anti mouse cd47 Search Results


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Miltenyi Biotec antibody pe conjugated recombinant ab to cd47 rea170 miltenyi biotec
Figure 4. Activation of microglia in the brain white matter of <t>CD47</t> KO mice. (A) Immunofluorescence staining of coronal brain sections prepared from control (WT) or CD47 KO mice at 19 wks of age with antibodies to Iba1 (red) and CD11c (green). Merged images are shown. The boxed areas in the upper panels are shown at higher magnification in the lower panels. fi, fimbria. Scale bars: 100 mm (upper panels), 50 mm (lower panels). (B) Figure 4 continued on next page
Antibody Pe Conjugated Recombinant Ab To Cd47 Rea170 Miltenyi Biotec, supplied by Miltenyi Biotec, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Bio X Cell anti cd47
Figure 4. Activation of microglia in the brain white matter of <t>CD47</t> KO mice. (A) Immunofluorescence staining of coronal brain sections prepared from control (WT) or CD47 KO mice at 19 wks of age with antibodies to Iba1 (red) and CD11c (green). Merged images are shown. The boxed areas in the upper panels are shown at higher magnification in the lower panels. fi, fimbria. Scale bars: 100 mm (upper panels), 50 mm (lower panels). (B) Figure 4 continued on next page
Anti Cd47, supplied by Bio X Cell, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Bio X Cell cd47 antibody
( a ) Outline of our “-omics” approach in human fibrotic lung integrating proteomics, secretomics, and genomics technology platforms to study the contribution of leukocytes and pathologic fibroblasts and to identify new therapeutic targets. ( b ) Single-cell, force-directed layout of fibrotic lung tissues. Shaded regions indicate the location of manually gated cell populations: green-shaded area represents leukocytes (CD45+), pink area represents epithelial cells (CK7+), blue area represents endothelial cells (CD31+) and grey dotted circle highlights the fibroblasts (CD45-CK7-CD31-). ( c ) Frequencies of cell populations in the lung detected by mass cytometry (CyTOF). Data are displayed as mean ± SD of 11 fibrotic and 3 normal control lung samples. ( d ) Principal component analysis (PCA) computed on mass cytometry data sets from fibroblast clusters from 11 individual pulmonary fibrosis patients (PF) and 3 normal donors (NC) demonstrating that fibrotic and normal fibroblasts were distinct from each other. ( e ) ViSNE maps of fibroblast mass cytometry data demonstrating that the abundance of fibroblasts differed; in normal controls the lung fibroblasts appeared heterogeneous while the fibroblasts clustered tightly together in fibrotic lungs (Blue: highlighted by the black dotted circle). The data demonstrate a representative example per group and each point in the viSNE map represents an individual cell. ( f ) ViSNE analysis of mass cytometry data of fibrotic lung (blue dots), normal lung (orange dots) and normal peripheral blood mononuclear cells (PBMCs, green dots) revealed increased activation of the JUN and AKT pathways in fibrotic lung fibroblasts. Schematic diagram of the location of the indicated cell types on the viSNE map are based on the expression of lineage-specific markers: epithelial cells (Epi), natural killer cells (NK), plasmacytoid dendritic cells (pDC), endothelial cells (EC), and macrophages (Mac). Red indicates high and blue low protein expression. ( g ) Representative mass cytometry plots of the pro-fibrotic fibroblast population in fibrotic lung compared with normal lung. ( h ) Immune fluorescent stains confirmed increased <t>CD47</t> and PD-L1 co-expression in lung fibroblasts from fibrotic lungs compared to normal controls (activated fibroblasts expressing FSP1+ Collagen1+ and SMA+). The arrow indicates the blood vessel. (Scale bars, 100 μm). ( i ) RNA expression analysis of JUN , PD-L1 and CD47 in fibrotic and normal lung fibroblasts as detected by QPCR. Data are expressed as mean ± SD of 5 fibrotic fibroblasts and 3 normal fibroblasts and are representative of at least three experiments. Data were analyzed by twotailed unpaired t -test, * P < 0.05. See Supplementary Table 4 for statistical details.
Cd47 Antibody, supplied by Bio X Cell, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Bio X Cell webcite
( a ) Outline of our “-omics” approach in human fibrotic lung integrating proteomics, secretomics, and genomics technology platforms to study the contribution of leukocytes and pathologic fibroblasts and to identify new therapeutic targets. ( b ) Single-cell, force-directed layout of fibrotic lung tissues. Shaded regions indicate the location of manually gated cell populations: green-shaded area represents leukocytes (CD45+), pink area represents epithelial cells (CK7+), blue area represents endothelial cells (CD31+) and grey dotted circle highlights the fibroblasts (CD45-CK7-CD31-). ( c ) Frequencies of cell populations in the lung detected by mass cytometry (CyTOF). Data are displayed as mean ± SD of 11 fibrotic and 3 normal control lung samples. ( d ) Principal component analysis (PCA) computed on mass cytometry data sets from fibroblast clusters from 11 individual pulmonary fibrosis patients (PF) and 3 normal donors (NC) demonstrating that fibrotic and normal fibroblasts were distinct from each other. ( e ) ViSNE maps of fibroblast mass cytometry data demonstrating that the abundance of fibroblasts differed; in normal controls the lung fibroblasts appeared heterogeneous while the fibroblasts clustered tightly together in fibrotic lungs (Blue: highlighted by the black dotted circle). The data demonstrate a representative example per group and each point in the viSNE map represents an individual cell. ( f ) ViSNE analysis of mass cytometry data of fibrotic lung (blue dots), normal lung (orange dots) and normal peripheral blood mononuclear cells (PBMCs, green dots) revealed increased activation of the JUN and AKT pathways in fibrotic lung fibroblasts. Schematic diagram of the location of the indicated cell types on the viSNE map are based on the expression of lineage-specific markers: epithelial cells (Epi), natural killer cells (NK), plasmacytoid dendritic cells (pDC), endothelial cells (EC), and macrophages (Mac). Red indicates high and blue low protein expression. ( g ) Representative mass cytometry plots of the pro-fibrotic fibroblast population in fibrotic lung compared with normal lung. ( h ) Immune fluorescent stains confirmed increased <t>CD47</t> and PD-L1 co-expression in lung fibroblasts from fibrotic lungs compared to normal controls (activated fibroblasts expressing FSP1+ Collagen1+ and SMA+). The arrow indicates the blood vessel. (Scale bars, 100 μm). ( i ) RNA expression analysis of JUN , PD-L1 and CD47 in fibrotic and normal lung fibroblasts as detected by QPCR. Data are expressed as mean ± SD of 5 fibrotic fibroblasts and 3 normal fibroblasts and are representative of at least three experiments. Data were analyzed by twotailed unpaired t -test, * P < 0.05. See Supplementary Table 4 for statistical details.
Webcite, supplied by Bio X Cell, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Bio-Rad mouse monoclonal anti iap cd47
( a ) Outline of our “-omics” approach in human fibrotic lung integrating proteomics, secretomics, and genomics technology platforms to study the contribution of leukocytes and pathologic fibroblasts and to identify new therapeutic targets. ( b ) Single-cell, force-directed layout of fibrotic lung tissues. Shaded regions indicate the location of manually gated cell populations: green-shaded area represents leukocytes (CD45+), pink area represents epithelial cells (CK7+), blue area represents endothelial cells (CD31+) and grey dotted circle highlights the fibroblasts (CD45-CK7-CD31-). ( c ) Frequencies of cell populations in the lung detected by mass cytometry (CyTOF). Data are displayed as mean ± SD of 11 fibrotic and 3 normal control lung samples. ( d ) Principal component analysis (PCA) computed on mass cytometry data sets from fibroblast clusters from 11 individual pulmonary fibrosis patients (PF) and 3 normal donors (NC) demonstrating that fibrotic and normal fibroblasts were distinct from each other. ( e ) ViSNE maps of fibroblast mass cytometry data demonstrating that the abundance of fibroblasts differed; in normal controls the lung fibroblasts appeared heterogeneous while the fibroblasts clustered tightly together in fibrotic lungs (Blue: highlighted by the black dotted circle). The data demonstrate a representative example per group and each point in the viSNE map represents an individual cell. ( f ) ViSNE analysis of mass cytometry data of fibrotic lung (blue dots), normal lung (orange dots) and normal peripheral blood mononuclear cells (PBMCs, green dots) revealed increased activation of the JUN and AKT pathways in fibrotic lung fibroblasts. Schematic diagram of the location of the indicated cell types on the viSNE map are based on the expression of lineage-specific markers: epithelial cells (Epi), natural killer cells (NK), plasmacytoid dendritic cells (pDC), endothelial cells (EC), and macrophages (Mac). Red indicates high and blue low protein expression. ( g ) Representative mass cytometry plots of the pro-fibrotic fibroblast population in fibrotic lung compared with normal lung. ( h ) Immune fluorescent stains confirmed increased <t>CD47</t> and PD-L1 co-expression in lung fibroblasts from fibrotic lungs compared to normal controls (activated fibroblasts expressing FSP1+ Collagen1+ and SMA+). The arrow indicates the blood vessel. (Scale bars, 100 μm). ( i ) RNA expression analysis of JUN , PD-L1 and CD47 in fibrotic and normal lung fibroblasts as detected by QPCR. Data are expressed as mean ± SD of 5 fibrotic fibroblasts and 3 normal fibroblasts and are representative of at least three experiments. Data were analyzed by twotailed unpaired t -test, * P < 0.05. See Supplementary Table 4 for statistical details.
Mouse Monoclonal Anti Iap Cd47, supplied by Bio-Rad, 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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mouse monoclonal anti iap cd47 - by Bioz Stars, 2026-07
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Bio-Rad cd47 alexa 647 mca2514a647 igg2b mca691a647 antibodies
