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ID tissue exhibits higher densities of fibroblasts, macrophages, and microvessels compared to SC tissue. Immunofluorescence analysis comparing the expression of Vimentin (a fibroblast marker), CD68 (a macrophage marker), and <t>CD31</t> (an endothelial cell marker) in ID and SC tissues. For each group, n = 3; data represent mean ± s.d.; ∗P < 0.05 and ∗∗P < 0.01.
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ID tissue exhibits higher densities of fibroblasts, macrophages, and microvessels compared to SC tissue. Immunofluorescence analysis comparing the expression of Vimentin (a fibroblast marker), CD68 (a macrophage marker), and <t>CD31</t> (an endothelial cell marker) in ID and SC tissues. For each group, n = 3; data represent mean ± s.d.; ∗P < 0.05 and ∗∗P < 0.01.
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Cell selection using automated magnetic cell sorting (A) Cells were stained with CD45-biotin and <t>CD31-biotin</t> and sorted using autoMACS® Pro Separator. (B) Number of cells before staining for autoMACS® separation (step 11), and number of cells recovered from positive selection (CD45 + and CD31 + cells) and negative selection (CD45 - and CD31 - cells) in step 23. Each dot represents combined numbers from inguinal, axillary and brachial lymph nodes from 6 mice. Colors indicate biological replicates. (C) Percentages of cells after separation compared to the pre-staining cell count performed in step 11. (D) Purity check of separated cells using flow cytometry and staining for CD45 and CD31. (E) Overlay plots of positive selection (blue) and negative selection (red). (F) Percentage of CD45 + , CD45 - and CD31 + cells recovered (∗∗∗∗ p value < 0.0001, ∗ p value < 0.05). (G) Final viability check of positive and negative selected cells acquired just before performing scRNA-sequencing analysis.
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Cell selection using automated magnetic cell sorting (A) Cells were stained with CD45-biotin and <t>CD31-biotin</t> and sorted using autoMACS® Pro Separator. (B) Number of cells before staining for autoMACS® separation (step 11), and number of cells recovered from positive selection (CD45 + and CD31 + cells) and negative selection (CD45 - and CD31 - cells) in step 23. Each dot represents combined numbers from inguinal, axillary and brachial lymph nodes from 6 mice. Colors indicate biological replicates. (C) Percentages of cells after separation compared to the pre-staining cell count performed in step 11. (D) Purity check of separated cells using flow cytometry and staining for CD45 and CD31. (E) Overlay plots of positive selection (blue) and negative selection (red). (F) Percentage of CD45 + , CD45 - and CD31 + cells recovered (∗∗∗∗ p value < 0.0001, ∗ p value < 0.05). (G) Final viability check of positive and negative selected cells acquired just before performing scRNA-sequencing analysis.
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Cell selection using automated magnetic cell sorting (A) Cells were stained with CD45-biotin and <t>CD31-biotin</t> and sorted using autoMACS® Pro Separator. (B) Number of cells before staining for autoMACS® separation (step 11), and number of cells recovered from positive selection (CD45 + and CD31 + cells) and negative selection (CD45 - and CD31 - cells) in step 23. Each dot represents combined numbers from inguinal, axillary and brachial lymph nodes from 6 mice. Colors indicate biological replicates. (C) Percentages of cells after separation compared to the pre-staining cell count performed in step 11. (D) Purity check of separated cells using flow cytometry and staining for CD45 and CD31. (E) Overlay plots of positive selection (blue) and negative selection (red). (F) Percentage of CD45 + , CD45 - and CD31 + cells recovered (∗∗∗∗ p value < 0.0001, ∗ p value < 0.05). (G) Final viability check of positive and negative selected cells acquired just before performing scRNA-sequencing analysis.
