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92
Miltenyi Biotec cd169 pe
A . Left , Representative immunostaining of macrophages in the splenic marginal zone expressing <t>CD169</t> (red) and Tim4 (green); DAPI nuclear staining (blue). Right , FACS contour plots for CD169 and Tim4 expression in splenic CD45 + CD11b low F4/80 low cells and quantitation of Tim4 expression in CD169 + MMMs; n=4. B . Top Left , FACS pseudocolor plots of circulating Ly6C monocytes with histograms identifying CD169 + and CD169 − populations within Ly6C low monocytes, and corresponding cell quantitation; NTM, normalized to mode. Top Right , principal component analysis of top 500 differentially expressed genes (DEGs) from bulk RNAseq of sorted Ly6C low CD169 − and Ly6C low CD169 + cells, and heat maps with dendrograms for 334 DEGs (q<0.05) between the same sub-populations. Bottom , FACS pseudocolor plots of circulating Ly6C low CD169 + Tim4 + macrophages in naïve and spx mice blood with flow histograms identifying CD64 and MHCII surface expression (in black), together with quantitation of frequency or absolute number of the populations shown; n=5-7, statistics: unpaired t test. C. Top, Representative blood FACS dot plots and quantitation of tdTomato (Tdt) expression in blood Ly6C + monocytes from CX3CR1 CreERT ; Rosa26 tdTomato mice after a tamoxifen (TAM) pulse to induce Cre recombination. Shown are data from several time points after TAM and 14 d after splenectomy (Spx) performed at 26 d post-TAM; *p<0.05, n=3, statistics: unpaired t-test. Bottom , representative FACS plots showing CD169 expression in Tdt+ cells 26 d post-TAM pulse and overlay of the CD169 + Tdt + cells (green) on blood Ly6C + monocytes. D . Top , UMAP plots derived from single cell RNA sequencing of blood leukocytes from 3 naïve mice (∼400K total cells, 11 identified cell clusters), heat map demonstrating CD169 ( Siglec1 ) expression primarily in the monocyte cluster, and quantitative expression of select macrophage genes in cells with and without CD169 expression (adjusted FDR p values are shown). E . Left, FACS plots identifying CD169 + Tim4 + cardiac macrophages in intact and Spx mice, overlay of these macrophages on contour plots of CCR2 and LYVE1 expression (in intact mice), and quantitation of overall LYVE1 and CCR2 expression (n=6). Right , quantitation of frequency and number of cardiac CD169 + Tim4 + LYVE1 low macrophages naïve and Spx C57BL/6 mice; n=5-7/group, statistics: unpaired t test.
Cd169 Pe, supplied by Miltenyi Biotec, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Bio X Cell anti mouse pd 1 mab
A . Left , Representative immunostaining of macrophages in the splenic marginal zone expressing <t>CD169</t> (red) and Tim4 (green); DAPI nuclear staining (blue). Right , FACS contour plots for CD169 and Tim4 expression in splenic CD45 + CD11b low F4/80 low cells and quantitation of Tim4 expression in CD169 + MMMs; n=4. B . Top Left , FACS pseudocolor plots of circulating Ly6C monocytes with histograms identifying CD169 + and CD169 − populations within Ly6C low monocytes, and corresponding cell quantitation; NTM, normalized to mode. Top Right , principal component analysis of top 500 differentially expressed genes (DEGs) from bulk RNAseq of sorted Ly6C low CD169 − and Ly6C low CD169 + cells, and heat maps with dendrograms for 334 DEGs (q<0.05) between the same sub-populations. Bottom , FACS pseudocolor plots of circulating Ly6C low CD169 + Tim4 + macrophages in naïve and spx mice blood with flow histograms identifying CD64 and MHCII surface expression (in black), together with quantitation of frequency or absolute number of the populations shown; n=5-7, statistics: unpaired t test. C. Top, Representative blood FACS dot plots and quantitation of tdTomato (Tdt) expression in blood Ly6C + monocytes from CX3CR1 CreERT ; Rosa26 tdTomato mice after a tamoxifen (TAM) pulse to induce Cre recombination. Shown are data from several time points after TAM and 14 d after splenectomy (Spx) performed at 26 d post-TAM; *p<0.05, n=3, statistics: unpaired t-test. Bottom , representative FACS plots showing CD169 expression in Tdt+ cells 26 d post-TAM pulse and overlay of the CD169 + Tdt + cells (green) on blood Ly6C + monocytes. D . Top , UMAP plots derived from single cell RNA sequencing of blood leukocytes from 3 naïve mice (∼400K total cells, 11 identified cell clusters), heat map demonstrating CD169 ( Siglec1 ) expression primarily in the monocyte cluster, and quantitative expression of select macrophage genes in cells with and without CD169 expression (adjusted FDR p values are shown). E . Left, FACS plots identifying CD169 + Tim4 + cardiac macrophages in intact and Spx mice, overlay of these macrophages on contour plots of CCR2 and LYVE1 expression (in intact mice), and quantitation of overall LYVE1 and CCR2 expression (n=6). Right , quantitation of frequency and number of cardiac CD169 + Tim4 + LYVE1 low macrophages naïve and Spx C57BL/6 mice; n=5-7/group, statistics: unpaired t test.
Anti Mouse Pd 1 Mab, supplied by Bio X Cell, 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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Proteintech complement c3 rabbit pab
A . Left , Representative immunostaining of macrophages in the splenic marginal zone expressing <t>CD169</t> (red) and Tim4 (green); DAPI nuclear staining (blue). Right , FACS contour plots for CD169 and Tim4 expression in splenic CD45 + CD11b low F4/80 low cells and quantitation of Tim4 expression in CD169 + MMMs; n=4. B . Top Left , FACS pseudocolor plots of circulating Ly6C monocytes with histograms identifying CD169 + and CD169 − populations within Ly6C low monocytes, and corresponding cell quantitation; NTM, normalized to mode. Top Right , principal component analysis of top 500 differentially expressed genes (DEGs) from bulk RNAseq of sorted Ly6C low CD169 − and Ly6C low CD169 + cells, and heat maps with dendrograms for 334 DEGs (q<0.05) between the same sub-populations. Bottom , FACS pseudocolor plots of circulating Ly6C low CD169 + Tim4 + macrophages in naïve and spx mice blood with flow histograms identifying CD64 and MHCII surface expression (in black), together with quantitation of frequency or absolute number of the populations shown; n=5-7, statistics: unpaired t test. C. Top, Representative blood FACS dot plots and quantitation of tdTomato (Tdt) expression in blood Ly6C + monocytes from CX3CR1 CreERT ; Rosa26 tdTomato mice after a tamoxifen (TAM) pulse to induce Cre recombination. Shown are data from several time points after TAM and 14 d after splenectomy (Spx) performed at 26 d post-TAM; *p<0.05, n=3, statistics: unpaired t-test. Bottom , representative FACS plots showing CD169 expression in Tdt+ cells 26 d post-TAM pulse and overlay of the CD169 + Tdt + cells (green) on blood Ly6C + monocytes. D . Top , UMAP plots derived from single cell RNA sequencing of blood leukocytes from 3 naïve mice (∼400K total cells, 11 identified cell clusters), heat map demonstrating CD169 ( Siglec1 ) expression primarily in the monocyte cluster, and quantitative expression of select macrophage genes in cells with and without CD169 expression (adjusted FDR p values are shown). E . Left, FACS plots identifying CD169 + Tim4 + cardiac macrophages in intact and Spx mice, overlay of these macrophages on contour plots of CCR2 and LYVE1 expression (in intact mice), and quantitation of overall LYVE1 and CCR2 expression (n=6). Right , quantitation of frequency and number of cardiac CD169 + Tim4 + LYVE1 low macrophages naïve and Spx C57BL/6 mice; n=5-7/group, statistics: unpaired t test.
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Proteintech anti hoxa7
A . Left , Representative immunostaining of macrophages in the splenic marginal zone expressing <t>CD169</t> (red) and Tim4 (green); DAPI nuclear staining (blue). Right , FACS contour plots for CD169 and Tim4 expression in splenic CD45 + CD11b low F4/80 low cells and quantitation of Tim4 expression in CD169 + MMMs; n=4. B . Top Left , FACS pseudocolor plots of circulating Ly6C monocytes with histograms identifying CD169 + and CD169 − populations within Ly6C low monocytes, and corresponding cell quantitation; NTM, normalized to mode. Top Right , principal component analysis of top 500 differentially expressed genes (DEGs) from bulk RNAseq of sorted Ly6C low CD169 − and Ly6C low CD169 + cells, and heat maps with dendrograms for 334 DEGs (q<0.05) between the same sub-populations. Bottom , FACS pseudocolor plots of circulating Ly6C low CD169 + Tim4 + macrophages in naïve and spx mice blood with flow histograms identifying CD64 and MHCII surface expression (in black), together with quantitation of frequency or absolute number of the populations shown; n=5-7, statistics: unpaired t test. C. Top, Representative blood FACS dot plots and quantitation of tdTomato (Tdt) expression in blood Ly6C + monocytes from CX3CR1 CreERT ; Rosa26 tdTomato mice after a tamoxifen (TAM) pulse to induce Cre recombination. Shown are data from several time points after TAM and 14 d after splenectomy (Spx) performed at 26 d post-TAM; *p<0.05, n=3, statistics: unpaired t-test. Bottom , representative FACS plots showing CD169 expression in Tdt+ cells 26 d post-TAM pulse and overlay of the CD169 + Tdt + cells (green) on blood Ly6C + monocytes. D . Top , UMAP plots derived from single cell RNA sequencing of blood leukocytes from 3 naïve mice (∼400K total cells, 11 identified cell clusters), heat map demonstrating CD169 ( Siglec1 ) expression primarily in the monocyte cluster, and quantitative expression of select macrophage genes in cells with and without CD169 expression (adjusted FDR p values are shown). E . Left, FACS plots identifying CD169 + Tim4 + cardiac macrophages in intact and Spx mice, overlay of these macrophages on contour plots of CCR2 and LYVE1 expression (in intact mice), and quantitation of overall LYVE1 and CCR2 expression (n=6). Right , quantitation of frequency and number of cardiac CD169 + Tim4 + LYVE1 low macrophages naïve and Spx C57BL/6 mice; n=5-7/group, statistics: unpaired t test.
Anti Hoxa7, supplied by Proteintech, used in various techniques. Bioz Stars score: 91/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Proteintech anti oxa1l
A . Left , Representative immunostaining of macrophages in the splenic marginal zone expressing <t>CD169</t> (red) and Tim4 (green); DAPI nuclear staining (blue). Right , FACS contour plots for CD169 and Tim4 expression in splenic CD45 + CD11b low F4/80 low cells and quantitation of Tim4 expression in CD169 + MMMs; n=4. B . Top Left , FACS pseudocolor plots of circulating Ly6C monocytes with histograms identifying CD169 + and CD169 − populations within Ly6C low monocytes, and corresponding cell quantitation; NTM, normalized to mode. Top Right , principal component analysis of top 500 differentially expressed genes (DEGs) from bulk RNAseq of sorted Ly6C low CD169 − and Ly6C low CD169 + cells, and heat maps with dendrograms for 334 DEGs (q<0.05) between the same sub-populations. Bottom , FACS pseudocolor plots of circulating Ly6C low CD169 + Tim4 + macrophages in naïve and spx mice blood with flow histograms identifying CD64 and MHCII surface expression (in black), together with quantitation of frequency or absolute number of the populations shown; n=5-7, statistics: unpaired t test. C. Top, Representative blood FACS dot plots and quantitation of tdTomato (Tdt) expression in blood Ly6C + monocytes from CX3CR1 CreERT ; Rosa26 tdTomato mice after a tamoxifen (TAM) pulse to induce Cre recombination. Shown are data from several time points after TAM and 14 d after splenectomy (Spx) performed at 26 d post-TAM; *p<0.05, n=3, statistics: unpaired t-test. Bottom , representative FACS plots showing CD169 expression in Tdt+ cells 26 d post-TAM pulse and overlay of the CD169 + Tdt + cells (green) on blood Ly6C + monocytes. D . Top , UMAP plots derived from single cell RNA sequencing of blood leukocytes from 3 naïve mice (∼400K total cells, 11 identified cell clusters), heat map demonstrating CD169 ( Siglec1 ) expression primarily in the monocyte cluster, and quantitative expression of select macrophage genes in cells with and without CD169 expression (adjusted FDR p values are shown). E . Left, FACS plots identifying CD169 + Tim4 + cardiac macrophages in intact and Spx mice, overlay of these macrophages on contour plots of CCR2 and LYVE1 expression (in intact mice), and quantitation of overall LYVE1 and CCR2 expression (n=6). Right , quantitation of frequency and number of cardiac CD169 + Tim4 + LYVE1 low macrophages naïve and Spx C57BL/6 mice; n=5-7/group, statistics: unpaired t test.
Anti Oxa1l, 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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Proteintech itgb3
Fig. 5. Effect of PFOS on endometrial receptivity. (A) Molecular docking of PFOS with HOXA10 and <t>ITGB3.</t> (B) The mRNA expression levels of HOXA10, ITGB3 were detected by using RT-qPCR. (C-D) Expression and quantification of HOXA10, ITGB3 and FOXO1 proteins in cells. Mitochondrial damage (red arrow) in endometrial stromal cells. Immunofluorescence staining reveals expression of HOXA10 (E), ITGB3 (F) and FOXO1(G) in endometrial stromal cells. (H) Immunofluorescence statistical analysis. (I) Transmission electron microscopy showed the normal mitochondrial morphology (green arrow), Scale bar = 200 μm. Results are presented as the means ± SEM. *P < 0.05, **P < 0.01, ***P < 0.001.
Itgb3, supplied by Proteintech, 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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Proteintech p akt
Fig. 5. Effect of PFOS on endometrial receptivity. (A) Molecular docking of PFOS with HOXA10 and <t>ITGB3.</t> (B) The mRNA expression levels of HOXA10, ITGB3 were detected by using RT-qPCR. (C-D) Expression and quantification of HOXA10, ITGB3 and FOXO1 proteins in cells. Mitochondrial damage (red arrow) in endometrial stromal cells. Immunofluorescence staining reveals expression of HOXA10 (E), ITGB3 (F) and FOXO1(G) in endometrial stromal cells. (H) Immunofluorescence statistical analysis. (I) Transmission electron microscopy showed the normal mitochondrial morphology (green arrow), Scale bar = 200 μm. Results are presented as the means ± SEM. *P < 0.05, **P < 0.01, ***P < 0.001.
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Proteintech nf κb p65 monoclonal antibody
( A – C ) mRNA levels of NLRP3, Caspase-1, GSDMD in NHEK cells, n = 3. ( D – I ) Protein levels of NF-κB, <t>P65,</t> NLRP3, caspase-1, GSDMD in NHEK cells, n = 3.*P < 0.05, **P < 0.01, ***P < 0.001 compared with Control; # P < 0.05, ## P < 0.01, ### P < 0.001 compared with Model; & P < 0.05, && P < 0.01, &&& P < 0.001 compared with QS; ^P < 0.05, ^^P < 0.01 compared with Mcc950.
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Proteintech g6pd
CELF1 promotes breast cancer cell aerobic glycolysis in vitro . (A) Enriched Gene Ontology (GO) terms of significantly differentially expressed genes between CELF1-knocked-out MCF7 cells and wild-type MCF7 cells. (B) GSEA shows the enriched hallmarks pathways between CELF1-knocked-out MCF7 cells and wild-type MCF7 cells. (C) GSEA shows the molecules that are significantly altered in the glycolytic pathway. (D) The volcano plot of differentially expressed genes between CELF1-knocked-out MCF7 cells and wild-type MCF7 cells. (E) Differential mRNA expressions of GLUT1, HK2, and <t>G6PD</t> in CELF1-knocked-out MCF7 cells and wild-type MCF7 cells.
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Proteintech immunohistochemistry ihc staining for rhoc
FIGURE 3 CNF1 modulates the expression of HIF1α and the secretion of VEGF by activating <t>RhoC</t> in bladder cancer cells. A, T24 cells were transfected with a scrambled control siRNA or those targeting respective Rho GTPase siRNAs for 24 hours, followed by stimulation with PBS or CNF1 (3 nmol/L) for another 24 hours under hypoxic conditions, and HIF1α expression was examined by western blotting. B, T24 cells were incubated with PBS or CNF1 for 3 to 36 hours and mobility-shifting was examined by electrophoresis. C, Western blotting analysis of activated RhoC in T24 cells treated with recombinant CNF1 protein (3 nmol/L) or PBS for 24 hours after immunoprecipitation with GTP pull-down assays using anti-RhoC antibody. D, Western blotting analysis of T24 cells transfected with vector, wild-type RhoC, or constitutively active RhoC (Q63E) under hypoxic conditions. E, T24 cells were transfected with vector, wild-type RhoC, or Q63E for 48 hours, and VEGF secretion in the culture medium was examined by ELISA (n = 3, three independent experiments). F, T24 cells were transfected with scrambled or RhoC siRNA for 24 hours followed by stimulation with CNF1 protein (3 nmol/L) or PBS for 24 hours, and VEGF secretion in culture medium was examined by ELISA (n = 3, three independent experiments). Data are the mean ± SD. *P < .05, **P < .01; one-way ANOVA (E, F)
Immunohistochemistry Ihc Staining For Rhoc, 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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Proteintech oip5
Genes regulated by Taxotere ® and docetaxel-loaded solid lipid nanoparticles were confirmed by quantitative polymerase chain reaction and immunoblotting. Notes: Cell cycle-related genes of E2F8 ( A ) and <t>OIP5</t> ( B ), proliferation-related genes of NASP ( C ) and SOD2 ( D ), and apoptosis-related genes of PDCD4 ( E ) and PIK3R2 ( F ) were chosen for detection by quantitative polymerase chain reaction and immunoblotting. In quantitative polymerase chain reaction detection, mock-treated cells were set as the control and samples were normalized with the control. In immunoblotting detection, β-actin was used as the loading control. Abbreviations: BSN, blank solid lipid nanoparticle; DSN, docetaxel-loaded solid lipid nanoparticle; GLU, glucose; qPCR, quantitative polymerase chain reaction; TAX, Taxotere.
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Proteintech rabbit anti oga
Genes regulated by Taxotere ® and docetaxel-loaded solid lipid nanoparticles were confirmed by quantitative polymerase chain reaction and immunoblotting. Notes: Cell cycle-related genes of E2F8 ( A ) and <t>OIP5</t> ( B ), proliferation-related genes of NASP ( C ) and SOD2 ( D ), and apoptosis-related genes of PDCD4 ( E ) and PIK3R2 ( F ) were chosen for detection by quantitative polymerase chain reaction and immunoblotting. In quantitative polymerase chain reaction detection, mock-treated cells were set as the control and samples were normalized with the control. In immunoblotting detection, β-actin was used as the loading control. Abbreviations: BSN, blank solid lipid nanoparticle; DSN, docetaxel-loaded solid lipid nanoparticle; GLU, glucose; qPCR, quantitative polymerase chain reaction; TAX, Taxotere.
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Image Search Results


