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cd163 fitc  (Bioss)


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    Structured Review

    Bioss cd163 fitc
    M1 and M2 macrophage characterization by qPCR (a) and Flow Cytometry (b). The M1 phenotype is characterized by CD68 and CD80 gene expressions, while <t>CD163,</t> ARG1, and CD206 gene expressions are present in the M2 macrophage phenotype. All results are expressed as mean ± standard deviation (SD) from two independent experiments, each performed with a minimum of three replicates. Statistically significant differences are indicated by multiplicity-adjusted p -values: * p < 0.05, ** p < 0.005, *** p < 0.001, and **** p < 0.0001; (ns) denotes no significant difference. Data were analyzed using one-way ANOVA followed by post hoc Dunnett’s correction.
    Cd163 Fitc, supplied by Bioss, used in various techniques. Bioz Stars score: 91/100, based on 8 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/cd163 fitc/product/Bioss
    Average 91 stars, based on 8 article reviews
    cd163 fitc - by Bioz Stars, 2026-03
    91/100 stars

    Images

    1) Product Images from "Gold Nanoparticles (AuNPs) Coadministered with a β-Blocker Prevent Liver Fibrosis Caused by Ethanol and Methamphetamine in Rats by Downregulating the Expression of M2 Macrophages"

    Article Title: Gold Nanoparticles (AuNPs) Coadministered with a β-Blocker Prevent Liver Fibrosis Caused by Ethanol and Methamphetamine in Rats by Downregulating the Expression of M2 Macrophages

    Journal: ACS Omega

    doi: 10.1021/acsomega.4c10118

    M1 and M2 macrophage characterization by qPCR (a) and Flow Cytometry (b). The M1 phenotype is characterized by CD68 and CD80 gene expressions, while CD163, ARG1, and CD206 gene expressions are present in the M2 macrophage phenotype. All results are expressed as mean ± standard deviation (SD) from two independent experiments, each performed with a minimum of three replicates. Statistically significant differences are indicated by multiplicity-adjusted p -values: * p < 0.05, ** p < 0.005, *** p < 0.001, and **** p < 0.0001; (ns) denotes no significant difference. Data were analyzed using one-way ANOVA followed by post hoc Dunnett’s correction.
    Figure Legend Snippet: M1 and M2 macrophage characterization by qPCR (a) and Flow Cytometry (b). The M1 phenotype is characterized by CD68 and CD80 gene expressions, while CD163, ARG1, and CD206 gene expressions are present in the M2 macrophage phenotype. All results are expressed as mean ± standard deviation (SD) from two independent experiments, each performed with a minimum of three replicates. Statistically significant differences are indicated by multiplicity-adjusted p -values: * p < 0.05, ** p < 0.005, *** p < 0.001, and **** p < 0.0001; (ns) denotes no significant difference. Data were analyzed using one-way ANOVA followed by post hoc Dunnett’s correction.

    Techniques Used: Flow Cytometry, Standard Deviation

    Liver expression of AKT (a–c), TGFb (d–f), CD163 (g–i), CD86 (j–l), NFkB (m–o), IL-10 (p–r), and Pi3K (s–u) in Wistar rats submitted to alcoholic liver injury.
    Figure Legend Snippet: Liver expression of AKT (a–c), TGFb (d–f), CD163 (g–i), CD86 (j–l), NFkB (m–o), IL-10 (p–r), and Pi3K (s–u) in Wistar rats submitted to alcoholic liver injury.

    Techniques Used: Expressing

    Liver expression of AKT (a), TGFb (b), CD163 (c), CD86 (d), NFkB (e), IL-10 (f), and Pi3K (g). All data are presented as mean ± SD. Fluorescence intensity data was generated by Zeiss Zen Lite software for each picture taken (10 images per subject, 5 animals per group, 400× magnification). Statistically significant differences are indicated as follows: * p < 0.05, ** p < 0.005, *** p < 0.001, and **** p < 0.0001; (ns) denotes no significant difference. Statistical analysis was performed using one-way ANOVA with Dunnett’s post hoc correction for multiple comparisons.
    Figure Legend Snippet: Liver expression of AKT (a), TGFb (b), CD163 (c), CD86 (d), NFkB (e), IL-10 (f), and Pi3K (g). All data are presented as mean ± SD. Fluorescence intensity data was generated by Zeiss Zen Lite software for each picture taken (10 images per subject, 5 animals per group, 400× magnification). Statistically significant differences are indicated as follows: * p < 0.05, ** p < 0.005, *** p < 0.001, and **** p < 0.0001; (ns) denotes no significant difference. Statistical analysis was performed using one-way ANOVA with Dunnett’s post hoc correction for multiple comparisons.

