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anti cd36  (Bioss)


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    Structured Review

    Bioss anti cd36
    Anti Cd36, supplied by Bioss, used in various techniques. Bioz Stars score: 94/100, based on 20 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/anti cd36/product/Bioss
    Average 94 stars, based on 20 article reviews
    anti cd36 - by Bioz Stars, 2026-06
    94/100 stars

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    Sanying Ltd rabbit polyclonal antibody cd36
    Detection of protein expression and functional verification of <t>CD36</t> and KIT. (A) Immunohistochemical staining results of CD36 and KIT in gastric cancer tissues and adjacent non-tumor tissues. N: Adjacent normal, T: Tumor. Brown indicates positive expression of CD36 and KIT, blue indicates cell nuclei. (B) Quantitative analysis of immunohistochemical optical density of CD36 and KIT in gastric cancer tissues and adjacent non-tumor tissues. ** denotes P < 0.01, *** denotes P < 0.001. (C) Migration status of MKN45 cells after treated with CD36 and KIT inhibitors; (D) Number of migrated MKN45 cells after treated with CD36 and KIT inhibitors * denotes P < 0.05.** denotes P < 0.01. (E) Detection of cell proliferation ability in MKN45 cells treated with CD36/KIT inhibitors * denotes P < 0.05.** denotes P < 0.01 (F) Differential analysis of cell apoptosis level in MKN45 cells treated with CD36/KIT inhibitors.*** denotes P < 0.001.
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    Proteintech rabbit polyclonal antibodies against cd36
    (A, B) Quantification of total cholesterol levels in multiple WT and RBP4-deficient cell types (A) and in serum from WT and RBP4-deficient mice (B). (C) Heatmap representation of RNA sequencing analysis showing differentially expressed genes related to cholesterol metabolism in WT and RBP4-deficient BMDMs. (D, E) qPCR analysis of <t>CD36</t> mRNA expression in WT and RBP4-deficient BMDMs (D, left) and HEK293T cells (D, right), or in lung tissues from WT and RBP4-deficient mice (E). (F, G) Immunoblotting analysis of CD36 protein levels in multiple WT and RBP4-decficent cells as indicated (F) or in lung tissues from WT and RBP4-deficient mice (G). (H to J) Immunoblotting analysis of protein levels of CD36, total JNK, phosphorylated (p)-JNK, STAT1, and p-STAT1 as indicated in PK-15 or 3D4/21 cells pretreated with SP600125 (SP, 10 μM) or Resatorvid (TAK, 1 μM) for 2 hours, followed by treatment with rpRBP4 for 24 hours. (K) Immunoblotting analysis of protein expression of CD36, NP and M1 in PK-15 cells treated as described in (H), followed by infection with IAV WSN strain (MOI = 0.1) for 24 hours. (L) Immunoblotting analysis of CD36, p-STAT1, total STAT1 and RBP4 protein levels in HEK293T cells transfected with RBP4 expression plasmid or control empty vector, followed by treatment with Ruxolitinib (Ruxo, 5 μM) for 2 hours. (M) Immunoblotting analysis of CD36, p-STAT1, STAT1, STRA6 and RBP4 protein levels in HEK293T cells co-transfected with RBP4 expression plasmid and siRNA for STRA6 or negative control for 36 hours. (N) Immunoblotting analysis of CD36, p-JAK2, JAK2, p-STAT1, STAT1 and RBP4 protein levels in HEK293T cells transfected with RBP4 expression plasmid or control empty vector, followed by treatment with Ruxo (5 μM) for 2 hours or transfected with siRNA for STRA6 or negative control for 36 hours. Data are pooled from three independent experiments (A, B, D, E, mean ± SD) or representative of two independent experiments (F-N). * p < 0.05, ** p < 0.01 (Student’s t -tes t ).
    Rabbit Polyclonal Antibodies Against Cd36, supplied by Proteintech, 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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    Novus Biologicals rabbit anti cd36 polyclonal antibody
    A.U. arbitrary unit, WT THP1 WT-fortilin cells, KO THP1 KO-fortilin cells, MTS 3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2 H -tetrazolium, inner salt; BrdU bromodeoxyuridine, oxLDL oxidized low density lipoprotein, IB immunoblot, <t>α-CD36</t> anti-CD36 antibody, ACs apoptotic cells, FarRed + cells labeled by CellTrace™ Far Red, CFSE + cells labeled by CellTrace™ CSFE. a DNA fragmentation assay of peritoneal macrophages (MΦ) from fortilin WT-MФ and fortilin KO-MФ mice when stimulated by vehicle or various concentrations of oxLDL (n = 5, 5; for each concentration of oxLDL). b DNA fragmentation assay of THP1 WT-fortilin (WT) and THP1 KO-fortilin (KO) cells with or without oxLDL stimulation (n = 3, 3). c MTS growth assay of THP1 WT-fortilin and THP1 KO-fortilin cells (n = 8, 8). d BrdU incorporation assay of induced peritoneal MФ from fortilin WT-MФ-HC and fortilin KO-MФ-HC mice (n = 6, 6). e FC quantification by Oil-Red-O staining of peritoneal MФ induced from fortilin WT-MФ-HC and fortilin KO-MФ-HC mice (n = 4, 4). f flow-cytometry-based FC formation assay using THP1 WT-fortilin and THP1 KO-fortilin cells (n = 3, 3). g JESS-based western blot analyses to assess the expression levels of CD36, an oxLDL receptor, with and without oxLDL stimulation, using THP1 WT-fortilin and THP1 KO-fortilin cells (n = 3, 3). h Efferocytosis assay. Workflow of the assay ①, representative flow cytometry plots ②, and efferocytosis indices of WT and KO cells ③ are shown. In ( e ), the scale bar equals 100 µm. Data are expressed as mean ± s.d., P values—determined by either two-sided Student’s t test ( a – f , h ) or one-way ANOVA with Tukey’s comparison ( g )—are shown.
    Rabbit Anti Cd36 Polyclonal 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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    Average 93 stars, based on 1 article reviews
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    Image Search Results


