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99
Thermo Fisher gene exp cd36 mm00432403 m1
Impact of high fat feeding and voluntary exercise on left ventricle morphology in male mice. (A) Representative images of Picrosirius red staining for measurement of interstitial and perivascular fibrosis with 20× magnification. (B) Representative images for Hematoxylin and Eosin for measurement of cardiomyocyte width and area with 40× magnification. (C) Representative images of Oil red O staining for measurement of interstitial lipid deposition with 40× magnification. Quantitative analysis of percent area of (D) interstitial and (E) perivascular fibrosis expressed as fold change from sedentary chow group. Quantitative analysis of (F) cardiomyocyte width and (G) cardiomyocyte area. (H) Quantitative analysis of percent area of lipid deposition expressed as fold change from sedentary chow group left ventricle mRNA expression of fatty acid transporters (I) FABP3, (J) <t>CD36,</t> and hypertrophy markers (K) β-MHC and (L) ANP in male VET or sedentary mice fed an HFD or chow diet. Values were calculated relative to 18S housekeeper. Analysis was performed using two-way analysis of variance with Tukey’s post hoc test for multiple comparisons. Data are expressed as mean ± standard error of the mean. (D–H) n : 8–12 per group. (I–L) n : 8–9 per group. * p < 0.05, **** p < 0.0001. ANP = atrial natriuretic peptide; β-MHC = beta myosin heavy chain; CD36 = platelet glycoprotein 4; FABP3 = fatty acid-binding protein 3; HFD = high fat diet; Myh7 = moysin heavy chain 7; VET = voluntary exercise training.
Gene Exp Cd36 Mm00432403 M1, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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94
Miltenyi Biotec miltenyi anti cd3 magnetic beads
Impact of high fat feeding and voluntary exercise on left ventricle morphology in male mice. (A) Representative images of Picrosirius red staining for measurement of interstitial and perivascular fibrosis with 20× magnification. (B) Representative images for Hematoxylin and Eosin for measurement of cardiomyocyte width and area with 40× magnification. (C) Representative images of Oil red O staining for measurement of interstitial lipid deposition with 40× magnification. Quantitative analysis of percent area of (D) interstitial and (E) perivascular fibrosis expressed as fold change from sedentary chow group. Quantitative analysis of (F) cardiomyocyte width and (G) cardiomyocyte area. (H) Quantitative analysis of percent area of lipid deposition expressed as fold change from sedentary chow group left ventricle mRNA expression of fatty acid transporters (I) FABP3, (J) <t>CD36,</t> and hypertrophy markers (K) β-MHC and (L) ANP in male VET or sedentary mice fed an HFD or chow diet. Values were calculated relative to 18S housekeeper. Analysis was performed using two-way analysis of variance with Tukey’s post hoc test for multiple comparisons. Data are expressed as mean ± standard error of the mean. (D–H) n : 8–12 per group. (I–L) n : 8–9 per group. * p < 0.05, **** p < 0.0001. ANP = atrial natriuretic peptide; β-MHC = beta myosin heavy chain; CD36 = platelet glycoprotein 4; FABP3 = fatty acid-binding protein 3; HFD = high fat diet; Myh7 = moysin heavy chain 7; VET = voluntary exercise training.
Miltenyi Anti Cd3 Magnetic Beads, supplied by Miltenyi Biotec, 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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Average 94 stars, based on 1 article reviews
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Miltenyi Biotec anti cd3 magnetic beads
Impact of high fat feeding and voluntary exercise on left ventricle morphology in male mice. (A) Representative images of Picrosirius red staining for measurement of interstitial and perivascular fibrosis with 20× magnification. (B) Representative images for Hematoxylin and Eosin for measurement of cardiomyocyte width and area with 40× magnification. (C) Representative images of Oil red O staining for measurement of interstitial lipid deposition with 40× magnification. Quantitative analysis of percent area of (D) interstitial and (E) perivascular fibrosis expressed as fold change from sedentary chow group. Quantitative analysis of (F) cardiomyocyte width and (G) cardiomyocyte area. (H) Quantitative analysis of percent area of lipid deposition expressed as fold change from sedentary chow group left ventricle mRNA expression of fatty acid transporters (I) FABP3, (J) <t>CD36,</t> and hypertrophy markers (K) β-MHC and (L) ANP in male VET or sedentary mice fed an HFD or chow diet. Values were calculated relative to 18S housekeeper. Analysis was performed using two-way analysis of variance with Tukey’s post hoc test for multiple comparisons. Data are expressed as mean ± standard error of the mean. (D–H) n : 8–12 per group. (I–L) n : 8–9 per group. * p < 0.05, **** p < 0.0001. ANP = atrial natriuretic peptide; β-MHC = beta myosin heavy chain; CD36 = platelet glycoprotein 4; FABP3 = fatty acid-binding protein 3; HFD = high fat diet; Myh7 = moysin heavy chain 7; VET = voluntary exercise training.
Anti Cd3 Magnetic Beads, supplied by Miltenyi Biotec, 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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Miltenyi Biotec anti cd3 anti cd28 beads
Impact of high fat feeding and voluntary exercise on left ventricle morphology in male mice. (A) Representative images of Picrosirius red staining for measurement of interstitial and perivascular fibrosis with 20× magnification. (B) Representative images for Hematoxylin and Eosin for measurement of cardiomyocyte width and area with 40× magnification. (C) Representative images of Oil red O staining for measurement of interstitial lipid deposition with 40× magnification. Quantitative analysis of percent area of (D) interstitial and (E) perivascular fibrosis expressed as fold change from sedentary chow group. Quantitative analysis of (F) cardiomyocyte width and (G) cardiomyocyte area. (H) Quantitative analysis of percent area of lipid deposition expressed as fold change from sedentary chow group left ventricle mRNA expression of fatty acid transporters (I) FABP3, (J) <t>CD36,</t> and hypertrophy markers (K) β-MHC and (L) ANP in male VET or sedentary mice fed an HFD or chow diet. Values were calculated relative to 18S housekeeper. Analysis was performed using two-way analysis of variance with Tukey’s post hoc test for multiple comparisons. Data are expressed as mean ± standard error of the mean. (D–H) n : 8–12 per group. (I–L) n : 8–9 per group. * p < 0.05, **** p < 0.0001. ANP = atrial natriuretic peptide; β-MHC = beta myosin heavy chain; CD36 = platelet glycoprotein 4; FABP3 = fatty acid-binding protein 3; HFD = high fat diet; Myh7 = moysin heavy chain 7; VET = voluntary exercise training.
Anti Cd3 Anti Cd28 Beads, supplied by Miltenyi Biotec, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/anti cd3 anti cd28 beads/product/Miltenyi Biotec
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Miltenyi Biotec anti cd3 antibody
Impact of high fat feeding and voluntary exercise on left ventricle morphology in male mice. (A) Representative images of Picrosirius red staining for measurement of interstitial and perivascular fibrosis with 20× magnification. (B) Representative images for Hematoxylin and Eosin for measurement of cardiomyocyte width and area with 40× magnification. (C) Representative images of Oil red O staining for measurement of interstitial lipid deposition with 40× magnification. Quantitative analysis of percent area of (D) interstitial and (E) perivascular fibrosis expressed as fold change from sedentary chow group. Quantitative analysis of (F) cardiomyocyte width and (G) cardiomyocyte area. (H) Quantitative analysis of percent area of lipid deposition expressed as fold change from sedentary chow group left ventricle mRNA expression of fatty acid transporters (I) FABP3, (J) <t>CD36,</t> and hypertrophy markers (K) β-MHC and (L) ANP in male VET or sedentary mice fed an HFD or chow diet. Values were calculated relative to 18S housekeeper. Analysis was performed using two-way analysis of variance with Tukey’s post hoc test for multiple comparisons. Data are expressed as mean ± standard error of the mean. (D–H) n : 8–12 per group. (I–L) n : 8–9 per group. * p < 0.05, **** p < 0.0001. ANP = atrial natriuretic peptide; β-MHC = beta myosin heavy chain; CD36 = platelet glycoprotein 4; FABP3 = fatty acid-binding protein 3; HFD = high fat diet; Myh7 = moysin heavy chain 7; VET = voluntary exercise training.
Anti Cd3 Antibody, supplied by Miltenyi Biotec, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/anti cd3 antibody/product/Miltenyi Biotec
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Miltenyi Biotec cd36 pe
Increased <t>CD36</t> expression and prominent lipid accumulation in ccRCC samples. Immunohistochemistry data was analyzed using two complementary approaches: (1) Quantitative image analysis providing the Area staining intensity, and (2) Observer-based scoring, providing the Histological score. For more details refer to Material and Methods section. (A) Oil Red O was used to visualize lipid accumulation in ccRCC tumors and adjacent kidney tissues. (B) CD36 was assessed using immunohistochemistry. Representative images in (A, B) are not matched from the same patient due to insufficient tissue pairing during sample collection. (C) Expression of CD36 was assessed using the available TCGA data (KIRC dataset). Student’s t-test, *p<0.05, ****p<0.0001. (D) Multiplex immunofluorescence imaging of ccRCC tumor tissues (representative of three patients) depicting CK (cytokeratin) and CD36 expression. White bar represents 10 μm. (E) Flow cytometric analysis of CD36 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. One-way ANOVA with Dunnett post-test comparing to kidney. *p<0.05. (F) Lipidomic analysis of ccRCC tumors and adjacent kidney tissues depicting the percentage of cholesterol esters (CE), triglycerides (TG) and free cholesterol (FC) from all lipids. *p<0.05, Student´s t-test. (G) Data from (F) , with additional species: lysophosphatidylcholine (LPC), lysophosphatidylethanolamine (LPE), sphingosine based ceramides (Cer), phosphatidic acid (PA), hexosylceramides (Hex-Cer), phosphatidylethanolamine (PE), phosphatidylserine (PS), phosphatidylglycerol (PG), PE based plasmalogen (PE P), phosphatidylinositol (PI), cardiolipin (CL), phosphatidylcholine-ether (PC O), phosphatidylcholines (PC), sphingomyelins (SM), diacylglycerol (DAG). Each column represents one individual ccRCC patient. Color represents signal normalized to row mean. Correlation of CD36 staining data [as in (B) ] with the TG levels. Pearson´s correlation, two-tailed p-value.
Cd36 Pe, supplied by Miltenyi Biotec, 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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Image Search Results


