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cd31  (Bioss)


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    Structured Review

    Bioss cd31
    Cd31, supplied by Bioss, used in various techniques. Bioz Stars score: 95/100, based on 114 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/cd31/product/Bioss
    Average 95 stars, based on 114 article reviews
    cd31 - by Bioz Stars, 2026-06
    95/100 stars

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    cd31  (Bioss)
    95
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    Proteintech anti cd31
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    Servicebio Inc rabbit anti mouse cd31 polyclonal antibody
    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).
    Rabbit Anti Mouse Cd31 Polyclonal Antibody, 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
    https://www.bioz.com/result/rabbit anti mouse cd31 polyclonal antibody/product/Servicebio Inc
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    Bioss anti cd31 primary antibody
    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).
    Anti Cd31 Primary Antibody, supplied by Bioss, 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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    96
    Proteintech anti cd31 antibody
    Enhanced tumor growth, immunosuppression, and inhibited angiogenesis in the eSphk1 −/− tumor-bearing mouse model of HNSCC (A) Schematic representation of the experimental strategy used for the mEER tumor-bearing mouse model. (Created with BioRender.com ). (B) Tumor growth profiles of eSphk1 −/− and control mice in the mEER tumor model. ( N = 6 per group, data are presented as mean ± SD. ∗∗ p < 0.01). (C) Representative images of tumors collected from mEER tumor-bearing mice in each group. (D) Tumor weights in mEER tumor-bearing mice of each group. ( N = 6 per group, data are presented as mean ± SD. ∗∗ p < 0.01). (E) RBC SPHK1 activity in different groups at the end of the experiment. ( N = 6 per group, data are presented as mean ± SD. ∗∗ p < 0.01). (F) P50 expression levels in different groups at the end of the experiment. ( N = 6 per group, data are presented as mean ± SD. ∗ p < 0.05). (G) Blood cell counts (RBC, hemoglobin (Hb), WBC and platelets (PLTs)) in different groups at the end of the experiment. Data are presented as mean ± SD ( N = 5 per group, data are presented as mean ± SD). (H) Flow cytometric analysis shows the percentage of immune cells in the tumor tissue of eSphk1 −/− and control mice at the experimental endpoint. ( N = 4:5, data are presented as mean ± SD. ∗ p < 0.05). (I) Representative fluorescent images of immunostaining for <t>CD31,</t> indicating tumor angiogenesis in tumor tissue of eSphk1 −/− and control group mice under mEER tumor-bearing conditions. Green fluorescence indicates CD31 expression on tumor vasculature. ( N = 3 per group, data are presented as mean ± SD. ∗ p < 0.05). (J) The tumor-bearing model in eSphk1 −/− demonstrates that erythrocyte Sphk1 deficiency promotes tumor progression via mechanisms including immune suppression and reduced angiogenesis. (Statistical analysis: Unpaired two-tailed Student’s t test was used for comparisons in panels D–I).
    Anti Cd31 Antibody, supplied by Proteintech, 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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    Proteintech 282 anti ki67
    Enhanced tumor growth, immunosuppression, and inhibited angiogenesis in the eSphk1 −/− tumor-bearing mouse model of HNSCC (A) Schematic representation of the experimental strategy used for the mEER tumor-bearing mouse model. (Created with BioRender.com ). (B) Tumor growth profiles of eSphk1 −/− and control mice in the mEER tumor model. ( N = 6 per group, data are presented as mean ± SD. ∗∗ p < 0.01). (C) Representative images of tumors collected from mEER tumor-bearing mice in each group. (D) Tumor weights in mEER tumor-bearing mice of each group. ( N = 6 per group, data are presented as mean ± SD. ∗∗ p < 0.01). (E) RBC SPHK1 activity in different groups at the