cd16 Search Results


92
Miltenyi Biotec realease cd16 vioblue
Realease Cd16 Vioblue, supplied by Miltenyi Biotec, 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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88
Bio-Rad anti mouse cd16 32 fcγiii ii receptor
Anti Mouse Cd16 32 Fcγiii Ii Receptor, supplied by Bio-Rad, used in various techniques. Bioz Stars score: 88/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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94
R&D Systems antibodies against cd16
Antibodies Against Cd16, 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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93
Bio-Rad fc block buffer
Fc Block Buffer, supplied by Bio-Rad, 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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93
Novus Biologicals biotinylated anti rat cd16a antibody
Biotinylated Anti Rat Cd16a Antibody, supplied by Novus Biologicals, 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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95
Miltenyi Biotec fitc anti human cd16
Fitc Anti Human Cd16, supplied by Miltenyi Biotec, 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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Miltenyi Biotec anti cd16 microbeads
Anti Cd16 Microbeads, supplied by Miltenyi Biotec, 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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96
Bio X Cell fcblock
Fcblock, supplied by Bio X Cell, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Bio X Cell anti cd16 32 antibody
Anti Cd16 32 Antibody, supplied by Bio X Cell, 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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93
R&D Systems goat anti cd32b
Goat Anti Cd32b, 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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95
Elabscience Biotechnology anti mouse cd16 32 antibody
Anti Mouse Cd16 32 Antibody, 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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93
Elabscience Biotechnology cd16 fitc
Changes in peripheral blood monocyte subsets in CTEPH patients. (A) UMAP plot of Mononuclear Phagocyte System (MPS) was divided into three cell types: monocytes, macrophages, and conventional dendritic cells (cDCs). Subsequently, monocytes were further divided into CD14+ monocytes and <t>CD16+</t> monocytes. (B) A dot plot was used to annotate marker genes for CD14+ monocytes and CD16+ monocytes, along with a heatmap displaying the top 10 differentially expressed genes between the two cell types. (C) Ro/e (ratio of observed cell number to expected cell number) revealed the proportion of CD16+ monocytes in the CTEPH-N, CTEPH-I and HC groups. (D) The heat map showed the degree of correlation, and the numbers in the graph represented the correlation coefficient. (6MWD: 6-minute walk distance; PVR: pulmonary vascular resistance) (E) Schematic diagram of the gating strategy for distinguishing CD14+ monocytes from CD16+ monocytes by flow cytometry. (F) Differences in the proportion of CD16+ monocyte subsets in total monocytes between CTEPD patients ( n = 15) and matched healthy controls ( n = 15) were assessed by flow cytometry. All data were presented as means ± SEM, *** P < 0.001.
Cd16 Fitc, supplied by Elabscience Biotechnology, 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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Image Search Results


Changes in peripheral blood monocyte subsets in CTEPH patients. (A) UMAP plot of Mononuclear Phagocyte System (MPS) was divided into three cell types: monocytes, macrophages, and conventional dendritic cells (cDCs). Subsequently, monocytes were further divided into CD14+ monocytes and CD16+ monocytes. (B) A dot plot was used to annotate marker genes for CD14+ monocytes and CD16+ monocytes, along with a heatmap displaying the top 10 differentially expressed genes between the two cell types. (C) Ro/e (ratio of observed cell number to expected cell number) revealed the proportion of CD16+ monocytes in the CTEPH-N, CTEPH-I and HC groups. (D) The heat map showed the degree of correlation, and the numbers in the graph represented the correlation coefficient. (6MWD: 6-minute walk distance; PVR: pulmonary vascular resistance) (E) Schematic diagram of the gating strategy for distinguishing CD14+ monocytes from CD16+ monocytes by flow cytometry. (F) Differences in the proportion of CD16+ monocyte subsets in total monocytes between CTEPD patients ( n = 15) and matched healthy controls ( n = 15) were assessed by flow cytometry. All data were presented as means ± SEM, *** P < 0.001.

Journal: Frontiers in Immunology

Article Title: The significance of CD16+ monocytes in the occurrence and development of chronic thromboembolic pulmonary hypertension: insights from single-cell RNA sequencing

doi: 10.3389/fimmu.2024.1446710

Figure Lengend Snippet: Changes in peripheral blood monocyte subsets in CTEPH patients. (A) UMAP plot of Mononuclear Phagocyte System (MPS) was divided into three cell types: monocytes, macrophages, and conventional dendritic cells (cDCs). Subsequently, monocytes were further divided into CD14+ monocytes and CD16+ monocytes. (B) A dot plot was used to annotate marker genes for CD14+ monocytes and CD16+ monocytes, along with a heatmap displaying the top 10 differentially expressed genes between the two cell types. (C) Ro/e (ratio of observed cell number to expected cell number) revealed the proportion of CD16+ monocytes in the CTEPH-N, CTEPH-I and HC groups. (D) The heat map showed the degree of correlation, and the numbers in the graph represented the correlation coefficient. (6MWD: 6-minute walk distance; PVR: pulmonary vascular resistance) (E) Schematic diagram of the gating strategy for distinguishing CD14+ monocytes from CD16+ monocytes by flow cytometry. (F) Differences in the proportion of CD16+ monocyte subsets in total monocytes between CTEPD patients ( n = 15) and matched healthy controls ( n = 15) were assessed by flow cytometry. All data were presented as means ± SEM, *** P < 0.001.