Impact of high fat feeding and voluntary exercise on left ventricle morphology in male mice. (A) Representative images of Picrosirius red staining for measurement of interstitial and perivascular fibrosis with 20× magnification. (B) Representative images for Hematoxylin and Eosin for measurement of cardiomyocyte width and area with 40× magnification. (C) Representative images of Oil red O staining for measurement of interstitial lipid deposition with 40× magnification. Quantitative analysis of percent area of (D) interstitial and (E) perivascular fibrosis expressed as fold change from sedentary chow group. Quantitative analysis of (F) cardiomyocyte width and (G) cardiomyocyte area. (H) Quantitative analysis of percent area of lipid deposition expressed as fold change from sedentary chow group left ventricle mRNA expression of fatty acid transporters (I) FABP3, (J) CD36, and hypertrophy markers (K) β-MHC and (L) ANP in male VET or sedentary mice fed an HFD or chow diet. Values were calculated relative to 18S housekeeper. Analysis was performed using two-way analysis of variance with Tukey’s post hoc test for multiple comparisons. Data are expressed as mean ± standard error of the mean. (D–H) n : 8–12 per group. (I–L) n : 8–9 per group. * p < 0.05, **** p < 0.0001. ANP = atrial natriuretic peptide; β-MHC = beta myosin heavy chain; CD36 = platelet glycoprotein 4; FABP3 = fatty acid-binding protein 3; HFD = high fat diet; Myh7 = moysin heavy chain 7; VET = voluntary exercise training.