A . Left , Representative immunostaining of macrophages in the splenic marginal zone expressing CD169 (red) and Tim4 (green); DAPI nuclear staining (blue). Right , FACS contour plots for CD169 and Tim4 expression in splenic CD45 + CD11b low F4/80 low cells and quantitation of Tim4 expression in CD169 + MMMs; n=4. B . Top Left , FACS pseudocolor plots of circulating Ly6C monocytes with histograms identifying CD169 + and CD169 − populations within Ly6C low monocytes, and corresponding cell quantitation; NTM, normalized to mode. Top Right , principal component analysis of top 500 differentially expressed genes (DEGs) from bulk RNAseq of sorted Ly6C low CD169 − and Ly6C low CD169 + cells, and heat maps with dendrograms for 334 DEGs (q<0.05) between the same sub-populations. Bottom , FACS pseudocolor plots of circulating Ly6C low CD169 + Tim4 + macrophages in naïve and spx mice blood with flow histograms identifying CD64 and MHCII surface expression (in black), together with quantitation of frequency or absolute number of the populations shown; n=5-7, statistics: unpaired t test. C. Top, Representative blood FACS dot plots and quantitation of tdTomato (Tdt) expression in blood Ly6C + monocytes from CX3CR1 CreERT ; Rosa26 tdTomato mice after a tamoxifen (TAM) pulse to induce Cre recombination. Shown are data from several time points after TAM and 14 d after splenectomy (Spx) performed at 26 d post-TAM; *p<0.05, n=3, statistics: unpaired t-test. Bottom , representative FACS plots showing CD169 expression in Tdt+ cells 26 d post-TAM pulse and overlay of the CD169 + Tdt + cells (green) on blood Ly6C + monocytes. D . Top , UMAP plots derived from single cell RNA sequencing of blood leukocytes from 3 naïve mice (∼400K total cells, 11 identified cell clusters), heat map demonstrating CD169 ( Siglec1 ) expression primarily in the monocyte cluster, and quantitative expression of select macrophage genes in cells with and without CD169 expression (adjusted FDR p values are shown). E . Left, FACS plots identifying CD169 + Tim4 + cardiac macrophages in intact and Spx mice, overlay of these macrophages on contour plots of CCR2 and LYVE1 expression (in intact mice), and quantitation of overall LYVE1 and CCR2 expression (n=6). Right , quantitation of frequency and number of cardiac CD169 + Tim4 + LYVE1 low macrophages naïve and Spx C57BL/6 mice; n=5-7/group, statistics: unpaired t test.

Journal: medRxiv

Article Title: Splenic CD169 + Tim4 + Marginal Metallophilic Macrophages Are Essential for Wound Healing After Myocardial Infarction

doi: 10.1101/2024.08.09.24311769

Figure Lengend Snippet: A . Left , Representative immunostaining of macrophages in the splenic marginal zone expressing CD169 (red) and Tim4 (green); DAPI nuclear staining (blue). Right , FACS contour plots for CD169 and Tim4 expression in splenic CD45 + CD11b low F4/80 low cells and quantitation of Tim4 expression in CD169 + MMMs; n=4. B . Top Left , FACS pseudocolor plots of circulating Ly6C monocytes with histograms identifying CD169 + and CD169 − populations within Ly6C low monocytes, and corresponding cell quantitation; NTM, normalized to mode. Top Right , principal component analysis of top 500 differentially expressed genes (DEGs) from bulk RNAseq of sorted Ly6C low CD169 − and Ly6C low CD169 + cells, and heat maps with dendrograms for 334 DEGs (q<0.05) between the same sub-populations. Bottom , FACS pseudocolor plots of circulating Ly6C low CD169 + Tim4 + macrophages in naïve and spx mice blood with flow histograms identifying CD64 and MHCII surface expression (in black), together with quantitation of frequency or absolute number of the populations shown; n=5-7, statistics: unpaired t test. C. Top, Representative blood FACS dot plots and quantitation of tdTomato (Tdt) expression in blood Ly6C + monocytes from CX3CR1 CreERT ; Rosa26 tdTomato mice after a tamoxifen (TAM) pulse to induce Cre recombination. Shown are data from several time points after TAM and 14 d after splenectomy (Spx) performed at 26 d post-TAM; *p<0.05, n=3, statistics: unpaired t-test. Bottom , representative FACS plots showing CD169 expression in Tdt+ cells 26 d post-TAM pulse and overlay of the CD169 + Tdt + cells (green) on blood Ly6C + monocytes. D . Top , UMAP plots derived from single cell RNA sequencing of blood leukocytes from 3 naïve mice (∼400K total cells, 11 identified cell clusters), heat map demonstrating CD169 ( Siglec1 ) expression primarily in the monocyte cluster, and quantitative expression of select macrophage genes in cells with and without CD169 expression (adjusted FDR p values are shown). E . Left, FACS plots identifying CD169 + Tim4 + cardiac macrophages in intact and Spx mice, overlay of these macrophages on contour plots of CCR2 and LYVE1 expression (in intact mice), and quantitation of overall LYVE1 and CCR2 expression (n=6). Right , quantitation of frequency and number of cardiac CD169 + Tim4 + LYVE1 low macrophages naïve and Spx C57BL/6 mice; n=5-7/group, statistics: unpaired t test.

