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Miltenyi Biotec cd163 pe

Expression of CD68 and <t>CD163</t> in ccRCC samples. (A) CD68 was assessed using immunohistochemistry. (B) Expression of CD68 was assessed using the available TCGA data (KIRC dataset). Tumors were grouped by the pathological tumor size (pT). (C) CD163 was assessed using immunohistochemistry. (D) Expression of CD163 was assessed using the available TCGA data (KIRC dataset). Tumors were grouped by the pathological tumor size (pT). Student’s t-test for two groups and one-way ANOVA for four groups; *p<0.05, **p<0.01, ***p<0.001,****p<0.0001. (E) Multiplex immunofluorescence imaging of ccRCC tumor tissues (representative of three patients) depicting CK (cytokeratin), CD163 and CD68 expression. White bar represents 200 μm (left) and 10 μm (right). (F) UMAP depicting clusters of single-cell data showing the expression of CD68 and CD163. Cell type annotations were adopted from the original publication . (G) Fraction of CD68+ cells co-expressing CD163 in RCC tumor tissue macrophage population. Positivity in scRNA-seq for CD68 and CD163 was defined from raw UMI counts as ≥1 UMI per gene (F) . (H) Flow cytometric analysis of CD45 on cells from central and peripheral ccRCC tumor tissue and adjacent kidney. (I) As in (H) , analysis of CD163 on CD68+ cells from central and peripheral ccRCC tumor tissue and adjacent kidney. Values were normalized to kidney controls. Representative histogram with geometric mean fluorescence intensities on the right. One-way ANOVA with Dunnett post-test comparing to kidney. *p<0.05, **p<0.01, ***p<0.001. (J) Data from (I) , tumor periphery, plotted as individual patients, depicting the portion of CD163+ and CD163neg cells.

Cd163 Pe, supplied by Miltenyi Biotec, used in various techniques. Bioz Stars score: 94/100, based on 3 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 94 stars, based on 3 article reviews

cd163 pe - by Bioz Stars, 2026-09

94/100 stars

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1) Product Images from "Increased expression of CD36 and CD163 in clear cell renal cell carcinoma suggests an association between lipid transport and an “M2-like” macrophage phenotype"

Article Title: Increased expression of CD36 and CD163 in clear cell renal cell carcinoma suggests an association between lipid transport and an “M2-like” macrophage phenotype

Journal: Frontiers in Immunology

doi: 10.3389/fimmu.2026.1773666

Expression of CD68 and CD163 in ccRCC samples. (A) CD68 was assessed using immunohistochemistry. (B) Expression of CD68 was assessed using the available TCGA data (KIRC dataset). Tumors were grouped by the pathological tumor size (pT). (C) CD163 was assessed using immunohistochemistry. (D) Expression of CD163 was assessed using the available TCGA data (KIRC dataset). Tumors were grouped by the pathological tumor size (pT). Student’s t-test for two groups and one-way ANOVA for four groups; *p<0.05, **p<0.01, ***p<0.001,****p<0.0001. (E) Multiplex immunofluorescence imaging of ccRCC tumor tissues (representative of three patients) depicting CK (cytokeratin), CD163 and CD68 expression. White bar represents 200 μm (left) and 10 μm (right). (F) UMAP depicting clusters of single-cell data showing the expression of CD68 and CD163. Cell type annotations were adopted from the original publication . (G) Fraction of CD68+ cells co-expressing CD163 in RCC tumor tissue macrophage population. Positivity in scRNA-seq for CD68 and CD163 was defined from raw UMI counts as ≥1 UMI per gene (F) . (H) Flow cytometric analysis of CD45 on cells from central and peripheral ccRCC tumor tissue and adjacent kidney. (I) As in (H) , analysis of CD163 on CD68+ cells from central and peripheral ccRCC tumor tissue and adjacent kidney. Values were normalized to kidney controls. Representative histogram with geometric mean fluorescence intensities on the right. One-way ANOVA with Dunnett post-test comparing to kidney. *p<0.05, **p<0.01, ***p<0.001. (J) Data from (I) , tumor periphery, plotted as individual patients, depicting the portion of CD163+ and CD163neg cells.

