nitric oxide Search Results


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Effects of IL‐17A neutralisation on macrophage polarisation in SHR renal tissues. (A) Representative IHC staining of M1 macrophage markers <t>(iNOS</t> and CD86) with quantitative analysis of their positive areas. (B) Representative IHC staining of M2 macrophage markers (Arg‐1 and CD163) with quantitative analysis of their positive areas. (C) Representative immunoblots and relative expression levels of iNOS, CD86, Arg‐1, and CD163 proteins. (D) Proportion of CD86 + and CD163 + cells among CD68 + macrophages. (E) mRNA expression levels of iNOS, CD86, Arg‐1, and CD163. Data are presented as mean ± SD ( n = 6).
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Effects of IL‐17A neutralisation on macrophage polarisation in SHR renal tissues. (A) Representative IHC staining of M1 macrophage markers <t>(iNOS</t> and CD86) with quantitative analysis of their positive areas. (B) Representative IHC staining of M2 macrophage markers (Arg‐1 and CD163) with quantitative analysis of their positive areas. (C) Representative immunoblots and relative expression levels of iNOS, CD86, Arg‐1, and CD163 proteins. (D) Proportion of CD86 + and CD163 + cells among CD68 + macrophages. (E) mRNA expression levels of iNOS, CD86, Arg‐1, and CD163. Data are presented as mean ± SD ( n = 6).
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Fig. 13. Effects of increased concentrations (1–1000 nM, for 6 h) of anandamide (AEA), 2-arachidonoylglycerol (2-AG), CP 55–940, WIN 55,212–2, and URB597, on inducible-nitric oxide <t>synthase</t> <t>(iNOS;</t> A), Interleukin-1β (IL-1β; B), and Tumor Necrosis Factor-α (TNF-α; C) levels in primary hippocampal neurons exposed to high glucose (GLU; 150 mM for 48 h) + amyloid β peptide (Aβ1-42; 500 nM for 24 h). Data are mean values ± S.E.M. of n = 2 experiments per assay. **P ≤0.01 and ʄP ≤ 0.001, different from the control group; +P ≤0.05, ++P ≤0.01 and ɸP ≤0.001, different from the GLU + Aβ1-42 group; Kruskal-Wallis ANOVA with uncorrected Dunn’s test.
Rat Inducible Nitric Oxide Synthase Inos Elisa Kit, supplied by Cusabio, 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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The analysis for the heterogeneity of <t>endothelial</t> clusters. a . The gene expression of endothelial, angiogenesis, and hematopoiesis in new RNA. b . The hotspot analyzed the similarity of cells and obtained 12 modules. c–d . The vascular endothelial cell migration pathway was selected from modules 3 and 8 and mapped to UMAP plots. e . The GO analysis of differential genes in high-glucose and low-glucose cells. f . The endothelial and hematopoietic genes in high-glucose and low-glucose cells in clusters 1 and 15
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The analysis for the heterogeneity of <t>endothelial</t> clusters. a . The gene expression of endothelial, angiogenesis, and hematopoiesis in new RNA. b . The hotspot analyzed the similarity of cells and obtained 12 modules. c–d . The vascular endothelial cell migration pathway was selected from modules 3 and 8 and mapped to UMAP plots. e . The GO analysis of differential genes in high-glucose and low-glucose cells. f . The endothelial and hematopoietic genes in high-glucose and low-glucose cells in clusters 1 and 15
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Elabscience Biotechnology anti nitric oxide synthase 1
The analysis for the heterogeneity of <t>endothelial</t> clusters. a . The gene expression of endothelial, angiogenesis, and hematopoiesis in new RNA. b . The hotspot analyzed the similarity of cells and obtained 12 modules. c–d . The vascular endothelial cell migration pathway was selected from modules 3 and 8 and mapped to UMAP plots. e . The GO analysis of differential genes in high-glucose and low-glucose cells. f . The endothelial and hematopoietic genes in high-glucose and low-glucose cells in clusters 1 and 15
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Image Search Results