( a ) Outline of our “-omics” approach in human fibrotic lung integrating proteomics, secretomics, and genomics technology platforms to study the contribution of leukocytes and pathologic fibroblasts and to identify new therapeutic targets. ( b ) Single-cell, force-directed layout of fibrotic lung tissues. Shaded regions indicate the location of manually gated cell populations: green-shaded area represents leukocytes (CD45+), pink area represents epithelial cells (CK7+), blue area represents endothelial cells (CD31+) and grey dotted circle highlights the fibroblasts (CD45-CK7-CD31-). ( c ) Frequencies of cell populations in the lung detected by mass cytometry (CyTOF). Data are displayed as mean ± SD of 11 fibrotic and 3 normal control lung samples. ( d ) Principal component analysis (PCA) computed on mass cytometry data sets from fibroblast clusters from 11 individual pulmonary fibrosis patients (PF) and 3 normal donors (NC) demonstrating that fibrotic and normal fibroblasts were distinct from each other. ( e ) ViSNE maps of fibroblast mass cytometry data demonstrating that the abundance of fibroblasts differed; in normal controls the lung fibroblasts appeared heterogeneous while the fibroblasts clustered tightly together in fibrotic lungs (Blue: highlighted by the black dotted circle). The data demonstrate a representative example per group and each point in the viSNE map represents an individual cell. ( f ) ViSNE analysis of mass cytometry data of fibrotic lung (blue dots), normal lung (orange dots) and normal peripheral blood mononuclear cells (PBMCs, green dots) revealed increased activation of the JUN and AKT pathways in fibrotic lung fibroblasts. Schematic diagram of the location of the indicated cell types on the viSNE map are based on the expression of lineage-specific markers: epithelial cells (Epi), natural killer cells (NK), plasmacytoid dendritic cells (pDC), endothelial cells (EC), and macrophages (Mac). Red indicates high and blue low protein expression. ( g ) Representative mass cytometry plots of the pro-fibrotic fibroblast population in fibrotic lung compared with normal lung. ( h ) Immune fluorescent stains confirmed increased <t>CD47</t> and PD-L1 co-expression in lung fibroblasts from fibrotic lungs compared to normal controls (activated fibroblasts expressing FSP1+ Collagen1+ and SMA+). The arrow indicates the blood vessel. (Scale bars, 100 μm). ( i ) RNA expression analysis of JUN , PD-L1 and CD47 in fibrotic and normal lung fibroblasts as detected by QPCR. Data are expressed as mean ± SD of 5 fibrotic fibroblasts and 3 normal fibroblasts and are representative of at least three experiments. Data were analyzed by twotailed unpaired t -test, * P < 0.05. See Supplementary Table 4 for statistical details.
Cd47 Alexa 647 Mca2514a647 Igg2b Mca691a647 Antibodies, supplied by Bio-Rad, 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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Elabscience Biotechnology anti human mouse rat cd47 antibody
Preparation and characterization of <t>anti‐CD47‐PCM@NP.</t> A) Hydrodynamic size and zeta potential of CM vesicles, PLGA cores (NP), PCM@NP, and anti‐CD47‐PCM@NP. Data are means ± SD ( n = 3). B) Colocalization of NP/C6 (green) with DiD‐PCM (red), and the colocalization of FITC‐antibody (green) with DiD‐PCM@NP (red), both assessed by confocal laser scanning microscope (CLSM) (scale bar = 5 µm). C) Transmission electron micrographs of (a) NP, (b) CM vesicle, (c) PCM@NP, (d) Anti‐CD47‐PCM@NP, and (e) multiple anti‐CD47‐PCM@NP. All scale bars = 100 nm. D) SDS‐PAGE protein analysis of NP, PCM@NP, CM vesicles, and cancer cell lysate. Samples were tested at equal protein concentrations. CD47 protein and membrane‐specific protein on the cancer cell membrane were efficiently retained on the extracted membrane vesicles and the PCM@NP, detected by western blot. E) Determination of the antibody labeled by PE loaded on the surface of anti‐CD47‐PCM@NP by flow nanoanalyzer. F) The binding affinity of the antibody to the CM vesicles by surface plasmon resonance (SPR).
Anti Human Mouse Rat Cd47 Antibody, supplied by Elabscience Biotechnology, 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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Elabscience Biotechnology anti fitc-labeled cd47
Preparation and characterization of <t>anti‐CD47‐PCM@NP.</t> A) Hydrodynamic size and zeta potential of CM vesicles, PLGA cores (NP), PCM@NP, and anti‐CD47‐PCM@NP. Data are means ± SD ( n = 3). B) Colocalization of NP/C6 (green) with DiD‐PCM (red), and the colocalization of FITC‐antibody (green) with DiD‐PCM@NP (red), both assessed by confocal laser scanning microscope (CLSM) (scale bar = 5 µm). C) Transmission electron micrographs of (a) NP, (b) CM vesicle, (c) PCM@NP, (d) Anti‐CD47‐PCM@NP, and (e) multiple anti‐CD47‐PCM@NP. All scale bars = 100 nm. D) SDS‐PAGE protein analysis of NP, PCM@NP, CM vesicles, and cancer cell lysate. Samples were tested at equal protein concentrations. CD47 protein and membrane‐specific protein on the cancer cell membrane were efficiently retained on the extracted membrane vesicles and the PCM@NP, detected by western blot. E) Determination of the antibody labeled by PE loaded on the surface of anti‐CD47‐PCM@NP by flow nanoanalyzer. F) The binding affinity of the antibody to the CM vesicles by surface plasmon resonance (SPR).
Anti Fitc Labeled Cd47, supplied by Elabscience Biotechnology, 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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Cymbus Biotechnology mouse monoclonal antibody against human cd47
Preparation and characterization of <t>anti‐CD47‐PCM@NP.</t> A) Hydrodynamic size and zeta potential of CM vesicles, PLGA cores (NP), PCM@NP, and anti‐CD47‐PCM@NP. Data are means ± SD ( n = 3). B) Colocalization of NP/C6 (green) with DiD‐PCM (red), and the colocalization of FITC‐antibody (green) with DiD‐PCM@NP (red), both assessed by confocal laser scanning microscope (CLSM) (scale bar = 5 µm). C) Transmission electron micrographs of (a) NP, (b) CM vesicle, (c) PCM@NP, (d) Anti‐CD47‐PCM@NP, and (e) multiple anti‐CD47‐PCM@NP. All scale bars = 100 nm. D) SDS‐PAGE protein analysis of NP, PCM@NP, CM vesicles, and cancer cell lysate. Samples were tested at equal protein concentrations. CD47 protein and membrane‐specific protein on the cancer cell membrane were efficiently retained on the extracted membrane vesicles and the PCM@NP, detected by western blot. E) Determination of the antibody labeled by PE loaded on the surface of anti‐CD47‐PCM@NP by flow nanoanalyzer. F) The binding affinity of the antibody to the CM vesicles by surface plasmon resonance (SPR).
Mouse Monoclonal Antibody Against Human Cd47, supplied by Cymbus Biotechnology, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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GenScript corporation cd47 easyedit sgrna
Tumor cells inhibit DCs through <t>SIRPα-CD47</t> (A) Protein kinase/phosphatase-related GSEA pathways significantly enriched in B16-F10-cocultured DCs (co-DCs) compared with untreated DCs (iDCs). (B) qPCR analysis comparing iDCs and co-DCs cocultured with B16-F10 cells for 48 h. These genes participate in the ITIM/ITAM downstream pathway; n = 3. (C) Representative western blot pictures (left) and quantitative statistics (right) of the phosphorylation of SIRPα-related downstream kinases; n = 3. (D) Heatmap of top 10 changes in ITIM-containing receptors between the co-DC and the iDC group. (E) The immune checkpoint expression changes between co-DCs and the untreated iDC group; n = 6 in SIRPα, PD-1, and CTLA-4; n = 5 in TIM-3; n = 3 in PIR-B and CD33. (F) SIRPα-KO mouse- or wild-type (WT) mouse-derived DCs were cocultured with B16-F10 cells, and the maturation of CD11c + DCs was determined by flow cytometry; n = 3. (G and H) WT mouse-derived DCs were cocultured with B16-F10-WT or B16-F10-CD47 KO cells at a 3:1 ratio for 48 h. The proportion of cells with high expression levels of CD80, CD86, and CD83 (G) and secretion levels of TNF-α (H) was determined to assess the DC activation/maturation phenotype; n = 3 in per group. (I–L) C57BL/6J mice were implanted subcutaneously in the right flank with B16-F10 cells on day 0 and administered one dose of vehicle, oncolysate-stimulated DC vaccine, or oncolysate-stimulated SIRPα-KO DC vaccine by intratumoral injection on day 6 (tumor volumes were approximately 50 mm 3 ). (I) The levels of TNF-α and IL-12 in the tumor interstitial fluid. On the fifth day after treatment, fresh tumor tissues were collected, weighed, and incubated at 37°C for 2 h in 1 mL of PBS per gram of tumor tissue to obtain the tumor interstitial fluid for ELISA; n = 5. (K) Tumor growth curves and (L) Kaplan-Meier survival curves are shown; n = 6. (M–O) C57BL/6J mice were implanted subcutaneously in the right flank with B16-F10-WT or B16-F10-CD47 KO cells on day 0 and administered one dose of vehicle or B16-F10 oncolysate-stimulated DC vaccine by intratumoral injection on day 6. (N) Tumor growth curves (n = 6) and (O) Kaplan-Meier survival curves (n = 7) are shown. The p values were determined by unpaired Student’s t test (B, C, E), one-way ANOVA (F–I), one-way ANOVA at the final time point (K, N), or log rank test (L, O). n.s., not significant; ∗p < 0.05; ∗∗p < 0.01; ∗∗∗p < 0.001.
Cd47 Easyedit Sgrna, supplied by GenScript corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Abnova mca911 (mouse anti-human cd47 (clone bric 126, abnova)
Tumor cells inhibit DCs through <t>SIRPα-CD47</t> (A) Protein kinase/phosphatase-related GSEA pathways significantly enriched in B16-F10-cocultured DCs (co-DCs) compared with untreated DCs (iDCs). (B) qPCR analysis comparing iDCs and co-DCs cocultured with B16-F10 cells for 48 h. These genes participate in the ITIM/ITAM downstream pathway; n = 3. (C) Representative western blot pictures (left) and quantitative statistics (right) of the phosphorylation of SIRPα-related downstream kinases; n = 3. (D) Heatmap of top 10 changes in ITIM-containing receptors between the co-DC and the iDC group. (E) The immune checkpoint expression changes between co-DCs and the untreated iDC group; n = 6 in SIRPα, PD-1, and CTLA-4; n = 5 in TIM-3; n = 3 in PIR-B and CD33. (F) SIRPα-KO mouse- or wild-type (WT) mouse-derived DCs were cocultured with B16-F10 cells, and the maturation of CD11c + DCs was determined by flow cytometry; n = 3. (G and H) WT mouse-derived DCs were cocultured with B16-F10-WT or B16-F10-CD47 KO cells at a 3:1 ratio for 48 h. The proportion of cells with high expression levels of CD80, CD86, and CD83 (G) and secretion levels of TNF-α (H) was determined to assess the DC activation/maturation phenotype; n = 3 in per group. (I–L) C57BL/6J mice were implanted subcutaneously in the right flank with B16-F10 cells on day 0 and administered one dose of vehicle, oncolysate-stimulated DC vaccine, or oncolysate-stimulated SIRPα-KO DC vaccine by intratumoral injection on day 6 (tumor volumes were approximately 50 mm 3 ). (I) The levels of TNF-α and IL-12 in the tumor interstitial fluid. On the fifth day after treatment, fresh tumor tissues were collected, weighed, and incubated at 37°C for 2 h in 1 mL of PBS per gram of tumor tissue to obtain the tumor interstitial fluid for ELISA; n = 5. (K) Tumor growth curves and (L) Kaplan-Meier survival curves are shown; n = 6. (M–O) C57BL/6J mice were implanted subcutaneously in the right flank with B16-F10-WT or B16-F10-CD47 KO cells on day 0 and administered one dose of vehicle or B16-F10 oncolysate-stimulated DC vaccine by intratumoral injection on day 6. (N) Tumor growth curves (n = 6) and (O) Kaplan-Meier survival curves (n = 7) are shown. The p values were determined by unpaired Student’s t test (B, C, E), one-way ANOVA (F–I), one-way ANOVA at the final time point (K, N), or log rank test (L, O). n.s., not significant; ∗p < 0.05; ∗∗p < 0.01; ∗∗∗p < 0.001.
Mca911 (Mouse Anti Human Cd47 (Clone Bric 126, Abnova), supplied by Abnova, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Vasculox Inc mouse anti-cd47 monoclonal antibody
Western blot analysis of <t>CD47</t> and TSP-1 expression levels (A,B) during cold ischemia and (C,D) 48 hours after OLT. A significant elevation of CD47 protein with little change in TSP-1 expression after cold ischemia was noted after 18 hours of cold ischemia in comparison with livers that were flushed and then immediately frozen. The expression of both CD47 and TSP-1 protein was reduced 48 hours after OLT in CD47mAb400-treated recipients versus the IgG group (P < 0.05).
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Image Search Results