    Detection of protein expression and functional verification of CD36 and KIT. (A) Immunohistochemical staining results of CD36 and KIT in gastric cancer tissues and adjacent non-tumor tissues. N: Adjacent normal, T: Tumor. Brown indicates positive expression of CD36 and KIT, blue indicates cell nuclei. (B) Quantitative analysis of immunohistochemical optical density of CD36 and KIT in gastric cancer tissues and adjacent non-tumor tissues. ** denotes P < 0.01, *** denotes P < 0.001. (C) Migration status of MKN45 cells after treated with CD36 and KIT inhibitors; (D) Number of migrated MKN45 cells after treated with CD36 and KIT inhibitors * denotes P < 0.05.** denotes P < 0.01. (E) Detection of cell proliferation ability in MKN45 cells treated with CD36/KIT inhibitors * denotes P < 0.05.** denotes P < 0.01 (F) Differential analysis of cell apoptosis level in MKN45 cells treated with CD36/KIT inhibitors.*** denotes P < 0.001.

    Journal: Frontiers in Immunology

    Article Title: Prognostic integration of tumor microenvironment and parthanatos-related genes in gastric cancer: a machine learning-driven risk model and immune landscape profiling

    doi: 10.3389/fimmu.2026.1636331

    Figure Lengend Snippet: Detection of protein expression and functional verification of CD36 and KIT. (A) Immunohistochemical staining results of CD36 and KIT in gastric cancer tissues and adjacent non-tumor tissues. N: Adjacent normal, T: Tumor. Brown indicates positive expression of CD36 and KIT, blue indicates cell nuclei. (B) Quantitative analysis of immunohistochemical optical density of CD36 and KIT in gastric cancer tissues and adjacent non-tumor tissues. ** denotes P < 0.01, *** denotes P < 0.001. (C) Migration status of MKN45 cells after treated with CD36 and KIT inhibitors; (D) Number of migrated MKN45 cells after treated with CD36 and KIT inhibitors * denotes P < 0.05.** denotes P < 0.01. (E) Detection of cell proliferation ability in MKN45 cells treated with CD36/KIT inhibitors * denotes P < 0.05.** denotes P < 0.01 (F) Differential analysis of cell apoptosis level in MKN45 cells treated with CD36/KIT inhibitors.*** denotes P < 0.001.