Figure Legend Snippet: Expression of CD68 and CD163 in ccRCC samples. (A) CD68 was assessed using immunohistochemistry. (B) Expression of CD68 was assessed using the available TCGA data (KIRC dataset). Tumors were grouped by the pathological tumor size (pT). (C) CD163 was assessed using immunohistochemistry. (D) Expression of CD163 was assessed using the available TCGA data (KIRC dataset). Tumors were grouped by the pathological tumor size (pT). Student’s t-test for two groups and one-way ANOVA for four groups; *p<0.05, **p<0.01, ***p<0.001,****p<0.0001. (E) Multiplex immunofluorescence imaging of ccRCC tumor tissues (representative of three patients) depicting CK (cytokeratin), CD163 and CD68 expression. White bar represents 200 μm (left) and 10 μm (right). (F) UMAP depicting clusters of single-cell data showing the expression of CD68 and CD163. Cell type annotations were adopted from the original publication . (G) Fraction of CD68+ cells co-expressing CD163 in RCC tumor tissue macrophage population. Positivity in scRNA-seq for CD68 and CD163 was defined from raw UMI counts as ≥1 UMI per gene (F) . (H) Flow cytometric analysis of CD45 on cells from central and peripheral ccRCC tumor tissue and adjacent kidney. (I) As in (H) , analysis of CD163 on CD68+ cells from central and peripheral ccRCC tumor tissue and adjacent kidney. Values were normalized to kidney controls. Representative histogram with geometric mean fluorescence intensities on the right. One-way ANOVA with Dunnett post-test comparing to kidney. *p<0.05, **p<0.01, ***p<0.001. (J) Data from (I) , tumor periphery, plotted as individual patients, depicting the portion of CD163+ and CD163neg cells.

Techniques Used: Expressing, Immunohistochemistry, Multiplex Assay, Immunofluorescence, Imaging, Single Cell, Fluorescence

Correlations of CD36 and Oil Red O with immunological markers. Data was obtained as in <xref ref-type=

Figures 1 , . Observer-based histological scores were used to calculate the correlations. As these scores are ordinal, individual data points may overlap in scatter plots. The number of overlapping values is indicated by numbers in parentheses. Correlation statistics were performed using Pearson´s correlation coefficients, and p-values were two-tailed. (A) Correlations of CD36 with CD68, CD163 and CD3. (B) Correlations of Oil Red O scores to CD68, CD163 and CD3. (C) Multiplex immunofluorescence imaging of ccRCC tumor tissues (representative of three patients) depicting CD68 and CD36 expression. (D) Flow cytometric analysis of CD36 on CD68+ cells from central and peripheral ccRCC tumor tissue and adjacent kidney. Values were normalized to kidney controls. Representative histogram with geometric mean fluorescence intensities on the right. One-way ANOVA with Dunnett post-test comparing to kidney, n.s. (E) As in (D) , correlation of CD36 and CD163 expression on CD68+ cells. (F) UMAP depicting macrophage cluster with expression of CD68, CD163 and CD36 . (G-I) Flow cytometric analysis of peripheral tumor tissues, correlating the expression of CD36 on CD45neg cells to (G) CD163 on CD68+ cells, (H) the CD68+ cell frequencies and (I) the frequencies of CD3+ CD8+ cells. Pearson´s correlation, two-tailed p-value. (J, K) Lipidomics performed on five ccRCC tumors with correlations of CD163 expression (IHC, area staining intensity in J; histological score in K) and the levels of triacylglycerol (TG). " title="... were two-tailed. (A) Correlations of CD36 with CD68, CD163 and CD3. (B) Correlations of Oil Red O ..." property="contentUrl" width="100%" height="100%"/>
Figure Legend Snippet: Correlations of CD36 and Oil Red O with immunological markers. Data was obtained as in Figures 1 , . Observer-based histological scores were used to calculate the correlations. As these scores are ordinal, individual data points may overlap in scatter plots. The number of overlapping values is indicated by numbers in parentheses. Correlation statistics were performed using Pearson´s correlation coefficients, and p-values were two-tailed. (A) Correlations of CD36 with CD68, CD163 and CD3. (B) Correlations of Oil Red O scores to CD68, CD163 and CD3. (C) Multiplex immunofluorescence imaging of ccRCC tumor tissues (representative of three patients) depicting CD68 and CD36 expression. (D) Flow cytometric analysis of CD36 on CD68+ cells from central and peripheral ccRCC tumor tissue and adjacent kidney. Values were normalized to kidney controls. Representative histogram with geometric mean fluorescence intensities on the right. One-way ANOVA with Dunnett post-test comparing to kidney, n.s. (E) As in (D) , correlation of CD36 and CD163 expression on CD68+ cells. (F) UMAP depicting macrophage cluster with expression of CD68, CD163 and CD36 . (G-I) Flow cytometric analysis of peripheral tumor tissues, correlating the expression of CD36 on CD45neg cells to (G) CD163 on CD68+ cells, (H) the CD68+ cell frequencies and (I) the frequencies of CD3+ CD8+ cells. Pearson´s correlation, two-tailed p-value. (J, K) Lipidomics performed on five ccRCC tumors with correlations of CD163 expression (IHC, area staining intensity in J; histological score in K) and the levels of triacylglycerol (TG).