Article Snippet: Then the cells were resuspend in the flow cytometer wash buffer (2% FBS in PBS) and stained with the following antibodies according to the standard protocol: CD14-PE (Elabscience, E-AB-F1209D) and CD16-FITC (Elabscience, E-AB-F1236C) for monocyte labeling.

Techniques: Marker, Flow Cytometry

The functional characteristics of peripheral blood CD16+ monocytes in CTEPH patients. (A) GO analysis (biological process) of upregulated genes in CD16+ monocytes compared with CD14+ monocytes in CTEPH patients. (B) KEGG analysis of upregulated genes in CD16+ monocytes compared with CD14+ monocytes in CTEPH patients. (C) GSEA bar plot of CD16+ monocytes versus CD14+ monocytes in patients with CTEPH. (D) GO analysis (biological process) of upregulated genes in CD16+ monocytes between the CTEPH and healthy control samples. (E) KEGG analysis of upregulated genes in CD16+ monocytes between CTEPH patients and healthy controls. (F) GSVA heatmap of CD16+ monocytes between CTEPH patients and healthy controls. (G) Heat map of transcription factors upregulated in CD16+ monocytes between CTEPH patients and healthy controls.

Journal: Frontiers in Immunology

Article Title: The significance of CD16+ monocytes in the occurrence and development of chronic thromboembolic pulmonary hypertension: insights from single-cell RNA sequencing

doi: 10.3389/fimmu.2024.1446710

Figure Lengend Snippet: The functional characteristics of peripheral blood CD16+ monocytes in CTEPH patients. (A) GO analysis (biological process) of upregulated genes in CD16+ monocytes compared with CD14+ monocytes in CTEPH patients. (B) KEGG analysis of upregulated genes in CD16+ monocytes compared with CD14+ monocytes in CTEPH patients. (C) GSEA bar plot of CD16+ monocytes versus CD14+ monocytes in patients with CTEPH. (D) GO analysis (biological process) of upregulated genes in CD16+ monocytes between the CTEPH and healthy control samples. (E) KEGG analysis of upregulated genes in CD16+ monocytes between CTEPH patients and healthy controls. (F) GSVA heatmap of CD16+ monocytes between CTEPH patients and healthy controls. (G) Heat map of transcription factors upregulated in CD16+ monocytes between CTEPH patients and healthy controls.

Article Snippet: Then the cells were resuspend in the flow cytometer wash buffer (2% FBS in PBS) and stained with the following antibodies according to the standard protocol: CD14-PE (Elabscience, E-AB-F1209D) and CD16-FITC (Elabscience, E-AB-F1236C) for monocyte labeling.

Techniques: Functional Assay, Control

Characteristics analysis of CD16+ monocytes differentiation into IL-1β+ macrophages in peripheral blood of CTEPH patients. (A) Heatmap shows the correlation of CD16+ monocytes with four macrophage subgroups. (B) Resident macrophage scores of four macrophage subgroups. (C) Immunofluorescence images of CD68 (red), IL-1β (green) and DAPI (blue) in inferior vena cava thrombus tissue at different time points (1 day, 7 days and 14 days after ligation). Scale bar = 300 µm. (D) Pseudotime analysis of the developmental trajectory of CD16+ monocytes and Macrophages 2. (E) The developmental trajectory of CD16+ monocytes and Macrophages 2 was clustered into three clusters. (F) Genes with significant expression changes along the pseudotime trajectory. (G) KEGG pathway enrichment analysis along the pseudotime of CD16+ monocytes differentiation into Macrophages 2.

Journal: Frontiers in Immunology

Article Title: The significance of CD16+ monocytes in the occurrence and development of chronic thromboembolic pulmonary hypertension: insights from single-cell RNA sequencing

doi: 10.3389/fimmu.2024.1446710

Figure Lengend Snippet: Characteristics analysis of CD16+ monocytes differentiation into IL-1β+ macrophages in peripheral blood of CTEPH patients. (A) Heatmap shows the correlation of CD16+ monocytes with four macrophage subgroups. (B) Resident macrophage scores of four macrophage subgroups. (C) Immunofluorescence images of CD68 (red), IL-1β (green) and DAPI (blue) in inferior vena cava thrombus tissue at different time points (1 day, 7 days and 14 days after ligation). Scale bar = 300 µm. (D) Pseudotime analysis of the developmental trajectory of CD16+ monocytes and Macrophages 2. (E) The developmental trajectory of CD16+ monocytes and Macrophages 2 was clustered into three clusters. (F) Genes with significant expression changes along the pseudotime trajectory. (G) KEGG pathway enrichment analysis along the pseudotime of CD16+ monocytes differentiation into Macrophages 2.

Article Snippet: Then the cells were resuspend in the flow cytometer wash buffer (2% FBS in PBS) and stained with the following antibodies according to the standard protocol: CD14-PE (Elabscience, E-AB-F1209D) and CD16-FITC (Elabscience, E-AB-F1236C) for monocyte labeling.

Techniques: Immunofluorescence, Ligation, Expressing