Article Snippet: Cell suspensions were incubated with anti-mouse CD16/32 (clone 93, BioLegend) for 10 min at 4°C to block Fcγ receptors, and then stained for 60 minutes in staining buffer with anti-mouse fluorochrome-conjugated antibodies in panel appropriate combinations for specific experiments as follows: Ly6C-PE-Cy7 (HK1.4, eBioscience), Ly6C-PE Vio770 (1G7.G10, Miltenyi Biotec), CD45.1-FITC (A20, Miltenyi Biotec), CD45.2-PE (104, BD Biosciences), CD169-PE (REA197, Miltenyi Biotec; and 3D6.112, BioLegend), CD11b-Alexa Fluor 700 (M1/70, eBioscience), Tim4-Alexa Fluor 647 (RMT4-54, BioLegend), Gr1/Ly6G-eFluor 450 (RB6-8C5, eBioscience), F4/80-PerCP-Cy5.5 (BM8, eBioscience), MARCO-FITC (ED31, Novus Biologicals), CD45-600 Super Bright (30-F11, eBioscience), CD45-PE-Cy7 (30-F11, BD Biosciences), LYVE1 Alexa Fluor 488 (ALY7, eBioscience), CD45-605 NC (30-F11, eBioscience), CD54(ICAM-1)-PE (eBioKat-1, eBioscience), MHCII (I-A/I-E)-APC-eFluor780 (M5/114.15.2, eBioscience), TGFβ1-APC (TW7-16B4, BioLegend), CD54-FITC (YN1/1.7.4, BioLegend), CD169-PerCP/Cy5.5 (3D6.112, BioLegend), CD169-PE (3D6.112, BioLegend), CD64-Brilliant Violet 605 (X54-5/7.1, BioLegend), CD206-FITC (MR5D3, AbD Serotech), CD45-eVolve 605 (30-F11, eBioscience), CD206-Alexa Fluor 647 (MR5D3, Bio-Rad), IL17A-Alexa Fluor 700 (TC11-18H10.1, BioLegend), CD34-Alexa Fluor 647 (SA376A4, BioLegend), CD117(c-kit)-PE/Cy7 (ACK2, BioLegend), NOS2-TRITC (N-20, Santa Cruz Biotechnology), and CD16/32-PE (93, BioLegend, without pre-Fcγ receptor blocking).

Techniques: Immunostaining, Expressing, Staining, Quantitation Assay, Derivative Assay, RNA Sequencing

A . FACS plots and group quantitation for circulating Ly6C low CD169 + Tim4 + macrophages in sham-operated and MI wild type (WT) C57BL/6 mice 1 d post-MI; n=4/group, statistics: unpaired t test. B. Left , Flow histograms demonstrating surface expression of CCR3 and CCR4 in Ly6C low CD169 + Tim4 + macrophages from the same groups; statistics: unpaired t test, NTM, normalized to mode, y-axis represents cell counts. Right , chemokine gene expression by RT-PCR (normalized to 18s) in the myocardial border zone (BZ) 1 d after MI or sham operation; n=4-5/group, statistics: unpaired t test. *p<0.05, **p<0.01, ***p<0.001 versus sham. C . Left , Circulating Ly6C low CD169 + Tim4 + cell frequency prior to and 1 d after MI in Spx mice; n=9, statistics: paired t test. NS, not significant. D. FACS density plots, histograms, and quantitation of cardiac Ly6C low CD169 + Tim4 + macrophages in WT and Spx mice 1 d post-MI or sham operation; n=4-7/group, statistics: unpaired t test. E . Immunostains and FACS dot plots of splenic CD169 + MMMs (red) 24 h after MI or sham operation, and quantitation of MMM frequency by FACS and spleen weight (Wt); n=5-7/group, statistics: unpaired t test. TL, tibia length. F . Left , FACS dot plots and histograms, and corresponding quantitation, of blood and heart Ly6C low CD169 + Tim4 + Bioparticle + cells from sham and MI mice given 10 mg/kg Texas Red-conjugated bioparticles i.v. 3 h before sacrifice; n=3-4/group, statistics: unpaired t test for blood and non-parametric Mann-Whitney U test for heart (non-normal distribution). Right, quantitation of splenic BioParticle + MMMs in the same experimental mouse groups; statistics: unpaired t test.

Journal: medRxiv

Article Title: Splenic CD169 + Tim4 + Marginal Metallophilic Macrophages Are Essential for Wound Healing After Myocardial Infarction

doi: 10.1101/2024.08.09.24311769

Figure Lengend Snippet: A . FACS plots and group quantitation for circulating Ly6C low CD169 + Tim4 + macrophages in sham-operated and MI wild type (WT) C57BL/6 mice 1 d post-MI; n=4/group, statistics: unpaired t test. B. Left , Flow histograms demonstrating surface expression of CCR3 and CCR4 in Ly6C low CD169 + Tim4 + macrophages from the same groups; statistics: unpaired t test, NTM, normalized to mode, y-axis represents cell counts. Right , chemokine gene expression by RT-PCR (normalized to 18s) in the myocardial border zone (BZ) 1 d after MI or sham operation; n=4-5/group, statistics: unpaired t test. *p<0.05, **p<0.01, ***p<0.001 versus sham. C . Left , Circulating Ly6C low CD169 + Tim4 + cell frequency prior to and 1 d after MI in Spx mice; n=9, statistics: paired t test. NS, not significant. D. FACS density plots, histograms, and quantitation of cardiac Ly6C low CD169 + Tim4 + macrophages in WT and Spx mice 1 d post-MI or sham operation; n=4-7/group, statistics: unpaired t test. E . Immunostains and FACS dot plots of splenic CD169 + MMMs (red) 24 h after MI or sham operation, and quantitation of MMM frequency by FACS and spleen weight (Wt); n=5-7/group, statistics: unpaired t test. TL, tibia length. F . Left , FACS dot plots and histograms, and corresponding quantitation, of blood and heart Ly6C low CD169 + Tim4 + Bioparticle + cells from sham and MI mice given 10 mg/kg Texas Red-conjugated bioparticles i.v. 3 h before sacrifice; n=3-4/group, statistics: unpaired t test for blood and non-parametric Mann-Whitney U test for heart (non-normal distribution). Right, quantitation of splenic BioParticle + MMMs in the same experimental mouse groups; statistics: unpaired t test.

Article Snippet: Cell suspensions were incubated with anti-mouse CD16/32 (clone 93, BioLegend) for 10 min at 4°C to block Fcγ receptors, and then stained for 60 minutes in staining buffer with anti-mouse fluorochrome-conjugated antibodies in panel appropriate combinations for specific experiments as follows: Ly6C-PE-Cy7 (HK1.4, eBioscience), Ly6C-PE Vio770 (1G7.G10, Miltenyi Biotec), CD45.1-FITC (A20, Miltenyi Biotec), CD45.2-PE (104, BD Biosciences), CD169-PE (REA197, Miltenyi Biotec; and 3D6.112, BioLegend), CD11b-Alexa Fluor 700 (M1/70, eBioscience), Tim4-Alexa Fluor 647 (RMT4-54, BioLegend), Gr1/Ly6G-eFluor 450 (RB6-8C5, eBioscience), F4/80-PerCP-Cy5.5 (BM8, eBioscience), MARCO-FITC (ED31, Novus Biologicals), CD45-600 Super Bright (30-F11, eBioscience), CD45-PE-Cy7 (30-F11, BD Biosciences), LYVE1 Alexa Fluor 488 (ALY7, eBioscience), CD45-605 NC (30-F11, eBioscience), CD54(ICAM-1)-PE (eBioKat-1, eBioscience), MHCII (I-A/I-E)-APC-eFluor780 (M5/114.15.2, eBioscience), TGFβ1-APC (TW7-16B4, BioLegend), CD54-FITC (YN1/1.7.4, BioLegend), CD169-PerCP/Cy5.5 (3D6.112, BioLegend), CD169-PE (3D6.112, BioLegend), CD64-Brilliant Violet 605 (X54-5/7.1, BioLegend), CD206-FITC (MR5D3, AbD Serotech), CD45-eVolve 605 (30-F11, eBioscience), CD206-Alexa Fluor 647 (MR5D3, Bio-Rad), IL17A-Alexa Fluor 700 (TC11-18H10.1, BioLegend), CD34-Alexa Fluor 647 (SA376A4, BioLegend), CD117(c-kit)-PE/Cy7 (ACK2, BioLegend), NOS2-TRITC (N-20, Santa Cruz Biotechnology), and CD16/32-PE (93, BioLegend, without pre-Fcγ receptor blocking).

Techniques: Quantitation Assay, Expressing, Gene Expression, Reverse Transcription Polymerase Chain Reaction, MANN-WHITNEY

A Left , Parabiosis schema joining CD45 isotype-mismatched host (spleen-intact or after splenectomy [Spx]) and donor parabiont mice, with MI induced in the host. Middle and Right , FACS plots and quantitation of donor chimerism in host mouse blood (total CD45 + leukocytes) and heart (Ly6C low CD169 + macrophages) in spleen-intact and Spx host mice 48 h after MI. n=4-7/group, statistics: unpaired t-test. B Top Left , Parabiosis schema joining CD169 DTR host and donor parabiont MaFIA mice, with host mice given either vehicle or diphtheria toxin (DT) at the time of MI. Right , Representative FACS dot plots of donor GFP + CD169 + macrophages in 48 h post MI hearts from host mice and flow histograms of CD169 expression in GFP + CD64 + MHCII + Tim4 + cells delineated as NTM or cell counts. Bottom Left , quantitation of GFP + frequency in host cardiac CD169 + Tim4 + macrophages and total CD169 + Tim4 + cells as a percentage of all autofluorescent(Auto) + macrophages in vehicle and DT treated host MI mice; n=3-4/group, statistics: unpaired t test. C. Left , Parabiosis schema joining CD169 DTR host mice and either spleen-intact or Spx MaFIA donor parabionts, with host mice given DT at the time of MI to deplete CD169 + macrophages. Right , Example FACS dot plots and quantitation of donor CD45 + Auto + CD64 + MHCII + GFP + CD169 + Tim4 + macrophages in the host MI heart 48 h post MI; n=3-4/group, statistics: unpaired t test.

Journal: medRxiv

Article Title: Splenic CD169 + Tim4 + Marginal Metallophilic Macrophages Are Essential for Wound Healing After Myocardial Infarction

doi: 10.1101/2024.08.09.24311769

Figure Lengend Snippet: A Left , Parabiosis schema joining CD45 isotype-mismatched host (spleen-intact or after splenectomy [Spx]) and donor parabiont mice, with MI induced in the host. Middle and Right , FACS plots and quantitation of donor chimerism in host mouse blood (total CD45 + leukocytes) and heart (Ly6C low CD169 + macrophages) in spleen-intact and Spx host mice 48 h after MI. n=4-7/group, statistics: unpaired t-test. B Top Left , Parabiosis schema joining CD169 DTR host and donor parabiont MaFIA mice, with host mice given either vehicle or diphtheria toxin (DT) at the time of MI. Right , Representative FACS dot plots of donor GFP + CD169 + macrophages in 48 h post MI hearts from host mice and flow histograms of CD169 expression in GFP + CD64 + MHCII + Tim4 + cells delineated as NTM or cell counts. Bottom Left , quantitation of GFP + frequency in host cardiac CD169 + Tim4 + macrophages and total CD169 + Tim4 + cells as a percentage of all autofluorescent(Auto) + macrophages in vehicle and DT treated host MI mice; n=3-4/group, statistics: unpaired t test. C. Left , Parabiosis schema joining CD169 DTR host mice and either spleen-intact or Spx MaFIA donor parabionts, with host mice given DT at the time of MI to deplete CD169 + macrophages. Right , Example FACS dot plots and quantitation of donor CD45 + Auto + CD64 + MHCII + GFP + CD169 + Tim4 + macrophages in the host MI heart 48 h post MI; n=3-4/group, statistics: unpaired t test.