Techniques Used: Two Tailed Test, Multiplex Assay, Immunofluorescence, Imaging, Expressing, Fluorescence, Staining

Expression of CD147 in ccRCC samples. (A) CD147 was assessed using immunohistochemistry. Student’s t-test, *p<0.05. (B) Expression of CD147 was assessed using the available TCGA data (KIRC dataset). (C) Correlations of CD147 expression to CD36 and CD163 using area staining intensity. (D) Correlations of CD147 expression to CD36 and CD163 using observer-based histological scores. As these scores are ordinal, individual data points may overlap in scatter plots. The number of overlapping values is indicated by numbers in parentheses. Correlation statistics were performed using Pearson´s correlation coefficients, and p-values were two-tailed. (E) Flow cytometric analysis of CD147 on CD45neg cells from central and peripheral ccRCC tumor tissue and adjacent kidney. Values were normalized to kidney controls. Representative histogram with geometric mean fluorescence intensities on the right. (F) As in (E) , correlations of CD147 expression on CD45neg cells to CD36 in tumor periphery and tumor center. (G) Multiplex immunofluorescence imaging of ccRCC tumor tissues (representative of three patients) depicting CD36 and CD147 expression. White bar represents 200 µm (left) and 10 µm (right). (H) UMAP depicting clusters of single-cell data from ccRCC patients showing the expression of CD147. Cell type annotations were adopted from the original publication . (I) . Flow cytometric analysis of CD147 on CD68+ cells from central and peripheral ccRCC tumor tissue and adjacent kidney. Values were normalized to kidney controls. Representative histogram with geometric mean fluorescence intensities on the right. (J) As in (I) , correlation of CD163 and CD147 expression on CD68+ cells. Pearson´s correlation, two-tailed p-value. (K) UMAP visualization of CD163 and BSG (CD147) expression on myeloid cells from ccRCC tumors, cell type annotations were adopted from the original publication .

Figure Legend Snippet: Expression of CD147 in ccRCC samples. (A) CD147 was assessed using immunohistochemistry. Student’s t-test, *p<0.05. (B) Expression of CD147 was assessed using the available TCGA data (KIRC dataset). (C) Correlations of CD147 expression to CD36 and CD163 using area staining intensity. (D) Correlations of CD147 expression to CD36 and CD163 using observer-based histological scores. As these scores are ordinal, individual data points may overlap in scatter plots. The number of overlapping values is indicated by numbers in parentheses. Correlation statistics were performed using Pearson´s correlation coefficients, and p-values were two-tailed. (E) Flow cytometric analysis of CD147 on CD45neg cells from central and peripheral ccRCC tumor tissue and adjacent kidney. Values were normalized to kidney controls. Representative histogram with geometric mean fluorescence intensities on the right. (F) As in (E) , correlations of CD147 expression on CD45neg cells to CD36 in tumor periphery and tumor center. (G) Multiplex immunofluorescence imaging of ccRCC tumor tissues (representative of three patients) depicting CD36 and CD147 expression. White bar represents 200 µm (left) and 10 µm (right). (H) UMAP depicting clusters of single-cell data from ccRCC patients showing the expression of CD147. Cell type annotations were adopted from the original publication . (I) . Flow cytometric analysis of CD147 on CD68+ cells from central and peripheral ccRCC tumor tissue and adjacent kidney. Values were normalized to kidney controls. Representative histogram with geometric mean fluorescence intensities on the right. (J) As in (I) , correlation of CD163 and CD147 expression on CD68+ cells. Pearson´s correlation, two-tailed p-value. (K) UMAP visualization of CD163 and BSG (CD147) expression on myeloid cells from ccRCC tumors, cell type annotations were adopted from the original publication .

