow Cytometry, Fluorescence

SUMOylation controls PVR but not Nectin2 surface expression in MM cell lines. ( a–c ) Inhibition of the SUMO pathway was achieved by means of overnight treatment with 25μg/mL Ginkgolic Acid (GA). The efficacy of treatment was verified by means of western blot analysis on total cell lysates ( a ). ( b , c ) PVR and Nectin2 surface expression was evaluated on ARK and OPM2 cell lines by immunofluorescence and FACS analysis using FACSCalibur flow cytometer (BD Biosciences). One out of three independent experiments ( b ) and means ± SD of PVR and Nectin2 MFI from three independent experiments ( c ) are shown. **p < 0.01, ***p < 0.001, Two-way ANOVA. ( d–f ) Inhibition of the SUMO pathway was achieved by means of UBC9 gene silencing. Silencing efficiency was verified by means of western blot analysis on total cell lysates ( d ). ( e , f ) PVR and Nectin2 surface expression was evaluated on ARK and OPM2 cell lines by immunofluorescence and FACS analysis using FACSCanto flow cytometer (BD Biosciences). One out of three independent experiments ( e ) and means ± SD of PVR and Nectin2 MFI from three independent experiments ( f ) are shown. **p < 0.01, ***p < 0.001, Two-way ANOVA.

Journal: Scientific Reports

Article Title: Innate immune activating ligand SUMOylation affects tumor cell recognition by NK cells

doi: 10.1038/s41598-017-10403-0

Figure Lengend Snippet: SUMOylation controls PVR but not Nectin2 surface expression in MM cell lines. ( a–c ) Inhibition of the SUMO pathway was achieved by means of overnight treatment with 25μg/mL Ginkgolic Acid (GA). The efficacy of treatment was verified by means of western blot analysis on total cell lysates ( a ). ( b , c ) PVR and Nectin2 surface expression was evaluated on ARK and OPM2 cell lines by immunofluorescence and FACS analysis using FACSCalibur flow cytometer (BD Biosciences). One out of three independent experiments ( b ) and means ± SD of PVR and Nectin2 MFI from three independent experiments ( c ) are shown. **p < 0.01, ***p < 0.001, Two-way ANOVA. ( d–f ) Inhibition of the SUMO pathway was achieved by means of UBC9 gene silencing. Silencing efficiency was verified by means of western blot analysis on total cell lysates ( d ). ( e , f ) PVR and Nectin2 surface expression was evaluated on ARK and OPM2 cell lines by immunofluorescence and FACS analysis using FACSCanto flow cytometer (BD Biosciences). One out of three independent experiments ( e ) and means ± SD of PVR and Nectin2 MFI from three independent experiments ( f ) are shown. **p < 0.01, ***p < 0.001, Two-way ANOVA.

Article Snippet: Surface ligands expression on patient-derived PCs was evaluated by means of PE-conjugated anti-PVR mAb (Biolegend, SKII.4), and APC-conjugated anti-Nectin2 mAb (R&D Systems, FAB2229A) after gating on the CD38 + CD138 + PC population.

Techniques: Expressing, Inhibition, Western Blot, Immunofluorescence, Flow Cytometry

Ginkgolic Acid treatment up-regulates PVR but not Nectin2 surface expression in malignant PCs. Malignant PCs were treated overnight with 25 μg/mL of GA or vehicle alone (DMSO), and PVR ( a ) and Nectin2 ( b ) surface expression was evaluated on cells gated as in Supplementary Fig. . Data from two representative patients are shown in left panels. Data from 9 patients analysed are shown in right panels. Each dot represents a single patient. ***p < 0.001 Wilcoxon matched pairs test.

Journal: Scientific Reports

Article Title: Innate immune activating ligand SUMOylation affects tumor cell recognition by NK cells

doi: 10.1038/s41598-017-10403-0

Figure Lengend Snippet: Ginkgolic Acid treatment up-regulates PVR but not Nectin2 surface expression in malignant PCs. Malignant PCs were treated overnight with 25 μg/mL of GA or vehicle alone (DMSO), and PVR ( a ) and Nectin2 ( b ) surface expression was evaluated on cells gated as in Supplementary Fig. . Data from two representative patients are shown in left panels. Data from 9 patients analysed are shown in right panels. Each dot represents a single patient. ***p < 0.001 Wilcoxon matched pairs test.