Figure 4. Activation of microglia in the brain white matter of CD47 KO mice. (A) Immunofluorescence staining of coronal brain sections prepared from control (WT) or CD47 KO mice at 19 wks of age with antibodies to Iba1 (red) and CD11c (green). Merged images are shown. The boxed areas in the upper panels are shown at higher magnification in the lower panels. fi, fimbria. Scale bars: 100 mm (upper panels), 50 mm (lower panels). (B) Figure 4 continued on next page

Journal: eLife

Article Title: Microglial SIRPα regulates the emergence of CD11c+ microglia and demyelination damage in white matter

doi: 10.7554/elife.42025

Figure Lengend Snippet: Figure 4. Activation of microglia in the brain white matter of CD47 KO mice. (A) Immunofluorescence staining of coronal brain sections prepared from control (WT) or CD47 KO mice at 19 wks of age with antibodies to Iba1 (red) and CD11c (green). Merged images are shown. The boxed areas in the upper panels are shown at higher magnification in the lower panels. fi, fimbria. Scale bars: 100 mm (upper panels), 50 mm (lower panels). (B) Figure 4 continued on next page

Article Snippet: DOI: https://doi.org/10.7554/eLife.42025 19 of 29 Continued Reagent type (species) or resource Designation Source or reference Identifiers Additional information Antibody PE conjugated rat mAb to mouse CD172a (SIRPa) (clone P84) eBioscience (Cat# 12-1721-80) RRID:AB_11149864 FCM (1:100) Antibody PE conjugated rat mAbs to CD68 (clone FA-11) BioLegend (Cat# 137013) RRID:AB_10613469 FCM (1:100) Antibody PE conjugated rat mAb to mouse CD14 (clone Sa14-2) BioLegend (Cat# 123309) RRID:AB_940582 FCM (1:100) Antibody PE conjugated recombinant antibody (Ab) to Dectin-1 (REA154) Miltenyi Biotec (Cat# 130-102-987) RRID:AB_2651541 FCM (1:5) Antibody PE conjugated recombinant Ab to CD47 (REA170) Miltenyi Biotec (Cat# 130-103-108) RRID:AB_2659745 FCM (1:10) Antibody Rat mAb to myelin basic protein (MBP) (clone 12) Merck (Cat# MAB386) RRID:AB_94975 IHC (1:500) Antibody Rabbit pAb to Olig2 Immuno-Biological Laboratories (Gunma, Japan) (Cat# 18953) RRID:AB_1630817 IHC (1:400) Antibody Alexa Fluor 488 goat anti-rabbit IgG Molecular Probes (Cat# A11034) RRID:AB_2576217 IHC (1:200) Antibody Cy3-conjugated AffiniPure Goat anti-rabbit IgG Jackson Immuno Research (Cat# 111-165-144) RRID:AB_2338006 IHC (1:400) Antibody Cy3-conjugated AffiniPure Goat anti-rat IgG Jackson Immuno Research (Cat# 112-165-167) RRID:AB_2338251 IHC (1:200) Antibody Cy3-conjugated AffiniPure Goat anti-mouse IgG Jackson Immuno Research (Cat# 115-165-166) RRID:AB_2338692 IHC (1:400) Antibody Streptavidin, Alexa Fluor 488 conjugate Molecular Probes (Cat# S11223) RRID:AB_2336881 IHC (1:400) Commercial assay or kit Black-Gold II myelin staining kit Merck Cat# AG105 Commercial assay or kit Tyramide Signal Amplification (TSA) Biotin System kit Perkin Elmer Cat# NEL700A001KT Commercial assay or kit RNeasy Mini kit Qiagen Cat# 74106 Commercial assay or kit QuantiTect Reverse Transcription kit Qiagen Cat# 205313 Commercial assay or kit QuantiTect SYBR Green PCR kit Qiagen Cat# 204143 or 24163 Commercial assay or kit GeneChip 3’IVT Express Kit Affymetrix Cat# 901228 or 901229 Commercial assay or kit Ovation Pico WTA system V2 NuGEN Cat# 3302–12/ 60/–A01 Commercial assay or kit Encore Biotin Module NuGEN Cat# 4200–12/ 60/–A01 Chemical compound, drug Tamoxifen Toronto Research Chemicals Inc. Cat# T006000 Chemical compound, drug 4’,6-Diamidino-2phenylindole Nacalai Tesque (Kyoto, Japan) Cat# 11034–56 Continued on next page Sato-Hashimoto et al. eLife 2019;8:e42025.

Techniques: Activation Assay, Immunofluorescence, Staining, Control

Figure 5. Microarray transcriptome analyses of the white matter and the brain mononuclear cells of CD47 KO mice. (A,B) The results of Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis with DAVID. Statistically significant (p-value <0.01) KEGG enrichment pathways of up- (A) or downregulated (B) genes in the white matter (optic nerve and optic tract) (upper panels) or in the brain mononuclear cells (lower panels) of CD47 KO mice. Enrichment score is expressed as –Log (p-value). ARVC, Arrhythmogenic right ventricular cardiomyopathy; HCM, Hypertrophic Figure 5 continued on next page

Journal: eLife

Article Title: Microglial SIRPα regulates the emergence of CD11c+ microglia and demyelination damage in white matter

doi: 10.7554/elife.42025

Figure Lengend Snippet: Figure 5. Microarray transcriptome analyses of the white matter and the brain mononuclear cells of CD47 KO mice. (A,B) The results of Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis with DAVID. Statistically significant (p-value <0.01) KEGG enrichment pathways of up- (A) or downregulated (B) genes in the white matter (optic nerve and optic tract) (upper panels) or in the brain mononuclear cells (lower panels) of CD47 KO mice. Enrichment score is expressed as –Log (p-value). ARVC, Arrhythmogenic right ventricular cardiomyopathy; HCM, Hypertrophic Figure 5 continued on next page

Article Snippet: DOI: https://doi.org/10.7554/eLife.42025 19 of 29 Continued Reagent type (species) or resource Designation Source or reference Identifiers Additional information Antibody PE conjugated rat mAb to mouse CD172a (SIRPa) (clone P84) eBioscience (Cat# 12-1721-80) RRID:AB_11149864 FCM (1:100) Antibody PE conjugated rat mAbs to CD68 (clone FA-11) BioLegend (Cat# 137013) RRID:AB_10613469 FCM (1:100) Antibody PE conjugated rat mAb to mouse CD14 (clone Sa14-2) BioLegend (Cat# 123309) RRID:AB_940582 FCM (1:100) Antibody PE conjugated recombinant antibody (Ab) to Dectin-1 (REA154) Miltenyi Biotec (Cat# 130-102-987) RRID:AB_2651541 FCM (1:5) Antibody PE conjugated recombinant Ab to CD47 (REA170) Miltenyi Biotec (Cat# 130-103-108) RRID:AB_2659745 FCM (1:10) Antibody Rat mAb to myelin basic protein (MBP) (clone 12) Merck (Cat# MAB386) RRID:AB_94975 IHC (1:500) Antibody Rabbit pAb to Olig2 Immuno-Biological Laboratories (Gunma, Japan) (Cat# 18953) RRID:AB_1630817 IHC (1:400) Antibody Alexa Fluor 488 goat anti-rabbit IgG Molecular Probes (Cat# A11034) RRID:AB_2576217 IHC (1:200) Antibody Cy3-conjugated AffiniPure Goat anti-rabbit IgG Jackson Immuno Research (Cat# 111-165-144) RRID:AB_2338006 IHC (1:400) Antibody Cy3-conjugated AffiniPure Goat anti-rat IgG Jackson Immuno Research (Cat# 112-165-167) RRID:AB_2338251 IHC (1:200) Antibody Cy3-conjugated AffiniPure Goat anti-mouse IgG Jackson Immuno Research (Cat# 115-165-166) RRID:AB_2338692 IHC (1:400) Antibody Streptavidin, Alexa Fluor 488 conjugate Molecular Probes (Cat# S11223) RRID:AB_2336881 IHC (1:400) Commercial assay or kit Black-Gold II myelin staining kit Merck Cat# AG105 Commercial assay or kit Tyramide Signal Amplification (TSA) Biotin System kit Perkin Elmer Cat# NEL700A001KT Commercial assay or kit RNeasy Mini kit Qiagen Cat# 74106 Commercial assay or kit QuantiTect Reverse Transcription kit Qiagen Cat# 205313 Commercial assay or kit QuantiTect SYBR Green PCR kit Qiagen Cat# 204143 or 24163 Commercial assay or kit GeneChip 3’IVT Express Kit Affymetrix Cat# 901228 or 901229 Commercial assay or kit Ovation Pico WTA system V2 NuGEN Cat# 3302–12/ 60/–A01 Commercial assay or kit Encore Biotin Module NuGEN Cat# 4200–12/ 60/–A01 Chemical compound, drug Tamoxifen Toronto Research Chemicals Inc. Cat# T006000 Chemical compound, drug 4’,6-Diamidino-2phenylindole Nacalai Tesque (Kyoto, Japan) Cat# 11034–56 Continued on next page Sato-Hashimoto et al. eLife 2019;8:e42025.

Techniques: Microarray

( a ) Outline of our “-omics” approach in human fibrotic lung integrating proteomics, secretomics, and genomics technology platforms to study the contribution of leukocytes and pathologic fibroblasts and to identify new therapeutic targets. ( b ) Single-cell, force-directed layout of fibrotic lung tissues. Shaded regions indicate the location of manually gated cell populations: green-shaded area represents leukocytes (CD45+), pink area represents epithelial cells (CK7+), blue area represents endothelial cells (CD31+) and grey dotted circle highlights the fibroblasts (CD45-CK7-CD31-). ( c ) Frequencies of cell populations in the lung detected by mass cytometry (CyTOF). Data are displayed as mean ± SD of 11 fibrotic and 3 normal control lung samples. ( d ) Principal component analysis (PCA) computed on mass cytometry data sets from fibroblast clusters from 11 individual pulmonary fibrosis patients (PF) and 3 normal donors (NC) demonstrating that fibrotic and normal fibroblasts were distinct from each other. ( e ) ViSNE maps of fibroblast mass cytometry data demonstrating that the abundance of fibroblasts differed; in normal controls the lung fibroblasts appeared heterogeneous while the fibroblasts clustered tightly together in fibrotic lungs (Blue: highlighted by the black dotted circle). The data demonstrate a representative example per group and each point in the viSNE map represents an individual cell. ( f ) ViSNE analysis of mass cytometry data of fibrotic lung (blue dots), normal lung (orange dots) and normal peripheral blood mononuclear cells (PBMCs, green dots) revealed increased activation of the JUN and AKT pathways in fibrotic lung fibroblasts. Schematic diagram of the location of the indicated cell types on the viSNE map are based on the expression of lineage-specific markers: epithelial cells (Epi), natural killer cells (NK), plasmacytoid dendritic cells (pDC), endothelial cells (EC), and macrophages (Mac). Red indicates high and blue low protein expression. ( g ) Representative mass cytometry plots of the pro-fibrotic fibroblast population in fibrotic lung compared with normal lung. ( h ) Immune fluorescent stains confirmed increased CD47 and PD-L1 co-expression in lung fibroblasts from fibrotic lungs compared to normal controls (activated fibroblasts expressing FSP1+ Collagen1+ and SMA+). The arrow indicates the blood vessel. (Scale bars, 100 μm). ( i ) RNA expression analysis of JUN , PD-L1 and CD47 in fibrotic and normal lung fibroblasts as detected by QPCR. Data are expressed as mean ± SD of 5 fibrotic fibroblasts and 3 normal fibroblasts and are representative of at least three experiments. Data were analyzed by twotailed unpaired t -test, * P < 0.05. See Supplementary Table 4 for statistical details.

