thp 1 cells Search Results


95
CLS Cell Lines Service GmbH thp 1 cells
Thp 1 Cells, supplied by CLS Cell Lines Service GmbH, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Elabscience Biotechnology thp 1 cells
FAM111B promotes the malignant progression of LGG through immunosuppression. (A) The protein expression of AKT, p-AKT, P53 and CD276 in FAM111B knockdown or overexpression LN229 and A172 cells were detected by Western blot analysis. (B) Representative bioluminescence images of FAM111B overexpression LN229 and control cells derived xenografts (n=6). (C,D) IL-10 cytokines concentration of supernatant <t>in</t> <t>THP-1</t> cells and LN229 or A172 co-culture system, detected by ELISA. (E) Immunofluorescence for CD163 and iNOS expression to detect macrophages in glioma tissue from control and FAM111B overexpression mice. Two-tailed Student’s test, *, P<0.05; **, P<0.01; ***, P<0.001. DAPI, 4',6-diamidino-2-phenylindole; ELISA, enzyme linked immunosorbent assay; FAM111B, FAM111 trypsin-like peptidase B; IL-10, interleukin-10; iNOS, inducible nitric oxide synthase; LGG, lower-grade glioma; NC, negative control; OE-FAM111B, overexpression of FAM111B; siFAM111B, small interfering RNA targeting FAM111B; THP-1, tumor-derived human promonocytic cell line-1; WT, wild-type.
Thp 1 Cells, supplied by Elabscience Biotechnology, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Santa Cruz Biotechnology thp 1 cells
FAM111B promotes the malignant progression of LGG through immunosuppression. (A) The protein expression of AKT, p-AKT, P53 and CD276 in FAM111B knockdown or overexpression LN229 and A172 cells were detected by Western blot analysis. (B) Representative bioluminescence images of FAM111B overexpression LN229 and control cells derived xenografts (n=6). (C,D) IL-10 cytokines concentration of supernatant <t>in</t> <t>THP-1</t> cells and LN229 or A172 co-culture system, detected by ELISA. (E) Immunofluorescence for CD163 and iNOS expression to detect macrophages in glioma tissue from control and FAM111B overexpression mice. Two-tailed Student’s test, *, P<0.05; **, P<0.01; ***, P<0.001. DAPI, 4',6-diamidino-2-phenylindole; ELISA, enzyme linked immunosorbent assay; FAM111B, FAM111 trypsin-like peptidase B; IL-10, interleukin-10; iNOS, inducible nitric oxide synthase; LGG, lower-grade glioma; NC, negative control; OE-FAM111B, overexpression of FAM111B; siFAM111B, small interfering RNA targeting FAM111B; THP-1, tumor-derived human promonocytic cell line-1; WT, wild-type.
Thp 1 Cells, supplied by Santa Cruz Biotechnology, 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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Elabscience Biotechnology thp 1 cell culture medium
FAM111B promotes the malignant progression of LGG through immunosuppression. (A) The protein expression of AKT, p-AKT, P53 and CD276 in FAM111B knockdown or overexpression LN229 and A172 cells were detected by Western blot analysis. (B) Representative bioluminescence images of FAM111B overexpression LN229 and control cells derived xenografts (n=6). (C,D) IL-10 cytokines concentration of supernatant <t>in</t> <t>THP-1</t> cells and LN229 or A172 co-culture system, detected by ELISA. (E) Immunofluorescence for CD163 and iNOS expression to detect macrophages in glioma tissue from control and FAM111B overexpression mice. Two-tailed Student’s test, *, P<0.05; **, P<0.01; ***, P<0.001. DAPI, 4',6-diamidino-2-phenylindole; ELISA, enzyme linked immunosorbent assay; FAM111B, FAM111 trypsin-like peptidase B; IL-10, interleukin-10; iNOS, inducible nitric oxide synthase; LGG, lower-grade glioma; NC, negative control; OE-FAM111B, overexpression of FAM111B; siFAM111B, small interfering RNA targeting FAM111B; THP-1, tumor-derived human promonocytic cell line-1; WT, wild-type.
Thp 1 Cell Culture Medium, supplied by Elabscience Biotechnology, 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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BPS Bioscience thp 1 cells
FAM111B promotes the malignant progression of LGG through immunosuppression. (A) The protein expression of AKT, p-AKT, P53 and CD276 in FAM111B knockdown or overexpression LN229 and A172 cells were detected by Western blot analysis. (B) Representative bioluminescence images of FAM111B overexpression LN229 and control cells derived xenografts (n=6). (C,D) IL-10 cytokines concentration of supernatant <t>in</t> <t>THP-1</t> cells and LN229 or A172 co-culture system, detected by ELISA. (E) Immunofluorescence for CD163 and iNOS expression to detect macrophages in glioma tissue from control and FAM111B overexpression mice. Two-tailed Student’s test, *, P<0.05; **, P<0.01; ***, P<0.001. DAPI, 4',6-diamidino-2-phenylindole; ELISA, enzyme linked immunosorbent assay; FAM111B, FAM111 trypsin-like peptidase B; IL-10, interleukin-10; iNOS, inducible nitric oxide synthase; LGG, lower-grade glioma; NC, negative control; OE-FAM111B, overexpression of FAM111B; siFAM111B, small interfering RNA targeting FAM111B; THP-1, tumor-derived human promonocytic cell line-1; WT, wild-type.
Thp 1 Cells, supplied by BPS Bioscience, 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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BPS Bioscience nf κb reporter luc hct 116
FAM111B promotes the malignant progression of LGG through immunosuppression. (A) The protein expression of AKT, p-AKT, P53 and CD276 in FAM111B knockdown or overexpression LN229 and A172 cells were detected by Western blot analysis. (B) Representative bioluminescence images of FAM111B overexpression LN229 and control cells derived xenografts (n=6). (C,D) IL-10 cytokines concentration of supernatant <t>in</t> <t>THP-1</t> cells and LN229 or A172 co-culture system, detected by ELISA. (E) Immunofluorescence for CD163 and iNOS expression to detect macrophages in glioma tissue from control and FAM111B overexpression mice. Two-tailed Student’s test, *, P<0.05; **, P<0.01; ***, P<0.001. DAPI, 4',6-diamidino-2-phenylindole; ELISA, enzyme linked immunosorbent assay; FAM111B, FAM111 trypsin-like peptidase B; IL-10, interleukin-10; iNOS, inducible nitric oxide synthase; LGG, lower-grade glioma; NC, negative control; OE-FAM111B, overexpression of FAM111B; siFAM111B, small interfering RNA targeting FAM111B; THP-1, tumor-derived human promonocytic cell line-1; WT, wild-type.
Nf κb Reporter Luc Hct 116, supplied by BPS Bioscience, 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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86
Procell Inc macrophages
Single‐cell RNA sequencing analysis of aortic immune and stromal cells in ApoE −/− mice with AngII infusion and SOST ki .ApoE −/− mice with AngII infusion. (A) UMAP plot showing cell clusters identified by the Leiden algorithm, labeled 0 to 12, representing diverse cellular populations in aortic tissue. (B) Cell type annotation based on canonical markers, identifying major populations including <t>macrophages,</t> fibroblasts, endothelial cells, smooth muscle cells, T cells, B cells, and Schwann cells (left), as well as subdividing major populations into specific subtypes such as M1‐like pro‐inflammatory and M2‐like anti‐inflammatory macrophages, multiple endothelial subtypes, and multiple fibroblast subtypes (right). (C) Dot plot showing expression of selected marker gene across identified clusters. Dot size represented the percentage of cells in each cluster expressing the gene, while color intensity indicated the mean expression level. (D) UMAP plots showing the expression of genes including S100a8, Trem2, S100a4, Mrc1, and Rpl37 across macrophage clusters. (E) Violin plots showing expression distribution of marker genes (S100a8, Trem2, S100a4, Mrc1, and Rpl37) across macrophage clusters based on Leiden clustering. (F) UMAP plot of macrophage subtypes M1‐like 1, M1‐like 2, M2‐like, Res‐like 1, and Res‐like 2, based on manual annotation. Note: Clusters 0, 1, 2, 3, and 4 represented the following macrophage sub‐types: Cluster 0: M1‐like 1, Cluster 1: M1‐like 2, Cluster 2: M2‐like, Cluster 3: Res‐like 1, and Cluster 4: Res‐like 2. (G) Dot plot summarizing the expression of key marker genes (S100a8, Trem2, S100a4, Mrc1, and Rpl37) across macrophage subtypes. Dot size represented the fraction of cells expressing each gene, while color intensity indicated mean expression. (H) Dot plot of the TOP 5 highly expressed genes across macrophage subtypes. Dot size indicated the fraction of cells expressing each gene, and color intensity represented mean expression.
Macrophages, supplied by Procell Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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BPS Bioscience nfat luciferase reporter
Single‐cell RNA sequencing analysis of aortic immune and stromal cells in ApoE −/− mice with AngII infusion and SOST ki .ApoE −/− mice with AngII infusion. (A) UMAP plot showing cell clusters identified by the Leiden algorithm, labeled 0 to 12, representing diverse cellular populations in aortic tissue. (B) Cell type annotation based on canonical markers, identifying major populations including <t>macrophages,</t> fibroblasts, endothelial cells, smooth muscle cells, T cells, B cells, and Schwann cells (left), as well as subdividing major populations into specific subtypes such as M1‐like pro‐inflammatory and M2‐like anti‐inflammatory macrophages, multiple endothelial subtypes, and multiple fibroblast subtypes (right). (C) Dot plot showing expression of selected marker gene across identified clusters. Dot size represented the percentage of cells in each cluster expressing the gene, while color intensity indicated the mean expression level. (D) UMAP plots showing the expression of genes including S100a8, Trem2, S100a4, Mrc1, and Rpl37 across macrophage clusters. (E) Violin plots showing expression distribution of marker genes (S100a8, Trem2, S100a4, Mrc1, and Rpl37) across macrophage clusters based on Leiden clustering. (F) UMAP plot of macrophage subtypes M1‐like 1, M1‐like 2, M2‐like, Res‐like 1, and Res‐like 2, based on manual annotation. Note: Clusters 0, 1, 2, 3, and 4 represented the following macrophage sub‐types: Cluster 0: M1‐like 1, Cluster 1: M1‐like 2, Cluster 2: M2‐like, Cluster 3: Res‐like 1, and Cluster 4: Res‐like 2. (G) Dot plot summarizing the expression of key marker genes (S100a8, Trem2, S100a4, Mrc1, and Rpl37) across macrophage subtypes. Dot size represented the fraction of cells expressing each gene, while color intensity indicated mean expression. (H) Dot plot of the TOP 5 highly expressed genes across macrophage subtypes. Dot size indicated the fraction of cells expressing each gene, and color intensity represented mean expression.