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Superior SA node myocytes exhibit elevated diastolic ATP and metabolic flux compared with the inferior region. (A) 3D segmented maximum-intensity projection of a whole-mount SA node immunolabeled for <t>CD31</t> (vasculature, red) and cyto-iATP (myocytes, green). The dashed line denotes the boundary between superior and inferior regions. (B) Image-processing workflow illustrating merged maximum-intensity projections, binary segmentation masks, and extraction of grayscale cyto-iATP signals used for quantitative analysis. (C) Mean cyto-iATP fluorescence intensity per myocyte, grouped by region ( N = 5 mice per region), reporting expression levels of the EGFP-tagged cyto-iATP sensor. (D) Live confocal imaging of cyto-iATP signals showing representative line-scan images and corresponding normalized fluorescence traces (F/F 0 ) from superior and inferior regions. (E and F) Summary quantification of cyto-iATP signal mass rate (E) and estimated diastolic [ATP] i (F). P values are shown above comparisons. Large circles denote per-animal means; small circles indicate individual biological replicates. N represents the number of independent mice.
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Analysis of tumor microenvironment and systemic safety evaluation. (A) Representative immunofluorescence staining of tumor tissues from different treatment groups, showing <t>CD31</t> + blood vessels (red), CD206 + M2 macrophages (green), and DAPI (blue) for nuclei. Scale bar = 100 μm. (B) Representative H&E-stained histological sections of major organs (heart, liver, spleen, lungs, and kidneys). Scale bar = 200 μm. (C) Quantitative analysis of microvessel density (MVD) based on CD31-positive areas. (D) Quantitative analysis of CD206-positive areas. (E) Statistical summary of the percentage of F4/80 + CD86 + cells within CD45 + cells in tumor tissues, as determined by flow cytometry. (F) Quantitative analysis of the HIF-1α-positive area percentage in tumor tissues from different groups. REG@LF means REG@LFHA NPs, REG@LFHA means REG@LFHA NPs. All statistical data are represented as mean ± SD (n = 3; ∗p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001, ∗∗∗∗p < 0.0001).
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Analysis of tumor microenvironment and systemic safety evaluation. (A) Representative immunofluorescence staining of tumor tissues from different treatment groups, showing <t>CD31</t> + blood vessels (red), CD206 + M2 macrophages (green), and DAPI (blue) for nuclei. Scale bar = 100 μm. (B) Representative H&E-stained histological sections of major organs (heart, liver, spleen, lungs, and kidneys). Scale bar = 200 μm. (C) Quantitative analysis of microvessel density (MVD) based on CD31-positive areas. (D) Quantitative analysis of CD206-positive areas. (E) Statistical summary of the percentage of F4/80 + CD86 + cells within CD45 + cells in tumor tissues, as determined by flow cytometry. (F) Quantitative analysis of the HIF-1α-positive area percentage in tumor tissues from different groups. REG@LF means REG@LFHA NPs, REG@LFHA means REG@LFHA NPs. All statistical data are represented as mean ± SD (n = 3; ∗p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001, ∗∗∗∗p < 0.0001).
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Image Search Results