Journal: bioRxiv

Article Title: Activation of JUN in fibroblasts promotes pro-fibrotic programme and modulates protective immunity

doi: 10.1101/2020.03.18.997080

Figure Lengend Snippet: ( a ) Outline of our “-omics” approach in human fibrotic lung integrating proteomics, secretomics, and genomics technology platforms to study the contribution of leukocytes and pathologic fibroblasts and to identify new therapeutic targets. ( b ) Single-cell, force-directed layout of fibrotic lung tissues. Shaded regions indicate the location of manually gated cell populations: green-shaded area represents leukocytes (CD45+), pink area represents epithelial cells (CK7+), blue area represents endothelial cells (CD31+) and grey dotted circle highlights the fibroblasts (CD45-CK7-CD31-). ( c ) Frequencies of cell populations in the lung detected by mass cytometry (CyTOF). Data are displayed as mean ± SD of 11 fibrotic and 3 normal control lung samples. ( d ) Principal component analysis (PCA) computed on mass cytometry data sets from fibroblast clusters from 11 individual pulmonary fibrosis patients (PF) and 3 normal donors (NC) demonstrating that fibrotic and normal fibroblasts were distinct from each other. ( e ) ViSNE maps of fibroblast mass cytometry data demonstrating that the abundance of fibroblasts differed; in normal controls the lung fibroblasts appeared heterogeneous while the fibroblasts clustered tightly together in fibrotic lungs (Blue: highlighted by the black dotted circle). The data demonstrate a representative example per group and each point in the viSNE map represents an individual cell. ( f ) ViSNE analysis of mass cytometry data of fibrotic lung (blue dots), normal lung (orange dots) and normal peripheral blood mononuclear cells (PBMCs, green dots) revealed increased activation of the JUN and AKT pathways in fibrotic lung fibroblasts. Schematic diagram of the location of the indicated cell types on the viSNE map are based on the expression of lineage-specific markers: epithelial cells (Epi), natural killer cells (NK), plasmacytoid dendritic cells (pDC), endothelial cells (EC), and macrophages (Mac). Red indicates high and blue low protein expression. ( g ) Representative mass cytometry plots of the pro-fibrotic fibroblast population in fibrotic lung compared with normal lung. ( h ) Immune fluorescent stains confirmed increased CD47 and PD-L1 co-expression in lung fibroblasts from fibrotic lungs compared to normal controls (activated fibroblasts expressing FSP1+ Collagen1+ and SMA+). The arrow indicates the blood vessel. (Scale bars, 100 μm). ( i ) RNA expression analysis of JUN , PD-L1 and CD47 in fibrotic and normal lung fibroblasts as detected by QPCR. Data are expressed as mean ± SD of 5 fibrotic fibroblasts and 3 normal fibroblasts and are representative of at least three experiments. Data were analyzed by twotailed unpaired t -test, * P < 0.05. See Supplementary Table 4 for statistical details.

Article Snippet: For CD47 antibody blockade experiments, mice were injected intraperitoneally (IP) with a dose of 500 μg CD47 antibody (Clone MIAP410, Bioxcell) diluted in 100 μl of PBS on day 4.

Techniques: Biomarker Discovery, Mass Cytometry, Control, Activation Assay, Expressing, RNA Expression

( a ) ViSNE map of concatenated fibroblasts (CD45-CD31-CK7-population) from fibrotic lung (black dotted circle) and normal lung demonstrating increased expression of PDGFRa, podoplanin, CD47 and PD-L2 but not calreticulin in subsets of fibroblasts in fibrotic lungs. ( b ) Representative CyTOF plots of PD-L2 and calreticulin protein in fibroblasts from fibrotic and normal lungs indicating increased PD-L2 but no difference in calreticulin expression. ( c ) Quantitation of CD47 and PD-L1 immune stains in fibrotic and normal lung biopsies. Data are expressed as mean ± SD and analyzed by two-tailed unpaired t -test, ** P < 0.01; **** P < 0.0001. The immune stains were evaluated by a blinded pathologist, in addition to image J software. ( d ) A representative haematoxylin and eosin staining of fibrotic and normal lung tissue. The inserted black frames highlight the fibrotic and normal areas. Scale bar, 100 μm. ( e ) Multiplexed ion beam imaging (MIBI) and relevant quantitation demonstrated the co-expression of JUN and FOS with CD47 in fibroblasts in fibrotic plaques in lungs of idiopathic pulmonary fibrosis patients. Representative MIBI analysis of lung biopsy sections from 5 patients with idiopathic pulmonary fibrosis were stained with metal-conjugated antibodies. In total, 10 different markers (JUN, JUNB, JUND, FRA1, FRA2, FOS, FOSB, COLLAGEN1, CD47 and Hematoxylin) were analyzed. Eight fields of view were acquired with ten repeat scans over a single area. Experiments were run multiple times, representative examples and related analyses are shown as mean ± SD. Scale bar, 100 μm. ( f ) ELISA detected increased levels of secreted PD-L1 in fibrotic lung BAL compared to normal lungs. Data are expressed as mean ± SD of 5 fibrotic and 3 normal samples. Data were analyzed by two-tailed unpaired t -test, * P < 0.05. See Supplementary Table 4 for statistical details.

Journal: bioRxiv

Article Title: Activation of JUN in fibroblasts promotes pro-fibrotic programme and modulates protective immunity

doi: 10.1101/2020.03.18.997080

Figure Lengend Snippet: ( a ) ViSNE map of concatenated fibroblasts (CD45-CD31-CK7-population) from fibrotic lung (black dotted circle) and normal lung demonstrating increased expression of PDGFRa, podoplanin, CD47 and PD-L2 but not calreticulin in subsets of fibroblasts in fibrotic lungs. ( b ) Representative CyTOF plots of PD-L2 and calreticulin protein in fibroblasts from fibrotic and normal lungs indicating increased PD-L2 but no difference in calreticulin expression. ( c ) Quantitation of CD47 and PD-L1 immune stains in fibrotic and normal lung biopsies. Data are expressed as mean ± SD and analyzed by two-tailed unpaired t -test, ** P < 0.01; **** P < 0.0001. The immune stains were evaluated by a blinded pathologist, in addition to image J software. ( d ) A representative haematoxylin and eosin staining of fibrotic and normal lung tissue. The inserted black frames highlight the fibrotic and normal areas. Scale bar, 100 μm. ( e ) Multiplexed ion beam imaging (MIBI) and relevant quantitation demonstrated the co-expression of JUN and FOS with CD47 in fibroblasts in fibrotic plaques in lungs of idiopathic pulmonary fibrosis patients. Representative MIBI analysis of lung biopsy sections from 5 patients with idiopathic pulmonary fibrosis were stained with metal-conjugated antibodies. In total, 10 different markers (JUN, JUNB, JUND, FRA1, FRA2, FOS, FOSB, COLLAGEN1, CD47 and Hematoxylin) were analyzed. Eight fields of view were acquired with ten repeat scans over a single area. Experiments were run multiple times, representative examples and related analyses are shown as mean ± SD. Scale bar, 100 μm. ( f ) ELISA detected increased levels of secreted PD-L1 in fibrotic lung BAL compared to normal lungs. Data are expressed as mean ± SD of 5 fibrotic and 3 normal samples. Data were analyzed by two-tailed unpaired t -test, * P < 0.05. See Supplementary Table 4 for statistical details.

Article Snippet: For CD47 antibody blockade experiments, mice were injected intraperitoneally (IP) with a dose of 500 μg CD47 antibody (Clone MIAP410, Bioxcell) diluted in 100 μl of PBS on day 4.

Techniques: Expressing, Quantitation Assay, Two Tailed Test, Software, Staining, Imaging, Enzyme-linked Immunosorbent Assay

( a ) We analyzed dendritic cells in fibrotic and normal lungs with mass cytometry and found increased percentages of myeloid dendritic cells (mDC: CD45+ nonB nonT nonNK nonmacrophage CD11c+CD123-) in fibrotic lung but no difference for plasmacytoid dendritic cells (pDC: CD45+ nonB nonT nonNK nonmacrophage CD11c-CD123+). ( b ) IDO protein expression in macrophages from fibrotic lungs is decreased compared to macrophages from normal control lungs. Raw values of means of CyTOF data are displayed on a per-patient basis with mean ± SD of 11 fibrotic and 3 normal samples and analyzed by two-tailed unpaired t -test, * P < 0.05. ( c ) The viSNE maps colored by intensity of expression (red is high, and blue is low) demonstrate the expression of IDO, ARG1, CD47, CD16, CD163 and CD11c in macrophages derived from fibrotic lungs which clustered spatially within the black circled area. (d) Representative histogram of mass cytometry data demonstrates decreased alveolar macrophages (AM) but increased interstitial macrophages (IM) in human fibrotic lungs. ( e ) Individual viSNE analysis of AM and IM from fibrotic lung (blue) and normal lungs (orange) suggested the immunophenotypes of AM and IM in the fibrotic tissues are clearly different from those in the normal lungs. Macrophages derived from fibrotic lungs are highlighted by the dotted black circles. ( f ) Quantitation of PD-1+ expression on macrophages (CD68+) in fibrotic and normal lung biopsies. Data are expressed as mean ± SD and analyzed by unpaired t test with Welch’s correction (Two-tailed), ** P < 0.01. The immune stains were evaluated by a blinded pathologist, in addition to image J software. See Supplementary Table 4 for statistical details.