Nfat Luciferase Reporter, supplied by BPS Bioscience, 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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Angio-Proteomie thp 1 cells expressing gfp
Single‐cell RNA sequencing analysis of aortic immune and stromal cells in ApoE −/− mice with AngII infusion and SOST ki .ApoE −/− mice with AngII infusion. (A) UMAP plot showing cell clusters identified by the Leiden algorithm, labeled 0 to 12, representing diverse cellular populations in aortic tissue. (B) Cell type annotation based on canonical markers, identifying major populations including <t>macrophages,</t> fibroblasts, endothelial cells, smooth muscle cells, T cells, B cells, and Schwann cells (left), as well as subdividing major populations into specific subtypes such as M1‐like pro‐inflammatory and M2‐like anti‐inflammatory macrophages, multiple endothelial subtypes, and multiple fibroblast subtypes (right). (C) Dot plot showing expression of selected marker gene across identified clusters. Dot size represented the percentage of cells in each cluster expressing the gene, while color intensity indicated the mean expression level. (D) UMAP plots showing the expression of genes including S100a8, Trem2, S100a4, Mrc1, and Rpl37 across macrophage clusters. (E) Violin plots showing expression distribution of marker genes (S100a8, Trem2, S100a4, Mrc1, and Rpl37) across macrophage clusters based on Leiden clustering. (F) UMAP plot of macrophage subtypes M1‐like 1, M1‐like 2, M2‐like, Res‐like 1, and Res‐like 2, based on manual annotation. Note: Clusters 0, 1, 2, 3, and 4 represented the following macrophage sub‐types: Cluster 0: M1‐like 1, Cluster 1: M1‐like 2, Cluster 2: M2‐like, Cluster 3: Res‐like 1, and Cluster 4: Res‐like 2. (G) Dot plot summarizing the expression of key marker genes (S100a8, Trem2, S100a4, Mrc1, and Rpl37) across macrophage subtypes. Dot size represented the fraction of cells expressing each gene, while color intensity indicated mean expression. (H) Dot plot of the TOP 5 highly expressed genes across macrophage subtypes. Dot size indicated the fraction of cells expressing each gene, and color intensity represented mean expression.
Thp 1 Cells Expressing Gfp, supplied by Angio-Proteomie, 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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86
Servicebio Inc thp1 cells
Single‐cell RNA sequencing analysis of aortic immune and stromal cells in ApoE −/− mice with AngII infusion and SOST ki .ApoE −/− mice with AngII infusion. (A) UMAP plot showing cell clusters identified by the Leiden algorithm, labeled 0 to 12, representing diverse cellular populations in aortic tissue. (B) Cell type annotation based on canonical markers, identifying major populations including <t>macrophages,</t> fibroblasts, endothelial cells, smooth muscle cells, T cells, B cells, and Schwann cells (left), as well as subdividing major populations into specific subtypes such as M1‐like pro‐inflammatory and M2‐like anti‐inflammatory macrophages, multiple endothelial subtypes, and multiple fibroblast subtypes (right). (C) Dot plot showing expression of selected marker gene across identified clusters. Dot size represented the percentage of cells in each cluster expressing the gene, while color intensity indicated the mean expression level. (D) UMAP plots showing the expression of genes including S100a8, Trem2, S100a4, Mrc1, and Rpl37 across macrophage clusters. (E) Violin plots showing expression distribution of marker genes (S100a8, Trem2, S100a4, Mrc1, and Rpl37) across macrophage clusters based on Leiden clustering. (F) UMAP plot of macrophage subtypes M1‐like 1, M1‐like 2, M2‐like, Res‐like 1, and Res‐like 2, based on manual annotation. Note: Clusters 0, 1, 2, 3, and 4 represented the following macrophage sub‐types: Cluster 0: M1‐like 1, Cluster 1: M1‐like 2, Cluster 2: M2‐like, Cluster 3: Res‐like 1, and Cluster 4: Res‐like 2. (G) Dot plot summarizing the expression of key marker genes (S100a8, Trem2, S100a4, Mrc1, and Rpl37) across macrophage subtypes. Dot size represented the fraction of cells expressing each gene, while color intensity indicated mean expression. (H) Dot plot of the TOP 5 highly expressed genes across macrophage subtypes. Dot size indicated the fraction of cells expressing each gene, and color intensity represented mean expression.
Thp1 Cells, supplied by Servicebio Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Lonza suspension cell line thp-1
Single‐cell RNA sequencing analysis of aortic immune and stromal cells in ApoE −/− mice with AngII infusion and SOST ki .ApoE −/− mice with AngII infusion. (A) UMAP plot showing cell clusters identified by the Leiden algorithm, labeled 0 to 12, representing diverse cellular populations in aortic tissue. (B) Cell type annotation based on canonical markers, identifying major populations including <t>macrophages,</t> fibroblasts, endothelial cells, smooth muscle cells, T cells, B cells, and Schwann cells (left), as well as subdividing major populations into specific subtypes such as M1‐like pro‐inflammatory and M2‐like anti‐inflammatory macrophages, multiple endothelial subtypes, and multiple fibroblast subtypes (right). (C) Dot plot showing expression of selected marker gene across identified clusters. Dot size represented the percentage of cells in each cluster expressing the gene, while color intensity indicated the mean expression level. (D) UMAP plots showing the expression of genes including S100a8, Trem2, S100a4, Mrc1, and Rpl37 across macrophage clusters. (E) Violin plots showing expression distribution of marker genes (S100a8, Trem2, S100a4, Mrc1, and Rpl37) across macrophage clusters based on Leiden clustering. (F) UMAP plot of macrophage subtypes M1‐like 1, M1‐like 2, M2‐like, Res‐like 1, and Res‐like 2, based on manual annotation. Note: Clusters 0, 1, 2, 3, and 4 represented the following macrophage sub‐types: Cluster 0: M1‐like 1, Cluster 1: M1‐like 2, Cluster 2: M2‐like, Cluster 3: Res‐like 1, and Cluster 4: Res‐like 2. (G) Dot plot summarizing the expression of key marker genes (S100a8, Trem2, S100a4, Mrc1, and Rpl37) across macrophage subtypes. Dot size represented the fraction of cells expressing each gene, while color intensity indicated mean expression. (H) Dot plot of the TOP 5 highly expressed genes across macrophage subtypes. Dot size indicated the fraction of cells expressing each gene, and color intensity represented mean expression.
Suspension Cell Line Thp 1, supplied by Lonza, 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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JCRB Cell Bank thp-1 cells
Single‐cell RNA sequencing analysis of aortic immune and stromal cells in ApoE −/− mice with AngII infusion and SOST ki .ApoE −/− mice with AngII infusion. (A) UMAP plot showing cell clusters identified by the Leiden algorithm, labeled 0 to 12, representing diverse cellular populations in aortic tissue. (B) Cell type annotation based on canonical markers, identifying major populations including <t>macrophages,</t> fibroblasts, endothelial cells, smooth muscle cells, T cells, B cells, and Schwann cells (left), as well as subdividing major populations into specific subtypes such as M1‐like pro‐inflammatory and M2‐like anti‐inflammatory macrophages, multiple endothelial subtypes, and multiple fibroblast subtypes (right). (C) Dot plot showing expression of selected marker gene across identified clusters. Dot size represented the percentage of cells in each cluster expressing the gene, while color intensity indicated the mean expression level. (D) UMAP plots showing the expression of genes including S100a8, Trem2, S100a4, Mrc1, and Rpl37 across macrophage clusters. (E) Violin plots showing expression distribution of marker genes (S100a8, Trem2, S100a4, Mrc1, and Rpl37) across macrophage clusters based on Leiden clustering. (F) UMAP plot of macrophage subtypes M1‐like 1, M1‐like 2, M2‐like, Res‐like 1, and Res‐like 2, based on manual annotation. Note: Clusters 0, 1, 2, 3, and 4 represented the following macrophage sub‐types: Cluster 0: M1‐like 1, Cluster 1: M1‐like 2, Cluster 2: M2‐like, Cluster 3: Res‐like 1, and Cluster 4: Res‐like 2. (G) Dot plot summarizing the expression of key marker genes (S100a8, Trem2, S100a4, Mrc1, and Rpl37) across macrophage subtypes. Dot size represented the fraction of cells expressing each gene, while color intensity indicated mean expression. (H) Dot plot of the TOP 5 highly expressed genes across macrophage subtypes. Dot size indicated the fraction of cells expressing each gene, and color intensity represented mean expression.
Thp 1 Cells, supplied by JCRB Cell Bank, 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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Image Search Results