Techniques Used: Expressing, Immunohistochemistry, Staining, Two Tailed Test, Fluorescence, Multiplex Assay, Immunofluorescence, Imaging, Single Cell

Single cell RNA seq of ccRCC tumors. Data by Bi et al. was visualized and via the Single Cell Portal . Cell types, including immune subpopulations, were annotated as defined by the original authors. Expression of metabolic (ACAA2, SQLE, ACSL3, CD36) and immunologic (CD68, CD163, CD147) genes was examined across these distinct immune compartments. For the characterization of the immune cell populations, please refer to Bi et al. .

Figure Legend Snippet: Single cell RNA seq of ccRCC tumors. Data by Bi et al. was visualized and via the Single Cell Portal . Cell types, including immune subpopulations, were annotated as defined by the original authors. Expression of metabolic (ACAA2, SQLE, ACSL3, CD36) and immunologic (CD68, CD163, CD147) genes was examined across these distinct immune compartments. For the characterization of the immune cell populations, please refer to Bi et al. .

Techniques Used: Single Cell, RNA Sequencing, Expressing

other:

Article Title: Characterizing the polarization continuum of macrophage subtypes M1, M2a and M2c
Article Snippet: Primary antibodies used: CD14 VioBlue (BD Pharminogen, Cat: 558121), CD16 FITC (Miltenyi Biotec, Cat: 130-113-392), CD80 FITC (BioLegend, Cat: 305205), CD86 PE (BioLegend, Cat: 305405), CD119 FITC (Miltenyi Biotec, Cat: 130-099-929), CD120a APC (BioLegend, Cat: 369905), CD121a (BD Biosciences, Cat: 551388), CD163 PE (Miltenyi Biotec, Cat: 130-097628), CD169 APC (Miltenyi Biotec, Cat: 130-098-643), CD192 PE (Miltenyi Biotec, Cat: 130-118-477), CD206 APC (BD Pharminogen, Cat: 550889), CD209 (BioRad, Cat: MCA2318T), CD210 PE (Miltenyi Biotec, Cat: 130-121-426) and ACE2 (R&D Systems, Cat: AF-933-SP).

Staining:

Article Title: Active LXR signaling, coupled with elevated mitochondrial and glycolytic metabolism contributes to GM-CSF–induced trained immunity
Article Snippet: .. The cells were washed with PBS and stained with surface markers for CD80-FITC (Biolegend, #305206), CD86-APC (Miltenyi Biotec, #130-116-161), CD163-PE (Miltenyi Biotec, #130-097-628), CD206-Vioblue (Miltenyi Biotec, #130-127-809) or respective isotype controls for 30 minutes at 4 °C following manufacturer’s instructions. .. Following the staining process, the cells were washed with FACS buffer (PBS + 0.5% BSA) and Flow Cytometry analysis was performed using Guava easyCyte (Millipore).

Article Title: Modelling of the multicellular tumor microenvironment of pancreatic ductal adenocarcinoma (PDAC) on a fit-for-purpose biochip for preclinical drug discovery.
Article Snippet: .. After spheroid digestion with Accutase (#A1110501, Gibco), the cells were stained with the following antibodies according to manufactures instructions; CD163-PE (#130-112-286, Miltenyi Biotec), CD11b-VioBlue (#130-110-616, Miltenyi Biotec), CD86-APC (#130-116-161, Miltenyi Biotec), CD45-VioGreen (#130-110-638, Miltenyi Biotec), HLA-DR-PEVio770 (#130-111-944, Miltenyi Biotec). .. Flow cytometry was performed using the CytoFlex (BeckmanCoulter, Brea, CA, USA) flow cytometer.

Blocking Assay:

Article Title: Increased expression of CD36 and CD163 in clear cell renal cell carcinoma suggests an association between lipid transport and an “M2-like” macrophage phenotype
Article Snippet: Multiplex immunofluorescence staining was performed using the MACSimaTM Imaging Platform (Miltenyi Biotec), an automated system for cyclic staining and imaging. .. Reagents and antibodies used included FcR Blocking Reagent (Cat# 130-059-901), CD36 PE (Cat# 130-110-877), CD147 APC (Cat# 130-124-295), CD8a PE (Cat# 130-117-201), CD45 PE (Cat# 130-113-118), CD68 PE (Cat# 130-128-345), CD163 PE (Cat# 130-127-908), and pan-Cytokeratin APC (Cat# 130-123-091), all from Miltenyi Biotec. .. DAPI (D9542) was purchased from Sigma Aldrich.