ID tissue exhibits higher densities of fibroblasts, macrophages, and microvessels compared to SC tissue. Immunofluorescence analysis comparing the expression of Vimentin (a fibroblast marker), CD68 (a macrophage marker), and CD31 (an endothelial cell marker) in ID and SC tissues. For each group, n = 3; data represent mean ± s.d.; ∗P < 0.05 and ∗∗P < 0.01.

Journal: Bioactive Materials

Article Title: Injection site dictates the immune response to a biodegradable polymer and corresponding collagen regeneration

doi: 10.1016/j.bioactmat.2026.04.004

Figure Lengend Snippet: ID tissue exhibits higher densities of fibroblasts, macrophages, and microvessels compared to SC tissue. Immunofluorescence analysis comparing the expression of Vimentin (a fibroblast marker), CD68 (a macrophage marker), and CD31 (an endothelial cell marker) in ID and SC tissues. For each group, n = 3; data represent mean ± s.d.; ∗P < 0.05 and ∗∗P < 0.01.

Article Snippet: After antigen retrieval and blocking, sections were incubated overnight at 4 °C with primary antibodies targeting vimentin, CD68 (ABclonal, A20803), CD31 (R&D SYSTEMS, AF3628), HMGB1 (Cell Signaling Technology, 3935), HSP70 (ABclonal, A23457), NF-κB p65 (ABclonal, A19653), CD206 (Cell Signaling Technology, 24595), and FAPα (ABclonal, A23789 ).

Techniques: Immunofluorescence, Expressing, Marker

Cell selection using automated magnetic cell sorting (A) Cells were stained with CD45-biotin and CD31-biotin and sorted using autoMACS® Pro Separator. (B) Number of cells before staining for autoMACS® separation (step 11), and number of cells recovered from positive selection (CD45 + and CD31 + cells) and negative selection (CD45 - and CD31 - cells) in step 23. Each dot represents combined numbers from inguinal, axillary and brachial lymph nodes from 6 mice. Colors indicate biological replicates. (C) Percentages of cells after separation compared to the pre-staining cell count performed in step 11. (D) Purity check of separated cells using flow cytometry and staining for CD45 and CD31. (E) Overlay plots of positive selection (blue) and negative selection (red). (F) Percentage of CD45 + , CD45 - and CD31 + cells recovered (∗∗∗∗ p value < 0.0001, ∗ p value < 0.05). (G) Final viability check of positive and negative selected cells acquired just before performing scRNA-sequencing analysis.

Journal: STAR Protocols

Article Title: Protocol for isolating stromal cells from lymphoid tissue for performing scRNA-seq

doi: 10.1016/j.xpro.2026.104501

Figure Lengend Snippet: Cell selection using automated magnetic cell sorting (A) Cells were stained with CD45-biotin and CD31-biotin and sorted using autoMACS® Pro Separator. (B) Number of cells before staining for autoMACS® separation (step 11), and number of cells recovered from positive selection (CD45 + and CD31 + cells) and negative selection (CD45 - and CD31 - cells) in step 23. Each dot represents combined numbers from inguinal, axillary and brachial lymph nodes from 6 mice. Colors indicate biological replicates. (C) Percentages of cells after separation compared to the pre-staining cell count performed in step 11. (D) Purity check of separated cells using flow cytometry and staining for CD45 and CD31. (E) Overlay plots of positive selection (blue) and negative selection (red). (F) Percentage of CD45 + , CD45 - and CD31 + cells recovered (∗∗∗∗ p value < 0.0001, ∗ p value < 0.05). (G) Final viability check of positive and negative selected cells acquired just before performing scRNA-sequencing analysis.

Article Snippet: CD31 antibody, anti-mouse, Biotin (Dilutions in 1:50) , Miltenyi Biotec , Cat# 130-119-562, RRID: AB_2751728.

Techniques: Selection, FACS, Staining, Cell Characterization, Flow Cytometry, Sequencing

Superior SA node myocytes exhibit elevated diastolic ATP and metabolic flux compared with the inferior region. (A) 3D segmented maximum-intensity projection of a whole-mount SA node immunolabeled for CD31 (vasculature, red) and cyto-iATP (myocytes, green). The dashed line denotes the boundary between superior and inferior regions. (B) Image-processing workflow illustrating merged maximum-intensity projections, binary segmentation masks, and extraction of grayscale cyto-iATP signals used for quantitative analysis. (C) Mean cyto-iATP fluorescence intensity per myocyte, grouped by region ( N = 5 mice per region), reporting expression levels of the EGFP-tagged cyto-iATP sensor. (D) Live confocal imaging of cyto-iATP signals showing representative line-scan images and corresponding normalized fluorescence traces (F/F 0 ) from superior and inferior regions. (E and F) Summary quantification of cyto-iATP signal mass rate (E) and estimated diastolic [ATP] i (F). P values are shown above comparisons. Large circles denote per-animal means; small circles indicate individual biological replicates. N represents the number of independent mice.