Article Snippet: Surface ligands expression on patient-derived PCs was evaluated by means of PE-conjugated anti-PVR mAb (Biolegend, SKII.4), and APC-conjugated anti-Nectin2 mAb (R&D Systems, FAB2229A) after gating on the CD38 + CD138 + PC population.

Techniques: Expressing

a We examined the immune checkpoint interactions between lymphocytes and APCs (tumor cells and TAMs) and identified the prominent interaction via the TIGIT – NECTIN2 axis (circle size indicates the statistical significance and circle color indicates the level of interaction). The empirical P value was estimated by 1000 imputations. b The expression of TIGIT and NECTIN2 was respectively enriched in T cells and APCs. c Upregulation of NECTIN2 was detected in HCC tumors, as compared to non-tumorous livers in both in-house and TCGA datasets. Student’s t test (2-sided). Source data are provided as a Source Data file.

Journal: Nature Communications

Article Title: Single-cell RNA sequencing shows the immunosuppressive landscape and tumor heterogeneity of HBV-associated hepatocellular carcinoma

doi: 10.1038/s41467-021-24010-1

Figure Lengend Snippet: a We examined the immune checkpoint interactions between lymphocytes and APCs (tumor cells and TAMs) and identified the prominent interaction via the TIGIT – NECTIN2 axis (circle size indicates the statistical significance and circle color indicates the level of interaction). The empirical P value was estimated by 1000 imputations. b The expression of TIGIT and NECTIN2 was respectively enriched in T cells and APCs. c Upregulation of NECTIN2 was detected in HCC tumors, as compared to non-tumorous livers in both in-house and TCGA datasets. Student’s t test (2-sided). Source data are provided as a Source Data file.

Article Snippet: In the coculturing experiment of T and parental Hepa1–6 cells, 15 μg/mL anti-Nectin2 neutralizing antibody (MAB3869, R&D Systems, MN, USA) (Supplementary Table ) was added.

Techniques: Expressing

a CellTrace Violet (CTV)-labeled mouse splenic T cells were isolated and co-cultured with Hepa1–6 cells in the presence or absence of anti-Nectin2 neutralizing antibody (15 µg/mL). Mean ± SD is presented. b CTV-labeled T cells were cocultured with Hepa1–6 (WT), - Nectin2 -KO1, - Nectin2 -KO2, - Nectin2 -KO3 cells. Mean ± SD is presented. c Representative picture and weight of Nectin2 WT ( Nectin2 WT: Tp53 KO: c-Myc OE), and Nectin2 KO ( Nectin2 KO: Tp53 KO: c-Myc OE) HCC tumors. Scale bar = 1 cm. d – f Numbers of tumor-infiltrating lymphocytes were analyzed by flow cytometry. g , h Representative pictures, and quantification of CD4 + T cells and CD8 + T cells in HCC tumors by IHC staining. Scale bar = 100μm in IHC representative pictures. a – h Student’s t test. The experiment was performed with a variable number of biologically independent samples ( n number) ( a n = 6, n = 3, and n = 3 for T cells only Ctrl and anti-Nectin2 respectively in CD4+ cells, and n = 3 for all groups in CD8+ cells; b n = 10, n = 6, n = 4, and n = 4 for WT, Nectin2 -KO1, Nectin2 -KO2, and Nectin2 -KO3, respectively in both CD4+ and CD8+ cells; c – e , g : n = 7 per group; f , h : n = 21 per group). Source data are provided as a Source Data file.

Journal: Nature Communications

Article Title: Single-cell RNA sequencing shows the immunosuppressive landscape and tumor heterogeneity of HBV-associated hepatocellular carcinoma