Journal: Journal of Sport and Health Science

Article Title: Influence of diet-induced obesity and voluntary exercise training on cardiac lipids and mitochondrial function in mice

doi: 10.1016/j.jshs.2025.101095

Figure Lengend Snippet: Impact of high fat feeding and voluntary exercise on left ventricle morphology in male mice. (A) Representative images of Picrosirius red staining for measurement of interstitial and perivascular fibrosis with 20× magnification. (B) Representative images for Hematoxylin and Eosin for measurement of cardiomyocyte width and area with 40× magnification. (C) Representative images of Oil red O staining for measurement of interstitial lipid deposition with 40× magnification. Quantitative analysis of percent area of (D) interstitial and (E) perivascular fibrosis expressed as fold change from sedentary chow group. Quantitative analysis of (F) cardiomyocyte width and (G) cardiomyocyte area. (H) Quantitative analysis of percent area of lipid deposition expressed as fold change from sedentary chow group left ventricle mRNA expression of fatty acid transporters (I) FABP3, (J) CD36, and hypertrophy markers (K) β-MHC and (L) ANP in male VET or sedentary mice fed an HFD or chow diet. Values were calculated relative to 18S housekeeper. Analysis was performed using two-way analysis of variance with Tukey’s post hoc test for multiple comparisons. Data are expressed as mean ± standard error of the mean. (D–H) n : 8–12 per group. (I–L) n : 8–9 per group. * p < 0.05, **** p < 0.0001. ANP = atrial natriuretic peptide; β-MHC = beta myosin heavy chain; CD36 = platelet glycoprotein 4; FABP3 = fatty acid-binding protein 3; HFD = high fat diet; Myh7 = moysin heavy chain 7; VET = voluntary exercise training.