Journal: bioRxiv

Article Title: Activation of JUN in fibroblasts promotes pro-fibrotic programme and modulates protective immunity

doi: 10.1101/2020.03.18.997080

Figure Lengend Snippet: ( a ) We analyzed dendritic cells in fibrotic and normal lungs with mass cytometry and found increased percentages of myeloid dendritic cells (mDC: CD45+ nonB nonT nonNK nonmacrophage CD11c+CD123-) in fibrotic lung but no difference for plasmacytoid dendritic cells (pDC: CD45+ nonB nonT nonNK nonmacrophage CD11c-CD123+). ( b ) IDO protein expression in macrophages from fibrotic lungs is decreased compared to macrophages from normal control lungs. Raw values of means of CyTOF data are displayed on a per-patient basis with mean ± SD of 11 fibrotic and 3 normal samples and analyzed by two-tailed unpaired t -test, * P < 0.05. ( c ) The viSNE maps colored by intensity of expression (red is high, and blue is low) demonstrate the expression of IDO, ARG1, CD47, CD16, CD163 and CD11c in macrophages derived from fibrotic lungs which clustered spatially within the black circled area. (d) Representative histogram of mass cytometry data demonstrates decreased alveolar macrophages (AM) but increased interstitial macrophages (IM) in human fibrotic lungs. ( e ) Individual viSNE analysis of AM and IM from fibrotic lung (blue) and normal lungs (orange) suggested the immunophenotypes of AM and IM in the fibrotic tissues are clearly different from those in the normal lungs. Macrophages derived from fibrotic lungs are highlighted by the dotted black circles. ( f ) Quantitation of PD-1+ expression on macrophages (CD68+) in fibrotic and normal lung biopsies. Data are expressed as mean ± SD and analyzed by unpaired t test with Welch’s correction (Two-tailed), ** P < 0.01. The immune stains were evaluated by a blinded pathologist, in addition to image J software. See Supplementary Table 4 for statistical details.

Article Snippet: For CD47 antibody blockade experiments, mice were injected intraperitoneally (IP) with a dose of 500 μg CD47 antibody (Clone MIAP410, Bioxcell) diluted in 100 μl of PBS on day 4.

Techniques: Mass Cytometry, Expressing, Control, Two Tailed Test, Derivative Assay, Quantitation Assay, Software

( a ) Heatmap demonstrating dynamic chromatin changes in fibrotic lung fibroblasts with ( JUN -KO) or without (Control) JUN deletion and normal lung fibroblasts with (TetO- JUN Dox+) or without (TetO- JUN Dox-) JUN activation. ( b ) Representative genome browser tracks comparing ATAC-seq signal in fibrotic lung fibroblasts (with ( JUN -KO) or without (Control) JUN -knockout) and also ChIP-seq signal in normal lung fibroblasts (with (TetO- JUN Dox+) or without (TetO- JUN Dox-) JUN overexpression) with A549, MCF7, h1-hESC, HepG2 and K562 from published data at JUN , CD47 and CD274 loci. The red boxes highlight ATAC-seq and ChIP-seq peaks in the promoter sites of JUN , CD47 and CD274 (and enhancer is shown in green). We also compared our peaks with H3K4me3 or H3K27Ac (=histone mark for open chromatin), H3K9me3 or H3K27me3 (=histone mark for closed chromatin), ChIP-seq data generated from normal human lung fibroblasts is from published data, which highlighted the same areas respectively. ( c ) Gene expression changes in primary lung fibroblasts from JUN knockout (KO) compared to overexpression (OE). QPCR values were normalized to the value in JUN KO. Four experimental repeats. Ratio paired t test, ** P < 0.01; **** P < 0.0001. ( d ) Representative flow cytometry histograms showing reduced expression of pJUN, PD-L1 and CD47 after JUN overexpression (OE) or KO. Yellow plot: JUN overexpression; Black plot: JUN knockout. ( e ) Vector maps of the control and CD47 enhancer constructs used to engineer reporter cell lines. ( f, g ) CD47 enhancer reporter assays demonstrating doxycycline-induced JUN expression initiated CD47 enhancer expression which disappeared when JUN expression was turned off ( f ) or JUN was knocked out ( g ). Data are expressed as mean ± SD, Ordinary one-way ANOVA (Tukey’s multiple comparisons test), n.s., non-significant; * P < 0.05; *** P < 0.001; **** P < 0.0001. See Supplementary Table 4 for statistical details.

Journal: bioRxiv

Article Title: Activation of JUN in fibroblasts promotes pro-fibrotic programme and modulates protective immunity

doi: 10.1101/2020.03.18.997080

Figure Lengend Snippet: ( a ) Heatmap demonstrating dynamic chromatin changes in fibrotic lung fibroblasts with ( JUN -KO) or without (Control) JUN deletion and normal lung fibroblasts with (TetO- JUN Dox+) or without (TetO- JUN Dox-) JUN activation. ( b ) Representative genome browser tracks comparing ATAC-seq signal in fibrotic lung fibroblasts (with ( JUN -KO) or without (Control) JUN -knockout) and also ChIP-seq signal in normal lung fibroblasts (with (TetO- JUN Dox+) or without (TetO- JUN Dox-) JUN overexpression) with A549, MCF7, h1-hESC, HepG2 and K562 from published data at JUN , CD47 and CD274 loci. The red boxes highlight ATAC-seq and ChIP-seq peaks in the promoter sites of JUN , CD47 and CD274 (and enhancer is shown in green). We also compared our peaks with H3K4me3 or H3K27Ac (=histone mark for open chromatin), H3K9me3 or H3K27me3 (=histone mark for closed chromatin), ChIP-seq data generated from normal human lung fibroblasts is from published data, which highlighted the same areas respectively. ( c ) Gene expression changes in primary lung fibroblasts from JUN knockout (KO) compared to overexpression (OE). QPCR values were normalized to the value in JUN KO. Four experimental repeats. Ratio paired t test, ** P < 0.01; **** P < 0.0001. ( d ) Representative flow cytometry histograms showing reduced expression of pJUN, PD-L1 and CD47 after JUN overexpression (OE) or KO. Yellow plot: JUN overexpression; Black plot: JUN knockout. ( e ) Vector maps of the control and CD47 enhancer constructs used to engineer reporter cell lines. ( f, g ) CD47 enhancer reporter assays demonstrating doxycycline-induced JUN expression initiated CD47 enhancer expression which disappeared when JUN expression was turned off ( f ) or JUN was knocked out ( g ). Data are expressed as mean ± SD, Ordinary one-way ANOVA (Tukey’s multiple comparisons test), n.s., non-significant; * P < 0.05; *** P < 0.001; **** P < 0.0001. See Supplementary Table 4 for statistical details.

Article Snippet: For CD47 antibody blockade experiments, mice were injected intraperitoneally (IP) with a dose of 500 μg CD47 antibody (Clone MIAP410, Bioxcell) diluted in 100 μl of PBS on day 4.

Techniques: Control, Activation Assay, Knock-Out, ChIP-sequencing, Over Expression, Generated, Gene Expression, Flow Cytometry, Expressing, Plasmid Preparation, Construct

( a, b ) Quantitative comparative analysis of ATAC-seq peaks obtained from fibrotic lung fibroblasts with and without JUN deletion as well as normal lung fibroblasts with or without JUN overexpression. The top ten significant pathways which were associated with down regulation (labeled as Promoter Down in red) or up regulation (labeled as Promoter Up in blue) of the promoters were shown. ( c ) Venn Diagram generated by comparing downregulated promoters in fibrotic lung fibroblasts after JUN deletion with published RNA-seq data of bulk fibrotic lung samples demonstrating that 1.6% or 70 of the genes which overlapped between these two distinct data sets encoded profibrotic pathways (red) and pathways which encoded T-cell exhaustion (green). ( d ) Reporter assays for the CD47 enhancer demonstrating continuously increasing activation of the CD47 enhancer (E7TK) reflected by increased EGFP expression with increased JUN expression ( JUN -OE) while the CD47 enhancer activity decreased with doxycycline removal (turns JUN off) in a timely dependent manner and JUN deletion with CRISPR-Cas9 knock-out ( JUN -KO) abolished the enhancer activity. Meanwhile the control TK vector showing no differences with JUN modification. Scale bar, 100 μm. See Supplementary Table 4 for statistical details.

Journal: bioRxiv

Article Title: Activation of JUN in fibroblasts promotes pro-fibrotic programme and modulates protective immunity

doi: 10.1101/2020.03.18.997080

Figure Lengend Snippet: ( a, b ) Quantitative comparative analysis of ATAC-seq peaks obtained from fibrotic lung fibroblasts with and without JUN deletion as well as normal lung fibroblasts with or without JUN overexpression. The top ten significant pathways which were associated with down regulation (labeled as Promoter Down in red) or up regulation (labeled as Promoter Up in blue) of the promoters were shown. ( c ) Venn Diagram generated by comparing downregulated promoters in fibrotic lung fibroblasts after JUN deletion with published RNA-seq data of bulk fibrotic lung samples demonstrating that 1.6% or 70 of the genes which overlapped between these two distinct data sets encoded profibrotic pathways (red) and pathways which encoded T-cell exhaustion (green). ( d ) Reporter assays for the CD47 enhancer demonstrating continuously increasing activation of the CD47 enhancer (E7TK) reflected by increased EGFP expression with increased JUN expression ( JUN -OE) while the CD47 enhancer activity decreased with doxycycline removal (turns JUN off) in a timely dependent manner and JUN deletion with CRISPR-Cas9 knock-out ( JUN -KO) abolished the enhancer activity. Meanwhile the control TK vector showing no differences with JUN modification. Scale bar, 100 μm. See Supplementary Table 4 for statistical details.

Article Snippet: For CD47 antibody blockade experiments, mice were injected intraperitoneally (IP) with a dose of 500 μg CD47 antibody (Clone MIAP410, Bioxcell) diluted in 100 μl of PBS on day 4.

Techniques: Over Expression, Labeling, Generated, RNA Sequencing, Activation Assay, Expressing, Activity Assay, CRISPR, Knock-Out, Control, Plasmid Preparation, Modification

( a ) The secreted proteins in the lung bronchoalveolar lavage (BAL) of fibrotic lung patients were quantified by Luminex assay, showing IL-6 as the highest expressed cytokine across all fibrotic patient BAL samples. Data were normalized by protein levels of the BAL of normal lung and presented as mean ± SD. ( b ) Cytokines and chemokines in the fibrotic mouse BAL after Jun induction were quantified by Luminex assay. IL-6 was consistently among the most highly expressed cytokines in Jun -induced mouse fibrotic lungs indicative of IL-6-JAK-STAT pathway activation. Data were normalized by normal lung expression and presented as mean ± SD. ( c ) The cytokines/chemokines released from Jun -induced, lung-fibrotic, mouse-derived whole bone marrow, fibroblasts and monocytes/macrophages in the medium after 48h of Dox-initiated Jun induction were quantified by Luminex assay, demonstrating that whole bone marrow and fibroblasts are secreting increased IL-6 in response to Jun. Data are presented as mean ± SD. ( d ) Increased IL-6 expression levels were detected by QPCR and flow cytometry in primary lung fibroblasts with JUN knock-out (KO) or overexpression (OE). Four experimental repeats. Ratio paired t test, *** P < 0.001. ( e, f ) IL-6 increased CD47 enhancer activity at concentrations as low as 1 ng/ml ( e ) and protein expression at 10 ng/ml ( f ) in a dose-dependent fashion. Data are expressed as mean ± SD, Ordinary one-way ANOVA with multiple comparisons test, n.s., non-significant; ** P < 0.01; *** P < 0.001; **** P < 0.0001. See Supplementary Table 4 for statistical details.