Article Snippet: Cell suspensions were incubated with anti-mouse CD16/32 (clone 93, BioLegend) for 10 min at 4°C to block Fcγ receptors, and then stained for 60 minutes in staining buffer with anti-mouse fluorochrome-conjugated antibodies in panel appropriate combinations for specific experiments as follows: Ly6C-PE-Cy7 (HK1.4, eBioscience), Ly6C-PE Vio770 (1G7.G10, Miltenyi Biotec), CD45.1-FITC (A20, Miltenyi Biotec), CD45.2-PE (104, BD Biosciences), CD169-PE (REA197, Miltenyi Biotec; and 3D6.112, BioLegend), CD11b-Alexa Fluor 700 (M1/70, eBioscience), Tim4-Alexa Fluor 647 (RMT4-54, BioLegend), Gr1/Ly6G-eFluor 450 (RB6-8C5, eBioscience), F4/80-PerCP-Cy5.5 (BM8, eBioscience), MARCO-FITC (ED31, Novus Biologicals), CD45-600 Super Bright (30-F11, eBioscience), CD45-PE-Cy7 (30-F11, BD Biosciences), LYVE1 Alexa Fluor 488 (ALY7, eBioscience), CD45-605 NC (30-F11, eBioscience), CD54(ICAM-1)-PE (eBioKat-1, eBioscience), MHCII (I-A/I-E)-APC-eFluor780 (M5/114.15.2, eBioscience), TGFβ1-APC (TW7-16B4, BioLegend), CD54-FITC (YN1/1.7.4, BioLegend), CD169-PerCP/Cy5.5 (3D6.112, BioLegend), CD169-PE (3D6.112, BioLegend), CD64-Brilliant Violet 605 (X54-5/7.1, BioLegend), CD206-FITC (MR5D3, AbD Serotech), CD45-eVolve 605 (30-F11, eBioscience), CD206-Alexa Fluor 647 (MR5D3, Bio-Rad), IL17A-Alexa Fluor 700 (TC11-18H10.1, BioLegend), CD34-Alexa Fluor 647 (SA376A4, BioLegend), CD117(c-kit)-PE/Cy7 (ACK2, BioLegend), NOS2-TRITC (N-20, Santa Cruz Biotechnology), and CD16/32-PE (93, BioLegend, without pre-Fcγ receptor blocking).

Techniques: Quantitation Assay, Expressing

A . Left, FACS pseudocolor plots of cardiac CD169 + Tim4 + macrophages and separation based on LYVE1 surface expression in naïve and 1 d post-MI mice. Right , quantitation of LYVE1 hi and LYVE1 low CD169 + Tim4 + macrophages in hearts from naïve and 1 d post-MI mice. n=4-6/group; statistics: unpaired t test. B . Heat map of 462 significant (p adjusted<0.05) DEGs by RNAseq analysis in sorted LYVE1 hi and LYVE1 low CD169 + Tim4 + cardiac macrophages 1 d post-MI. C. PCA plots using the top 500 DEGs after rlog transformation of RNAseq data from these macrophages sorted from the indicated sites in naïve and 1 d post-MI mice. D. Left , Flow histograms depicting LYVE1 surface expression on cardiac CD169 + Tim4 + macrophages (green) and total Autofluorescence + CD64 + MHCII + macrophages (brown) in WT and Spx mice, 1 d post-MI. Right , FACS quantitation of LYVE1 hi and LYVE1 low CD169 + Tim4 + macrophages in the hearts of WT and Spx mice, 1 d post-MI; n=5-6/group. Statistics: unpaired t test. E. Representative confocal micrograph of border zone (BZ) myocardium immunostained for CD169 (red) and Tim4 (green) 1 d post-MI in WT and Spx mice; nuclear staining with DAPI (blue). Scale bar, 200 μm. Inset shows magnified images of CD169 and Tim4 staining. Yellow arrows indicate double positive cells; scale bar 10 μm.

Journal: medRxiv

Article Title: Splenic CD169 + Tim4 + Marginal Metallophilic Macrophages Are Essential for Wound Healing After Myocardial Infarction

doi: 10.1101/2024.08.09.24311769

Figure Lengend Snippet: A . Left, FACS pseudocolor plots of cardiac CD169 + Tim4 + macrophages and separation based on LYVE1 surface expression in naïve and 1 d post-MI mice. Right , quantitation of LYVE1 hi and LYVE1 low CD169 + Tim4 + macrophages in hearts from naïve and 1 d post-MI mice. n=4-6/group; statistics: unpaired t test. B . Heat map of 462 significant (p adjusted<0.05) DEGs by RNAseq analysis in sorted LYVE1 hi and LYVE1 low CD169 + Tim4 + cardiac macrophages 1 d post-MI. C. PCA plots using the top 500 DEGs after rlog transformation of RNAseq data from these macrophages sorted from the indicated sites in naïve and 1 d post-MI mice. D. Left , Flow histograms depicting LYVE1 surface expression on cardiac CD169 + Tim4 + macrophages (green) and total Autofluorescence + CD64 + MHCII + macrophages (brown) in WT and Spx mice, 1 d post-MI. Right , FACS quantitation of LYVE1 hi and LYVE1 low CD169 + Tim4 + macrophages in the hearts of WT and Spx mice, 1 d post-MI; n=5-6/group. Statistics: unpaired t test. E. Representative confocal micrograph of border zone (BZ) myocardium immunostained for CD169 (red) and Tim4 (green) 1 d post-MI in WT and Spx mice; nuclear staining with DAPI (blue). Scale bar, 200 μm. Inset shows magnified images of CD169 and Tim4 staining. Yellow arrows indicate double positive cells; scale bar 10 μm.

Article Snippet: Cell suspensions were incubated with anti-mouse CD16/32 (clone 93, BioLegend) for 10 min at 4°C to block Fcγ receptors, and then stained for 60 minutes in staining buffer with anti-mouse fluorochrome-conjugated antibodies in panel appropriate combinations for specific experiments as follows: Ly6C-PE-Cy7 (HK1.4, eBioscience), Ly6C-PE Vio770 (1G7.G10, Miltenyi Biotec), CD45.1-FITC (A20, Miltenyi Biotec), CD45.2-PE (104, BD Biosciences), CD169-PE (REA197, Miltenyi Biotec; and 3D6.112, BioLegend), CD11b-Alexa Fluor 700 (M1/70, eBioscience), Tim4-Alexa Fluor 647 (RMT4-54, BioLegend), Gr1/Ly6G-eFluor 450 (RB6-8C5, eBioscience), F4/80-PerCP-Cy5.5 (BM8, eBioscience), MARCO-FITC (ED31, Novus Biologicals), CD45-600 Super Bright (30-F11, eBioscience), CD45-PE-Cy7 (30-F11, BD Biosciences), LYVE1 Alexa Fluor 488 (ALY7, eBioscience), CD45-605 NC (30-F11, eBioscience), CD54(ICAM-1)-PE (eBioKat-1, eBioscience), MHCII (I-A/I-E)-APC-eFluor780 (M5/114.15.2, eBioscience), TGFβ1-APC (TW7-16B4, BioLegend), CD54-FITC (YN1/1.7.4, BioLegend), CD169-PerCP/Cy5.5 (3D6.112, BioLegend), CD169-PE (3D6.112, BioLegend), CD64-Brilliant Violet 605 (X54-5/7.1, BioLegend), CD206-FITC (MR5D3, AbD Serotech), CD45-eVolve 605 (30-F11, eBioscience), CD206-Alexa Fluor 647 (MR5D3, Bio-Rad), IL17A-Alexa Fluor 700 (TC11-18H10.1, BioLegend), CD34-Alexa Fluor 647 (SA376A4, BioLegend), CD117(c-kit)-PE/Cy7 (ACK2, BioLegend), NOS2-TRITC (N-20, Santa Cruz Biotechnology), and CD16/32-PE (93, BioLegend, without pre-Fcγ receptor blocking).

Techniques: Expressing, Quantitation Assay, Transformation Assay, Staining

FACS plots and quantitation of Ly6C low CD169 + Tim4 + macrophages and total Ly6C low cells in blood ( A ) and in heart ( B ) 1 d post-MI in wild-type (WT) and splenectomized (Spx) WT mice, and CD169 DTR mice given diphtheria toxin (CD169 DTR /DT) at the time of MI; n=5-7/group, statistics: one-way ANOVA, Bonferroni post-test. Isotype antibody is shown in gray. C . FACS plots and group data for blood CD45 + CD11b + Ly6G + neutrophils and ICAM-1/CD54 + neutrophils 1 d post MI in WT, Spx, and CD169 DTR /DT mice; n=6-8/group; statistics: one-way ANOVA, Bonferroni post-test. D . Left, Representative confocal images of immunofluorescent Ly6G staining in WT, Spx, and CD169 DTR /DT hearts 1 d post-MI demonstrating Ly6G + neutrophil (red) infiltration (arrows); nuclear staining with DAPI (blue). Scale bar 20 μm. Right , FACS plots and corresponding quantitation of cardiac CD45 + CD11b + Ly6G + neutrophils (red) and annexin V + apoptotic neutrophils (blue) in the same groups 1 d post-MI; n=3-4/group, statistics: one-way ANOVA, Dunnett’sT3 post-test. E . FACS density plots for Lin − c-kit + CD34 + CD16/32 + granulocyte monocyte precursors (GMPs) in bone marrow from WT, Spx, and CD169 DTR /DT mice 1 d post MI, together with quantitation. Flow gates were based on isotype antibody control. n=5-7/group; statistics: one-way ANOVA, Tukey’s post-test. F . Left , Representative FACS dot plots identifying cardiac neutrophils as CD11b + Ly6G + cells in WT mice and as Ly6G + tdTomato + cells in Catchup mice at baseline and 1 d post-MI. Right Top , Representative histograms of Ly6G and tdTomato fluorescence intensity in heart mononuclear cells from the same groups. Right Bottom , FACS dot plots gated on cardiac CD169 + Tim4 + macrophages illustrating tdTomato expression in Catchup mice 1 d post-MI. Auto, autofluorescence. G . Representative FACS histograms of intracellular IL4 and IL10 staining in cardiac Ly6C low cells 1 d post MI in WT, Spx and CD169 DTR /DT mice, together with cell quantitation of the Ly6C low subsets. N=6-7/group; statistics: one-way ANOVA, Bonferroni post-test. H . Representative FACS pseudocolor plots for intracellular TGFβ and IL10 staining in cardiac CD169 + macrophages 1 d post MI in WT and Spx mice, with accompanying quantitation; n=4-5/group, statistics: unpaired t test.

Journal: medRxiv

Article Title: Splenic CD169 + Tim4 + Marginal Metallophilic Macrophages Are Essential for Wound Healing After Myocardial Infarction

doi: 10.1101/2024.08.09.24311769

Figure Lengend Snippet: FACS plots and quantitation of Ly6C low CD169 + Tim4 + macrophages and total Ly6C low cells in blood ( A ) and in heart ( B ) 1 d post-MI in wild-type (WT) and splenectomized (Spx) WT mice, and CD169 DTR mice given diphtheria toxin (CD169 DTR /DT) at the time of MI; n=5-7/group, statistics: one-way ANOVA, Bonferroni post-test. Isotype antibody is shown in gray. C . FACS plots and group data for blood CD45 + CD11b + Ly6G + neutrophils and ICAM-1/CD54 + neutrophils 1 d post MI in WT, Spx, and CD169 DTR /DT mice; n=6-8/group; statistics: one-way ANOVA, Bonferroni post-test. D . Left, Representative confocal images of immunofluorescent Ly6G staining in WT, Spx, and CD169 DTR /DT hearts 1 d post-MI demonstrating Ly6G + neutrophil (red) infiltration (arrows); nuclear staining with DAPI (blue). Scale bar 20 μm. Right , FACS plots and corresponding quantitation of cardiac CD45 + CD11b + Ly6G + neutrophils (red) and annexin V + apoptotic neutrophils (blue) in the same groups 1 d post-MI; n=3-4/group, statistics: one-way ANOVA, Dunnett’sT3 post-test. E . FACS density plots for Lin − c-kit + CD34 + CD16/32 + granulocyte monocyte precursors (GMPs) in bone marrow from WT, Spx, and CD169 DTR /DT mice 1 d post MI, together with quantitation. Flow gates were based on isotype antibody control. n=5-7/group; statistics: one-way ANOVA, Tukey’s post-test. F . Left , Representative FACS dot plots identifying cardiac neutrophils as CD11b + Ly6G + cells in WT mice and as Ly6G + tdTomato + cells in Catchup mice at baseline and 1 d post-MI. Right Top , Representative histograms of Ly6G and tdTomato fluorescence intensity in heart mononuclear cells from the same groups. Right Bottom , FACS dot plots gated on cardiac CD169 + Tim4 + macrophages illustrating tdTomato expression in Catchup mice 1 d post-MI. Auto, autofluorescence. G . Representative FACS histograms of intracellular IL4 and IL10 staining in cardiac Ly6C low cells 1 d post MI in WT, Spx and CD169 DTR /DT mice, together with cell quantitation of the Ly6C low subsets. N=6-7/group; statistics: one-way ANOVA, Bonferroni post-test. H . Representative FACS pseudocolor plots for intracellular TGFβ and IL10 staining in cardiac CD169 + macrophages 1 d post MI in WT and Spx mice, with accompanying quantitation; n=4-5/group, statistics: unpaired t test.