end of the experiment. ( N = 6 per group, data are presented as mean ± SD. ∗∗ p < 0.01). (F) P50 expression levels in different groups at the end of the experiment. ( N = 6 per group, data are presented as mean ± SD. ∗ p < 0.05). (G) Blood cell counts (RBC, hemoglobin (Hb), WBC and platelets (PLTs)) in different groups at the end of the experiment. Data are presented as mean ± SD ( N = 5 per group, data are presented as mean ± SD). (H) Flow cytometric analysis shows the percentage of immune cells in the tumor tissue of eSphk1 −/− and control mice at the experimental endpoint. ( N = 4:5, data are presented as mean ± SD. ∗ p < 0.05). (I) Representative fluorescent images of immunostaining for <t>CD31,</t> indicating tumor angiogenesis in tumor tissue of eSphk1 −/− and control group mice under mEER tumor-bearing conditions. Green fluorescence indicates CD31 expression on tumor vasculature. ( N = 3 per group, data are presented as mean ± SD. ∗ p < 0.05). (J) The tumor-bearing model in eSphk1 −/− demonstrates that erythrocyte Sphk1 deficiency promotes tumor progression via mechanisms including immune suppression and reduced angiogenesis. (Statistical analysis: Unpaired two-tailed Student’s t test was used for comparisons in panels D–I).
    282 Anti Ki67, supplied by Proteintech, 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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    Proteintech anti cd31 281
    Enhanced tumor growth, immunosuppression, and inhibited angiogenesis in the eSphk1 −/− tumor-bearing mouse model of HNSCC (A) Schematic representation of the experimental strategy used for the mEER tumor-bearing mouse model. (Created with BioRender.com ). (B) Tumor growth profiles of eSphk1 −/− and control mice in the mEER tumor model. ( N = 6 per group, data are presented as mean ± SD. ∗∗ p < 0.01). (C) Representative images of tumors collected from mEER tumor-bearing mice in each group. (D) Tumor weights in mEER tumor-bearing mice of each group. ( N = 6 per group, data are presented as mean ± SD. ∗∗ p < 0.01). (E) RBC SPHK1 activity in different groups at the end of the experiment. ( N = 6 per group, data are presented as mean ± SD. ∗∗ p < 0.01). (F) P50 expression levels in different groups at the end of the experiment. ( N = 6 per group, data are presented as mean ± SD. ∗ p < 0.05). (G) Blood cell counts (RBC, hemoglobin (Hb), WBC and platelets (PLTs)) in different groups at the end of the experiment. Data are presented as mean ± SD ( N = 5 per group, data are presented as mean ± SD). (H) Flow cytometric analysis shows the percentage of immune cells in the tumor tissue of eSphk1 −/− and control mice at the experimental endpoint. ( N = 4:5, data are presented as mean ± SD. ∗ p < 0.05). (I) Representative fluorescent images of immunostaining for <t>CD31,</t> indicating tumor angiogenesis in tumor tissue of eSphk1 −/− and control group mice under mEER tumor-bearing conditions. Green fluorescence indicates CD31 expression on tumor vasculature. ( N = 3 per group, data are presented as mean ± SD. ∗ p < 0.05). (J) The tumor-bearing model in eSphk1 −/− demonstrates that erythrocyte Sphk1 deficiency promotes tumor progression via mechanisms including immune suppression and reduced angiogenesis. (Statistical analysis: Unpaired two-tailed Student’s t test was used for comparisons in panels D–I).
    Anti Cd31 281, supplied by Proteintech, 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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    Proteintech cd31
    The downregulation of the HIF-1α/VEGF pathway in Sohlh2-overexpressing HepG2 and Hep3B cells. Immunofluorescence experiments detected the expression of HIF-1α (A-B) and <t>CD31</t> (C-D) in HepG2 and Hep3B cells. Magnification: 200 ×; Scale bar: 50 μm. Data were presented as the mean ± standard deviation, and differences between groups were analyzed using one-way analysis of variance, N = 3.
    Cd31, supplied by Proteintech, 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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    Image Search Results