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Journal: Frontiers in Immunology

Article Title: Increased expression of CD36 and CD163 in clear cell renal cell carcinoma suggests an association between lipid transport and an “M2-like” macrophage phenotype

doi: 10.3389/fimmu.2026.1773666

Figure Lengend Snippet: Expression of CD68 and CD163 in ccRCC samples. (A) CD68 was assessed using immunohistochemistry. (B) Expression of CD68 was assessed using the available TCGA data (KIRC dataset). Tumors were grouped by the pathological tumor size (pT). (C) CD163 was assessed using immunohistochemistry. (D) Expression of CD163 was assessed using the available TCGA data (KIRC dataset). Tumors were grouped by the pathological tumor size (pT). Student’s t-test for two groups and one-way ANOVA for four groups; *p<0.05, **p<0.01, ***p<0.001,****p<0.0001. (E) Multiplex immunofluorescence imaging of ccRCC tumor tissues (representative of three patients) depicting CK (cytokeratin), CD163 and CD68 expression. White bar represents 200 μm (left) and 10 μm (right). (F) UMAP depicting clusters of single-cell data showing the expression of CD68 and CD163. Cell type annotations were adopted from the original publication . (G) Fraction of CD68+ cells co-expressing CD163 in RCC tumor tissue macrophage population. Positivity in scRNA-seq for CD68 and CD163 was defined from raw UMI counts as ≥1 UMI per gene (F) . (H) Flow cytometric analysis of CD45 on cells from central and peripheral ccRCC tumor tissue and adjacent kidney. (I) As in (H) , analysis of CD163 on CD68+ cells from central and peripheral ccRCC tumor tissue and adjacent kidney. Values were normalized to kidney controls. Representative histogram with geometric mean fluorescence intensities on the right. One-way ANOVA with Dunnett post-test comparing to kidney. *p<0.05, **p<0.01, ***p<0.001. (J) Data from (I) , tumor periphery, plotted as individual patients, depicting the portion of CD163+ and CD163neg cells.

Article Snippet: Reagents and antibodies used included FcR Blocking Reagent (Cat# 130-059-901), CD36 PE (Cat# 130-110-877), CD147 APC (Cat# 130-124-295), CD8a PE (Cat# 130-117-201), CD45 PE (Cat# 130-113-118), CD68 PE (Cat# 130-128-345), CD163 PE (Cat# 130-127-908), and pan-Cytokeratin APC (Cat# 130-123-091), all from Miltenyi Biotec.

Techniques: Expressing, Immunohistochemistry, Multiplex Assay, Immunofluorescence, Imaging, Single Cell, Fluorescence

Journal: Frontiers in Immunology

Article Title: Increased expression of CD36 and CD163 in clear cell renal cell carcinoma suggests an association between lipid transport and an “M2-like” macrophage phenotype

doi: 10.3389/fimmu.2026.1773666

Figure Lengend Snippet: Correlations of CD36 and Oil Red O with immunological markers. Data was obtained as in Figures 1 , . Observer-based histological scores were used to calculate the correlations. As these scores are ordinal, individual data points may overlap in scatter plots. The number of overlapping values is indicated by numbers in parentheses. Correlation statistics were performed using Pearson´s correlation coefficients, and p-values were two-tailed. (A) Correlations of CD36 with CD68, CD163 and CD3. (B) Correlations of Oil Red O scores to CD68, CD163 and CD3. (C) Multiplex immunofluorescence imaging of ccRCC tumor tissues (representative of three patients) depicting CD68 and CD36 expression. (D) Flow cytometric analysis of CD36 on CD68+ cells from central and peripheral ccRCC tumor tissue and adjacent kidney. Values were normalized to kidney controls. Representative histogram with geometric mean fluorescence intensities on the right. One-way ANOVA with Dunnett post-test comparing to kidney, n.s. (E) As in (D) , correlation of CD36 and CD163 expression on CD68+ cells. (F) UMAP depicting macrophage cluster with expression of CD68, CD163 and CD36 . (G-I) Flow cytometric analysis of peripheral tumor tissues, correlating the expression of CD36 on CD45neg cells to (G) CD163 on CD68+ cells, (H) the CD68+ cell frequencies and (I) the frequencies of CD3+ CD8+ cells. Pearson´s correlation, two-tailed p-value. (J, K) Lipidomics performed on five ccRCC tumors with correlations of CD163 expression (IHC, area staining intensity in J; histological score in K) and the levels of triacylglycerol (TG).