FAM111B promotes the malignant progression of LGG through immunosuppression. (A) The protein expression of AKT, p-AKT, P53 and CD276 in FAM111B knockdown or overexpression LN229 and A172 cells were detected by Western blot analysis. (B) Representative bioluminescence images of FAM111B overexpression LN229 and control cells derived xenografts (n=6). (C,D) IL-10 cytokines concentration of supernatant in THP-1 cells and LN229 or A172 co-culture system, detected by ELISA. (E) Immunofluorescence for CD163 and iNOS expression to detect macrophages in glioma tissue from control and FAM111B overexpression mice. Two-tailed Student’s test, *, P<0.05; **, P<0.01; ***, P<0.001. DAPI, 4',6-diamidino-2-phenylindole; ELISA, enzyme linked immunosorbent assay; FAM111B, FAM111 trypsin-like peptidase B; IL-10, interleukin-10; iNOS, inducible nitric oxide synthase; LGG, lower-grade glioma; NC, negative control; OE-FAM111B, overexpression of FAM111B; siFAM111B, small interfering RNA targeting FAM111B; THP-1, tumor-derived human promonocytic cell line-1; WT, wild-type.

Journal: Translational Cancer Research

Article Title: Pan-cancer analysis identifies FAM111B as a biomarker for immune suppression microenvironment in low-grade gliomas

doi: 10.21037/tcr-2025-1762

Figure Lengend Snippet: FAM111B promotes the malignant progression of LGG through immunosuppression. (A) The protein expression of AKT, p-AKT, P53 and CD276 in FAM111B knockdown or overexpression LN229 and A172 cells were detected by Western blot analysis. (B) Representative bioluminescence images of FAM111B overexpression LN229 and control cells derived xenografts (n=6). (C,D) IL-10 cytokines concentration of supernatant in THP-1 cells and LN229 or A172 co-culture system, detected by ELISA. (E) Immunofluorescence for CD163 and iNOS expression to detect macrophages in glioma tissue from control and FAM111B overexpression mice. Two-tailed Student’s test, *, P<0.05; **, P<0.01; ***, P<0.001. DAPI, 4',6-diamidino-2-phenylindole; ELISA, enzyme linked immunosorbent assay; FAM111B, FAM111 trypsin-like peptidase B; IL-10, interleukin-10; iNOS, inducible nitric oxide synthase; LGG, lower-grade glioma; NC, negative control; OE-FAM111B, overexpression of FAM111B; siFAM111B, small interfering RNA targeting FAM111B; THP-1, tumor-derived human promonocytic cell line-1; WT, wild-type.

Article Snippet: Subsequently, supernatant from THP-1 cells was collected, and the levels of interleukin-10 (IL-10) were assessed using an ELISA kit (Elabscience) to evaluate the polarization degree of macrophages.

Techniques: Expressing, Knockdown, Over Expression, Western Blot, Control, Derivative Assay, Concentration Assay, Co-Culture Assay, Enzyme-linked Immunosorbent Assay, Immunofluorescence, Two Tailed Test, Negative Control, Small Interfering RNA

Single‐cell RNA sequencing analysis of aortic immune and stromal cells in ApoE −/− mice with AngII infusion and SOST ki .ApoE −/− mice with AngII infusion. (A) UMAP plot showing cell clusters identified by the Leiden algorithm, labeled 0 to 12, representing diverse cellular populations in aortic tissue. (B) Cell type annotation based on canonical markers, identifying major populations including macrophages, fibroblasts, endothelial cells, smooth muscle cells, T cells, B cells, and Schwann cells (left), as well as subdividing major populations into specific subtypes such as M1‐like pro‐inflammatory and M2‐like anti‐inflammatory macrophages, multiple endothelial subtypes, and multiple fibroblast subtypes (right). (C) Dot plot showing expression of selected marker gene across identified clusters. Dot size represented the percentage of cells in each cluster expressing the gene, while color intensity indicated the mean expression level. (D) UMAP plots showing the expression of genes including S100a8, Trem2, S100a4, Mrc1, and Rpl37 across macrophage clusters. (E) Violin plots showing expression distribution of marker genes (S100a8, Trem2, S100a4, Mrc1, and Rpl37) across macrophage clusters based on Leiden clustering. (F) UMAP plot of macrophage subtypes M1‐like 1, M1‐like 2, M2‐like, Res‐like 1, and Res‐like 2, based on manual annotation. Note: Clusters 0, 1, 2, 3, and 4 represented the following macrophage sub‐types: Cluster 0: M1‐like 1, Cluster 1: M1‐like 2, Cluster 2: M2‐like, Cluster 3: Res‐like 1, and Cluster 4: Res‐like 2. (G) Dot plot summarizing the expression of key marker genes (S100a8, Trem2, S100a4, Mrc1, and Rpl37) across macrophage subtypes. Dot size represented the fraction of cells expressing each gene, while color intensity indicated mean expression. (H) Dot plot of the TOP 5 highly expressed genes across macrophage subtypes. Dot size indicated the fraction of cells expressing each gene, and color intensity represented mean expression.