    Article Snippet: The membranes were blocked with 5% non-fat milk on a shaker at room temperature for 2 h, followed by incubation with primary antibodies overnight at 4°C: mouse monoclonal antibody GAPDH (36KD, 60004-1-Ig, Sanying, China); rabbit polyclonal antibody CD36 (88KD, 18836-1-AP, Sanying, China); rabbit polyclonal antibody KIT (110KD, AF6153, Affinity, USA).

    Techniques: Expressing, Functional Assay, Immunohistochemical staining, Staining, Migration

    Correlation analysis of CD36, KIT with TME and PA. (A) Detection of IFN-γ secretion level in MKN45 cells after treatment with CD36 and KIT inhibitors. *** denotes P < 0.001. (B) Detection of TNF-α secretion level in MKN45 cells after treatment with CD36 and KIT inhibitors. *** denotes P < 0.001.**** denotes P < 0.0001. (C) Detection of IL-10 secretion level in MKN45 cells after treatment with CD36 and KIT inhibitors.** denotes P < 0.01. *** denotes P < 0.001. (D) Immunofluorescence staining results of PARP-1 in MKN45 cells after treatment with CD36 and KIT inhibitors. (E) Immunofluorescence staining results of AIFM1 in MKN45 cells after treatment with CD36 and KIT inhibitors. (F) Differential analysis of immunofluorescence optical density of PARP-1 in MKN45 cells after treatment with CD36 and KIT inhibitors. *** denotes P < 0.001. (G) Differential analysis of the ratio of nuclear to total immunofluorescence optical density of AIFM1 in MKN45 cells after treatment with CD36 and KIT inhibitors.**** denotes P < 0.0001.

    Journal: Frontiers in Immunology

    Article Title: Prognostic integration of tumor microenvironment and parthanatos-related genes in gastric cancer: a machine learning-driven risk model and immune landscape profiling

    doi: 10.3389/fimmu.2026.1636331

    Figure Lengend Snippet: Correlation analysis of CD36, KIT with TME and PA. (A) Detection of IFN-γ secretion level in MKN45 cells after treatment with CD36 and KIT inhibitors. *** denotes P < 0.001. (B) Detection of TNF-α secretion level in MKN45 cells after treatment with CD36 and KIT inhibitors. *** denotes P < 0.001.**** denotes P < 0.0001. (C) Detection of IL-10 secretion level in MKN45 cells after treatment with CD36 and KIT inhibitors.** denotes P < 0.01. *** denotes P < 0.001. (D) Immunofluorescence staining results of PARP-1 in MKN45 cells after treatment with CD36 and KIT inhibitors. (E) Immunofluorescence staining results of AIFM1 in MKN45 cells after treatment with CD36 and KIT inhibitors. (F) Differential analysis of immunofluorescence optical density of PARP-1 in MKN45 cells after treatment with CD36 and KIT inhibitors. *** denotes P < 0.001. (G) Differential analysis of the ratio of nuclear to total immunofluorescence optical density of AIFM1 in MKN45 cells after treatment with CD36 and KIT inhibitors.**** denotes P < 0.0001.

    Article Snippet: The membranes were blocked with 5% non-fat milk on a shaker at room temperature for 2 h, followed by incubation with primary antibodies overnight at 4°C: mouse monoclonal antibody GAPDH (36KD, 60004-1-Ig, Sanying, China); rabbit polyclonal antibody CD36 (88KD, 18836-1-AP, Sanying, China); rabbit polyclonal antibody KIT (110KD, AF6153, Affinity, USA).