    Techniques Used: Expressing, Fluorescence, Generated, Software

    Comparison between M1 (CD86) and M2 (CD163) immunofluorescence labeling in Wistar rats submitted to alcoholic liver injury. All data are presented as mean ± SD. Fluorescence intensity measurements were obtained using Zeiss Zen Lite software, with 10 images captured per subject, 5 animals per group, at 400× magnification. Statistically significant differences are denoted as * p < 0.05 and ** p < 0.005; (ns) indicates no significant difference. Data were analyzed using two-way ANOVA with Sidak’s post hoc correction.
    Figure Legend Snippet: Comparison between M1 (CD86) and M2 (CD163) immunofluorescence labeling in Wistar rats submitted to alcoholic liver injury. All data are presented as mean ± SD. Fluorescence intensity measurements were obtained using Zeiss Zen Lite software, with 10 images captured per subject, 5 animals per group, at 400× magnification. Statistically significant differences are denoted as * p < 0.05 and ** p < 0.005; (ns) indicates no significant difference. Data were analyzed using two-way ANOVA with Sidak’s post hoc correction.

    Techniques Used: Comparison, Immunofluorescence, Labeling, Fluorescence, Software



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    M1 and M2 macrophage characterization by qPCR (a) and Flow Cytometry (b). The M1 phenotype is characterized by CD68 and CD80 gene expressions, while <t>CD163,</t> ARG1, and CD206 gene expressions are present in the M2 macrophage phenotype. All results are expressed as mean ± standard deviation (SD) from two independent experiments, each performed with a minimum of three replicates. Statistically significant differences are indicated by multiplicity-adjusted p -values: * p < 0.05, ** p < 0.005, *** p < 0.001, and **** p < 0.0001; (ns) denotes no significant difference. Data were analyzed using one-way ANOVA followed by post hoc Dunnett’s correction.
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    Image Search Results


    M1 and M2 macrophage characterization by qPCR (a) and Flow Cytometry (b). The M1 phenotype is characterized by CD68 and CD80 gene expressions, while CD163, ARG1, and CD206 gene expressions are present in the M2 macrophage phenotype. All results are expressed as mean ± standard deviation (SD) from two independent experiments, each performed with a minimum of three replicates. Statistically significant differences are indicated by multiplicity-adjusted p -values: * p < 0.05, ** p < 0.005, *** p < 0.001, and **** p < 0.0001; (ns) denotes no significant difference. Data were analyzed using one-way ANOVA followed by post hoc Dunnett’s correction.

    Journal: ACS Omega

    Article Title: Gold Nanoparticles (AuNPs) Coadministered with a β-Blocker Prevent Liver Fibrosis Caused by Ethanol and Methamphetamine in Rats by Downregulating the Expression of M2 Macrophages

    doi: 10.1021/acsomega.4c10118

    Figure Lengend Snippet: M1 and M2 macrophage characterization by qPCR (a) and Flow Cytometry (b). The M1 phenotype is characterized by CD68 and CD80 gene expressions, while CD163, ARG1, and CD206 gene expressions are present in the M2 macrophage phenotype. All results are expressed as mean ± standard deviation (SD) from two independent experiments, each performed with a minimum of three replicates. Statistically significant differences are indicated by multiplicity-adjusted p -values: * p < 0.05, ** p < 0.005, *** p < 0.001, and **** p < 0.0001; (ns) denotes no significant difference. Data were analyzed using one-way ANOVA followed by post hoc Dunnett’s correction.

    Article Snippet: Fluorescently labeled antibodies, including CD163-FITC (200 ng; Bioss, bs-2527R-FITC) and CD68-PerCP (200 ng; Abcam, ab220509), were used for specific staining.

    Techniques: Flow Cytometry, Standard Deviation

    Liver expression of AKT (a–c), TGFb (d–f), CD163 (g–i), CD86 (j–l), NFkB (m–o), IL-10 (p–r), and Pi3K (s–u) in Wistar rats submitted to alcoholic liver injury.

    Journal: ACS Omega

    Article Title: Gold Nanoparticles (AuNPs) Coadministered with a β-Blocker Prevent Liver Fibrosis Caused by Ethanol and Methamphetamine in Rats by Downregulating the Expression of M2 Macrophages

    doi: 10.1021/acsomega.4c10118

    Figure Lengend Snippet: Liver expression of AKT (a–c), TGFb (d–f), CD163 (g–i), CD86 (j–l), NFkB (m–o), IL-10 (p–r), and Pi3K (s–u) in Wistar rats submitted to alcoholic liver injury.

    Article Snippet: Fluorescently labeled antibodies, including CD163-FITC (200 ng; Bioss, bs-2527R-FITC) and CD68-PerCP (200 ng; Abcam, ab220509), were used for specific staining.

    Techniques: Expressing

    Liver expression of AKT (a), TGFb (b), CD163 (c), CD86 (d), NFkB (e), IL-10 (f), and Pi3K (g). All data are presented as mean ± SD. Fluorescence intensity data was generated by Zeiss Zen Lite software for each picture taken (10 images per subject, 5 animals per group, 400× magnification). Statistically significant differences are indicated as follows: * p < 0.05, ** p < 0.005, *** p < 0.001, and **** p < 0.0001; (ns) denotes no significant difference. Statistical analysis was performed using one-way ANOVA with Dunnett’s post hoc correction for multiple comparisons.