Journal: Advanced Science

Article Title: Macrophagic Sclerostin Loop2‐ApoER2 Interaction Required by Sclerostin for Cardiovascular Protective Action

doi: 10.1002/advs.202518735

Figure Lengend Snippet: Single‐cell RNA sequencing analysis of aortic immune and stromal cells in ApoE −/− mice with AngII infusion and SOST ki .ApoE −/− mice with AngII infusion. (A) UMAP plot showing cell clusters identified by the Leiden algorithm, labeled 0 to 12, representing diverse cellular populations in aortic tissue. (B) Cell type annotation based on canonical markers, identifying major populations including macrophages, fibroblasts, endothelial cells, smooth muscle cells, T cells, B cells, and Schwann cells (left), as well as subdividing major populations into specific subtypes such as M1‐like pro‐inflammatory and M2‐like anti‐inflammatory macrophages, multiple endothelial subtypes, and multiple fibroblast subtypes (right). (C) Dot plot showing expression of selected marker gene across identified clusters. Dot size represented the percentage of cells in each cluster expressing the gene, while color intensity indicated the mean expression level. (D) UMAP plots showing the expression of genes including S100a8, Trem2, S100a4, Mrc1, and Rpl37 across macrophage clusters. (E) Violin plots showing expression distribution of marker genes (S100a8, Trem2, S100a4, Mrc1, and Rpl37) across macrophage clusters based on Leiden clustering. (F) UMAP plot of macrophage subtypes M1‐like 1, M1‐like 2, M2‐like, Res‐like 1, and Res‐like 2, based on manual annotation. Note: Clusters 0, 1, 2, 3, and 4 represented the following macrophage sub‐types: Cluster 0: M1‐like 1, Cluster 1: M1‐like 2, Cluster 2: M2‐like, Cluster 3: Res‐like 1, and Cluster 4: Res‐like 2. (G) Dot plot summarizing the expression of key marker genes (S100a8, Trem2, S100a4, Mrc1, and Rpl37) across macrophage subtypes. Dot size represented the fraction of cells expressing each gene, while color intensity indicated mean expression. (H) Dot plot of the TOP 5 highly expressed genes across macrophage subtypes. Dot size indicated the fraction of cells expressing each gene, and color intensity represented mean expression.

Article Snippet: Study 2: Determination of whether the suppressive effects of sclerostin on inflammatory responses in macrophages were dependent on ApoER2 in vitro To determine whether the suppressive effects of sclerostin on inflammatory responses in macrophages were dependent on ApoER2 in vitro, PMA (100 ng/mL, 48 h)‐induced human differentiated macrophages (THP‐1 cells, Procell Life Science & Technology, CL‐0233) and mouse macrophages (RAW 264.7 cells, ATCC, TIB‐71) were utilized.

Techniques: Single Cell, RNA Sequencing, Labeling, Expressing, Marker

Comparative analysis of distribution patterns, subtype proportions, and differentiation trajectories of macrophages between ApoE −/− mice with AngII infusion and SOST ki .ApoE −/− mice with AngII infusion. (A) UMAP plot comparing differences in transcriptional profiles and spatial distribution of aortic macrophage subtypes between ApoE −/− mice (prune) and SOST ki .ApoE −/− mice (yellow). (B) Density map showing the distribution of macrophages from aortas in ApoE −/− mice. Higher cell density was indicated by red areas. (C) Density map showing the distribution of macrophages from aortas in SOST ki .ApoE −/− mice. Higher cell density was indicated by red areas. (D) Stacked bar plot comparing the difference in proportion of macrophage subtypes between ApoE −/− mice and SOST ki .ApoE −/− mice. (E) PAGA Slingshot graph for aortic macrophages in ApoE −/− mice, indicating differentiation trajectories toward pro‐inflammatory macrophage subtypes. (F) PAGA Slingshot graph for aortic macrophages in SOST ki .ApoE −/− mice, indicating differentiation trajectories toward anti‐inflammatory macrophage subtypes. Note: Clusters 0, 1, 2, 3, and 4 represented the following macrophage sub‐types: Cluster 0: M1‐like 1, Cluster 1: M1‐like 2, Cluster 2: M2‐like, Cluster 3: Res‐like 1, and Cluster 4: Res‐like 2.

Journal: Advanced Science

Article Title: Macrophagic Sclerostin Loop2‐ApoER2 Interaction Required by Sclerostin for Cardiovascular Protective Action

doi: 10.1002/advs.202518735

Figure Lengend Snippet: Comparative analysis of distribution patterns, subtype proportions, and differentiation trajectories of macrophages between ApoE −/− mice with AngII infusion and SOST ki .ApoE −/− mice with AngII infusion. (A) UMAP plot comparing differences in transcriptional profiles and spatial distribution of aortic macrophage subtypes between ApoE −/− mice (prune) and SOST ki .ApoE −/− mice (yellow). (B) Density map showing the distribution of macrophages from aortas in ApoE −/− mice. Higher cell density was indicated by red areas. (C) Density map showing the distribution of macrophages from aortas in SOST ki .ApoE −/− mice. Higher cell density was indicated by red areas. (D) Stacked bar plot comparing the difference in proportion of macrophage subtypes between ApoE −/− mice and SOST ki .ApoE −/− mice. (E) PAGA Slingshot graph for aortic macrophages in ApoE −/− mice, indicating differentiation trajectories toward pro‐inflammatory macrophage subtypes. (F) PAGA Slingshot graph for aortic macrophages in SOST ki .ApoE −/− mice, indicating differentiation trajectories toward anti‐inflammatory macrophage subtypes. Note: Clusters 0, 1, 2, 3, and 4 represented the following macrophage sub‐types: Cluster 0: M1‐like 1, Cluster 1: M1‐like 2, Cluster 2: M2‐like, Cluster 3: Res‐like 1, and Cluster 4: Res‐like 2.

Article Snippet: Study 2: Determination of whether the suppressive effects of sclerostin on inflammatory responses in macrophages were dependent on ApoER2 in vitro To determine whether the suppressive effects of sclerostin on inflammatory responses in macrophages were dependent on ApoER2 in vitro, PMA (100 ng/mL, 48 h)‐induced human differentiated macrophages (THP‐1 cells, Procell Life Science & Technology, CL‐0233) and mouse macrophages (RAW 264.7 cells, ATCC, TIB‐71) were utilized.

Techniques:

Analysis of differential gene expression and functional pathway enrichment in macrophages between ApoE −/− mice with AngII infusion and SOST ki .ApoE −/− mice with AngII infusion. (A) Volcano plot showing differentially expressed genes (DEGs) in macrophages from SOST ki .ApoE −/− mice, compared to ApoE −/− mice. Red points represented significantly upregulated genes (116 genes) in SOST ki .ApoE −/− mice, blue points represented significantly downregulated genes (245 genes) in SOST ki .ApoE −/− mice. (B) Stacking violin plot showing expression distribution of marker genes across macrophage subtypes in ApoE −/− mice and SOST ki .ApoE −/− mice. (C) TOP 10 KEGG pathways enriched for differentially expressed genes across all macrophages between ApoE −/− mice and SOST ki .ApoE −/− mice.