Journal: bioRxiv

Article Title: Activation of JUN in fibroblasts promotes pro-fibrotic programme and modulates protective immunity

doi: 10.1101/2020.03.18.997080

Figure Lengend Snippet: ( a ) The secreted proteins in the lung bronchoalveolar lavage (BAL) of fibrotic lung patients were quantified by Luminex assay, showing IL-6 as the highest expressed cytokine across all fibrotic patient BAL samples. Data were normalized by protein levels of the BAL of normal lung and presented as mean ± SD. ( b ) Cytokines and chemokines in the fibrotic mouse BAL after Jun induction were quantified by Luminex assay. IL-6 was consistently among the most highly expressed cytokines in Jun -induced mouse fibrotic lungs indicative of IL-6-JAK-STAT pathway activation. Data were normalized by normal lung expression and presented as mean ± SD. ( c ) The cytokines/chemokines released from Jun -induced, lung-fibrotic, mouse-derived whole bone marrow, fibroblasts and monocytes/macrophages in the medium after 48h of Dox-initiated Jun induction were quantified by Luminex assay, demonstrating that whole bone marrow and fibroblasts are secreting increased IL-6 in response to Jun. Data are presented as mean ± SD. ( d ) Increased IL-6 expression levels were detected by QPCR and flow cytometry in primary lung fibroblasts with JUN knock-out (KO) or overexpression (OE). Four experimental repeats. Ratio paired t test, *** P < 0.001. ( e, f ) IL-6 increased CD47 enhancer activity at concentrations as low as 1 ng/ml ( e ) and protein expression at 10 ng/ml ( f ) in a dose-dependent fashion. Data are expressed as mean ± SD, Ordinary one-way ANOVA with multiple comparisons test, n.s., non-significant; ** P < 0.01; *** P < 0.001; **** P < 0.0001. See Supplementary Table 4 for statistical details.

Article Snippet: For CD47 antibody blockade experiments, mice were injected intraperitoneally (IP) with a dose of 500 μg CD47 antibody (Clone MIAP410, Bioxcell) diluted in 100 μl of PBS on day 4.

Techniques: Luminex, Activation Assay, Expressing, Derivative Assay, Flow Cytometry, Knock-Out, Over Expression, Activity Assay

( a ) Schematic maps showing that the promoter sites (highlighted in red) for IL-6, IL-6R, and IL-6ST depended on JUN expression in normal lung fibroblasts with (TetO- JUN Dox+) or without (TetO- JUN Dox-) JUN overexpression and fibrotic lung fibroblasts with ( JUN -KO) or without (Control) JUN knockout with CRISPR-Cas9 but not in other cell lines like A549, MCF7, h1-hESC, HepG2 and K562. We also compared our data to publicly available H3K4me3 or H3K27Ac (=histone mark for open chromatin), H3K9me3 or H3K27me3 (=histone mark for closed chromatin) ChIP-seq data generated from normal human lung fibroblast from published data to confirm the regions of open chromatin for the IL-6 family members. ( b ) IL-6 expression in the bronchoalveolar lavages (BAL) of fibrotic and normal lungs were measured by ELISA showing dramatically increased secreted IL-6 protein. Data are expressed as min to max of 5 fibrotic and 3 normal samples. Data were analyzed by unpaired t test with Welch’s correction (Two-tailed), *** P < 0.001. ( c ) CD47 constituent enhancer-driven EGFP reporter (E7TK) expression was activated and increased in lung fibroblast cells treated with IL-6 in a dose dependent manner. Control cells were transduced with the lentiviral cassette containing the thymidine kinase (TK) minimal promoter only. Scale bar, 100 μm. See Supplementary Table 4 for statistical details.

Journal: bioRxiv

Article Title: Activation of JUN in fibroblasts promotes pro-fibrotic programme and modulates protective immunity

doi: 10.1101/2020.03.18.997080

Figure Lengend Snippet: ( a ) Schematic maps showing that the promoter sites (highlighted in red) for IL-6, IL-6R, and IL-6ST depended on JUN expression in normal lung fibroblasts with (TetO- JUN Dox+) or without (TetO- JUN Dox-) JUN overexpression and fibrotic lung fibroblasts with ( JUN -KO) or without (Control) JUN knockout with CRISPR-Cas9 but not in other cell lines like A549, MCF7, h1-hESC, HepG2 and K562. We also compared our data to publicly available H3K4me3 or H3K27Ac (=histone mark for open chromatin), H3K9me3 or H3K27me3 (=histone mark for closed chromatin) ChIP-seq data generated from normal human lung fibroblast from published data to confirm the regions of open chromatin for the IL-6 family members. ( b ) IL-6 expression in the bronchoalveolar lavages (BAL) of fibrotic and normal lungs were measured by ELISA showing dramatically increased secreted IL-6 protein. Data are expressed as min to max of 5 fibrotic and 3 normal samples. Data were analyzed by unpaired t test with Welch’s correction (Two-tailed), *** P < 0.001. ( c ) CD47 constituent enhancer-driven EGFP reporter (E7TK) expression was activated and increased in lung fibroblast cells treated with IL-6 in a dose dependent manner. Control cells were transduced with the lentiviral cassette containing the thymidine kinase (TK) minimal promoter only. Scale bar, 100 μm. See Supplementary Table 4 for statistical details.

Article Snippet: For CD47 antibody blockade experiments, mice were injected intraperitoneally (IP) with a dose of 500 μg CD47 antibody (Clone MIAP410, Bioxcell) diluted in 100 μl of PBS on day 4.

Techniques: Expressing, Over Expression, Control, Knock-Out, CRISPR, ChIP-sequencing, Generated, Enzyme-linked Immunosorbent Assay, Two Tailed Test, Transduction

( a ) Wholelung scaffold map for bleomycin-induced lung fibrosis in mice. Each node represents unsupervised cell clusters. ( b ) Representative mass cytometry plot demonstrating increased expression of immune checkpoint proteins CD47 and PD-L1 in fibroblasts and an expansion of CD11b+F4/80+ macrophages, regulator T cells (CD3+CD4+CD25+FOXP3+) and exhausted T cells (CD3+CD8+PD-1+TIM3+) in mouse model after fibrosis induction with bleomycin for 2 weeks. ( c, d ) Representative images of Micro CT scans of wildtype and B6.129S2- Il6 tm1Kopf /J (IL-6KO) mice highlighting increased fibrosis in the lung after fibrosis induction (wildtype and IL-6KO mice) and much improved fibrosis after treatment with HAC (anti-PD-L1) alone or combined with a blocking antibody against CD47 or/and IL-6. Data are expressed as mean ± SD of 5 animals and analyzed by using one-way ANOVA for multiple comparisons test. n.s., non-significant; * P < 0.05; **** P < 0.0001. ( e ) Trichrome of lung sections of control mice, mice after fibrosis induction with bleomycin (wildtype and IL-6KO mice) and mice after treatment with blocking antibodies against IL-6 and CD47 and HAC (the blocking reagent against PD-L1) demonstrating dramatically improved fibrosis (significantly decreased blue stained areas on Masson’s trichrome stain which correspond to cross-linked collagen) and diminished PD-L1 expression in FSP1+ fibroblasts after treatment. Scale bar, 100 μm. See Supplementary Table 4 for statistical details.

Journal: bioRxiv

Article Title: Activation of JUN in fibroblasts promotes pro-fibrotic programme and modulates protective immunity

doi: 10.1101/2020.03.18.997080

Figure Lengend Snippet: ( a ) Wholelung scaffold map for bleomycin-induced lung fibrosis in mice. Each node represents unsupervised cell clusters. ( b ) Representative mass cytometry plot demonstrating increased expression of immune checkpoint proteins CD47 and PD-L1 in fibroblasts and an expansion of CD11b+F4/80+ macrophages, regulator T cells (CD3+CD4+CD25+FOXP3+) and exhausted T cells (CD3+CD8+PD-1+TIM3+) in mouse model after fibrosis induction with bleomycin for 2 weeks. ( c, d ) Representative images of Micro CT scans of wildtype and B6.129S2- Il6 tm1Kopf /J (IL-6KO) mice highlighting increased fibrosis in the lung after fibrosis induction (wildtype and IL-6KO mice) and much improved fibrosis after treatment with HAC (anti-PD-L1) alone or combined with a blocking antibody against CD47 or/and IL-6. Data are expressed as mean ± SD of 5 animals and analyzed by using one-way ANOVA for multiple comparisons test. n.s., non-significant; * P < 0.05; **** P < 0.0001. ( e ) Trichrome of lung sections of control mice, mice after fibrosis induction with bleomycin (wildtype and IL-6KO mice) and mice after treatment with blocking antibodies against IL-6 and CD47 and HAC (the blocking reagent against PD-L1) demonstrating dramatically improved fibrosis (significantly decreased blue stained areas on Masson’s trichrome stain which correspond to cross-linked collagen) and diminished PD-L1 expression in FSP1+ fibroblasts after treatment. Scale bar, 100 μm. See Supplementary Table 4 for statistical details.

Article Snippet: For CD47 antibody blockade experiments, mice were injected intraperitoneally (IP) with a dose of 500 μg CD47 antibody (Clone MIAP410, Bioxcell) diluted in 100 μl of PBS on day 4.

Techniques: Mass Cytometry, Expressing, Micro-CT, Blocking Assay, Control, Staining

( a ) Histogram plots of mass cytometry data of phosphor p-JUN expression in lung fibroblasts comparing two different mouse models of lung fibrosis—the bleomycin-induced lung fibrosis model abundantly used by many labs and the JUN-induced lung fibrosis model—both demonstrated increased activation and phosphorylation of JUN after initiation of lung fibrosis in mice. ( b ) The time course of bleomycin induction in mice and in vivo treatment with blocking antibodies. ( c, d ) Morphological and molecular markers of representative histologic sections of wildtype and B6.129S2- I16 tm1Kopf /J ( IL-6KO ) mice lung tissues after fibrosis induction and treatment with blocking antibodies against immune checkpoint inhibitors and IL-6. Hematoxylin-Eosin (H.E.) stains and CD47, FSP1 counterstained with DAPI ( c ), Masson’s Trichrome stains and PD-L1 and FSP1 with DAPI ( d ) demonstrating improved fibrosis along with decreased CD47 and PD-L1 immune checkpoint protein expression in fibroblasts (FSP1+). Scale bar, 100 μm. ( e ) Quantitation of PD-L1 and CD47 expression in fibroblasts and collagen fibrosis of 10 high power fields (40x) of trichrome-stained sections. Data are expressed as mean ± SD, ordinary one-way ANOVA (Dunnett’s multiple comparisons test), n.s., non-significant; **** P < 0.0001. The immune stains were evaluated by a blinded pathologist, in addition to image J software. ( f ) In vivo analysis of human fibrotic fibroblasts in kidney capsule adoptive transfer assay in NSG mice to study efficacy of PD-1/PD-L1 blockade with HAC protein. Representative bioluminescence imaging (BLI) image and quantification of luminescence intensity, trichrome and anti-GFP staining of kidney area with the xenograft demonstrate that PD-1/PD-L1 blockade with HAC increased fibrotic fibroblast clearance compared to placebo (PBS). Data are expressed as mean ± SD and analyzed by using two-way ANOVA followed by Tukey’s multiple comparisons test. ** P < 0.01. Scale bar, 100 μm. See Supplementary Table 4 for statistical details.