Effects of IL‐17A neutralisation on macrophage polarisation in SHR renal tissues. (A) Representative IHC staining of M1 macrophage markers (iNOS and CD86) with quantitative analysis of their positive areas. (B) Representative IHC staining of M2 macrophage markers (Arg‐1 and CD163) with quantitative analysis of their positive areas. (C) Representative immunoblots and relative expression levels of iNOS, CD86, Arg‐1, and CD163 proteins. (D) Proportion of CD86 + and CD163 + cells among CD68 + macrophages. (E) mRNA expression levels of iNOS, CD86, Arg‐1, and CD163. Data are presented as mean ± SD ( n = 6).

Journal: Clinical and Experimental Pharmacology & Physiology

Article Title: Mechanisms of IL‐17A Neutralisation in Alleviating Renal Fibrosis and Inflammation in Spontaneously Hypertensive Rats

doi: 10.1111/1440-1681.70116

Figure Lengend Snippet: Effects of IL‐17A neutralisation on macrophage polarisation in SHR renal tissues. (A) Representative IHC staining of M1 macrophage markers (iNOS and CD86) with quantitative analysis of their positive areas. (B) Representative IHC staining of M2 macrophage markers (Arg‐1 and CD163) with quantitative analysis of their positive areas. (C) Representative immunoblots and relative expression levels of iNOS, CD86, Arg‐1, and CD163 proteins. (D) Proportion of CD86 + and CD163 + cells among CD68 + macrophages. (E) mRNA expression levels of iNOS, CD86, Arg‐1, and CD163. Data are presented as mean ± SD ( n = 6).

Article Snippet: Sections were then incubated overnight at 4°C with primary antibodies against: E‐cadherin (Boster, China), Collagen III (Boster, China), inducible nitric oxide synthase (iNOS) (Boster, China), CD86 (Boster, China), arginase‐1 (Arg‐1) (Boster, China), CD163 (Boster, China), α‐smooth muscle actin (α‐SMA) (Cell Signalling Technology, USA).

Techniques: Immunohistochemistry, Western Blot, Expressing

Fig. 13. Effects of increased concentrations (1–1000 nM, for 6 h) of anandamide (AEA), 2-arachidonoylglycerol (2-AG), CP 55–940, WIN 55,212–2, and URB597, on inducible-nitric oxide synthase (iNOS; A), Interleukin-1β (IL-1β; B), and Tumor Necrosis Factor-α (TNF-α; C) levels in primary hippocampal neurons exposed to high glucose (GLU; 150 mM for 48 h) + amyloid β peptide (Aβ1-42; 500 nM for 24 h). Data are mean values ± S.E.M. of n = 2 experiments per assay. **P ≤0.01 and ʄP ≤ 0.001, different from the control group; +P ≤0.05, ++P ≤0.01 and ɸP ≤0.001, different from the GLU + Aβ1-42 group; Kruskal-Wallis ANOVA with uncorrected Dunn’s test.

Journal: Neurochemistry international

Article Title: Cannabinoid-profiled agents improve cell survival via reduction of oxidative stress and inflammation, and Nrf2 activation in a toxic model combining hyperglycemia+Aβ 1-42 peptide in rat hippocampal neurons.

doi: 10.1016/j.neuint.2020.104817

Figure Lengend Snippet: Fig. 13. Effects of increased concentrations (1–1000 nM, for 6 h) of anandamide (AEA), 2-arachidonoylglycerol (2-AG), CP 55–940, WIN 55,212–2, and URB597, on inducible-nitric oxide synthase (iNOS; A), Interleukin-1β (IL-1β; B), and Tumor Necrosis Factor-α (TNF-α; C) levels in primary hippocampal neurons exposed to high glucose (GLU; 150 mM for 48 h) + amyloid β peptide (Aβ1-42; 500 nM for 24 h). Data are mean values ± S.E.M. of n = 2 experiments per assay. **P ≤0.01 and ʄP ≤ 0.001, different from the control group; +P ≤0.05, ++P ≤0.01 and ɸP ≤0.001, different from the GLU + Aβ1-42 group; Kruskal-Wallis ANOVA with uncorrected Dunn’s test.