Article Snippet: Cell suspensions were incubated with anti-mouse CD16/32 (clone 93, BioLegend) for 10 min at 4°C to block Fcγ receptors, and then stained for 60 minutes in staining buffer with anti-mouse fluorochrome-conjugated antibodies in panel appropriate combinations for specific experiments as follows: Ly6C-PE-Cy7 (HK1.4, eBioscience), Ly6C-PE Vio770 (1G7.G10, Miltenyi Biotec), CD45.1-FITC (A20, Miltenyi Biotec), CD45.2-PE (104, BD Biosciences), CD169-PE (REA197, Miltenyi Biotec; and 3D6.112, BioLegend), CD11b-Alexa Fluor 700 (M1/70, eBioscience), Tim4-Alexa Fluor 647 (RMT4-54, BioLegend), Gr1/Ly6G-eFluor 450 (RB6-8C5, eBioscience), F4/80-PerCP-Cy5.5 (BM8, eBioscience), MARCO-FITC (ED31, Novus Biologicals), CD45-600 Super Bright (30-F11, eBioscience), CD45-PE-Cy7 (30-F11, BD Biosciences), LYVE1 Alexa Fluor 488 (ALY7, eBioscience), CD45-605 NC (30-F11, eBioscience), CD54(ICAM-1)-PE (eBioKat-1, eBioscience), MHCII (I-A/I-E)-APC-eFluor780 (M5/114.15.2, eBioscience), TGFβ1-APC (TW7-16B4, BioLegend), CD54-FITC (YN1/1.7.4, BioLegend), CD169-PerCP/Cy5.5 (3D6.112, BioLegend), CD169-PE (3D6.112, BioLegend), CD64-Brilliant Violet 605 (X54-5/7.1, BioLegend), CD206-FITC (MR5D3, AbD Serotech), CD45-eVolve 605 (30-F11, eBioscience), CD206-Alexa Fluor 647 (MR5D3, Bio-Rad), IL17A-Alexa Fluor 700 (TC11-18H10.1, BioLegend), CD34-Alexa Fluor 647 (SA376A4, BioLegend), CD117(c-kit)-PE/Cy7 (ACK2, BioLegend), NOS2-TRITC (N-20, Santa Cruz Biotechnology), and CD16/32-PE (93, BioLegend, without pre-Fcγ receptor blocking).

Techniques: Quantitation Assay, Staining, Control, Fluorescence, Expressing

A . Kaplan-Meier survival curves over 10 d following MI or sham operation in WT, Spx, and CD169 DTR /DT mice, and after MI in CD45.2 Spx mice with adoptive transfer of naïve splenic CD169 + Tim4 + cells from syngeneic CD45.1 WT mice 24 h post-MI (Spx-MI+AT). Statistical comparisons: log-rank test. B . Gross images of post-MI cardiac rupture with hemothorax or hemopericardium, and Kaplan-Meier curves for freedom from rupture over 10 d post-MI in WT, Spx, CD169 DTR /DT, and Spx-MI+AT mice. Statistical comparisons: log-rank test. C . Left , Representative post-mortem whole hearts and end-diastolic long-axis 2-dimensional echocardiograms from WT-MI, Spx-MI, CD169 DTR /DT-MI and Spx-MI+AT mice (10 d post-MI). Right , Quantitation of LV ejection fraction (EF) and end-diastolic and end-systolic volume (EDV and ESV) at 10 d post-MI; n=4-6/group, statistics: one-way ANOVA, Bonferroni post-test. D . Left , Representative confocal images of immunofluorescent staining for CD206 (green) and iNOS (red) in the heart infarct border zone (BZ) from WT-MI, Spx-MI, CD169 DTR /DT-MI, and Spx-MI+AT mice 10 d post-MI. DAPI (blue) nuclear staining. iNOS + CD206 + cells appear yellow. Higher magnification is shown in the middle panel. Right , quantitation of iNOS + CD206 + and iNOS − CD206 + cells/mm 2 in the hearts. N=3/group, statistics: one-way ANOVA, Bonferroni post-test. NS, not significant. E . Top Left , Confocal images of MMP-9 immunostaining (red) in infarct BZ of hearts from WT-MI, Spx-MI, CD169 DTR /DT-MI, and Spx-MI+AT mice 10 d post-MI. Nuclear staining with DAPI (blue). Top Right , Quantitative group data for total MMP-9 mean fluorescence intensity per region of interest (ROI). AU, arbitrary units. N=4/group, statistics: one-way ANOVA, Bonferroni post-test. Bottom , Representative Masson’s trichrome stains of infarcted hearts (10 d post-MI) from the same groups demonstrating MI border zone (BZ) fibrosis, together with BZ fibrosis quantitation. n=4/group; statistics: one-way ANOVA, Bonferroni post-test. F . FACS quantitation of Ly6C hi blood monocytes and serum IL-10 levels in WT-MI, Spx-MI, CD169 DTR /DT-MI, and Spx-MI+AT mice at 10 d post-MI. N=4-7/group, statistics: one-way ANOVA, Bonferroni post-test.

Journal: medRxiv

Article Title: Splenic CD169 + Tim4 + Marginal Metallophilic Macrophages Are Essential for Wound Healing After Myocardial Infarction

doi: 10.1101/2024.08.09.24311769

Figure Lengend Snippet: A . Kaplan-Meier survival curves over 10 d following MI or sham operation in WT, Spx, and CD169 DTR /DT mice, and after MI in CD45.2 Spx mice with adoptive transfer of naïve splenic CD169 + Tim4 + cells from syngeneic CD45.1 WT mice 24 h post-MI (Spx-MI+AT). Statistical comparisons: log-rank test. B . Gross images of post-MI cardiac rupture with hemothorax or hemopericardium, and Kaplan-Meier curves for freedom from rupture over 10 d post-MI in WT, Spx, CD169 DTR /DT, and Spx-MI+AT mice. Statistical comparisons: log-rank test. C . Left , Representative post-mortem whole hearts and end-diastolic long-axis 2-dimensional echocardiograms from WT-MI, Spx-MI, CD169 DTR /DT-MI and Spx-MI+AT mice (10 d post-MI). Right , Quantitation of LV ejection fraction (EF) and end-diastolic and end-systolic volume (EDV and ESV) at 10 d post-MI; n=4-6/group, statistics: one-way ANOVA, Bonferroni post-test. D . Left , Representative confocal images of immunofluorescent staining for CD206 (green) and iNOS (red) in the heart infarct border zone (BZ) from WT-MI, Spx-MI, CD169 DTR /DT-MI, and Spx-MI+AT mice 10 d post-MI. DAPI (blue) nuclear staining. iNOS + CD206 + cells appear yellow. Higher magnification is shown in the middle panel. Right , quantitation of iNOS + CD206 + and iNOS − CD206 + cells/mm 2 in the hearts. N=3/group, statistics: one-way ANOVA, Bonferroni post-test. NS, not significant. E . Top Left , Confocal images of MMP-9 immunostaining (red) in infarct BZ of hearts from WT-MI, Spx-MI, CD169 DTR /DT-MI, and Spx-MI+AT mice 10 d post-MI. Nuclear staining with DAPI (blue). Top Right , Quantitative group data for total MMP-9 mean fluorescence intensity per region of interest (ROI). AU, arbitrary units. N=4/group, statistics: one-way ANOVA, Bonferroni post-test. Bottom , Representative Masson’s trichrome stains of infarcted hearts (10 d post-MI) from the same groups demonstrating MI border zone (BZ) fibrosis, together with BZ fibrosis quantitation. n=4/group; statistics: one-way ANOVA, Bonferroni post-test. F . FACS quantitation of Ly6C hi blood monocytes and serum IL-10 levels in WT-MI, Spx-MI, CD169 DTR /DT-MI, and Spx-MI+AT mice at 10 d post-MI. N=4-7/group, statistics: one-way ANOVA, Bonferroni post-test.

Article Snippet: Cell suspensions were incubated with anti-mouse CD16/32 (clone 93, BioLegend) for 10 min at 4°C to block Fcγ receptors, and then stained for 60 minutes in staining buffer with anti-mouse fluorochrome-conjugated antibodies in panel appropriate combinations for specific experiments as follows: Ly6C-PE-Cy7 (HK1.4, eBioscience), Ly6C-PE Vio770 (1G7.G10, Miltenyi Biotec), CD45.1-FITC (A20, Miltenyi Biotec), CD45.2-PE (104, BD Biosciences), CD169-PE (REA197, Miltenyi Biotec; and 3D6.112, BioLegend), CD11b-Alexa Fluor 700 (M1/70, eBioscience), Tim4-Alexa Fluor 647 (RMT4-54, BioLegend), Gr1/Ly6G-eFluor 450 (RB6-8C5, eBioscience), F4/80-PerCP-Cy5.5 (BM8, eBioscience), MARCO-FITC (ED31, Novus Biologicals), CD45-600 Super Bright (30-F11, eBioscience), CD45-PE-Cy7 (30-F11, BD Biosciences), LYVE1 Alexa Fluor 488 (ALY7, eBioscience), CD45-605 NC (30-F11, eBioscience), CD54(ICAM-1)-PE (eBioKat-1, eBioscience), MHCII (I-A/I-E)-APC-eFluor780 (M5/114.15.2, eBioscience), TGFβ1-APC (TW7-16B4, BioLegend), CD54-FITC (YN1/1.7.4, BioLegend), CD169-PerCP/Cy5.5 (3D6.112, BioLegend), CD169-PE (3D6.112, BioLegend), CD64-Brilliant Violet 605 (X54-5/7.1, BioLegend), CD206-FITC (MR5D3, AbD Serotech), CD45-eVolve 605 (30-F11, eBioscience), CD206-Alexa Fluor 647 (MR5D3, Bio-Rad), IL17A-Alexa Fluor 700 (TC11-18H10.1, BioLegend), CD34-Alexa Fluor 647 (SA376A4, BioLegend), CD117(c-kit)-PE/Cy7 (ACK2, BioLegend), NOS2-TRITC (N-20, Santa Cruz Biotechnology), and CD16/32-PE (93, BioLegend, without pre-Fcγ receptor blocking).