    Journal: ACS Omega

    Article Title: Gold Nanoparticles (AuNPs) Coadministered with a β-Blocker Prevent Liver Fibrosis Caused by Ethanol and Methamphetamine in Rats by Downregulating the Expression of M2 Macrophages

    doi: 10.1021/acsomega.4c10118

    Figure Lengend Snippet: Liver expression of AKT (a), TGFb (b), CD163 (c), CD86 (d), NFkB (e), IL-10 (f), and Pi3K (g). All data are presented as mean ± SD. Fluorescence intensity data was generated by Zeiss Zen Lite software for each picture taken (10 images per subject, 5 animals per group, 400× magnification). Statistically significant differences are indicated as follows: * p < 0.05, ** p < 0.005, *** p < 0.001, and **** p < 0.0001; (ns) denotes no significant difference. Statistical analysis was performed using one-way ANOVA with Dunnett’s post hoc correction for multiple comparisons.

    Article Snippet: Fluorescently labeled antibodies, including CD163-FITC (200 ng; Bioss, bs-2527R-FITC) and CD68-PerCP (200 ng; Abcam, ab220509), were used for specific staining.

    Techniques: Expressing, Fluorescence, Generated, Software

    Comparison between M1 (CD86) and M2 (CD163) immunofluorescence labeling in Wistar rats submitted to alcoholic liver injury. All data are presented as mean ± SD. Fluorescence intensity measurements were obtained using Zeiss Zen Lite software, with 10 images captured per subject, 5 animals per group, at 400× magnification. Statistically significant differences are denoted as * p < 0.05 and ** p < 0.005; (ns) indicates no significant difference. Data were analyzed using two-way ANOVA with Sidak’s post hoc correction.

    Journal: ACS Omega

    Article Title: Gold Nanoparticles (AuNPs) Coadministered with a β-Blocker Prevent Liver Fibrosis Caused by Ethanol and Methamphetamine in Rats by Downregulating the Expression of M2 Macrophages

    doi: 10.1021/acsomega.4c10118

    Figure Lengend Snippet: Comparison between M1 (CD86) and M2 (CD163) immunofluorescence labeling in Wistar rats submitted to alcoholic liver injury. All data are presented as mean ± SD. Fluorescence intensity measurements were obtained using Zeiss Zen Lite software, with 10 images captured per subject, 5 animals per group, at 400× magnification. Statistically significant differences are denoted as * p < 0.05 and ** p < 0.005; (ns) indicates no significant difference. Data were analyzed using two-way ANOVA with Sidak’s post hoc correction.

    Article Snippet: Fluorescently labeled antibodies, including CD163-FITC (200 ng; Bioss, bs-2527R-FITC) and CD68-PerCP (200 ng; Abcam, ab220509), were used for specific staining.

    Techniques: Comparison, Immunofluorescence, Labeling, Fluorescence, Software

    MRO expression is elevated in BC tissues and is associated with poor prognosis. ( A - B ) MRO were significantly elevated in BC tissues. ( C ) Pair analysis showed 66.01% BC patients with elevated MRO expression. ( D ) ROC analysis of MRO with AUC as 0.747. ( E - F ) Survival analysis demonstrated high MRO expression correlates with lower overall survival and disease-free survival days. ( G ) Elevated MRO levels linked to high lymph node invasion cases. ( H - I ) MRO proteins had positive relationship with CD68 and CD163 in BC tissues. ( J ) The mIHC results indicated that MRO expression was positively associated with CD163 expression in BC tissues. White bar means 50 μm. **, P < 0.01

    Journal: Journal of Translational Medicine

    Article Title: MRO/HNRNPU/CCL5 feedback loop amplifies M2 macrophage and breast cancer cell crosstalk to drive progression

    doi: 10.1186/s12967-025-06776-w

    Figure Lengend Snippet: MRO expression is elevated in BC tissues and is associated with poor prognosis. ( A - B ) MRO were significantly elevated in BC tissues. ( C ) Pair analysis showed 66.01% BC patients with elevated MRO expression. ( D ) ROC analysis of MRO with AUC as 0.747. ( E - F ) Survival analysis demonstrated high MRO expression correlates with lower overall survival and disease-free survival days. ( G ) Elevated MRO levels linked to high lymph node invasion cases. ( H - I ) MRO proteins had positive relationship with CD68 and CD163 in BC tissues. ( J ) The mIHC results indicated that MRO expression was positively associated with CD163 expression in BC tissues. White bar means 50 μm. **, P < 0.01

    Article Snippet: The cells were then stained with fluorescently conjugated anti-human CD68 (1:50; cat no. #24850, CST, USA), CD11B (1:100; cat no. #24442, CST, USA), CD163 (1:100; cat no. FITC-65169, Proteintech, Wuhan, China), and CD206 antibodies (1:100; cat no. FITC-65155, Proteintech, Wuhan, China) for 20 min on ice, followed by rinsing with washing buffer.

    Techniques: Expressing