    Techniques: Immunofluorescence, Staining

    (A, B) Quantification of total cholesterol levels in multiple WT and RBP4-deficient cell types (A) and in serum from WT and RBP4-deficient mice (B). (C) Heatmap representation of RNA sequencing analysis showing differentially expressed genes related to cholesterol metabolism in WT and RBP4-deficient BMDMs. (D, E) qPCR analysis of CD36 mRNA expression in WT and RBP4-deficient BMDMs (D, left) and HEK293T cells (D, right), or in lung tissues from WT and RBP4-deficient mice (E). (F, G) Immunoblotting analysis of CD36 protein levels in multiple WT and RBP4-decficent cells as indicated (F) or in lung tissues from WT and RBP4-deficient mice (G). (H to J) Immunoblotting analysis of protein levels of CD36, total JNK, phosphorylated (p)-JNK, STAT1, and p-STAT1 as indicated in PK-15 or 3D4/21 cells pretreated with SP600125 (SP, 10 μM) or Resatorvid (TAK, 1 μM) for 2 hours, followed by treatment with rpRBP4 for 24 hours. (K) Immunoblotting analysis of protein expression of CD36, NP and M1 in PK-15 cells treated as described in (H), followed by infection with IAV WSN strain (MOI = 0.1) for 24 hours. (L) Immunoblotting analysis of CD36, p-STAT1, total STAT1 and RBP4 protein levels in HEK293T cells transfected with RBP4 expression plasmid or control empty vector, followed by treatment with Ruxolitinib (Ruxo, 5 μM) for 2 hours. (M) Immunoblotting analysis of CD36, p-STAT1, STAT1, STRA6 and RBP4 protein levels in HEK293T cells co-transfected with RBP4 expression plasmid and siRNA for STRA6 or negative control for 36 hours. (N) Immunoblotting analysis of CD36, p-JAK2, JAK2, p-STAT1, STAT1 and RBP4 protein levels in HEK293T cells transfected with RBP4 expression plasmid or control empty vector, followed by treatment with Ruxo (5 μM) for 2 hours or transfected with siRNA for STRA6 or negative control for 36 hours. Data are pooled from three independent experiments (A, B, D, E, mean ± SD) or representative of two independent experiments (F-N). * p < 0.05, ** p < 0.01 (Student’s t -tes t ).

    Journal: PLOS Pathogens

    Article Title: Retinol binding protein 4 enhances cellular cholesterol uptake to facilitate influenza A virus infection

    doi: 10.1371/journal.ppat.1013623

    Figure Lengend Snippet: (A, B) Quantification of total cholesterol levels in multiple WT and RBP4-deficient cell types (A) and in serum from WT and RBP4-deficient mice (B). (C) Heatmap representation of RNA sequencing analysis showing differentially expressed genes related to cholesterol metabolism in WT and RBP4-deficient BMDMs. (D, E) qPCR analysis of CD36 mRNA expression in WT and RBP4-deficient BMDMs (D, left) and HEK293T cells (D, right), or in lung tissues from WT and RBP4-deficient mice (E). (F, G) Immunoblotting analysis of CD36 protein levels in multiple WT and RBP4-decficent cells as indicated (F) or in lung tissues from WT and RBP4-deficient mice (G). (H to J) Immunoblotting analysis of protein levels of CD36, total JNK, phosphorylated (p)-JNK, STAT1, and p-STAT1 as indicated in PK-15 or 3D4/21 cells pretreated with SP600125 (SP, 10 μM) or Resatorvid (TAK, 1 μM) for 2 hours, followed by treatment with rpRBP4 for 24 hours. (K) Immunoblotting analysis of protein expression of CD36, NP and M1 in PK-15 cells treated as described in (H), followed by infection with IAV WSN strain (MOI = 0.1) for 24 hours. (L) Immunoblotting analysis of CD36, p-STAT1, total STAT1 and RBP4 protein levels in HEK293T cells transfected with RBP4 expression plasmid or control empty vector, followed by treatment with Ruxolitinib (Ruxo, 5 μM) for 2 hours. (M) Immunoblotting analysis of CD36, p-STAT1, STAT1, STRA6 and RBP4 protein levels in HEK293T cells co-transfected with RBP4 expression plasmid and siRNA for STRA6 or negative control for 36 hours. (N) Immunoblotting analysis of CD36, p-JAK2, JAK2, p-STAT1, STAT1 and RBP4 protein levels in HEK293T cells transfected with RBP4 expression plasmid or control empty vector, followed by treatment with Ruxo (5 μM) for 2 hours or transfected with siRNA for STRA6 or negative control for 36 hours. Data are pooled from three independent experiments (A, B, D, E, mean ± SD) or representative of two independent experiments (F-N). * p < 0.05, ** p < 0.01 (Student’s t -tes t ).