doi: 10.1038/s41467-021-24010-1

Figure Lengend Snippet: a CellTrace Violet (CTV)-labeled mouse splenic T cells were isolated and co-cultured with Hepa1–6 cells in the presence or absence of anti-Nectin2 neutralizing antibody (15 µg/mL). Mean ± SD is presented. b CTV-labeled T cells were cocultured with Hepa1–6 (WT), - Nectin2 -KO1, - Nectin2 -KO2, - Nectin2 -KO3 cells. Mean ± SD is presented. c Representative picture and weight of Nectin2 WT ( Nectin2 WT: Tp53 KO: c-Myc OE), and Nectin2 KO ( Nectin2 KO: Tp53 KO: c-Myc OE) HCC tumors. Scale bar = 1 cm. d – f Numbers of tumor-infiltrating lymphocytes were analyzed by flow cytometry. g , h Representative pictures, and quantification of CD4 + T cells and CD8 + T cells in HCC tumors by IHC staining. Scale bar = 100μm in IHC representative pictures. a – h Student’s t test. The experiment was performed with a variable number of biologically independent samples ( n number) ( a n = 6, n = 3, and n = 3 for T cells only Ctrl and anti-Nectin2 respectively in CD4+ cells, and n = 3 for all groups in CD8+ cells; b n = 10, n = 6, n = 4, and n = 4 for WT, Nectin2 -KO1, Nectin2 -KO2, and Nectin2 -KO3, respectively in both CD4+ and CD8+ cells; c – e , g : n = 7 per group; f , h : n = 21 per group). Source data are provided as a Source Data file.

Article Snippet: In the coculturing experiment of T and parental Hepa1–6 cells, 15 μg/mL anti-Nectin2 neutralizing antibody (MAB3869, R&D Systems, MN, USA) (Supplementary Table ) was added.

Techniques: Labeling, Isolation, Cell Culture, Flow Cytometry, Immunohistochemistry

WT mice were subjected to CLP and the small intestines were harvested after 20 h. A The number (no.) of neutrophils in the gut epithelium. Experiments were performed 2 times, and all data were used for analysis. Data are expressed as mean ± SEM (n = 4 samples/group) and compared by paired two-tailed Student’s t test. P value: 1.11E-2. *p < 0.05 vs. Sham. B Representative microscopic images of the gut epithelium (original magnification, ×630; scale bar: 10 μm). Experiments were performed 3 times, and representative images are shown. Bone marrow - derived neutrophils (PMNs) were treated with or without LPS in the presence and absence of intraepithelial lymphocytes (IELs) at 1:1 ratio for 12 h to evaluate NETs. C Representative microscopic images from 3 independent experiments are shown (original magnification, ×200; scale bar: 100 μm). Ly6G (purple) serves as a neutrophil marker. D Representative dot plots following the gating strategy of NETs in Fig. and E frequency of NETs + (Cit-H3 + MPO + ) neutrophils assessed by flow cytometry are shown. Experiments were performed 3 times, and all data were used for analysis. Data are expressed as mean ± SEM (n = 6 samples/group) and compared by one-way ANOVA and SNK test. P values based on the order of appearance: 3.02E-7, 1.42E-6, 4.15E-5. *p < 0.05 vs. PBS, # p < 0.05 vs. LPS, † p < 0 . 05 vs. PBS+IELs. F The number of CD112 + neutrophils in the gut epithelium of sham and CLP mice. Experiments were performed 2 times, and all data were used for analysis. Data are expressed as mean ± SEM (n = 4 samples/group) and compared by paired two-tailed Student’s t test. P value: 1.11E-2. *p < 0.05 vs. Sham. Neutrophils were incubated with IELs and LPS in the presence of a vehicle (PBS, Veh.), isotype control (Iso.), or 10 μg/mL anti-CD112 Ab for 12 h to evaluate NETs by flow cytometry. G Representative dot plots following the gating strategy of NETs in Fig. and H frequency of NETs + neutrophils are shown. Experiments were performed 2 times, and all data were used for analysis. Data are expressed as mean ± SEM (n = 5 samples/group) and compared by one-way ANOVA and SNK test. P values based on the order of appearance: 6.21E-3, 2.52E-2. *p < 0.05 vs. Veh., # p < 0.05 vs. Iso. CLP cecal ligation and puncture.

Journal: Nature Communications

Article Title: Gut-primed neutrophils activate Kupffer cells to promote hepatic injury in mouse sepsis