Journal: Advanced Science

Article Title: Macrophagic Sclerostin Loop2‐ApoER2 Interaction Required by Sclerostin for Cardiovascular Protective Action

doi: 10.1002/advs.202518735

Figure Lengend Snippet: Analysis of differential gene expression and functional pathway enrichment in macrophages between ApoE −/− mice with AngII infusion and SOST ki .ApoE −/− mice with AngII infusion. (A) Volcano plot showing differentially expressed genes (DEGs) in macrophages from SOST ki .ApoE −/− mice, compared to ApoE −/− mice. Red points represented significantly upregulated genes (116 genes) in SOST ki .ApoE −/− mice, blue points represented significantly downregulated genes (245 genes) in SOST ki .ApoE −/− mice. (B) Stacking violin plot showing expression distribution of marker genes across macrophage subtypes in ApoE −/− mice and SOST ki .ApoE −/− mice. (C) TOP 10 KEGG pathways enriched for differentially expressed genes across all macrophages between ApoE −/− mice and SOST ki .ApoE −/− mice.

Article Snippet: Study 2: Determination of whether the suppressive effects of sclerostin on inflammatory responses in macrophages were dependent on ApoER2 in vitro To determine whether the suppressive effects of sclerostin on inflammatory responses in macrophages were dependent on ApoER2 in vitro, PMA (100 ng/mL, 48 h)‐induced human differentiated macrophages (THP‐1 cells, Procell Life Science & Technology, CL‐0233) and mouse macrophages (RAW 264.7 cells, ATCC, TIB‐71) were utilized.

Techniques: Gene Expression, Functional Assay, Expressing, Marker

The suppressive effects of sclerostin on inflammatory responses were dependent on ApoER2 in both human macrophages and mouse macrophages in vitro. (A) The mRNA expression of TNF‐α (left), MCP‐1 (middle), and IL‐10 (right) in human differentiated macrophages (THP‐1) with/without LPS (100 ng/mL) induction (n = 3 per group). (B) The medium protein levels of TNF‐α (left), MCP‐1 (middle), and IL‐10 (right) in human differentiated macrophages (THP‐1) with/without LPS (100 ng/mL) induction (n = 3 per group). (C) The mRNA expression of TNF‐α (left), MCP‐1 (middle), and IL‐10 (right) in mouse macrophages (RAW 264.7) with/without LPS (1 µg/mL) induction (n = 3 per group). (D) The medium protein levels of TNF‐α (left), MCP‐1 (middle), and IL‐10 (right) in mouse macrophages (RAW 264.7) with/without LPS (1 µg/mL) induction (n = 3 per group). Data were expressed as mean ± standard deviation. One‐way ANOVA with Tukey's post‐hoc test versus siNC+LPS group was used to determine the intergroup differences. All tests were two‐sided. ns P > 0.05, * P < 0.05, ** P < 0.01, *** P < 0.001, **** P < 0.0001 . Note: SOST: sclerostin; si Lrp8 : small interfering RNA targeting ApoER2 (encoded by Lrp8 ); siNC: negative control small interfering RNA; LPS: lipopolysaccharide; TNF‐α: tumor necrosis factor alpha; MCP‐1: monocyte chemoattractant protein‐1; IL‐10: interleukin‐10.

Journal: Advanced Science

Article Title: Macrophagic Sclerostin Loop2‐ApoER2 Interaction Required by Sclerostin for Cardiovascular Protective Action

doi: 10.1002/advs.202518735

Figure Lengend Snippet: The suppressive effects of sclerostin on inflammatory responses were dependent on ApoER2 in both human macrophages and mouse macrophages in vitro. (A) The mRNA expression of TNF‐α (left), MCP‐1 (middle), and IL‐10 (right) in human differentiated macrophages (THP‐1) with/without LPS (100 ng/mL) induction (n = 3 per group). (B) The medium protein levels of TNF‐α (left), MCP‐1 (middle), and IL‐10 (right) in human differentiated macrophages (THP‐1) with/without LPS (100 ng/mL) induction (n = 3 per group). (C) The mRNA expression of TNF‐α (left), MCP‐1 (middle), and IL‐10 (right) in mouse macrophages (RAW 264.7) with/without LPS (1 µg/mL) induction (n = 3 per group). (D) The medium protein levels of TNF‐α (left), MCP‐1 (middle), and IL‐10 (right) in mouse macrophages (RAW 264.7) with/without LPS (1 µg/mL) induction (n = 3 per group). Data were expressed as mean ± standard deviation. One‐way ANOVA with Tukey's post‐hoc test versus siNC+LPS group was used to determine the intergroup differences. All tests were two‐sided. ns P > 0.05, * P < 0.05, ** P < 0.01, *** P < 0.001, **** P < 0.0001 . Note: SOST: sclerostin; si Lrp8 : small interfering RNA targeting ApoER2 (encoded by Lrp8 ); siNC: negative control small interfering RNA; LPS: lipopolysaccharide; TNF‐α: tumor necrosis factor alpha; MCP‐1: monocyte chemoattractant protein‐1; IL‐10: interleukin‐10.

Article Snippet: Study 2: Determination of whether the suppressive effects of sclerostin on inflammatory responses in macrophages were dependent on ApoER2 in vitro To determine whether the suppressive effects of sclerostin on inflammatory responses in macrophages were dependent on ApoER2 in vitro, PMA (100 ng/mL, 48 h)‐induced human differentiated macrophages (THP‐1 cells, Procell Life Science & Technology, CL‐0233) and mouse macrophages (RAW 264.7 cells, ATCC, TIB‐71) were utilized.

Techniques: In Vitro, Expressing, Standard Deviation, Small Interfering RNA, Negative Control

Determination of the inflammatory cytokines/chemokines expression, macrophage phenotypes conversion, NF‐κB nuclear translocation/phosphorylation/expression in macrophages in vitro. (A) The mRNA expression levels of TNF‐α (left), MCP‐1 (middle), and IL‐10 (right) in mouse macrophages (RAW264.7) with LPS (1 µg/mL) induction for 18 h (n = 3 per group). (B) The medium protein levels of TNF‐α (left), MCP‐1 (middle), and IL‐10 (right) in mouse macrophages (RAW264.7) with LPS (1 µg/mL) induction for 18 h (n = 3 per group). (C) Surface markers examined by flow cytometry depict expression of CD206 and CD11b in mouse macrophages (RAW264.7) with LPS (1 µg/mL) induction for 18 h (left). Quantification of the proportion of anti‐inflammatory phenotypes (CD206 + ) (right) (n = 2 per group). (D) Representative images (left) and quantitative analysis of immunofluorescence (right) of NF‐κB (p65) nuclear translocation in mouse macrophages (RAW264.7) with LPS (1 µg/mL) induction for 15 min. Scale bar: 50 µm. The white arrows indicated the p65‐positive nuclei (n = 3 per group). (E) The protein level of phospho‐NF‐κB (p‐p65) in mouse macrophages (RAW264.7) with LPS (1 µg/mL) induction for 6 h (left). Quantification of the density of detected bands (right) (n = 2 per group). (F) The mRNA expression of NF‐κB (p65) in mouse macrophages (RAW264.7) with LPS (1 µg/mL) induction for 6 h (n = 3 per group). Data were expressed as mean ± standard deviation. One‐way ANOVA with Tukey's post‐hoc test versus LPS group was used to determine the intergroup differences. All tests were two‐sided. ns P > 0.05, * P < 0.05, ** P < 0.01, *** P < 0.001, **** P < 0.0001 . Note: SOST: sclerostin; Lrp8 : low‐density lipoprotein receptor‐related protein 8 (encoding ApoER2); LPS: lipopolysaccharide; TNF‐α: tumor necrosis factor alpha; MCP‐1: monocyte chemoatractant protein‐1; IL‐10: interleukin‐10. CD11b: alpha chain of the macrophage‐1 receptor (macrophage marker); CD206: cluster of differentiation 206, known as mannose receptor C‐type 1 (anti‐inflammatory macrophage biomarker).