    Article Snippet: The primary antibodies used in this study were sourced from commercial suppliers as follows: Rabbit polyclonal antibodies against RBP4 (1 : 2,000, 11774–1-AP), CD36 (1 : 2,000, 18836–1-AP), STRA6 (1 : 3,000, 22001–1-AP), p65 (1 : 1,000, 10745–1-AP) and β-actin (1 : 20,000, 66009–1-lg) were purchased from Proteintech Group Inc. Rabbit polyclonal antibodies against CD36 (1 : 1,000, CY5796) and FLAG (1 : 10,000, AB0030) were purchased from Abways.

    Techniques: RNA Sequencing, Expressing, Western Blot, Infection, Transfection, Plasmid Preparation, Control, Negative Control

    (A to D) Confocal microscopy (A and B) or flow cytometry (C and D) analysis of cholesterol uptake by Dil-OxLDL in WT and RBP4-deficient HEK293T cells or BMDMs. Scale bars, 100 μm. Statistics of mean fluorescence intensity was calculated by Image J software (A and B, right) or Flow Jo software (C and D, right). (E, F) Flow cytometry analysis of cholesterol uptake by Dil-OxLDL in WT, RBP4-deficient and CD36 overexpressing RBP4-deficient HEK293T cells (E) and BMDMs (F). Mean fluorescence intensities were quantified with Flow Jo software. (G, H) Flow cytometry analysis of SA expression in HEK293T cells (G, upper) transfected with hCD36 plasmid or in stable CD36-overexpressing iBMDMs (H, upper). Cells were left untreated or incubated with cholesterol for 1 hour at 37°C, followed by staining with SNA or MAL. Mean fluorescence intensities were quantified by Flow Jo software (lower panels). (I) Confocal microscopy analysis of SA expression and distribution in WT and CD36-overexpressing iBMDMs. Cells were left untreated or incubated with cholesterol for 1 hour at 37°C, followed by staining with SNA or MAL (green). Cell membranes were stained with Dil dye (red), and nuclei were counterstained with DAPI (blue). Data are representative (A-F, left, G, H, upper and I) or pooled from at least three independent experiments (A-F, right, G and H, lower, mean ± SD). * p < 0.05, ** p < 0.01, *** p < 0.001 (Student’s t -test).

    Journal: PLOS Pathogens

    Article Title: Retinol binding protein 4 enhances cellular cholesterol uptake to facilitate influenza A virus infection

    doi: 10.1371/journal.ppat.1013623

    Figure Lengend Snippet: (A to D) Confocal microscopy (A and B) or flow cytometry (C and D) analysis of cholesterol uptake by Dil-OxLDL in WT and RBP4-deficient HEK293T cells or BMDMs. Scale bars, 100 μm. Statistics of mean fluorescence intensity was calculated by Image J software (A and B, right) or Flow Jo software (C and D, right). (E, F) Flow cytometry analysis of cholesterol uptake by Dil-OxLDL in WT, RBP4-deficient and CD36 overexpressing RBP4-deficient HEK293T cells (E) and BMDMs (F). Mean fluorescence intensities were quantified with Flow Jo software. (G, H) Flow cytometry analysis of SA expression in HEK293T cells (G, upper) transfected with hCD36 plasmid or in stable CD36-overexpressing iBMDMs (H, upper). Cells were left untreated or incubated with cholesterol for 1 hour at 37°C, followed by staining with SNA or MAL. Mean fluorescence intensities were quantified by Flow Jo software (lower panels). (I) Confocal microscopy analysis of SA expression and distribution in WT and CD36-overexpressing iBMDMs. Cells were left untreated or incubated with cholesterol for 1 hour at 37°C, followed by staining with SNA or MAL (green). Cell membranes were stained with Dil dye (red), and nuclei were counterstained with DAPI (blue). Data are representative (A-F, left, G, H, upper and I) or pooled from at least three independent experiments (A-F, right, G and H, lower, mean ± SD). * p < 0.05, ** p < 0.01, *** p < 0.001 (Student’s t -test).