Techniques: Two Tailed Test, Multiplex Assay, Immunofluorescence, Imaging, Expressing, Fluorescence, Staining

Journal: Frontiers in Immunology

Article Title: Increased expression of CD36 and CD163 in clear cell renal cell carcinoma suggests an association between lipid transport and an “M2-like” macrophage phenotype

doi: 10.3389/fimmu.2026.1773666

Figure Lengend Snippet: Expression of CD147 in ccRCC samples. (A) CD147 was assessed using immunohistochemistry. Student’s t-test, *p<0.05. (B) Expression of CD147 was assessed using the available TCGA data (KIRC dataset). (C) Correlations of CD147 expression to CD36 and CD163 using area staining intensity. (D) Correlations of CD147 expression to CD36 and CD163 using observer-based histological scores. As these scores are ordinal, individual data points may overlap in scatter plots. The number of overlapping values is indicated by numbers in parentheses. Correlation statistics were performed using Pearson´s correlation coefficients, and p-values were two-tailed. (E) Flow cytometric analysis of CD147 on CD45neg cells from central and peripheral ccRCC tumor tissue and adjacent kidney. Values were normalized to kidney controls. Representative histogram with geometric mean fluorescence intensities on the right. (F) As in (E) , correlations of CD147 expression on CD45neg cells to CD36 in tumor periphery and tumor center. (G) Multiplex immunofluorescence imaging of ccRCC tumor tissues (representative of three patients) depicting CD36 and CD147 expression. White bar represents 200 µm (left) and 10 µm (right). (H) UMAP depicting clusters of single-cell data from ccRCC patients showing the expression of CD147. Cell type annotations were adopted from the original publication . (I) . Flow cytometric analysis of CD147 on CD68+ cells from central and peripheral ccRCC tumor tissue and adjacent kidney. Values were normalized to kidney controls. Representative histogram with geometric mean fluorescence intensities on the right. (J) As in (I) , correlation of CD163 and CD147 expression on CD68+ cells. Pearson´s correlation, two-tailed p-value. (K) UMAP visualization of CD163 and BSG (CD147) expression on myeloid cells from ccRCC tumors, cell type annotations were adopted from the original publication .

Techniques: Expressing, Immunohistochemistry, Staining, Two Tailed Test, Fluorescence, Multiplex Assay, Immunofluorescence, Imaging, Single Cell

Journal: Frontiers in Immunology

Article Title: Increased expression of CD36 and CD163 in clear cell renal cell carcinoma suggests an association between lipid transport and an “M2-like” macrophage phenotype

doi: 10.3389/fimmu.2026.1773666

Figure Lengend Snippet: Single cell RNA seq of ccRCC tumors. Data by Bi et al. was visualized and via the Single Cell Portal . Cell types, including immune subpopulations, were annotated as defined by the original authors. Expression of metabolic (ACAA2, SQLE, ACSL3, CD36) and immunologic (CD68, CD163, CD147) genes was examined across these distinct immune compartments. For the characterization of the immune cell populations, please refer to Bi et al. .

