cd16 fitc Search Results


anti cd16 fitc  (Miltenyi Biotec)
95
Miltenyi Biotec anti cd16 fitc
Anti Cd16 Fitc, 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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cd16 fitc  (Elabscience Biotechnology)
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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anti mouse cd16 32 antibody  (Elabscience Biotechnology)
91
Elabscience Biotechnology anti mouse cd16 32 antibody
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.
Anti Mouse Cd16 32 Antibody, supplied by Elabscience Biotechnology, used in various techniques. Bioz Stars score: 91/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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cd56 pe  (Elabscience Biotechnology)
93
Elabscience Biotechnology cd56 pe
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.
Cd56 Pe, 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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anti cd16 cd32  (Cytek Biosciences)
93
Cytek Biosciences anti cd16 cd32
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.
Anti Cd16 Cd32, supplied by Cytek Biosciences, 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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fitc conjugated mouse anti human cd16  (Diaclone)
85
Diaclone fitc conjugated mouse anti human cd16
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.
Fitc Conjugated Mouse Anti Human Cd16, supplied by Diaclone, used in various techniques. Bioz Stars score: 85/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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anti human cd3 fitc cd19 apc cd16 cd56 pe cocktail  (Elabscience Biotechnology)
93
Elabscience Biotechnology anti human cd3 fitc cd19 apc cd16 cd56 pe cocktail
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.
Anti Human Cd3 Fitc Cd19 Apc Cd16 Cd56 Pe Cocktail, 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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fitc anti human cd16  (Miltenyi Biotec)
94
Miltenyi Biotec fitc anti human cd16
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.
Fitc Anti Human Cd16, 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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anti human cd16 pe  (Biogems International)
93
Biogems International anti human cd16 pe
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.
Anti Human Cd16 Pe, supplied by Biogems International, 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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cd16  (Miltenyi Biotec)
93
Miltenyi Biotec cd16
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, supplied by Miltenyi Biotec, 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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fitc anti cd16 32  (Proteintech)
92
Proteintech fitc anti cd16 32
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.
Fitc Anti Cd16 32, supplied by Proteintech, 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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anti mouse cd16 cd32 pe  (Biogems International)
93
Biogems International anti mouse cd16 cd32 pe
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.
Anti Mouse Cd16 Cd32 Pe, supplied by Biogems International, 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