Journal: Advanced Science

Article Title: Macrophagic Sclerostin Loop2‐ApoER2 Interaction Required by Sclerostin for Cardiovascular Protective Action

doi: 10.1002/advs.202518735

Figure Lengend Snippet: Determination of the inflammatory cytokines/chemokines expression, macrophage phenotypes conversion, NF‐κB nuclear translocation/phosphorylation/expression in macrophages in vitro. (A) The mRNA expression levels of TNF‐α (left), MCP‐1 (middle), and IL‐10 (right) in mouse macrophages (RAW264.7) with LPS (1 µg/mL) induction for 18 h (n = 3 per group). (B) The medium protein levels of TNF‐α (left), MCP‐1 (middle), and IL‐10 (right) in mouse macrophages (RAW264.7) with LPS (1 µg/mL) induction for 18 h (n = 3 per group). (C) Surface markers examined by flow cytometry depict expression of CD206 and CD11b in mouse macrophages (RAW264.7) with LPS (1 µg/mL) induction for 18 h (left). Quantification of the proportion of anti‐inflammatory phenotypes (CD206 + ) (right) (n = 2 per group). (D) Representative images (left) and quantitative analysis of immunofluorescence (right) of NF‐κB (p65) nuclear translocation in mouse macrophages (RAW264.7) with LPS (1 µg/mL) induction for 15 min. Scale bar: 50 µm. The white arrows indicated the p65‐positive nuclei (n = 3 per group). (E) The protein level of phospho‐NF‐κB (p‐p65) in mouse macrophages (RAW264.7) with LPS (1 µg/mL) induction for 6 h (left). Quantification of the density of detected bands (right) (n = 2 per group). (F) The mRNA expression of NF‐κB (p65) in mouse macrophages (RAW264.7) with LPS (1 µg/mL) induction for 6 h (n = 3 per group). Data were expressed as mean ± standard deviation. One‐way ANOVA with Tukey's post‐hoc test versus LPS group was used to determine the intergroup differences. All tests were two‐sided. ns P > 0.05, * P < 0.05, ** P < 0.01, *** P < 0.001, **** P < 0.0001 . Note: SOST: sclerostin; Lrp8 : low‐density lipoprotein receptor‐related protein 8 (encoding ApoER2); LPS: lipopolysaccharide; TNF‐α: tumor necrosis factor alpha; MCP‐1: monocyte chemoatractant protein‐1; IL‐10: interleukin‐10. CD11b: alpha chain of the macrophage‐1 receptor (macrophage marker); CD206: cluster of differentiation 206, known as mannose receptor C‐type 1 (anti‐inflammatory macrophage biomarker).

Article Snippet: Study 2: Determination of whether the suppressive effects of sclerostin on inflammatory responses in macrophages were dependent on ApoER2 in vitro To determine whether the suppressive effects of sclerostin on inflammatory responses in macrophages were dependent on ApoER2 in vitro, PMA (100 ng/mL, 48 h)‐induced human differentiated macrophages (THP‐1 cells, Procell Life Science & Technology, CL‐0233) and mouse macrophages (RAW 264.7 cells, ATCC, TIB‐71) were utilized.

Techniques: Expressing, Translocation Assay, Phospho-proteomics, In Vitro, Flow Cytometry, Immunofluorescence, Standard Deviation, Marker, Biomarker Discovery

Blockade of sclerostin loop2‐ApoER2 interaction by both Lrp8m and ApoER2‐Pep attenuated the suppressive effects of sclerostin on inflammatory responses in macrophages in vitro. (A) Binding analysis for the interaction of ApoER2 to full‐length sclerostin and sclerostin loop2 in macrophages (RAW264.7) by pull‐down assay. (B) The binding affinity of ApoER2 to sclerostin (upper) and sclerostin loop2 (lower), determined by biolayer interferometry (BLI) analysis. (C) Confocal microscopy examination of cell surface binding of sclerostin to ApoER2 in macrophages (RAW264.7), scale bar: 5 µm. (D) Binding analysis for the interaction of ApoER2 muteins to sclerostin loop2 by pull‐down assay. (E) Binding analysis for the interaction of ApoER2 to wild‐type SOST (SOST) and SOST loop2m in macrophages (RAW264.7) by co‐immunoprecipitation assay. (F) The binding affinity of ApoER2 to sclerostin with the pretreatment of ApoER2‐Pep peptide tool by BLI analysis. (G) The influence of Lrp8m in the effects of sclerostin on mRNA expression of TNF‐α (left), MCP‐1 (middle), and IL‐10 (right) in RAW264.7 with LPS (1 µg/mL) induction for 18 h (n = 3 per group). (H) The influence of ApoER2‐Pep in the effects of sclerostin on mRNA expression of TNF‐α (left), MCP‐1 (middle), and IL‐10 (right) in RAW264.7 with LPS (1 µg/mL) induction for 18 h (n = 3 per group). (I) The influence of Lrp8m in the effects of sclerostin on the protein levels of TNF‐α (left), MCP‐1 (middle), and IL‐10 (right) in RAW264.7 with LPS (1 µg/mL) induction for 18 h (n = 3 per group). (J) The influence of ApoER2‐Pep in the effects of sclerostin on the protein levels of TNF‐α (left), MCP‐1 (middle), and IL‐10 (right) in RAW264.7 with LPS (1 µg/mL) induction for 18 h (n = 3 per group). Data were expressed as mean ± standard deviation. The unpaired t‐test was used to determine the intergroup differences. All tests were two‐sided. ns P > 0.05, * P < 0.05, ** P < 0.01, *** P < 0.001, **** P < 0.0001 . Note: LPS: lipopolysaccharide; TNF‐α: tumor necrosis factor alpha; MCP‐1: monocyte chemoatractant protein‐1; IL‐10: interleukin‐10.

Journal: Advanced Science

Article Title: Macrophagic Sclerostin Loop2‐ApoER2 Interaction Required by Sclerostin for Cardiovascular Protective Action

doi: 10.1002/advs.202518735

Figure Lengend Snippet: Blockade of sclerostin loop2‐ApoER2 interaction by both Lrp8m and ApoER2‐Pep attenuated the suppressive effects of sclerostin on inflammatory responses in macrophages in vitro. (A) Binding analysis for the interaction of ApoER2 to full‐length sclerostin and sclerostin loop2 in macrophages (RAW264.7) by pull‐down assay. (B) The binding affinity of ApoER2 to sclerostin (upper) and sclerostin loop2 (lower), determined by biolayer interferometry (BLI) analysis. (C) Confocal microscopy examination of cell surface binding of sclerostin to ApoER2 in macrophages (RAW264.7), scale bar: 5 µm. (D) Binding analysis for the interaction of ApoER2 muteins to sclerostin loop2 by pull‐down assay. (E) Binding analysis for the interaction of ApoER2 to wild‐type SOST (SOST) and SOST loop2m in macrophages (RAW264.7) by co‐immunoprecipitation assay. (F) The binding affinity of ApoER2 to sclerostin with the pretreatment of ApoER2‐Pep peptide tool by BLI analysis. (G) The influence of Lrp8m in the effects of sclerostin on mRNA expression of TNF‐α (left), MCP‐1 (middle), and IL‐10 (right) in RAW264.7 with LPS (1 µg/mL) induction for 18 h (n = 3 per group). (H) The influence of ApoER2‐Pep in the effects of sclerostin on mRNA expression of TNF‐α (left), MCP‐1 (middle), and IL‐10 (right) in RAW264.7 with LPS (1 µg/mL) induction for 18 h (n = 3 per group). (I) The influence of Lrp8m in the effects of sclerostin on the protein levels of TNF‐α (left), MCP‐1 (middle), and IL‐10 (right) in RAW264.7 with LPS (1 µg/mL) induction for 18 h (n = 3 per group). (J) The influence of ApoER2‐Pep in the effects of sclerostin on the protein levels of TNF‐α (left), MCP‐1 (middle), and IL‐10 (right) in RAW264.7 with LPS (1 µg/mL) induction for 18 h (n = 3 per group). Data were expressed as mean ± standard deviation. The unpaired t‐test was used to determine the intergroup differences. All tests were two‐sided. ns P > 0.05, * P < 0.05, ** P < 0.01, *** P < 0.001, **** P < 0.0001 . Note: LPS: lipopolysaccharide; TNF‐α: tumor necrosis factor alpha; MCP‐1: monocyte chemoatractant protein‐1; IL‐10: interleukin‐10.