    Article Snippet: The primary antibodies used in this study were sourced from commercial suppliers as follows: Rabbit polyclonal antibodies against RBP4 (1 : 2,000, 11774–1-AP), CD36 (1 : 2,000, 18836–1-AP), STRA6 (1 : 3,000, 22001–1-AP), p65 (1 : 1,000, 10745–1-AP) and β-actin (1 : 20,000, 66009–1-lg) were purchased from Proteintech Group Inc. Rabbit polyclonal antibodies against CD36 (1 : 1,000, CY5796) and FLAG (1 : 10,000, AB0030) were purchased from Abways.

    Techniques: Confocal Microscopy, Flow Cytometry, Fluorescence, Software, Expressing, Transfection, Plasmid Preparation, Incubation, Staining

    (A, B) Flow cytometry analysis of α-2,3-linked SA or α-2,6-linked SA in WT, RBP4-deficient and CD36 overexpressing RBP4-deficient HEK293T cells, as wells as murine BMDMs transduced with CD36 retrovirus. Mean fluorescence intensities were quantified with FlowJo software. (C, D) qPCR analysis of vRNA levels of the NP gene or NP and M1 mRNA expression in HEK293T cells (C) or BMDMs (D) infected with IAV WSN strain (MOI = 5) during the viral attachment stage. (E) Flow cytometry analysis of α-2,3-linked SA or α-2,6-linked SA in WT and stable CD36-overexpressing iBMDMs cultured in serum-free medium. Cells were cultured with serum-free medium for 6 hours and subsequently stained with Lectins. Mean fluorescence intensities were quantified with FlowJo software. Data are pooled from three independent experiments (A-E, mean ± SD). * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001 (Student’s t -test).

    Journal: PLOS Pathogens

    Article Title: Retinol binding protein 4 enhances cellular cholesterol uptake to facilitate influenza A virus infection

    doi: 10.1371/journal.ppat.1013623

    Figure Lengend Snippet: (A, B) Flow cytometry analysis of α-2,3-linked SA or α-2,6-linked SA in WT, RBP4-deficient and CD36 overexpressing RBP4-deficient HEK293T cells, as wells as murine BMDMs transduced with CD36 retrovirus. Mean fluorescence intensities were quantified with FlowJo software. (C, D) qPCR analysis of vRNA levels of the NP gene or NP and M1 mRNA expression in HEK293T cells (C) or BMDMs (D) infected with IAV WSN strain (MOI = 5) during the viral attachment stage. (E) Flow cytometry analysis of α-2,3-linked SA or α-2,6-linked SA in WT and stable CD36-overexpressing iBMDMs cultured in serum-free medium. Cells were cultured with serum-free medium for 6 hours and subsequently stained with Lectins. Mean fluorescence intensities were quantified with FlowJo software. Data are pooled from three independent experiments (A-E, mean ± SD). * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001 (Student’s t -test).

    Article Snippet: The primary antibodies used in this study were sourced from commercial suppliers as follows: Rabbit polyclonal antibodies against RBP4 (1 : 2,000, 11774–1-AP), CD36 (1 : 2,000, 18836–1-AP), STRA6 (1 : 3,000, 22001–1-AP), p65 (1 : 1,000, 10745–1-AP) and β-actin (1 : 20,000, 66009–1-lg) were purchased from Proteintech Group Inc. Rabbit polyclonal antibodies against CD36 (1 : 1,000, CY5796) and FLAG (1 : 10,000, AB0030) were purchased from Abways.