Article Snippet: Rat Inducible Nitric Oxide Synthase (iNOS) ELISA kit and Rat 3-nitrotyrosine (3-NT) ELISA kit were obtained from Cusabio Technology LLC (Houston, TX, USA).

Techniques: Control

The analysis for the heterogeneity of endothelial clusters. a . The gene expression of endothelial, angiogenesis, and hematopoiesis in new RNA. b . The hotspot analyzed the similarity of cells and obtained 12 modules. c–d . The vascular endothelial cell migration pathway was selected from modules 3 and 8 and mapped to UMAP plots. e . The GO analysis of differential genes in high-glucose and low-glucose cells. f . The endothelial and hematopoietic genes in high-glucose and low-glucose cells in clusters 1 and 15

Journal: Human Cell

Article Title: Single-cell dynamic RNA and glycosylation sequencing reveals the mechanism underlying the differentiation of pluripotent stem cells into hematopoietic stem cells

doi: 10.1007/s13577-025-01234-7

Figure Lengend Snippet: The analysis for the heterogeneity of endothelial clusters. a . The gene expression of endothelial, angiogenesis, and hematopoiesis in new RNA. b . The hotspot analyzed the similarity of cells and obtained 12 modules. c–d . The vascular endothelial cell migration pathway was selected from modules 3 and 8 and mapped to UMAP plots. e . The GO analysis of differential genes in high-glucose and low-glucose cells. f . The endothelial and hematopoietic genes in high-glucose and low-glucose cells in clusters 1 and 15

Article Snippet: From day 2 to day 6, 50 ng/mL human vascular endothelial growth factor (VEGF, MCE Catalog #HY- P70458 ), 50 ng/mL human basic fibroblast growth factor (bFGF, MCE Catalog #HY-P7331), 5 ng/mL BMP4, and 10 μM SB-431542 (MCE Catalog #HY-10431) were added to the BDM.

Techniques: Gene Expression, Migration

Potential linkages of endothelial subsets in their differentiation fate. a . Clusters 1 and 15 were reclustered to seven new clusters, which were identified by differentially expressed genes, including NEFH, CLDN5, TOP2 A, RUNX1, MCM3, ANGPT2, and IGFBP3. b . The expression of endothelial and hematopoietic-related genes in endothelial subsets. c–d . The NTR and the levels of glycation in endothelial subsets. e . The expression of transcription factors in the endothelial subsets. f . The correlation between clusters 1, 15, and the endothelial subsets using the Spearman correlation analysis

Journal: Human Cell

Article Title: Single-cell dynamic RNA and glycosylation sequencing reveals the mechanism underlying the differentiation of pluripotent stem cells into hematopoietic stem cells

doi: 10.1007/s13577-025-01234-7

Figure Lengend Snippet: Potential linkages of endothelial subsets in their differentiation fate. a . Clusters 1 and 15 were reclustered to seven new clusters, which were identified by differentially expressed genes, including NEFH, CLDN5, TOP2 A, RUNX1, MCM3, ANGPT2, and IGFBP3. b . The expression of endothelial and hematopoietic-related genes in endothelial subsets. c–d . The NTR and the levels of glycation in endothelial subsets. e . The expression of transcription factors in the endothelial subsets. f . The correlation between clusters 1, 15, and the endothelial subsets using the Spearman correlation analysis

Article Snippet: From day 2 to day 6, 50 ng/mL human vascular endothelial growth factor (VEGF, MCE Catalog #HY- P70458 ), 50 ng/mL human basic fibroblast growth factor (bFGF, MCE Catalog #HY-P7331), 5 ng/mL BMP4, and 10 μM SB-431542 (MCE Catalog #HY-10431) were added to the BDM.

Techniques: Expressing