    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

    Enhanced tumor growth, immunosuppression, and inhibited angiogenesis in the eSphk1 −/− tumor-bearing mouse model of HNSCC (A) Schematic representation of the experimental strategy used for the mEER tumor-bearing mouse model. (Created with BioRender.com ). (B) Tumor growth profiles of eSphk1 −/− and control mice in the mEER tumor model. ( N = 6 per group, data are presented as mean ± SD. ∗∗ p < 0.01). (C) Representative images of tumors collected from mEER tumor-bearing mice in each group. (D) Tumor weights in mEER tumor-bearing mice of each group. ( N = 6 per group, data are presented as mean ± SD. ∗∗ p < 0.01). (E) RBC SPHK1 activity in different groups at the end of the experiment. ( N = 6 per group, data are presented as mean ± SD. ∗∗ p < 0.01). (F) P50 expression levels in different groups at the end of the experiment. ( N = 6 per group, data are presented as mean ± SD. ∗ p < 0.05). (G) Blood cell counts (RBC, hemoglobin (Hb), WBC and platelets (PLTs)) in different groups at the end of the experiment. Data are presented as mean ± SD ( N = 5 per group, data are presented as mean ± SD). (H) Flow cytometric analysis shows the percentage of immune cells in the tumor tissue of eSphk1 −/− and control mice at the experimental endpoint. ( N = 4:5, data are presented as mean ± SD. ∗ p < 0.05). (I) Representative fluorescent images of immunostaining for CD31, indicating tumor angiogenesis in tumor tissue of eSphk1 −/− and control group mice under mEER tumor-bearing conditions. Green fluorescence indicates CD31 expression on tumor vasculature. ( N = 3 per group, data are presented as mean ± SD. ∗ p < 0.05). (J) The tumor-bearing model in eSphk1 −/− demonstrates that erythrocyte Sphk1 deficiency promotes tumor progression via mechanisms including immune suppression and reduced angiogenesis. (Statistical analysis: Unpaired two-tailed Student’s t test was used for comparisons in panels D–I).

    Journal: iScience

    Article Title: Insufficient erythrocyte-derived S1P: A pathogenic driver and diagnostic biolipid for tumor progression

    doi: 10.1016/j.isci.2026.115216

    Figure Lengend Snippet: Enhanced tumor growth, immunosuppression, and inhibited angiogenesis in the eSphk1 −/− tumor-bearing mouse model of HNSCC (A) Schematic representation of the experimental strategy used for the mEER tumor-bearing mouse model. (Created with BioRender.com ). (B) Tumor growth profiles of eSphk1 −/− and control mice in the mEER tumor model. ( N = 6 per group, data are presented as mean ± SD. ∗∗ p < 0.01). (C) Representative images of tumors collected from mEER tumor-bearing mice in each group. (D) Tumor weights in mEER tumor-bearing mice of each group. ( N = 6 per group, data are presented as mean ± SD. ∗∗ p < 0.01). (E) RBC SPHK1 activity in different groups at the end of the experiment. ( N = 6 per group, data are presented as mean ± SD. ∗∗ p < 0.01). (F) P50 expression levels in different groups at the end of the experiment. ( N = 6 per group, data are presented as mean ± SD. ∗ p < 0.05). (G) Blood cell counts (RBC, hemoglobin (Hb), WBC and platelets (PLTs)) in different groups at the end of the experiment. Data are presented as mean ± SD ( N = 5 per group, data are presented as mean ± SD). (H) Flow cytometric analysis shows the percentage of immune cells in the tumor tissue of eSphk1 −/− and control mice at the experimental endpoint. ( N = 4:5, data are presented as mean ± SD. ∗ p < 0.05). (I) Representative fluorescent images of immunostaining for CD31, indicating tumor angiogenesis in tumor tissue of eSphk1 −/− and control group mice under mEER tumor-bearing conditions. Green fluorescence indicates CD31 expression on tumor vasculature. ( N = 3 per group, data are presented as mean ± SD. ∗ p < 0.05). (J) The tumor-bearing model in eSphk1 −/− demonstrates that erythrocyte Sphk1 deficiency promotes tumor progression via mechanisms including immune suppression and reduced angiogenesis. (Statistical analysis: Unpaired two-tailed Student’s t test was used for comparisons in panels D–I).

    Article Snippet: To assess microvessel density, tumor sections were stained with an anti-CD31 antibody (Proteintech, 28083-1-AP).