    Techniques: Flow Cytometry, Transduction, Fluorescence, Software, Expressing, Infection, Cell Culture, Staining

    (A) Experimental scheme for lentiviral transduction and influenza virus infection in mice. WT and RBP4-deficient mice were intravenously injected with lentivirus (10 9 PFU in 200 μL per mouse) followed by infection with 10 4 PFU of IAV (WSN strain) 5 days later. Lungs were collected 3 days post-IAV infection. (B) qPCR analysis of CD36 mRNA levels in lung tissues from WT, RBP4-deficient, and CD36-overexpressing RBP4-deficient mice as treated in (A). (C) Body weight changes of indicated mouse genotypes at day 3 post-IAV infection. (D) Plaque assay analysis of virus titer in lung tissues from mice described in (A). (E, F) Immunofluorescence images (E, left) and quantitative analysis of NP protein intensity (E, right) or immunoblotting analysis of M1, NP and CD36 protein expression (F) in lung tissues from the mice described in (A). Mean fluorescence intensity was determined by Image J software (E, right). Scale bars, 100 μm. (G, H) Representative H&E-stained lung sections (G) and corresponding histopathological scores (H) from indicated groups. Each dot in (B-D, H) represents an individual mouse. (I) Proposed model of RBP4-mediated promotion of influenza virus infection. Created in BioRender. Huang, L. (2025) https://BioRender.com/rll2ll1 . Data are representative of two independent experiments (E-G). * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001 (Student’s t -test).

    Journal: PLOS Pathogens

    Article Title: Retinol binding protein 4 enhances cellular cholesterol uptake to facilitate influenza A virus infection

    doi: 10.1371/journal.ppat.1013623

    Figure Lengend Snippet: (A) Experimental scheme for lentiviral transduction and influenza virus infection in mice. WT and RBP4-deficient mice were intravenously injected with lentivirus (10 9 PFU in 200 μL per mouse) followed by infection with 10 4 PFU of IAV (WSN strain) 5 days later. Lungs were collected 3 days post-IAV infection. (B) qPCR analysis of CD36 mRNA levels in lung tissues from WT, RBP4-deficient, and CD36-overexpressing RBP4-deficient mice as treated in (A). (C) Body weight changes of indicated mouse genotypes at day 3 post-IAV infection. (D) Plaque assay analysis of virus titer in lung tissues from mice described in (A). (E, F) Immunofluorescence images (E, left) and quantitative analysis of NP protein intensity (E, right) or immunoblotting analysis of M1, NP and CD36 protein expression (F) in lung tissues from the mice described in (A). Mean fluorescence intensity was determined by Image J software (E, right). Scale bars, 100 μm. (G, H) Representative H&E-stained lung sections (G) and corresponding histopathological scores (H) from indicated groups. Each dot in (B-D, H) represents an individual mouse. (I) Proposed model of RBP4-mediated promotion of influenza virus infection. Created in BioRender. Huang, L. (2025) https://BioRender.com/rll2ll1 . Data are representative of two independent experiments (E-G). * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001 (Student’s t -test).

    Article Snippet: The primary antibodies used in this study were sourced from commercial suppliers as follows: Rabbit polyclonal antibodies against RBP4 (1 : 2,000, 11774–1-AP), CD36 (1 : 2,000, 18836–1-AP), STRA6 (1 : 3,000, 22001–1-AP), p65 (1 : 1,000, 10745–1-AP) and β-actin (1 : 20,000, 66009–1-lg) were purchased from Proteintech Group Inc. Rabbit polyclonal antibodies against CD36 (1 : 1,000, CY5796) and FLAG (1 : 10,000, AB0030) were purchased from Abways.

    Techniques: Transduction, Virus, Infection, Injection, Plaque Assay, Immunofluorescence, Western Blot, Expressing, Fluorescence, Software, Staining