doi: 10.1038/s41467-025-65572-8

Figure Lengend Snippet: WT mice were subjected to CLP and the small intestines were harvested after 20 h. A The number (no.) of neutrophils in the gut epithelium. Experiments were performed 2 times, and all data were used for analysis. Data are expressed as mean ± SEM (n = 4 samples/group) and compared by paired two-tailed Student’s t test. P value: 1.11E-2. *p < 0.05 vs. Sham. B Representative microscopic images of the gut epithelium (original magnification, ×630; scale bar: 10 μm). Experiments were performed 3 times, and representative images are shown. Bone marrow - derived neutrophils (PMNs) were treated with or without LPS in the presence and absence of intraepithelial lymphocytes (IELs) at 1:1 ratio for 12 h to evaluate NETs. C Representative microscopic images from 3 independent experiments are shown (original magnification, ×200; scale bar: 100 μm). Ly6G (purple) serves as a neutrophil marker. D Representative dot plots following the gating strategy of NETs in Fig. and E frequency of NETs + (Cit-H3 + MPO + ) neutrophils assessed by flow cytometry are shown. Experiments were performed 3 times, and all data were used for analysis. Data are expressed as mean ± SEM (n = 6 samples/group) and compared by one-way ANOVA and SNK test. P values based on the order of appearance: 3.02E-7, 1.42E-6, 4.15E-5. *p < 0.05 vs. PBS, # p < 0.05 vs. LPS, † p < 0 . 05 vs. PBS+IELs. F The number of CD112 + neutrophils in the gut epithelium of sham and CLP mice. Experiments were performed 2 times, and all data were used for analysis. Data are expressed as mean ± SEM (n = 4 samples/group) and compared by paired two-tailed Student’s t test. P value: 1.11E-2. *p < 0.05 vs. Sham. Neutrophils were incubated with IELs and LPS in the presence of a vehicle (PBS, Veh.), isotype control (Iso.), or 10 μg/mL anti-CD112 Ab for 12 h to evaluate NETs by flow cytometry. G Representative dot plots following the gating strategy of NETs in Fig. and H frequency of NETs + neutrophils are shown. Experiments were performed 2 times, and all data were used for analysis. Data are expressed as mean ± SEM (n = 5 samples/group) and compared by one-way ANOVA and SNK test. P values based on the order of appearance: 6.21E-3, 2.52E-2. *p < 0.05 vs. Veh., # p < 0.05 vs. Iso. CLP cecal ligation and puncture.

Article Snippet: Neutrophils incubated with IELs and LPS were also treated with a vehicle (PBS), isotype control, or 10 μg/mL anti-CD112 Ab (Cat. No.: MAB3869; R&D Systems, Minneapolis, MN).

Techniques: Two Tailed Test, Derivative Assay, Marker, Flow Cytometry, Incubation, Control, Ligation

During sepsis, neutrophils interact with IELs via CD112 in the gut, resulting in increased NETosis via PAD4-mediated histone citrullination (Cit). NET-forming neutrophils migrate from the gut into the liver and activate PAR-1 on Kupffer cells by NET-contained proteases, such as NE. NET-activated Kupffer cells polarize to an iNOS-expressing M1 phenotype and produce proinflammatory mediators, such as IL-6 and TNF. This gut-liver crosstalk mediated by immune cells leads to sepsis-induced liver injury. PAD4, protein-arginine deiminase type-4; NET, neutrophil extracellular trap; PAR-1, protease-activated receptor-1; NE, neutrophil elastase; iNOS, inducible nitric oxide synthase. Created in BioRender. Murao, A. (2025) https://BioRender.com/fhkfis3 .

Journal: Nature Communications

Article Title: Gut-primed neutrophils activate Kupffer cells to promote hepatic injury in mouse sepsis

doi: 10.1038/s41467-025-65572-8

Figure Lengend Snippet: During sepsis, neutrophils interact with IELs via CD112 in the gut, resulting in increased NETosis via PAD4-mediated histone citrullination (Cit). NET-forming neutrophils migrate from the gut into the liver and activate PAR-1 on Kupffer cells by NET-contained proteases, such as NE. NET-activated Kupffer cells polarize to an iNOS-expressing M1 phenotype and produce proinflammatory mediators, such as IL-6 and TNF. This gut-liver crosstalk mediated by immune cells leads to sepsis-induced liver injury. PAD4, protein-arginine deiminase type-4; NET, neutrophil extracellular trap; PAR-1, protease-activated receptor-1; NE, neutrophil elastase; iNOS, inducible nitric oxide synthase. Created in BioRender. Murao, A. (2025) https://BioRender.com/fhkfis3 .

Article Snippet: Neutrophils incubated with IELs and LPS were also treated with a vehicle (PBS), isotype control, or 10 μg/mL anti-CD112 Ab (Cat. No.: MAB3869; R&D Systems, Minneapolis, MN).

Techniques: Expressing