    Techniques: Control, Activity Assay, Expressing, Immunostaining, Fluorescence, Two Tailed Test

    Mouse breast cancer model validation shows that changes in erythrocyte S1P affect tumor angiogenesis and promote immune suppression, collectively driving tumor progression (A) Schematic representation of the strategy used to establish the orthotopic breast cancer (Py8119) model in mice. (Created with BioRender.com ). (B) Growth profiles of Py8119 tumors in eSphk1 −/− and control mice. ( N = 6 per group, data are presented as mean ± SD. ∗∗∗∗ p < 0.0001). (C) Representative images of tumors collected from Py8119 tumor-bearing mice in each group. ( N = 5 per group). (D) Tumor weights of Py8119 tumor-bearing mice in each group. ( N = 5 per group, data are presented as mean ± SD. ∗∗ p < 0.01). (E) Erythrocyte Sphk1 activities in different experimental groups at the conclusion of the study. ( N = 5 per group, data are presented as mean ± SD. ∗∗ p < 0.01). (F) Flow cytometric analysis shows the percentage of immune cells in tumor tissues of eSphk1 −/− and control mice at the experimental endpoints. ( N = 4 per group, data are presented as mean ± SD. ∗ p < 0.05). (G) Fluorescent immunostaining images of tumor tissue, stained with anti-CD31 to detect tumor angiogenesis. Green fluorescence indicates CD31 expression on tumor vasculature. ( N = 3 per group, data are presented as mean ± SD. ∗∗ p < 0.01).

    Journal: iScience

    Article Title: Insufficient erythrocyte-derived S1P: A pathogenic driver and diagnostic biolipid for tumor progression

    doi: 10.1016/j.isci.2026.115216

    Figure Lengend Snippet: Mouse breast cancer model validation shows that changes in erythrocyte S1P affect tumor angiogenesis and promote immune suppression, collectively driving tumor progression (A) Schematic representation of the strategy used to establish the orthotopic breast cancer (Py8119) model in mice. (Created with BioRender.com ). (B) Growth profiles of Py8119 tumors in eSphk1 −/− and control mice. ( N = 6 per group, data are presented as mean ± SD. ∗∗∗∗ p < 0.0001). (C) Representative images of tumors collected from Py8119 tumor-bearing mice in each group. ( N = 5 per group). (D) Tumor weights of Py8119 tumor-bearing mice in each group. ( N = 5 per group, data are presented as mean ± SD. ∗∗ p < 0.01). (E) Erythrocyte Sphk1 activities in different experimental groups at the conclusion of the study. ( N = 5 per group, data are presented as mean ± SD. ∗∗ p < 0.01). (F) Flow cytometric analysis shows the percentage of immune cells in tumor tissues of eSphk1 −/− and control mice at the experimental endpoints. ( N = 4 per group, data are presented as mean ± SD. ∗ p < 0.05). (G) Fluorescent immunostaining images of tumor tissue, stained with anti-CD31 to detect tumor angiogenesis. Green fluorescence indicates CD31 expression on tumor vasculature. ( N = 3 per group, data are presented as mean ± SD. ∗∗ p < 0.01).

    Article Snippet: To assess microvessel density, tumor sections were stained with an anti-CD31 antibody (Proteintech, 28083-1-AP).

    Techniques: Biomarker Discovery, Control, Immunostaining, Staining, Fluorescence, Expressing

    The downregulation of the HIF-1α/VEGF pathway in Sohlh2-overexpressing HepG2 and Hep3B cells. Immunofluorescence experiments detected the expression of HIF-1α (A-B) and CD31 (C-D) in HepG2 and Hep3B cells. Magnification: 200 ×; Scale bar: 50 μm. Data were presented as the mean ± standard deviation, and differences between groups were analyzed using one-way analysis of variance, N = 3.

    Journal: Translational Oncology

    Article Title: Sohlh2 inhibited the angiogenesis of hepatocellular carcinoma through the HIF-1α/VEGFA pathway

    doi: 10.1016/j.tranon.2026.102718

    Figure Lengend Snippet: The downregulation of the HIF-1α/VEGF pathway in Sohlh2-overexpressing HepG2 and Hep3B cells. Immunofluorescence experiments detected the expression of HIF-1α (A-B) and CD31 (C-D) in HepG2 and Hep3B cells. Magnification: 200 ×; Scale bar: 50 μm. Data were presented as the mean ± standard deviation, and differences between groups were analyzed using one-way analysis of variance, N = 3.