Journal: The Journal of General Physiology

Article Title: Beat-locked ATP microdomains in the sinoatrial node map a Ca 2+ -timed energetic hierarchy and regional pacemaker roles

doi: 10.1085/jgp.202513874

Figure Lengend Snippet: Superior SA node myocytes exhibit elevated diastolic ATP and metabolic flux compared with the inferior region. (A) 3D segmented maximum-intensity projection of a whole-mount SA node immunolabeled for CD31 (vasculature, red) and cyto-iATP (myocytes, green). The dashed line denotes the boundary between superior and inferior regions. (B) Image-processing workflow illustrating merged maximum-intensity projections, binary segmentation masks, and extraction of grayscale cyto-iATP signals used for quantitative analysis. (C) Mean cyto-iATP fluorescence intensity per myocyte, grouped by region ( N = 5 mice per region), reporting expression levels of the EGFP-tagged cyto-iATP sensor. (D) Live confocal imaging of cyto-iATP signals showing representative line-scan images and corresponding normalized fluorescence traces (F/F 0 ) from superior and inferior regions. (E and F) Summary quantification of cyto-iATP signal mass rate (E) and estimated diastolic [ATP] i (F). P values are shown above comparisons. Large circles denote per-animal means; small circles indicate individual biological replicates. N represents the number of independent mice.

Article Snippet: For immunolabeling, SA nodes were incubated for 48 h at 4°C with a goat anti-mouse CD31 primary antibody (1:50, AF3628; R&D Systems).

Techniques: Immunolabeling, Extraction, Fluorescence, Expressing, Imaging

Analysis of tumor microenvironment and systemic safety evaluation. (A) Representative immunofluorescence staining of tumor tissues from different treatment groups, showing CD31 + blood vessels (red), CD206 + M2 macrophages (green), and DAPI (blue) for nuclei. Scale bar = 100 μm. (B) Representative H&E-stained histological sections of major organs (heart, liver, spleen, lungs, and kidneys). Scale bar = 200 μm. (C) Quantitative analysis of microvessel density (MVD) based on CD31-positive areas. (D) Quantitative analysis of CD206-positive areas. (E) Statistical summary of the percentage of F4/80 + CD86 + cells within CD45 + cells in tumor tissues, as determined by flow cytometry. (F) Quantitative analysis of the HIF-1α-positive area percentage in tumor tissues from different groups. REG@LF means REG@LFHA NPs, REG@LFHA means REG@LFHA NPs. All statistical data are represented as mean ± SD (n = 3; ∗p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001, ∗∗∗∗p < 0.0001).

Journal: Bioactive Materials

Article Title: LRP-1/CD44-targeted regorafenib nano-delivery system leveraging anti-angiogenesis and synergistic cytotoxicity against peritoneal metastasis of colorectal cancer

doi: 10.1016/j.bioactmat.2025.12.015

Figure Lengend Snippet: Analysis of tumor microenvironment and systemic safety evaluation. (A) Representative immunofluorescence staining of tumor tissues from different treatment groups, showing CD31 + blood vessels (red), CD206 + M2 macrophages (green), and DAPI (blue) for nuclei. Scale bar = 100 μm. (B) Representative H&E-stained histological sections of major organs (heart, liver, spleen, lungs, and kidneys). Scale bar = 200 μm. (C) Quantitative analysis of microvessel density (MVD) based on CD31-positive areas. (D) Quantitative analysis of CD206-positive areas. (E) Statistical summary of the percentage of F4/80 + CD86 + cells within CD45 + cells in tumor tissues, as determined by flow cytometry. (F) Quantitative analysis of the HIF-1α-positive area percentage in tumor tissues from different groups. REG@LF means REG@LFHA NPs, REG@LFHA means REG@LFHA NPs. All statistical data are represented as mean ± SD (n = 3; ∗p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001, ∗∗∗∗p < 0.0001).

Article Snippet: Rabbit anti-mouse CD31 polyclonal antibody and rabbit anti-mouse CD206 polyclonal antibody were acquired from Servicebio (Wuhan, China).

Techniques: Immunofluorescence, Staining, Flow Cytometry