Techniques: Adoptive Transfer Assay, Quantitation Assay, Staining, Immunostaining, Fluorescence

A . Protocol for LXRα agonist T0901317 treatment (40 mg/kg i.p.) from 1 d prior to 5 d post-MI, with 10 d post-MI follow-up, in WT and Spx mice. B . FACS contour plots and quantitation of cardiac CD169 + Tim4 + macrophages 1 d post-MI and blood CD169 + Tim4 + macrophages 10 d post-MI in untreated and T0901317-treated WT and Spx mice. N=5-6/group, statistics: one-way ANOVA, Bonferroni post-test. C . Kaplan-Meier survival curves post-MI in untreated and T0901317-treated WT and Spx mice. Statistical comparisons by log-rank test, group sizes as indicated. D . Representative end-diastolic long-axis 2-dimensional echocardiograms and group data for LV ejection fraction (EF) and end-diastolic and end-systolic volume (EDV and ESV) in the same mouse groups at 10 d post-MI; n=5-10/group, statistics: one-way ANOVA, Bonferroni post-test. E . Top , Kaplan-Meier survival curves over 8 w post-MI in WT mice treated with either vehicle or T0901317 from 1 d before MI to 5 d post-MI (statistical comparison by log-rank test, n=12-17/group as indicated) and group data for LVEF, LVEDV, LVESV, and normalized heart and lung weight at 8 w post-MI; n=8-9/group for echocardiography, n=4-7/group for gravimetry. Statistical comparisons: unpaired t test. HF, heart failure; TL, tibia length; NS, not significant. Bottom Left , Representative Masson’s trichrome staining of LV short-axis sections (2x magnification) and infarct border zone (BZ, scale bar 500 μm), along with quantitation of cardiac fibrosis (BZ and remote zone [RZ], blue staining) in vehicle- and T0901317-treated WT HF mice. Also shown are confocal images of immunofluorescent staining for CD206 (green) and iNOS (red) in the RZ of hearts from vehicle-and T0901317-treated HF mice (8 w post-MI) and quantitation of iNOS + CD206 + and iNOS − CD206 + macrophages (Mφ) per mm 2 . Double positive (CD206 + iNOS + ) cells appear yellow (arrows). DAPI (blue) was used for nuclear staining. N=4-8/group, statistics: unpaired t test. Bottom Right , Representative FACS contour plots to identify Ly6C hi monocytes in vehicle- and T0901317-treated WT HF mice (8 w post-MI), and corresponding quantitation. N=5-10/group, statistics: unpaired t test.

Journal: medRxiv

Article Title: Splenic CD169 + Tim4 + Marginal Metallophilic Macrophages Are Essential for Wound Healing After Myocardial Infarction

doi: 10.1101/2024.08.09.24311769

Figure Lengend Snippet: A . Protocol for LXRα agonist T0901317 treatment (40 mg/kg i.p.) from 1 d prior to 5 d post-MI, with 10 d post-MI follow-up, in WT and Spx mice. B . FACS contour plots and quantitation of cardiac CD169 + Tim4 + macrophages 1 d post-MI and blood CD169 + Tim4 + macrophages 10 d post-MI in untreated and T0901317-treated WT and Spx mice. N=5-6/group, statistics: one-way ANOVA, Bonferroni post-test. C . Kaplan-Meier survival curves post-MI in untreated and T0901317-treated WT and Spx mice. Statistical comparisons by log-rank test, group sizes as indicated. D . Representative end-diastolic long-axis 2-dimensional echocardiograms and group data for LV ejection fraction (EF) and end-diastolic and end-systolic volume (EDV and ESV) in the same mouse groups at 10 d post-MI; n=5-10/group, statistics: one-way ANOVA, Bonferroni post-test. E . Top , Kaplan-Meier survival curves over 8 w post-MI in WT mice treated with either vehicle or T0901317 from 1 d before MI to 5 d post-MI (statistical comparison by log-rank test, n=12-17/group as indicated) and group data for LVEF, LVEDV, LVESV, and normalized heart and lung weight at 8 w post-MI; n=8-9/group for echocardiography, n=4-7/group for gravimetry. Statistical comparisons: unpaired t test. HF, heart failure; TL, tibia length; NS, not significant. Bottom Left , Representative Masson’s trichrome staining of LV short-axis sections (2x magnification) and infarct border zone (BZ, scale bar 500 μm), along with quantitation of cardiac fibrosis (BZ and remote zone [RZ], blue staining) in vehicle- and T0901317-treated WT HF mice. Also shown are confocal images of immunofluorescent staining for CD206 (green) and iNOS (red) in the RZ of hearts from vehicle-and T0901317-treated HF mice (8 w post-MI) and quantitation of iNOS + CD206 + and iNOS − CD206 + macrophages (Mφ) per mm 2 . Double positive (CD206 + iNOS + ) cells appear yellow (arrows). DAPI (blue) was used for nuclear staining. N=4-8/group, statistics: unpaired t test. Bottom Right , Representative FACS contour plots to identify Ly6C hi monocytes in vehicle- and T0901317-treated WT HF mice (8 w post-MI), and corresponding quantitation. N=5-10/group, statistics: unpaired t test.

Article Snippet: Cell suspensions were incubated with anti-mouse CD16/32 (clone 93, BioLegend) for 10 min at 4°C to block Fcγ receptors, and then stained for 60 minutes in staining buffer with anti-mouse fluorochrome-conjugated antibodies in panel appropriate combinations for specific experiments as follows: Ly6C-PE-Cy7 (HK1.4, eBioscience), Ly6C-PE Vio770 (1G7.G10, Miltenyi Biotec), CD45.1-FITC (A20, Miltenyi Biotec), CD45.2-PE (104, BD Biosciences), CD169-PE (REA197, Miltenyi Biotec; and 3D6.112, BioLegend), CD11b-Alexa Fluor 700 (M1/70, eBioscience), Tim4-Alexa Fluor 647 (RMT4-54, BioLegend), Gr1/Ly6G-eFluor 450 (RB6-8C5, eBioscience), F4/80-PerCP-Cy5.5 (BM8, eBioscience), MARCO-FITC (ED31, Novus Biologicals), CD45-600 Super Bright (30-F11, eBioscience), CD45-PE-Cy7 (30-F11, BD Biosciences), LYVE1 Alexa Fluor 488 (ALY7, eBioscience), CD45-605 NC (30-F11, eBioscience), CD54(ICAM-1)-PE (eBioKat-1, eBioscience), MHCII (I-A/I-E)-APC-eFluor780 (M5/114.15.2, eBioscience), TGFβ1-APC (TW7-16B4, BioLegend), CD54-FITC (YN1/1.7.4, BioLegend), CD169-PerCP/Cy5.5 (3D6.112, BioLegend), CD169-PE (3D6.112, BioLegend), CD64-Brilliant Violet 605 (X54-5/7.1, BioLegend), CD206-FITC (MR5D3, AbD Serotech), CD45-eVolve 605 (30-F11, eBioscience), CD206-Alexa Fluor 647 (MR5D3, Bio-Rad), IL17A-Alexa Fluor 700 (TC11-18H10.1, BioLegend), CD34-Alexa Fluor 647 (SA376A4, BioLegend), CD117(c-kit)-PE/Cy7 (ACK2, BioLegend), NOS2-TRITC (N-20, Santa Cruz Biotechnology), and CD16/32-PE (93, BioLegend, without pre-Fcγ receptor blocking).

Techniques: Quantitation Assay, Comparison, Staining

A . FACS plots and characterization of human CD45 + CD14 + HLA- DR + CD64 + CD169 + Tim4 + circulating macrophages from a subject with acute STEMI. The accompanying overlaid contour plot illustrates CD14 + HLA-DR + (red) and CD64 + CD169 + Tim4 + (green) subsets superimposed on all CD45 + leukocytes in an SSC-A versus FSC-A gate. B . Top , FACS gating strategy for sorting CD45 + CD14 + HLA-DR + CD169 + cells from human peripheral blood for further characterization using ImageStream analysis. Bottom , ImageStream visualization of FACS-sorted CD45 + CD169 + blood cells from STEMI patients and control subjects undergoing elective percutaneous coronary intervention (PCI), and group data for size distribution of CD169 + cells; scale bar 10 μm. C . FACS contour plots and quantitation of circulating CD45 + CD14 + HLA-DR + CD64 + CD169 + Tim4 + macrophages in STEMI and control PCI subjects. n=11-14/group, statistics: unpaired t test.

Journal: medRxiv

Article Title: Splenic CD169 + Tim4 + Marginal Metallophilic Macrophages Are Essential for Wound Healing After Myocardial Infarction

doi: 10.1101/2024.08.09.24311769

Figure Lengend Snippet: A . FACS plots and characterization of human CD45 + CD14 + HLA- DR + CD64 + CD169 + Tim4 + circulating macrophages from a subject with acute STEMI. The accompanying overlaid contour plot illustrates CD14 + HLA-DR + (red) and CD64 + CD169 + Tim4 + (green) subsets superimposed on all CD45 + leukocytes in an SSC-A versus FSC-A gate. B . Top , FACS gating strategy for sorting CD45 + CD14 + HLA-DR + CD169 + cells from human peripheral blood for further characterization using ImageStream analysis. Bottom , ImageStream visualization of FACS-sorted CD45 + CD169 + blood cells from STEMI patients and control subjects undergoing elective percutaneous coronary intervention (PCI), and group data for size distribution of CD169 + cells; scale bar 10 μm. C . FACS contour plots and quantitation of circulating CD45 + CD14 + HLA-DR + CD64 + CD169 + Tim4 + macrophages in STEMI and control PCI subjects. n=11-14/group, statistics: unpaired t test.

Article Snippet: Cell suspensions were incubated with anti-mouse CD16/32 (clone 93, BioLegend) for 10 min at 4°C to block Fcγ receptors, and then stained for 60 minutes in staining buffer with anti-mouse fluorochrome-conjugated antibodies in panel appropriate combinations for specific experiments as follows: Ly6C-PE-Cy7 (HK1.4, eBioscience), Ly6C-PE Vio770 (1G7.G10, Miltenyi Biotec), CD45.1-FITC (A20, Miltenyi Biotec), CD45.2-PE (104, BD Biosciences), CD169-PE (REA197, Miltenyi Biotec; and 3D6.112, BioLegend), CD11b-Alexa Fluor 700 (M1/70, eBioscience), Tim4-Alexa Fluor 647 (RMT4-54, BioLegend), Gr1/Ly6G-eFluor 450 (RB6-8C5, eBioscience), F4/80-PerCP-Cy5.5 (BM8, eBioscience), MARCO-FITC (ED31, Novus Biologicals), CD45-600 Super Bright (30-F11, eBioscience), CD45-PE-Cy7 (30-F11, BD Biosciences), LYVE1 Alexa Fluor 488 (ALY7, eBioscience), CD45-605 NC (30-F11, eBioscience), CD54(ICAM-1)-PE (eBioKat-1, eBioscience), MHCII (I-A/I-E)-APC-eFluor780 (M5/114.15.2, eBioscience), TGFβ1-APC (TW7-16B4, BioLegend), CD54-FITC (YN1/1.7.4, BioLegend), CD169-PerCP/Cy5.5 (3D6.112, BioLegend), CD169-PE (3D6.112, BioLegend), CD64-Brilliant Violet 605 (X54-5/7.1, BioLegend), CD206-FITC (MR5D3, AbD Serotech), CD45-eVolve 605 (30-F11, eBioscience), CD206-Alexa Fluor 647 (MR5D3, Bio-Rad), IL17A-Alexa Fluor 700 (TC11-18H10.1, BioLegend), CD34-Alexa Fluor 647 (SA376A4, BioLegend), CD117(c-kit)-PE/Cy7 (ACK2, BioLegend), NOS2-TRITC (N-20, Santa Cruz Biotechnology), and CD16/32-PE (93, BioLegend, without pre-Fcγ receptor blocking).

Techniques: Control, Quantitation Assay

Fig. 5. Effect of PFOS on endometrial receptivity. (A) Molecular docking of PFOS with HOXA10 and ITGB3. (B) The mRNA expression levels of HOXA10, ITGB3 were detected by using RT-qPCR. (C-D) Expression and quantification of HOXA10, ITGB3 and FOXO1 proteins in cells. Mitochondrial damage (red arrow) in endometrial stromal cells. Immunofluorescence staining reveals expression of HOXA10 (E), ITGB3 (F) and FOXO1(G) in endometrial stromal cells. (H) Immunofluorescence statistical analysis. (I) Transmission electron microscopy showed the normal mitochondrial morphology (green arrow), Scale bar = 200 μm. Results are presented as the means ± SEM. *P < 0.05, **P < 0.01, ***P < 0.001.