    Article Snippet: The primary antibodies used in the study included CD31 (28083-1-AP, Proteintech, 1:200, RRID: AB_2881055) and HIF-1α (1:200, AF1009, Affinity, UK, RRID: AB_2835328).

    Techniques: Immunofluorescence, Expressing, Standard Deviation

    Overexpression Sohlh2 inhibited cell proliferation and angiogenesis of HCC through the downregulation of the HIF-1α/VEGF pathway. (A-B) CCK8 assay of HepG2 and Hep3B cells. (C-D) Angiogenesis was evaluated using tube formation assay. Immunofluorescence experiments detected the expression of HIF-1α (E-F) and CD31 (G-H) in HepG2 and Hep3B cells. Western blot was used to determine the HIF-1α and VEGFA proteins in HepG2 (I) and Hep3B (J) cells. The protein bands were analyzed by Image J software. Magnification: 200 ×; Scale bar: 50 μm. Data were presented as the mean ± standard deviation, and differences between groups were analyzed using one-way analysis of variance, N=3.

    Journal: Translational Oncology

    Article Title: Sohlh2 inhibited the angiogenesis of hepatocellular carcinoma through the HIF-1α/VEGFA pathway

    doi: 10.1016/j.tranon.2026.102718

    Figure Lengend Snippet: Overexpression Sohlh2 inhibited cell proliferation and angiogenesis of HCC through the downregulation of the HIF-1α/VEGF pathway. (A-B) CCK8 assay of HepG2 and Hep3B cells. (C-D) Angiogenesis was evaluated using tube formation assay. Immunofluorescence experiments detected the expression of HIF-1α (E-F) and CD31 (G-H) in HepG2 and Hep3B cells. Western blot was used to determine the HIF-1α and VEGFA proteins in HepG2 (I) and Hep3B (J) cells. The protein bands were analyzed by Image J software. Magnification: 200 ×; Scale bar: 50 μm. Data were presented as the mean ± standard deviation, and differences between groups were analyzed using one-way analysis of variance, N=3.

    Article Snippet: The primary antibodies used in the study included CD31 (28083-1-AP, Proteintech, 1:200, RRID: AB_2881055) and HIF-1α (1:200, AF1009, Affinity, UK, RRID: AB_2835328).

    Techniques: Over Expression, CCK-8 Assay, Tube Formation Assay, Immunofluorescence, Expressing, Western Blot, Software, Standard Deviation

    Sohlh2 inhibited the growth of Hep3B tumors in xenograft nude mice. (A) Tumor images. (B) Tumor size. (C) Mice weight. (D) Tumor weight. Immunofluorescence detection of CD31 (E) and HIF-1α (F) expression in tumor tissues. (G) Some proteins (Sohlh2, HIF-1α, VEGFA) in tumor tissues were measured by Western blot. These proteins were quantified by Image J software. Magnification: 200 ×; Scale bar: 50 μm. Data were presented as the mean ± standard deviation, and differences between groups were analyzed using one-way analysis of variance, N = 5.

    Journal: Translational Oncology

    Article Title: Sohlh2 inhibited the angiogenesis of hepatocellular carcinoma through the HIF-1α/VEGFA pathway

    doi: 10.1016/j.tranon.2026.102718

    Figure Lengend Snippet: Sohlh2 inhibited the growth of Hep3B tumors in xenograft nude mice. (A) Tumor images. (B) Tumor size. (C) Mice weight. (D) Tumor weight. Immunofluorescence detection of CD31 (E) and HIF-1α (F) expression in tumor tissues. (G) Some proteins (Sohlh2, HIF-1α, VEGFA) in tumor tissues were measured by Western blot. These proteins were quantified by Image J software. Magnification: 200 ×; Scale bar: 50 μm. Data were presented as the mean ± standard deviation, and differences between groups were analyzed using one-way analysis of variance, N = 5.

    Article Snippet: The primary antibodies used in the study included CD31 (28083-1-AP, Proteintech, 1:200, RRID: AB_2881055) and HIF-1α (1:200, AF1009, Affinity, UK, RRID: AB_2835328).

    Techniques: Immunofluorescence, Expressing, Western Blot, Software, Standard Deviation