Article Snippet: Study 2: Determination of whether the suppressive effects of sclerostin on inflammatory responses in macrophages were dependent on ApoER2 in vitro To determine whether the suppressive effects of sclerostin on inflammatory responses in macrophages were dependent on ApoER2 in vitro, PMA (100 ng/mL, 48 h)‐induced human differentiated macrophages (THP‐1 cells, Procell Life Science & Technology, CL‐0233) and mouse macrophages (RAW 264.7 cells, ATCC, TIB‐71) were utilized.

Techniques: In Vitro, Binding Assay, Pull Down Assay, Confocal Microscopy, Co-Immunoprecipitation Assay, Expressing, Standard Deviation

The aortic aneurysm, atherosclerosis, and inflammatory responses in ApoE −/− mice, sost −/− .ApoE −/− mice, ApoE −/− .Lrp8m and ApoE −/− . Lrp8m/Mac‐Lrp8 mice, with AngII infusion. (A) The diagram of experimental design. (B) Representative images of aortas in ApoE −/− mice, sost −/− .ApoE −/− mice, ApoE −/− .Lrp8m and ApoE −/− . Lrp8m/Mac‐Lrp8 mice with AngII infusion (scale bars, 4 mm). (C) Bar charts of the aortic aneurysm (AA) incidence. * P < 0.05 , ** P < 0. 01 for intergroup comparison by Fisher's exact test. (D) Representative images for en face Oil Red O staining of aortic arches (upper). Quantification of atherosclerotic plaque (lower). (E) Ex vivo measurement of the maximum diameters of aortic arches and suprarenal aortas. (F) The serum levels of inflammatory cytokine (TNF‐α), chemokine (MCP‐1), and anti‐inflammatory cytokine (IL‐10). (G) Representative immunofluorescence (IF) images for expression of iNOS (green) and CD206 (red) in paraffin sections of aortic roots (white dotted line, cell nucleus: blue). Scale bar: 200 µm (*lumen). (H) Quantification of the ratio of M2 anti‐inflammatory macrophage phenotype to M1 pro‐inflammatory macrophage phenotype in paraffin sections of aortic roots. (I) Representative Immunohistochemistry (IHC) images for phospho‐NF‐κB (p‐p65) in paraffin sections of aortic roots (black dotted line). Scale bar: 200 µm (*lumen). (J) Quantification of the ratio of phospho‐NF‐κB (p‐p65)‐positive cells to total cells in paraffin sections of aortic roots. Data were expressed as mean ± standard deviation. n = 12 per group. # P < 0.05 , ## P < 0.01 , ### P < 0.001 and #### P < 0.0001 for a comparison versus ApoE −/− + saline group by unpaired t‐test. * P < 0.05 , ** P < 0. 01 , *** P < 0.001 and **** P < 0.0001 for a comparison versus ApoE −/− + AngII by one‐way ANOVA with Tukey's post‐hoc test. ^ P < 0.05 , ^^ P < 0.01 , ^^^ P < 0.001 and ^^^^ P < 0.0001 for a comparison between ApoE −/− . Lrp8m/Mac‐Lrp8 + AngII group and ApoE −/− .Lrp8m + AngII group by unpaired t‐test. All tests were two‐sided. Note: AngII: Angiotensin II; TNF‐α: tumor necrosis factor alpha; MCP‐1: monocyte chemoattractant protein‐1; IL‐10: interleukin‐10; iNOS: inducible nitric oxide synthase (pro‐inflammatory macrophages biomarker); CD206: cluster of differentiation 206, known as mannose receptor C‐type 1 (anti‐inflammatory macrophages biomarker).

Journal: Advanced Science

Article Title: Macrophagic Sclerostin Loop2‐ApoER2 Interaction Required by Sclerostin for Cardiovascular Protective Action

doi: 10.1002/advs.202518735

Figure Lengend Snippet: The aortic aneurysm, atherosclerosis, and inflammatory responses in ApoE −/− mice, sost −/− .ApoE −/− mice, ApoE −/− .Lrp8m and ApoE −/− . Lrp8m/Mac‐Lrp8 mice, with AngII infusion. (A) The diagram of experimental design. (B) Representative images of aortas in ApoE −/− mice, sost −/− .ApoE −/− mice, ApoE −/− .Lrp8m and ApoE −/− . Lrp8m/Mac‐Lrp8 mice with AngII infusion (scale bars, 4 mm). (C) Bar charts of the aortic aneurysm (AA) incidence. * P < 0.05 , ** P < 0. 01 for intergroup comparison by Fisher's exact test. (D) Representative images for en face Oil Red O staining of aortic arches (upper). Quantification of atherosclerotic plaque (lower). (E) Ex vivo measurement of the maximum diameters of aortic arches and suprarenal aortas. (F) The serum levels of inflammatory cytokine (TNF‐α), chemokine (MCP‐1), and anti‐inflammatory cytokine (IL‐10). (G) Representative immunofluorescence (IF) images for expression of iNOS (green) and CD206 (red) in paraffin sections of aortic roots (white dotted line, cell nucleus: blue). Scale bar: 200 µm (*lumen). (H) Quantification of the ratio of M2 anti‐inflammatory macrophage phenotype to M1 pro‐inflammatory macrophage phenotype in paraffin sections of aortic roots. (I) Representative Immunohistochemistry (IHC) images for phospho‐NF‐κB (p‐p65) in paraffin sections of aortic roots (black dotted line). Scale bar: 200 µm (*lumen). (J) Quantification of the ratio of phospho‐NF‐κB (p‐p65)‐positive cells to total cells in paraffin sections of aortic roots. Data were expressed as mean ± standard deviation. n = 12 per group. # P < 0.05 , ## P < 0.01 , ### P < 0.001 and #### P < 0.0001 for a comparison versus ApoE −/− + saline group by unpaired t‐test. * P < 0.05 , ** P < 0. 01 , *** P < 0.001 and **** P < 0.0001 for a comparison versus ApoE −/− + AngII by one‐way ANOVA with Tukey's post‐hoc test. ^ P < 0.05 , ^^ P < 0.01 , ^^^ P < 0.001 and ^^^^ P < 0.0001 for a comparison between ApoE −/− . Lrp8m/Mac‐Lrp8 + AngII group and ApoE −/− .Lrp8m + AngII group by unpaired t‐test. All tests were two‐sided. Note: AngII: Angiotensin II; TNF‐α: tumor necrosis factor alpha; MCP‐1: monocyte chemoattractant protein‐1; IL‐10: interleukin‐10; iNOS: inducible nitric oxide synthase (pro‐inflammatory macrophages biomarker); CD206: cluster of differentiation 206, known as mannose receptor C‐type 1 (anti‐inflammatory macrophages biomarker).