    A.U. arbitrary unit, WT THP1 WT-fortilin cells, KO THP1 KO-fortilin cells, MTS 3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2 H -tetrazolium, inner salt; BrdU bromodeoxyuridine, oxLDL oxidized low density lipoprotein, IB immunoblot, α-CD36 anti-CD36 antibody, ACs apoptotic cells, FarRed + cells labeled by CellTrace™ Far Red, CFSE + cells labeled by CellTrace™ CSFE. a DNA fragmentation assay of peritoneal macrophages (MΦ) from fortilin WT-MФ and fortilin KO-MФ mice when stimulated by vehicle or various concentrations of oxLDL (n = 5, 5; for each concentration of oxLDL). b DNA fragmentation assay of THP1 WT-fortilin (WT) and THP1 KO-fortilin (KO) cells with or without oxLDL stimulation (n = 3, 3). c MTS growth assay of THP1 WT-fortilin and THP1 KO-fortilin cells (n = 8, 8). d BrdU incorporation assay of induced peritoneal MФ from fortilin WT-MФ-HC and fortilin KO-MФ-HC mice (n = 6, 6). e FC quantification by Oil-Red-O staining of peritoneal MФ induced from fortilin WT-MФ-HC and fortilin KO-MФ-HC mice (n = 4, 4). f flow-cytometry-based FC formation assay using THP1 WT-fortilin and THP1 KO-fortilin cells (n = 3, 3). g JESS-based western blot analyses to assess the expression levels of CD36, an oxLDL receptor, with and without oxLDL stimulation, using THP1 WT-fortilin and THP1 KO-fortilin cells (n = 3, 3). h Efferocytosis assay. Workflow of the assay ①, representative flow cytometry plots ②, and efferocytosis indices of WT and KO cells ③ are shown. In ( e ), the scale bar equals 100 µm. Data are expressed as mean ± s.d., P values—determined by either two-sided Student’s t test ( a – f , h ) or one-way ANOVA with Tukey’s comparison ( g )—are shown.

    Journal: Communications Biology

    Article Title: Fortilin deficiency induces anti-atherosclerotic phenotypes in macrophages and protects hypercholesterolemic mice against atherosclerosis

    doi: 10.1038/s42003-025-08425-w

    Figure Lengend Snippet: A.U. arbitrary unit, WT THP1 WT-fortilin cells, KO THP1 KO-fortilin cells, MTS 3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2 H -tetrazolium, inner salt; BrdU bromodeoxyuridine, oxLDL oxidized low density lipoprotein, IB immunoblot, α-CD36 anti-CD36 antibody, ACs apoptotic cells, FarRed + cells labeled by CellTrace™ Far Red, CFSE + cells labeled by CellTrace™ CSFE. a DNA fragmentation assay of peritoneal macrophages (MΦ) from fortilin WT-MФ and fortilin KO-MФ mice when stimulated by vehicle or various concentrations of oxLDL (n = 5, 5; for each concentration of oxLDL). b DNA fragmentation assay of THP1 WT-fortilin (WT) and THP1 KO-fortilin (KO) cells with or without oxLDL stimulation (n = 3, 3). c MTS growth assay of THP1 WT-fortilin and THP1 KO-fortilin cells (n = 8, 8). d BrdU incorporation assay of induced peritoneal MФ from fortilin WT-MФ-HC and fortilin KO-MФ-HC mice (n = 6, 6). e FC quantification by Oil-Red-O staining of peritoneal MФ induced from fortilin WT-MФ-HC and fortilin KO-MФ-HC mice (n = 4, 4). f flow-cytometry-based FC formation assay using THP1 WT-fortilin and THP1 KO-fortilin cells (n = 3, 3). g JESS-based western blot analyses to assess the expression levels of CD36, an oxLDL receptor, with and without oxLDL stimulation, using THP1 WT-fortilin and THP1 KO-fortilin cells (n = 3, 3). h Efferocytosis assay. Workflow of the assay ①, representative flow cytometry plots ②, and efferocytosis indices of WT and KO cells ③ are shown. In ( e ), the scale bar equals 100 µm. Data are expressed as mean ± s.d., P values—determined by either two-sided Student’s t test ( a – f , h ) or one-way ANOVA with Tukey’s comparison ( g )—are shown.

    Article Snippet: We used the following primary and secondary antibodies: Primary antibody: Rabbit anti-CD36 polyclonal antibody (Novus, St. Louis, MO, USA; Catalog #: NB400-145; 1:50 dilution) Secondary antibody: anti-rabbit secondary to horseradish peroxidase (HRP) mAb (ProteinSimple®, Catalog #: 042-206; 1:1 dilution).

    Techniques: Western Blot, Labeling, DNA Fragmentation Assay, Concentration Assay, Growth Assay, BrdU Incorporation Assay, Staining, Flow Cytometry, Tube Formation Assay, Expressing, Comparison