Article Snippet: The following TaqMan assay gene transcripts were used: fatty acid-binding protein 3 (FABP3, Mm02342495_m1), platelet glycoprotein 4 (CD36, Mm00432403_m1), beta myosin heavy chain (β-MHC, Mm00600555_m1), atrial natriuretic peptide (ANP, Mm01255747_g1), OPA1 (Mm01349707_g1), DRP1 (Mm01342903_m1), robosomal18S (18S, Mm03928990_g1).

Techniques: Staining, Expressing, Binding Assay

Increased CD36 expression and prominent lipid accumulation in ccRCC samples. Immunohistochemistry data was analyzed using two complementary approaches: (1) Quantitative image analysis providing the Area staining intensity, and (2) Observer-based scoring, providing the Histological score. For more details refer to Material and Methods section. (A) Oil Red O was used to visualize lipid accumulation in ccRCC tumors and adjacent kidney tissues. (B) CD36 was assessed using immunohistochemistry. Representative images in (A, B) are not matched from the same patient due to insufficient tissue pairing during sample collection. (C) Expression of CD36 was assessed using the available TCGA data (KIRC dataset). Student’s t-test, *p<0.05, ****p<0.0001. (D) Multiplex immunofluorescence imaging of ccRCC tumor tissues (representative of three patients) depicting CK (cytokeratin) and CD36 expression. White bar represents 10 μm. (E) Flow cytometric analysis of CD36 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. One-way ANOVA with Dunnett post-test comparing to kidney. *p<0.05. (F) Lipidomic analysis of ccRCC tumors and adjacent kidney tissues depicting the percentage of cholesterol esters (CE), triglycerides (TG) and free cholesterol (FC) from all lipids. *p<0.05, Student´s t-test. (G) Data from (F) , with additional species: lysophosphatidylcholine (LPC), lysophosphatidylethanolamine (LPE), sphingosine based ceramides (Cer), phosphatidic acid (PA), hexosylceramides (Hex-Cer), phosphatidylethanolamine (PE), phosphatidylserine (PS), phosphatidylglycerol (PG), PE based plasmalogen (PE P), phosphatidylinositol (PI), cardiolipin (CL), phosphatidylcholine-ether (PC O), phosphatidylcholines (PC), sphingomyelins (SM), diacylglycerol (DAG). Each column represents one individual ccRCC patient. Color represents signal normalized to row mean. Correlation of CD36 staining data [as in (B) ] with the TG levels. Pearson´s correlation, two-tailed p-value.

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: Increased CD36 expression and prominent lipid accumulation in ccRCC samples. Immunohistochemistry data was analyzed using two complementary approaches: (1) Quantitative image analysis providing the Area staining intensity, and (2) Observer-based scoring, providing the Histological score. For more details refer to Material and Methods section. (A) Oil Red O was used to visualize lipid accumulation in ccRCC tumors and adjacent kidney tissues. (B) CD36 was assessed using immunohistochemistry. Representative images in (A, B) are not matched from the same patient due to insufficient tissue pairing during sample collection. (C) Expression of CD36 was assessed using the available TCGA data (KIRC dataset). Student’s t-test, *p<0.05, ****p<0.0001. (D) Multiplex immunofluorescence imaging of ccRCC tumor tissues (representative of three patients) depicting CK (cytokeratin) and CD36 expression. White bar represents 10 μm. (E) Flow cytometric analysis of CD36 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. One-way ANOVA with Dunnett post-test comparing to kidney. *p<0.05. (F) Lipidomic analysis of ccRCC tumors and adjacent kidney tissues depicting the percentage of cholesterol esters (CE), triglycerides (TG) and free cholesterol (FC) from all lipids. *p<0.05, Student´s t-test. (G) Data from (F) , with additional species: lysophosphatidylcholine (LPC), lysophosphatidylethanolamine (LPE), sphingosine based ceramides (Cer), phosphatidic acid (PA), hexosylceramides (Hex-Cer), phosphatidylethanolamine (PE), phosphatidylserine (PS), phosphatidylglycerol (PG), PE based plasmalogen (PE P), phosphatidylinositol (PI), cardiolipin (CL), phosphatidylcholine-ether (PC O), phosphatidylcholines (PC), sphingomyelins (SM), diacylglycerol (DAG). Each column represents one individual ccRCC patient. Color represents signal normalized to row mean. Correlation of CD36 staining data [as in (B) ] with the TG levels. Pearson´s correlation, two-tailed p-value.

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, Staining, Multiplex Assay, Immunofluorescence, Imaging, Fluorescence, Two Tailed Test

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). " width="100%" height="100%">

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).

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: 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 .

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 .

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, 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. .

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. .

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: Single Cell, RNA Sequencing, Expressing