Techniques: Single Cell, RNA Sequencing, Expressing

MDA-MB-231 induced ADSCs differentiation into lpCAFs to promote macrophage M2 polarization. (A) Schematic of co-culture between lpCAFs-like cells or iCAFs-like cells and M0 macrophages. (B) RT-qPCR detection of APOE mRNA levels in macrophages following co-culture with lpCAFs-like cells or iCAFs-like cells. (C) Flow cytometry analysis showing APOE expression levels in macrophages after co-culture with iCAFs-like cells or lpCAFs-like cells. (D) Flow cytometry analysis showing CD163 expression levels in macrophages after co-culture with iCAFs-like cells or lpCAFs-like cells. (E) RT-qPCR detection of ARG-1 mRNA levels in macrophages following co-culture with lpCAFs-like cells or iCAFs-like cells. (F, G) Western blotting detection and quantitative analysis of ARG-1 expression levels in macrophages following co-culture with lpCAFs-like cells or iCAFs-like cells. (H) Immunofluorescence staining of ARG-1 in M0 macrophages after co-culture with lpCAFs or iCAFs (Scale bar=75μm). (I) Quantitative analysis of ARG-1 immunofluorescence staining following co-culture of lpCAFs-like cells or iCAFs-like cells with M0 macrophages. (J) RT-qPCR results showing the mRNA levels of ABCA8 in lpCAFs cells and lpCAFs treated with ABCA8-siRNA. (K) Western blotting results showing the protein expression levels of ABCA8 in lpCAFs and lpCAFs treated with ABCA8-siRNA. (L) Flow cytometry results showing the APOE expression levels in macrophages after co-culture with iCAFs, lpCAFs or lpCAFs treated with ABCA8-siRNA. (M) Flow cytometry results showing the CD163 expression levels in macrophages after co-culture with iCAFs, lpCAFs or lpCAFs treated with ABCA8-siRNA. (N) RT-qPCR results showing the mRNA levels of ARG-1 in macrophages after co-culture with iCAFs, lpCAFs, or lpCAFs treated with ABCA8-siRNA. (O) Western blotting results showing the protein levels of ARG-1 in macrophages after co-culture with iCAFs, lpCAFs, or lpCAFs treated with ABCA8-siRNA. *p<0.05, **p<0.01, ***p<0.001.

Journal: Frontiers in Oncology

Article Title: ABCA8-positive lipid-metabolic CAFs mediate immunotherapy resistance in TNBC

doi: 10.3389/fonc.2025.1729275

Figure Lengend Snippet: MDA-MB-231 induced ADSCs differentiation into lpCAFs to promote macrophage M2 polarization. (A) Schematic of co-culture between lpCAFs-like cells or iCAFs-like cells and M0 macrophages. (B) RT-qPCR detection of APOE mRNA levels in macrophages following co-culture with lpCAFs-like cells or iCAFs-like cells. (C) Flow cytometry analysis showing APOE expression levels in macrophages after co-culture with iCAFs-like cells or lpCAFs-like cells. (D) Flow cytometry analysis showing CD163 expression levels in macrophages after co-culture with iCAFs-like cells or lpCAFs-like cells. (E) RT-qPCR detection of ARG-1 mRNA levels in macrophages following co-culture with lpCAFs-like cells or iCAFs-like cells. (F, G) Western blotting detection and quantitative analysis of ARG-1 expression levels in macrophages following co-culture with lpCAFs-like cells or iCAFs-like cells. (H) Immunofluorescence staining of ARG-1 in M0 macrophages after co-culture with lpCAFs or iCAFs (Scale bar=75μm). (I) Quantitative analysis of ARG-1 immunofluorescence staining following co-culture of lpCAFs-like cells or iCAFs-like cells with M0 macrophages. (J) RT-qPCR results showing the mRNA levels of ABCA8 in lpCAFs cells and lpCAFs treated with ABCA8-siRNA. (K) Western blotting results showing the protein expression levels of ABCA8 in lpCAFs and lpCAFs treated with ABCA8-siRNA. (L) Flow cytometry results showing the APOE expression levels in macrophages after co-culture with iCAFs, lpCAFs or lpCAFs treated with ABCA8-siRNA. (M) Flow cytometry results showing the CD163 expression levels in macrophages after co-culture with iCAFs, lpCAFs or lpCAFs treated with ABCA8-siRNA. (N) RT-qPCR results showing the mRNA levels of ARG-1 in macrophages after co-culture with iCAFs, lpCAFs, or lpCAFs treated with ABCA8-siRNA. (O) Western blotting results showing the protein levels of ARG-1 in macrophages after co-culture with iCAFs, lpCAFs, or lpCAFs treated with ABCA8-siRNA. *p<0.05, **p<0.01, ***p<0.001.

Article Snippet: The anti-human CD163 antibody (PE-65561), the anti-human APOE antibody (66830-1) and the isotype control antibody (65124-1-Ig) was obtained from Proteintech.

Techniques: Co-Culture Assay, Quantitative RT-PCR, Flow Cytometry, Expressing, Western Blot, Immunofluorescence, Staining

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cd163 pe (Miltenyi Biotec)

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