Journal: bioRxiv

Article Title: Activation of JUN in fibroblasts promotes pro-fibrotic programme and modulates protective immunity

doi: 10.1101/2020.03.18.997080

Figure Lengend Snippet: ( a ) Histogram plots of mass cytometry data of phosphor p-JUN expression in lung fibroblasts comparing two different mouse models of lung fibrosis—the bleomycin-induced lung fibrosis model abundantly used by many labs and the JUN-induced lung fibrosis model—both demonstrated increased activation and phosphorylation of JUN after initiation of lung fibrosis in mice. ( b ) The time course of bleomycin induction in mice and in vivo treatment with blocking antibodies. ( c, d ) Morphological and molecular markers of representative histologic sections of wildtype and B6.129S2- I16 tm1Kopf /J ( IL-6KO ) mice lung tissues after fibrosis induction and treatment with blocking antibodies against immune checkpoint inhibitors and IL-6. Hematoxylin-Eosin (H.E.) stains and CD47, FSP1 counterstained with DAPI ( c ), Masson’s Trichrome stains and PD-L1 and FSP1 with DAPI ( d ) demonstrating improved fibrosis along with decreased CD47 and PD-L1 immune checkpoint protein expression in fibroblasts (FSP1+). Scale bar, 100 μm. ( e ) Quantitation of PD-L1 and CD47 expression in fibroblasts and collagen fibrosis of 10 high power fields (40x) of trichrome-stained sections. Data are expressed as mean ± SD, ordinary one-way ANOVA (Dunnett’s multiple comparisons test), n.s., non-significant; **** P < 0.0001. The immune stains were evaluated by a blinded pathologist, in addition to image J software. ( f ) In vivo analysis of human fibrotic fibroblasts in kidney capsule adoptive transfer assay in NSG mice to study efficacy of PD-1/PD-L1 blockade with HAC protein. Representative bioluminescence imaging (BLI) image and quantification of luminescence intensity, trichrome and anti-GFP staining of kidney area with the xenograft demonstrate that PD-1/PD-L1 blockade with HAC increased fibrotic fibroblast clearance compared to placebo (PBS). Data are expressed as mean ± SD and analyzed by using two-way ANOVA followed by Tukey’s multiple comparisons test. ** P < 0.01. Scale bar, 100 μm. See Supplementary Table 4 for statistical details.

Article Snippet: For CD47 antibody blockade experiments, mice were injected intraperitoneally (IP) with a dose of 500 μg CD47 antibody (Clone MIAP410, Bioxcell) diluted in 100 μl of PBS on day 4.

Techniques: Mass Cytometry, Expressing, Activation Assay, Phospho-proteomics, In Vivo, Blocking Assay, Quantitation Assay, Staining, Software, Adoptive Transfer Assay, Imaging

Left: In fibrotic lung, we find persistent myofibroblast activation in fibrotic plaques and JUN upregulation. JUN expression in fibrosis-associated fibroblasts (FAFs) appears to directly control the promoters and enhancers of CD47 and CD274 (PD-L1). The direct consequence is increased expression of these immune checkpoint proteins in fibroblasts and dormant macrophages which do not phagocytose, but continue to release chronic inflammatory cytokines. JUN also directly regulates IL-6 at the chromatin level. The increased expression and secretion of this potent cytokine leads to a suppressive adaptive immune response—chiefly T cell exhaustion and upregulation of regulatory T cells. Right: Disrupting the suppression of the innate and adaptive immunity with CD47 and PD-L1 inhibitors as well as the proinflammatory IL-6 cytokine pathway stimulated phagocytic removal of profibrotic fibroblasts and T-cell activation leading to clearance of the fibrosis in the lung.

Journal: bioRxiv

Article Title: Activation of JUN in fibroblasts promotes pro-fibrotic programme and modulates protective immunity

doi: 10.1101/2020.03.18.997080

Figure Lengend Snippet: Left: In fibrotic lung, we find persistent myofibroblast activation in fibrotic plaques and JUN upregulation. JUN expression in fibrosis-associated fibroblasts (FAFs) appears to directly control the promoters and enhancers of CD47 and CD274 (PD-L1). The direct consequence is increased expression of these immune checkpoint proteins in fibroblasts and dormant macrophages which do not phagocytose, but continue to release chronic inflammatory cytokines. JUN also directly regulates IL-6 at the chromatin level. The increased expression and secretion of this potent cytokine leads to a suppressive adaptive immune response—chiefly T cell exhaustion and upregulation of regulatory T cells. Right: Disrupting the suppression of the innate and adaptive immunity with CD47 and PD-L1 inhibitors as well as the proinflammatory IL-6 cytokine pathway stimulated phagocytic removal of profibrotic fibroblasts and T-cell activation leading to clearance of the fibrosis in the lung.

Article Snippet: For CD47 antibody blockade experiments, mice were injected intraperitoneally (IP) with a dose of 500 μg CD47 antibody (Clone MIAP410, Bioxcell) diluted in 100 μl of PBS on day 4.

Techniques: Activation Assay, Expressing, Control

Preparation and characterization of anti‐CD47‐PCM@NP. A) Hydrodynamic size and zeta potential of CM vesicles, PLGA cores (NP), PCM@NP, and anti‐CD47‐PCM@NP. Data are means ± SD ( n = 3). B) Colocalization of NP/C6 (green) with DiD‐PCM (red), and the colocalization of FITC‐antibody (green) with DiD‐PCM@NP (red), both assessed by confocal laser scanning microscope (CLSM) (scale bar = 5 µm). C) Transmission electron micrographs of (a) NP, (b) CM vesicle, (c) PCM@NP, (d) Anti‐CD47‐PCM@NP, and (e) multiple anti‐CD47‐PCM@NP. All scale bars = 100 nm. D) SDS‐PAGE protein analysis of NP, PCM@NP, CM vesicles, and cancer cell lysate. Samples were tested at equal protein concentrations. CD47 protein and membrane‐specific protein on the cancer cell membrane were efficiently retained on the extracted membrane vesicles and the PCM@NP, detected by western blot. E) Determination of the antibody labeled by PE loaded on the surface of anti‐CD47‐PCM@NP by flow nanoanalyzer. F) The binding affinity of the antibody to the CM vesicles by surface plasmon resonance (SPR).

Journal: Advanced Science

Article Title: Overcoming the On‐Target Toxicity in Antibody‐Mediated Therapies via an Indirect Active Targeting Strategy

doi: 10.1002/advs.202206912

Figure Lengend Snippet: Preparation and characterization of anti‐CD47‐PCM@NP. A) Hydrodynamic size and zeta potential of CM vesicles, PLGA cores (NP), PCM@NP, and anti‐CD47‐PCM@NP. Data are means ± SD ( n = 3). B) Colocalization of NP/C6 (green) with DiD‐PCM (red), and the colocalization of FITC‐antibody (green) with DiD‐PCM@NP (red), both assessed by confocal laser scanning microscope (CLSM) (scale bar = 5 µm). C) Transmission electron micrographs of (a) NP, (b) CM vesicle, (c) PCM@NP, (d) Anti‐CD47‐PCM@NP, and (e) multiple anti‐CD47‐PCM@NP. All scale bars = 100 nm. D) SDS‐PAGE protein analysis of NP, PCM@NP, CM vesicles, and cancer cell lysate. Samples were tested at equal protein concentrations. CD47 protein and membrane‐specific protein on the cancer cell membrane were efficiently retained on the extracted membrane vesicles and the PCM@NP, detected by western blot. E) Determination of the antibody labeled by PE loaded on the surface of anti‐CD47‐PCM@NP by flow nanoanalyzer. F) The binding affinity of the antibody to the CM vesicles by surface plasmon resonance (SPR).

Article Snippet: Streptavidin Conjugation Kit‐Lightning‐Link (Abcam, ab102921). siRNAs (sense 5’‐3’ CACCGAAGAAAUGUUUGUGAATT; sense 5’‐3’ CCAUACGAAUAAGAGAAUCAUTT) were purchased from Shanghai Sangon Biotechnology Co., Ltd. Quantum R‐PE MESF Medium Level (FCSC827B) was from Bio‐Rad Laboratories, Inc. PE anti‐human/mouse/rat CD47 antibody (E‐AB‐F1016D) was purchased from Elabscience (Wuhan, China).

Techniques: Zeta Potential Analyzer, Laser-Scanning Microscopy, Transmission Assay, SDS Page, Membrane, Western Blot, Labeling, Binding Assay, SPR Assay

Anti‐CD47‐PCM@NP effectively distinguished target cells from CD47‐expressing nontarget cells in vitro through indirect active targeting. A) Anti‐CD47‐PCM@NP avoided the blocking of CD47 on RBC and subsequent phagocytosis thus circumvented the on‐target toxicity of free anti‐CD47 towards RBC through the INTACT strategy. Scale bar = 50 µm. B,C) PCM@NP and anti‐CD47‐PCM@NP efficiently escaped the capture by B) macrophages with enhanced and parallel cellular uptake by C) target 4T1 cells, measured by flow cytometry. The antibody selectively dissociated from the carrier PCM@NP at the presence of 4T1 cells with high expression of D) CD47 in contrast to E) CD47 −/− 4T1 cells, shown by colocalization images and distribution map of PE‐antibody (red) and PCM@NP/C6 (green). Scale bar = 20 µm (multi‐cell images), 2 µm (single‐cell images). F) The schematic diagram of the microfluidic device. The tumor cells were cultured in the cavity of the microfluidic chip till adherence, and then exposed to flowing anti‐CD47 or anti‐CD47‐PCM@NP, and fluorescent images were captured at predetermined time points. G) Free anti‐CD47 sufficiently bound to the surface of 4T1 cells with high expression of CD47 (a). The antibody dissociated from PCM@NP at the presence of 4T1 cells (b), in contrast with CD47 −/− 4T1 group (c) (antibody labeled with FITC, green. PCM@NP labeled with DiD, red). Scale bar = 10 µm. Original movies are shown in Movie S1 (Supporting Information) (a), Movie S2 (Supporting Information) (b), and Movie S3 (Supporting Information) (c), respectively. Data are presented as mean ± SD ( n = 3). (* p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001; NS represents non‐significance).