Journal: Scientific reports

Article Title: Developmental exposure to perfluorooctane sulfonate(PFOS) impairs the endometrial receptivity.

doi: 10.1038/s41598-024-84732-2

Figure Lengend Snippet: Fig. 5. Effect of PFOS on endometrial receptivity. (A) Molecular docking of PFOS with HOXA10 and ITGB3. (B) The mRNA expression levels of HOXA10, ITGB3 were detected by using RT-qPCR. (C-D) Expression and quantification of HOXA10, ITGB3 and FOXO1 proteins in cells. Mitochondrial damage (red arrow) in endometrial stromal cells. Immunofluorescence staining reveals expression of HOXA10 (E), ITGB3 (F) and FOXO1(G) in endometrial stromal cells. (H) Immunofluorescence statistical analysis. (I) Transmission electron microscopy showed the normal mitochondrial morphology (green arrow), Scale bar = 200 μm. Results are presented as the means ± SEM. *P < 0.05, **P < 0.01, ***P < 0.001.

Article Snippet: The membrane was incubated with primary antibodies including GAPDH, Bax, Bcl2, HOXA10, ITGB3, FOXO1, cytokeratin 18, and vimentin from Proteintech (China).

Techniques: Expressing, Quantitative RT-PCR, Immunofluorescence, Staining, Transmission Assay, Electron Microscopy

( A – C ) mRNA levels of NLRP3, Caspase-1, GSDMD in NHEK cells, n = 3. ( D – I ) Protein levels of NF-κB, P65, NLRP3, caspase-1, GSDMD in NHEK cells, n = 3.*P < 0.05, **P < 0.01, ***P < 0.001 compared with Control; # P < 0.05, ## P < 0.01, ### P < 0.001 compared with Model; & P < 0.05, && P < 0.01, &&& P < 0.001 compared with QS; ^P < 0.05, ^^P < 0.01 compared with Mcc950.

Journal: Clinical, Cosmetic and Investigational Dermatology

Article Title: A Topical Chinese Herbal Alleviates Psoriasis by Regulating Keratinocytes Pyroptosis Through Inhibition of NLRP3 Inflammasome Activation

doi: 10.2147/CCID.S559712

Figure Lengend Snippet: ( A – C ) mRNA levels of NLRP3, Caspase-1, GSDMD in NHEK cells, n = 3. ( D – I ) Protein levels of NF-κB, P65, NLRP3, caspase-1, GSDMD in NHEK cells, n = 3.*P < 0.05, **P < 0.01, ***P < 0.001 compared with Control; # P < 0.05, ## P < 0.01, ### P < 0.001 compared with Model; & P < 0.05, && P < 0.01, &&& P < 0.001 compared with QS; ^P < 0.05, ^^P < 0.01 compared with Mcc950.

Article Snippet: The sections were then incubated overnight at 4°C with the following primary antibodies: NF-κB p65 Monoclonal antibody (66535-1-Ig, Proteintech, China), NLRP3 Monoclonal antibody (68102-1-Ig-100, Proteintech, China), Caspase-1 antibody (sc-56036, Santa Cruz, USA), and GSDMD Polyclonal antibody (20770-1-AP, Proteintech, China).

Techniques: Control

CELF1 promotes breast cancer cell aerobic glycolysis in vitro . (A) Enriched Gene Ontology (GO) terms of significantly differentially expressed genes between CELF1-knocked-out MCF7 cells and wild-type MCF7 cells. (B) GSEA shows the enriched hallmarks pathways between CELF1-knocked-out MCF7 cells and wild-type MCF7 cells. (C) GSEA shows the molecules that are significantly altered in the glycolytic pathway. (D) The volcano plot of differentially expressed genes between CELF1-knocked-out MCF7 cells and wild-type MCF7 cells. (E) Differential mRNA expressions of GLUT1, HK2, and G6PD in CELF1-knocked-out MCF7 cells and wild-type MCF7 cells.

Journal: Frontiers in Genetics

Article Title: CELF1 promotes aerobic glycolysis and an aggressive phenotype in ER-positive breast cancer via GLUT1 regulation

doi: 10.3389/fgene.2025.1687066

Figure Lengend Snippet: CELF1 promotes breast cancer cell aerobic glycolysis in vitro . (A) Enriched Gene Ontology (GO) terms of significantly differentially expressed genes between CELF1-knocked-out MCF7 cells and wild-type MCF7 cells. (B) GSEA shows the enriched hallmarks pathways between CELF1-knocked-out MCF7 cells and wild-type MCF7 cells. (C) GSEA shows the molecules that are significantly altered in the glycolytic pathway. (D) The volcano plot of differentially expressed genes between CELF1-knocked-out MCF7 cells and wild-type MCF7 cells. (E) Differential mRNA expressions of GLUT1, HK2, and G6PD in CELF1-knocked-out MCF7 cells and wild-type MCF7 cells.

Article Snippet: These membranes were probed with monoclonal antibodies targeting CELF1, GLUT1, cyclin D1, cyclin B1, c-Myc, HK, G6PD, and GAPDH (Proteintech, Wuhan, China), as well as Bcl-2 and BAX (Abbkine, United States).

Techniques: In Vitro

CELF1 governs aerobic glycolysis by regulating GLUT1 levels. (A) Relative RNA expressions of GLUT1 HK and G6PD in CELF1-KO MCF7 cells (upper) and CELF1-overexpressed SKBR3 cells (lower) measured using real-time PCR. Data are expressed as means ± SEM. * P < 0.05.** P < 0.01. *** P < 0.001. (B) Immunofluorescence of GLUT1 in CELF1-KO MCF7 cells and CELF1-overexpressed SKBR3 cells. Scale bar: 50 μm. (C,D) Protein levels of CELF1, HK, c-Myc, G6PD, and GLUT1 in MCF7 cells after the transfection of control and CELF1 shRNA were determined using Western blotting. Cell lysates were collected with or without pretreated 20% fetal bovine serum (FBS) for 4 h. GAPDH served as an internal control. (E,F) . Protein levels of CELF1, HK, c-Myc, G6PD, and GLUT1 in SKBR3 cells after the transfection of the pcDNA3.1 and pcDNA3.1–CELF1 vectors were determined using Western blotting. Cell lysates were collected with or without pretreated 20% FBS for 4 h. GAPDH served as an internal control.

Journal: Frontiers in Genetics

Article Title: CELF1 promotes aerobic glycolysis and an aggressive phenotype in ER-positive breast cancer via GLUT1 regulation

doi: 10.3389/fgene.2025.1687066

Figure Lengend Snippet: CELF1 governs aerobic glycolysis by regulating GLUT1 levels. (A) Relative RNA expressions of GLUT1 HK and G6PD in CELF1-KO MCF7 cells (upper) and CELF1-overexpressed SKBR3 cells (lower) measured using real-time PCR. Data are expressed as means ± SEM. * P < 0.05.** P < 0.01. *** P < 0.001. (B) Immunofluorescence of GLUT1 in CELF1-KO MCF7 cells and CELF1-overexpressed SKBR3 cells. Scale bar: 50 μm. (C,D) Protein levels of CELF1, HK, c-Myc, G6PD, and GLUT1 in MCF7 cells after the transfection of control and CELF1 shRNA were determined using Western blotting. Cell lysates were collected with or without pretreated 20% fetal bovine serum (FBS) for 4 h. GAPDH served as an internal control. (E,F) . Protein levels of CELF1, HK, c-Myc, G6PD, and GLUT1 in SKBR3 cells after the transfection of the pcDNA3.1 and pcDNA3.1–CELF1 vectors were determined using Western blotting. Cell lysates were collected with or without pretreated 20% FBS for 4 h. GAPDH served as an internal control.

Article Snippet: These membranes were probed with monoclonal antibodies targeting CELF1, GLUT1, cyclin D1, cyclin B1, c-Myc, HK, G6PD, and GAPDH (Proteintech, Wuhan, China), as well as Bcl-2 and BAX (Abbkine, United States).

Techniques: Real-time Polymerase Chain Reaction, Immunofluorescence, Transfection, Control, shRNA, Western Blot

Mechanism diagram illustrating the involvement of CELF1 in aerobic glycolysis in breast cancer. It is well known that many aggressive tumors develop dysregulated metabolism; the glycolytic pathway was closely correlated to the vitality of tumors. Our transcriptomic analysis results suggest that CELF1 alterations impact the glycolysis process, and GLUT1 is the main molecule among all the volatile metabolites. Therefore, we focused on the genes related to aerobic glycolysis. As shown in , the expression of GLUT1 is substantially decreased in the CELF1-knocked-out group, and so is the expression of key enzymes HK and G6PD in the aerobic glycolysis process . In addition, knockout of CELF1 affects the expression of cyclin D1 and c-Myc , suggesting that the occurrence, invasion, and metastasis processed are changed accordingly in the tumor tissues.

Journal: Frontiers in Genetics

Article Title: CELF1 promotes aerobic glycolysis and an aggressive phenotype in ER-positive breast cancer via GLUT1 regulation

doi: 10.3389/fgene.2025.1687066

Figure Lengend Snippet: Mechanism diagram illustrating the involvement of CELF1 in aerobic glycolysis in breast cancer. It is well known that many aggressive tumors develop dysregulated metabolism; the glycolytic pathway was closely correlated to the vitality of tumors. Our transcriptomic analysis results suggest that CELF1 alterations impact the glycolysis process, and GLUT1 is the main molecule among all the volatile metabolites. Therefore, we focused on the genes related to aerobic glycolysis. As shown in , the expression of GLUT1 is substantially decreased in the CELF1-knocked-out group, and so is the expression of key enzymes HK and G6PD in the aerobic glycolysis process . In addition, knockout of CELF1 affects the expression of cyclin D1 and c-Myc , suggesting that the occurrence, invasion, and metastasis processed are changed accordingly in the tumor tissues.

Article Snippet: These membranes were probed with monoclonal antibodies targeting CELF1, GLUT1, cyclin D1, cyclin B1, c-Myc, HK, G6PD, and GAPDH (Proteintech, Wuhan, China), as well as Bcl-2 and BAX (Abbkine, United States).

Techniques: Expressing, Knock-Out

FIGURE 3 CNF1 modulates the expression of HIF1α and the secretion of VEGF by activating RhoC in bladder cancer cells. A, T24 cells were transfected with a scrambled control siRNA or those targeting respective Rho GTPase siRNAs for 24 hours, followed by stimulation with PBS or CNF1 (3 nmol/L) for another 24 hours under hypoxic conditions, and HIF1α expression was examined by western blotting. B, T24 cells were incubated with PBS or CNF1 for 3 to 36 hours and mobility-shifting was examined by electrophoresis. C, Western blotting analysis of activated RhoC in T24 cells treated with recombinant CNF1 protein (3 nmol/L) or PBS for 24 hours after immunoprecipitation with GTP pull-down assays using anti-RhoC antibody. D, Western blotting analysis of T24 cells transfected with vector, wild-type RhoC, or constitutively active RhoC (Q63E) under hypoxic conditions. E, T24 cells were transfected with vector, wild-type RhoC, or Q63E for 48 hours, and VEGF secretion in the culture medium was examined by ELISA (n = 3, three independent experiments). F, T24 cells were transfected with scrambled or RhoC siRNA for 24 hours followed by stimulation with CNF1 protein (3 nmol/L) or PBS for 24 hours, and VEGF secretion in culture medium was examined by ELISA (n = 3, three independent experiments). Data are the mean ± SD. *P < .05, **P < .01; one-way ANOVA (E, F)

Journal: The FASEB Journal

Article Title: Cytotoxic necrotizing factor 1 promotes bladder cancer angiogenesis through activating RhoC

doi: 10.1096/fj.201903266rr

Figure Lengend Snippet: FIGURE 3 CNF1 modulates the expression of HIF1α and the secretion of VEGF by activating RhoC in bladder cancer cells. A, T24 cells were transfected with a scrambled control siRNA or those targeting respective Rho GTPase siRNAs for 24 hours, followed by stimulation with PBS or CNF1 (3 nmol/L) for another 24 hours under hypoxic conditions, and HIF1α expression was examined by western blotting. B, T24 cells were incubated with PBS or CNF1 for 3 to 36 hours and mobility-shifting was examined by electrophoresis. C, Western blotting analysis of activated RhoC in T24 cells treated with recombinant CNF1 protein (3 nmol/L) or PBS for 24 hours after immunoprecipitation with GTP pull-down assays using anti-RhoC antibody. D, Western blotting analysis of T24 cells transfected with vector, wild-type RhoC, or constitutively active RhoC (Q63E) under hypoxic conditions. E, T24 cells were transfected with vector, wild-type RhoC, or Q63E for 48 hours, and VEGF secretion in the culture medium was examined by ELISA (n = 3, three independent experiments). F, T24 cells were transfected with scrambled or RhoC siRNA for 24 hours followed by stimulation with CNF1 protein (3 nmol/L) or PBS for 24 hours, and VEGF secretion in culture medium was examined by ELISA (n = 3, three independent experiments). Data are the mean ± SD. *P < .05, **P < .01; one-way ANOVA (E, F)

Article Snippet: Sections (5 μm) were used for H&E and Immunohistochemistry (IHC) staining for RhoC (1:400, 10632-1-AP; Proteintech), HSP90α (1:300, 13171-1-AP; Proteintech), HIF1α (1:500, ab51608; Abcam), VEGF (1:300, 19003-1-AP; Proteintech).