Article Snippet: Study 2: Determination of whether the suppressive effects of sclerostin on inflammatory responses in macrophages were dependent on ApoER2 in vitro To determine whether the suppressive effects of sclerostin on inflammatory responses in macrophages were dependent on ApoER2 in vitro, PMA (100 ng/mL, 48 h)‐induced human differentiated macrophages (THP‐1 cells, Procell Life Science & Technology, CL‐0233) and mouse macrophages (RAW 264.7 cells, ATCC, TIB‐71) were utilized.

Techniques: Comparison, Staining, Ex Vivo, Immunofluorescence, Expressing, Immunohistochemistry, Standard Deviation, Saline, Biomarker Discovery

The aortic aneurysm, atherosclerosis, and inflammatory responses in sost −/− . ApoE −/− mice and sost −/− . ApoE −/− .Lrp8m mice, with and without rAAV8‐ mediated re‐expression of SOST or SOST loop2m . (A) The diagram of experimental design. (B) Representative images of aortas in sost −/− .ApoE −/− .Lrp8m mice and sost −/− .ApoE −/− mice, with AngII infusion (scale bars, 2 mm). (C) Bar charts of the aortic aneurysm (AA) incidence. ns P > 0.05 , * P < 0.05 for a comparison versus Fisher's exact test. (D) Representative en face Oil Red O staining images of aortic arches (upper) and quantification of atherosclerotic plaque (lower). (E) Ex vivo measurement of the maximum diameters of aortic arches and suprarenal aortas. (F) The serum levels of pro‐inflammatory cytokine (TNF‐α), pro‐inflammatory chemokine (MCP‐1) and anti‐inflammatory cytokine (IL‐10). (G) Representative immunofluorescence (IF) images for expression of iNOS (green) and CD206 (red) in paraffin sections of aortic roots (white dotted line, cell nucleus: blue). Scale bar: 200 µm (*lumen). (H) Quantification of the ratio of M2 anti‐inflammatory macrophage phenotype to M1 pro‐inflammatory macrophage phenotype in paraffin sections of aortic roots. (I) Representative Immunohistochemistry (IHC) images for phospho‐NF‐κB (p‐p65) in paraffin sections of aortic roots (black dotted line). Scale bar: 200 µm (*lumen). (J) Quantification of the ratio of phospho‐NF‐κB (p‐p65)‐positive cells to total cells in paraffin sections of aortic roots. Data were expressed as mean ± standard deviation. n=12 per group. ns P > 0.05, * P < 0.05 , ** P < 0. 01 , *** P < 0.001 , and **** P < 0.0001 for the comparison versus Veh controls by two‐way ANOVA with Tukey's post‐hoc test. All tests were two‐sided. Note: AngII: Angiotensin II; TNF‐α: tumor necrosis factor alpha; MCP‐1: monocyte chemoattractant protein‐1; IL‐10: interleukin‐10; iNOS: inducible nitric oxide synthase (pro‐inflammatory macrophages biomarker); CD206: cluster of differentiation 206, known as mannose receptor C‐type 1 (anti‐inflammatory macrophages biomarker).

Journal: Advanced Science

Article Title: Macrophagic Sclerostin Loop2‐ApoER2 Interaction Required by Sclerostin for Cardiovascular Protective Action

doi: 10.1002/advs.202518735

Figure Lengend Snippet: The aortic aneurysm, atherosclerosis, and inflammatory responses in sost −/− . ApoE −/− mice and sost −/− . ApoE −/− .Lrp8m mice, with and without rAAV8‐ mediated re‐expression of SOST or SOST loop2m . (A) The diagram of experimental design. (B) Representative images of aortas in sost −/− .ApoE −/− .Lrp8m mice and sost −/− .ApoE −/− mice, with AngII infusion (scale bars, 2 mm). (C) Bar charts of the aortic aneurysm (AA) incidence. ns P > 0.05 , * P < 0.05 for a comparison versus Fisher's exact test. (D) Representative en face Oil Red O staining images of aortic arches (upper) and quantification of atherosclerotic plaque (lower). (E) Ex vivo measurement of the maximum diameters of aortic arches and suprarenal aortas. (F) The serum levels of pro‐inflammatory cytokine (TNF‐α), pro‐inflammatory chemokine (MCP‐1) and anti‐inflammatory cytokine (IL‐10). (G) Representative immunofluorescence (IF) images for expression of iNOS (green) and CD206 (red) in paraffin sections of aortic roots (white dotted line, cell nucleus: blue). Scale bar: 200 µm (*lumen). (H) Quantification of the ratio of M2 anti‐inflammatory macrophage phenotype to M1 pro‐inflammatory macrophage phenotype in paraffin sections of aortic roots. (I) Representative Immunohistochemistry (IHC) images for phospho‐NF‐κB (p‐p65) in paraffin sections of aortic roots (black dotted line). Scale bar: 200 µm (*lumen). (J) Quantification of the ratio of phospho‐NF‐κB (p‐p65)‐positive cells to total cells in paraffin sections of aortic roots. Data were expressed as mean ± standard deviation. n=12 per group. ns P > 0.05, * P < 0.05 , ** P < 0. 01 , *** P < 0.001 , and **** P < 0.0001 for the comparison versus Veh controls by two‐way ANOVA with Tukey's post‐hoc test. All tests were two‐sided. Note: AngII: Angiotensin II; TNF‐α: tumor necrosis factor alpha; MCP‐1: monocyte chemoattractant protein‐1; IL‐10: interleukin‐10; iNOS: inducible nitric oxide synthase (pro‐inflammatory macrophages biomarker); CD206: cluster of differentiation 206, known as mannose receptor C‐type 1 (anti‐inflammatory macrophages biomarker).

Article Snippet: Study 2: Determination of whether the suppressive effects of sclerostin on inflammatory responses in macrophages were dependent on ApoER2 in vitro To determine whether the suppressive effects of sclerostin on inflammatory responses in macrophages were dependent on ApoER2 in vitro, PMA (100 ng/mL, 48 h)‐induced human differentiated macrophages (THP‐1 cells, Procell Life Science & Technology, CL‐0233) and mouse macrophages (RAW 264.7 cells, ATCC, TIB‐71) were utilized.

Techniques: Expressing, Comparison, Staining, Ex Vivo, Immunofluorescence, Immunohistochemistry, Standard Deviation, Biomarker Discovery

Schematic diagram showing our findings that sclerostin loop2‐ApoER2 interaction in macrophages was required by sclerostin to suppress NF‐κB nuclear translocation and phosphorylation, to promote macrophage conversion into anti‐inflammatory phenotypes in atherosclerotic aortas, as well as to prevent atherosclerosis and aortic aneurysm development in ApoE −/− mice.

Journal: Advanced Science

Article Title: Macrophagic Sclerostin Loop2‐ApoER2 Interaction Required by Sclerostin for Cardiovascular Protective Action

doi: 10.1002/advs.202518735

Figure Lengend Snippet: Schematic diagram showing our findings that sclerostin loop2‐ApoER2 interaction in macrophages was required by sclerostin to suppress NF‐κB nuclear translocation and phosphorylation, to promote macrophage conversion into anti‐inflammatory phenotypes in atherosclerotic aortas, as well as to prevent atherosclerosis and aortic aneurysm development in ApoE −/− mice.

Article Snippet: Study 2: Determination of whether the suppressive effects of sclerostin on inflammatory responses in macrophages were dependent on ApoER2 in vitro To determine whether the suppressive effects of sclerostin on inflammatory responses in macrophages were dependent on ApoER2 in vitro, PMA (100 ng/mL, 48 h)‐induced human differentiated macrophages (THP‐1 cells, Procell Life Science & Technology, CL‐0233) and mouse macrophages (RAW 264.7 cells, ATCC, TIB‐71) were utilized.

Techniques: Translocation Assay, Phospho-proteomics