Techniques: Expressing, Transfection, Control, Western Blot, Incubation, Electrophoresis, Recombinant, Immunoprecipitation, Plasmid Preparation, Enzyme-linked Immunosorbent Assay

FIGURE 4 CNF1-induced RhoC activation modulates the HIF1α stabilization by upregulating HSF1- HSP90α interaction. A, Heatmap of the HIF1α degradation-related gene expression levels detected by RNA-seq in T24 cells stably expressing the RhoC constitutively active mutant Q63E or vector under hypoxic condition. B, qRT-PCR confirmation of the upregulated genes expression profile under hypoxic condition (n = 3, three independent experiments). C, Western blotting analysis of T24 cells transduced with vector and Q63E under hypoxic condition. D, Western blotting analysis of T24 cells treated with 1 nmol/L CNF1. E, T24 cells were transfected with combinations of MYC-HIF1α, HA-HSP90α, and FLAG-RhoC-Q63E under normoxic or hypoxic condition. Protein extracts from the transfected cells were subjected to IP with antibody against MYC and analyzed by immunoblotting with the indicated antibodies. F, Analysis of phosphorylated HSF1, total HSF1, HSP90α, and HIF1α in transduced T24 cells treated with the HSF1 inhibitor KRIBB11 (10 μmol/L), or with DMSO as the control under hypoxic condition. G and H, Western blotting analysis of transduced T24 cells (G) and 1 nmol/L CNF1 treated T24 cells (H) subject to siRNAs targeting HSF1 and scrambled non-targeting control siRNA under hypoxic conditions. I, T24 cells were transfected with scrambled or HSF1 siRNA for 24 hours followed by stimulation with CNF1 (3 nmol/L) or PBS for 24 hours under hypoxic condition, and VEGF secretion in culture medium was examined by ELISA (n = 3, three independent experiments). Data are the mean ± SD. **P < .01; one-way ANOVA (B, I)

Journal: The FASEB Journal

Article Title: Cytotoxic necrotizing factor 1 promotes bladder cancer angiogenesis through activating RhoC

doi: 10.1096/fj.201903266rr

Figure Lengend Snippet: FIGURE 4 CNF1-induced RhoC activation modulates the HIF1α stabilization by upregulating HSF1- HSP90α interaction. A, Heatmap of the HIF1α degradation-related gene expression levels detected by RNA-seq in T24 cells stably expressing the RhoC constitutively active mutant Q63E or vector under hypoxic condition. B, qRT-PCR confirmation of the upregulated genes expression profile under hypoxic condition (n = 3, three independent experiments). C, Western blotting analysis of T24 cells transduced with vector and Q63E under hypoxic condition. D, Western blotting analysis of T24 cells treated with 1 nmol/L CNF1. E, T24 cells were transfected with combinations of MYC-HIF1α, HA-HSP90α, and FLAG-RhoC-Q63E under normoxic or hypoxic condition. Protein extracts from the transfected cells were subjected to IP with antibody against MYC and analyzed by immunoblotting with the indicated antibodies. F, Analysis of phosphorylated HSF1, total HSF1, HSP90α, and HIF1α in transduced T24 cells treated with the HSF1 inhibitor KRIBB11 (10 μmol/L), or with DMSO as the control under hypoxic condition. G and H, Western blotting analysis of transduced T24 cells (G) and 1 nmol/L CNF1 treated T24 cells (H) subject to siRNAs targeting HSF1 and scrambled non-targeting control siRNA under hypoxic conditions. I, T24 cells were transfected with scrambled or HSF1 siRNA for 24 hours followed by stimulation with CNF1 (3 nmol/L) or PBS for 24 hours under hypoxic condition, and VEGF secretion in culture medium was examined by ELISA (n = 3, three independent experiments). Data are the mean ± SD. **P < .01; one-way ANOVA (B, I)

Article Snippet: Sections (5 μm) were used for H&E and Immunohistochemistry (IHC) staining for RhoC (1:400, 10632-1-AP; Proteintech), HSP90α (1:300, 13171-1-AP; Proteintech), HIF1α (1:500, ab51608; Abcam), VEGF (1:300, 19003-1-AP; Proteintech).

Techniques: Activation Assay, Gene Expression, RNA Sequencing, Stable Transfection, Expressing, Mutagenesis, Plasmid Preparation, Quantitative RT-PCR, Western Blot, Transduction, Transfection, Control, Enzyme-linked Immunosorbent Assay

FIGURE 5 Active RhoC promotes the tumor-associated angiogenesis of bladder cancer in vivo. A, Morphological images of tumor xenografts resected from nude mice injected with T24 cells transduced with vector (VEC) or constitutively active mutant of RhoC (Q63E) after 5 weeks in each group. B, Tumor growth in nude mice with Q63E or VEC T24 cells subcutaneously injected into their flanks (n = 9, two independent experiments). Tumor volumes were determined by direct measurement using a caliper and calculated using the formula: (widest diameter × smallest diameter2)/2. Tumor volume (C) and weight (D) of xenograft nude mice injected with Q63E or VEC T24 cells in the xenograft model (n = 9, two independent experiments). E-H, Immunohistochemical analysis of RhoC, HSP90α, HIF1α, or VEGF expression in murine tumors. I, Immunofluorescence analysis of CD31+ blood vessels in murine tumors (n = 3, three independent experiments each with multiple fields). Data are the mean ± SD. *P < .05, **P < .01; non-parametric Mann-Whitney test (B, C, D and I). Scale bar = 50 μm (E-H) or 100 μm (I)

Journal: The FASEB Journal

Article Title: Cytotoxic necrotizing factor 1 promotes bladder cancer angiogenesis through activating RhoC

doi: 10.1096/fj.201903266rr

Figure Lengend Snippet: FIGURE 5 Active RhoC promotes the tumor-associated angiogenesis of bladder cancer in vivo. A, Morphological images of tumor xenografts resected from nude mice injected with T24 cells transduced with vector (VEC) or constitutively active mutant of RhoC (Q63E) after 5 weeks in each group. B, Tumor growth in nude mice with Q63E or VEC T24 cells subcutaneously injected into their flanks (n = 9, two independent experiments). Tumor volumes were determined by direct measurement using a caliper and calculated using the formula: (widest diameter × smallest diameter2)/2. Tumor volume (C) and weight (D) of xenograft nude mice injected with Q63E or VEC T24 cells in the xenograft model (n = 9, two independent experiments). E-H, Immunohistochemical analysis of RhoC, HSP90α, HIF1α, or VEGF expression in murine tumors. I, Immunofluorescence analysis of CD31+ blood vessels in murine tumors (n = 3, three independent experiments each with multiple fields). Data are the mean ± SD. *P < .05, **P < .01; non-parametric Mann-Whitney test (B, C, D and I). Scale bar = 50 μm (E-H) or 100 μm (I)

Article Snippet: Sections (5 μm) were used for H&E and Immunohistochemistry (IHC) staining for RhoC (1:400, 10632-1-AP; Proteintech), HSP90α (1:300, 13171-1-AP; Proteintech), HIF1α (1:500, ab51608; Abcam), VEGF (1:300, 19003-1-AP; Proteintech).

Techniques: In Vivo, Injection, Transduction, Plasmid Preparation, Mutagenesis, Immunohistochemical staining, Expressing, Immunofluorescence, MANN-WHITNEY

Genes regulated by Taxotere ® and docetaxel-loaded solid lipid nanoparticles were confirmed by quantitative polymerase chain reaction and immunoblotting. Notes: Cell cycle-related genes of E2F8 ( A ) and OIP5 ( B ), proliferation-related genes of NASP ( C ) and SOD2 ( D ), and apoptosis-related genes of PDCD4 ( E ) and PIK3R2 ( F ) were chosen for detection by quantitative polymerase chain reaction and immunoblotting. In quantitative polymerase chain reaction detection, mock-treated cells were set as the control and samples were normalized with the control. In immunoblotting detection, β-actin was used as the loading control. Abbreviations: BSN, blank solid lipid nanoparticle; DSN, docetaxel-loaded solid lipid nanoparticle; GLU, glucose; qPCR, quantitative polymerase chain reaction; TAX, Taxotere.

Journal: International Journal of Nanomedicine

Article Title: Docetaxel-loaded solid lipid nanoparticles suppress breast cancer cells growth with reduced myelosuppression toxicity

doi: 10.2147/IJN.S70919

Figure Lengend Snippet: Genes regulated by Taxotere ® and docetaxel-loaded solid lipid nanoparticles were confirmed by quantitative polymerase chain reaction and immunoblotting. Notes: Cell cycle-related genes of E2F8 ( A ) and OIP5 ( B ), proliferation-related genes of NASP ( C ) and SOD2 ( D ), and apoptosis-related genes of PDCD4 ( E ) and PIK3R2 ( F ) were chosen for detection by quantitative polymerase chain reaction and immunoblotting. In quantitative polymerase chain reaction detection, mock-treated cells were set as the control and samples were normalized with the control. In immunoblotting detection, β-actin was used as the loading control. Abbreviations: BSN, blank solid lipid nanoparticle; DSN, docetaxel-loaded solid lipid nanoparticle; GLU, glucose; qPCR, quantitative polymerase chain reaction; TAX, Taxotere.

Article Snippet: Primary antibodies of rabbit anti-β-actin, E2f8, MRE11A, ERBB3, IGFBP6, ATF3, CCNG2, SOD2, IGFBP3, CADM1, PDCD4, GADD45A, and MKI67 were purchased from Beijing Biosynthesis Technology Co., Ltd., (Beijing, People’s Republic of China), rabbit anti-MCM6, OIP5, and NASP were purchased from Proteintech Group, Inc., (Chicago, IL, USA), rabbit anti-FAM172A and MYB were purchased from Abgent, Inc. (San Diego, CA, USA) and rabbit anti-ATRX was purchased from GeneTex, Inc. (Irvine, CA, USA).

Techniques: Real-time Polymerase Chain Reaction, Western Blot, Control

Primers used for quantitative polymerase chain reaction

Journal: International Journal of Nanomedicine

Article Title: Docetaxel-loaded solid lipid nanoparticles suppress breast cancer cells growth with reduced myelosuppression toxicity

doi: 10.2147/IJN.S70919

Figure Lengend Snippet: Primers used for quantitative polymerase chain reaction

Article Snippet: Primary antibodies of rabbit anti-β-actin, E2f8, MRE11A, ERBB3, IGFBP6, ATF3, CCNG2, SOD2, IGFBP3, CADM1, PDCD4, GADD45A, and MKI67 were purchased from Beijing Biosynthesis Technology Co., Ltd., (Beijing, People’s Republic of China), rabbit anti-MCM6, OIP5, and NASP were purchased from Proteintech Group, Inc., (Chicago, IL, USA), rabbit anti-FAM172A and MYB were purchased from Abgent, Inc. (San Diego, CA, USA) and rabbit anti-ATRX was purchased from GeneTex, Inc. (Irvine, CA, USA).

Techniques: Sequencing