Journal: Advanced Science

Article Title: Overcoming the On‐Target Toxicity in Antibody‐Mediated Therapies via an Indirect Active Targeting Strategy

doi: 10.1002/advs.202206912

Figure Lengend Snippet: Anti‐CD47‐PCM@NP effectively distinguished target cells from CD47‐expressing nontarget cells in vitro through indirect active targeting. A) Anti‐CD47‐PCM@NP avoided the blocking of CD47 on RBC and subsequent phagocytosis thus circumvented the on‐target toxicity of free anti‐CD47 towards RBC through the INTACT strategy. Scale bar = 50 µm. B,C) PCM@NP and anti‐CD47‐PCM@NP efficiently escaped the capture by B) macrophages with enhanced and parallel cellular uptake by C) target 4T1 cells, measured by flow cytometry. The antibody selectively dissociated from the carrier PCM@NP at the presence of 4T1 cells with high expression of D) CD47 in contrast to E) CD47 −/− 4T1 cells, shown by colocalization images and distribution map of PE‐antibody (red) and PCM@NP/C6 (green). Scale bar = 20 µm (multi‐cell images), 2 µm (single‐cell images). F) The schematic diagram of the microfluidic device. The tumor cells were cultured in the cavity of the microfluidic chip till adherence, and then exposed to flowing anti‐CD47 or anti‐CD47‐PCM@NP, and fluorescent images were captured at predetermined time points. G) Free anti‐CD47 sufficiently bound to the surface of 4T1 cells with high expression of CD47 (a). The antibody dissociated from PCM@NP at the presence of 4T1 cells (b), in contrast with CD47 −/− 4T1 group (c) (antibody labeled with FITC, green. PCM@NP labeled with DiD, red). Scale bar = 10 µm. Original movies are shown in Movie S1 (Supporting Information) (a), Movie S2 (Supporting Information) (b), and Movie S3 (Supporting Information) (c), respectively. Data are presented as mean ± SD ( n = 3). (* p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001; NS represents non‐significance).

Article Snippet: Streptavidin Conjugation Kit‐Lightning‐Link (Abcam, ab102921). siRNAs (sense 5’‐3’ CACCGAAGAAAUGUUUGUGAATT; sense 5’‐3’ CCAUACGAAUAAGAGAAUCAUTT) were purchased from Shanghai Sangon Biotechnology Co., Ltd. Quantum R‐PE MESF Medium Level (FCSC827B) was from Bio‐Rad Laboratories, Inc. PE anti‐human/mouse/rat CD47 antibody (E‐AB‐F1016D) was purchased from Elabscience (Wuhan, China).

Techniques: Expressing, In Vitro, Blocking Assay, Flow Cytometry, Cell Culture, Labeling

Evaluation of the biological functions of anti‐CD47‐PCM@NP in vivo. A) In vivo and ex vivo targeting ability of anti‐CD47‐PCM@NP and anti‐CD47 in tumor‐bearing mice models determined by live imaging. B) The semiquantitative analysis of the ratio of fluorescence intensity (tumor/liver) of ex vivo imaging. C) In vivo biodistribution of coumarin 6 (C6)‐labeled formulations in tumor‐bearing mice models at (a) 2 h, (b) 4 h, (c) 8 h, and (d) 12 h after i.v. injection of NP/C6, PCM@NP/C6 and anti‐CD47‐PCM@NP/C6. Data are presented as mean ± SD ( n = 3) (* p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001; NS represents non‐significance).

Journal: Advanced Science

Article Title: Overcoming the On‐Target Toxicity in Antibody‐Mediated Therapies via an Indirect Active Targeting Strategy

doi: 10.1002/advs.202206912

Figure Lengend Snippet: Evaluation of the biological functions of anti‐CD47‐PCM@NP in vivo. A) In vivo and ex vivo targeting ability of anti‐CD47‐PCM@NP and anti‐CD47 in tumor‐bearing mice models determined by live imaging. B) The semiquantitative analysis of the ratio of fluorescence intensity (tumor/liver) of ex vivo imaging. C) In vivo biodistribution of coumarin 6 (C6)‐labeled formulations in tumor‐bearing mice models at (a) 2 h, (b) 4 h, (c) 8 h, and (d) 12 h after i.v. injection of NP/C6, PCM@NP/C6 and anti‐CD47‐PCM@NP/C6. Data are presented as mean ± SD ( n = 3) (* p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001; NS represents non‐significance).

Article Snippet: Streptavidin Conjugation Kit‐Lightning‐Link (Abcam, ab102921). siRNAs (sense 5’‐3’ CACCGAAGAAAUGUUUGUGAATT; sense 5’‐3’ CCAUACGAAUAAGAGAAUCAUTT) were purchased from Shanghai Sangon Biotechnology Co., Ltd. Quantum R‐PE MESF Medium Level (FCSC827B) was from Bio‐Rad Laboratories, Inc. PE anti‐human/mouse/rat CD47 antibody (E‐AB‐F1016D) was purchased from Elabscience (Wuhan, China).

Techniques: In Vivo, Ex Vivo, Imaging, Fluorescence, Labeling, Injection

Antitumor efficacy of anti‐CD47‐PCM@NP and mechanistic investigation by CyTOF analysis. A) Representative images and phagocytic index of C57BL/6 bone marrow‐derived macrophages (BMDM) phagocytosing tumor cells following treatment with PCM@NP, anti‐CD47, and anti‐CD47‐PCM@NP. Scale bar = 50 µm. B) Timeline of the anti‐tumor efficacy study on tumor‐bearing mice (red arrows indicate intravenous administrations), and average tumor growth curves and picture of tumor tissues after the treatment. C) Individual tumor growth curves in each group. D) viSNE plot of intratumoral cells in tumor tissues after treatment with saline, PCM@NP, anti‐CD47, anti‐CD47‐PCM@NP and all groups merged. E) Heat map of the surface molecule and functional molecule expression of different subsets of immune cells in tumor tissues from all groups merged. F) tSNE visualization of all samples with the expression of CD4 and CD8a respectively. G) Percentage of cells in each cluster after treatment from each group. Data represented as mean ± SD ( n = 6). (* p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001; NS represents nonsignificance).

Journal: Advanced Science

Article Title: Overcoming the On‐Target Toxicity in Antibody‐Mediated Therapies via an Indirect Active Targeting Strategy

doi: 10.1002/advs.202206912

Figure Lengend Snippet: Antitumor efficacy of anti‐CD47‐PCM@NP and mechanistic investigation by CyTOF analysis. A) Representative images and phagocytic index of C57BL/6 bone marrow‐derived macrophages (BMDM) phagocytosing tumor cells following treatment with PCM@NP, anti‐CD47, and anti‐CD47‐PCM@NP. Scale bar = 50 µm. B) Timeline of the anti‐tumor efficacy study on tumor‐bearing mice (red arrows indicate intravenous administrations), and average tumor growth curves and picture of tumor tissues after the treatment. C) Individual tumor growth curves in each group. D) viSNE plot of intratumoral cells in tumor tissues after treatment with saline, PCM@NP, anti‐CD47, anti‐CD47‐PCM@NP and all groups merged. E) Heat map of the surface molecule and functional molecule expression of different subsets of immune cells in tumor tissues from all groups merged. F) tSNE visualization of all samples with the expression of CD4 and CD8a respectively. G) Percentage of cells in each cluster after treatment from each group. Data represented as mean ± SD ( n = 6). (* p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001; NS represents nonsignificance).

Article Snippet: Streptavidin Conjugation Kit‐Lightning‐Link (Abcam, ab102921). siRNAs (sense 5’‐3’ CACCGAAGAAAUGUUUGUGAATT; sense 5’‐3’ CCAUACGAAUAAGAGAAUCAUTT) were purchased from Shanghai Sangon Biotechnology Co., Ltd. Quantum R‐PE MESF Medium Level (FCSC827B) was from Bio‐Rad Laboratories, Inc. PE anti‐human/mouse/rat CD47 antibody (E‐AB‐F1016D) was purchased from Elabscience (Wuhan, China).

Techniques: Derivative Assay, Saline, Functional Assay, Expressing

The INTACT strategy efficiently delivers antibodies to tumors with reduced in vivo toxicity. A) Anti‐CD47‐PCM@NP exhibited no significant influence on red blood cell (RBC), hemoglobin (HGB), hematocrit (HCT), and platelet (PLT). Data represented as mean ± SD ( n = 3). B–D) Anti‐CD47‐PCM@NP relieved the occurrence of fungal infection during antitumor treatment. B) Experimental timeline and treatments in tumor‐bearing mice (arrows indicate intravenous administrations). At day 14, mice were infected with C. albicans via tail vein injection. C) Colony‐forming units (CFU) on day 7 in the kidneys of infected mouse models ( n = 6). D) The survival rates of infected mice with different treatments ( n = 12). Data represented as mean ± SD. (* p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001; NS represents non‐significance).

Journal: Advanced Science

Article Title: Overcoming the On‐Target Toxicity in Antibody‐Mediated Therapies via an Indirect Active Targeting Strategy

doi: 10.1002/advs.202206912

Figure Lengend Snippet: The INTACT strategy efficiently delivers antibodies to tumors with reduced in vivo toxicity. A) Anti‐CD47‐PCM@NP exhibited no significant influence on red blood cell (RBC), hemoglobin (HGB), hematocrit (HCT), and platelet (PLT). Data represented as mean ± SD ( n = 3). B–D) Anti‐CD47‐PCM@NP relieved the occurrence of fungal infection during antitumor treatment. B) Experimental timeline and treatments in tumor‐bearing mice (arrows indicate intravenous administrations). At day 14, mice were infected with C. albicans via tail vein injection. C) Colony‐forming units (CFU) on day 7 in the kidneys of infected mouse models ( n = 6). D) The survival rates of infected mice with different treatments ( n = 12). Data represented as mean ± SD. (* p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001; NS represents non‐significance).

Article Snippet: Streptavidin Conjugation Kit‐Lightning‐Link (Abcam, ab102921). siRNAs (sense 5’‐3’ CACCGAAGAAAUGUUUGUGAATT; sense 5’‐3’ CCAUACGAAUAAGAGAAUCAUTT) were purchased from Shanghai Sangon Biotechnology Co., Ltd. Quantum R‐PE MESF Medium Level (FCSC827B) was from Bio‐Rad Laboratories, Inc. PE anti‐human/mouse/rat CD47 antibody (E‐AB‐F1016D) was purchased from Elabscience (Wuhan, China).

Techniques: In Vivo, Infection, Injection

The INTACT strategy is adaptive to multiple antibody‐based systems. A) Relative tumor volume growth with anti‐CD47‐PCM@NP/PTX treatment ( n = 6). B–G) The INTACT therapy refined the targeting precision of ADC. B) The diagram of ADC construction: Anti‐CD47 was modified with streptavidin and conjugated with DM1 via the crosslinker BMCC‐biotin. C) The conjugation of ADC was confirmed with SDS‐PAGE. D) Experimental timeline for the anti‐tumor efficacy study and hematology assessments of ADC‐PCM@NP (red arrows indicate intravenous administrations). E) Average tumor growth curves, and picture of the tumor tissues after the treatment ( n = 6). F) Individual tumor growth curves in each group ( n = 6). G) Hematology assessments of red blood cell (RBC), hemoglobin (HGB), hematocrit (HCT), and platelet (PLT) ( n = 3). Data represented as mean ± SD. (* p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001; NS represents non‐significance).

Journal: Advanced Science

Article Title: Overcoming the On‐Target Toxicity in Antibody‐Mediated Therapies via an Indirect Active Targeting Strategy

doi: 10.1002/advs.202206912

Figure Lengend Snippet: The INTACT strategy is adaptive to multiple antibody‐based systems. A) Relative tumor volume growth with anti‐CD47‐PCM@NP/PTX treatment ( n = 6). B–G) The INTACT therapy refined the targeting precision of ADC. B) The diagram of ADC construction: Anti‐CD47 was modified with streptavidin and conjugated with DM1 via the crosslinker BMCC‐biotin. C) The conjugation of ADC was confirmed with SDS‐PAGE. D) Experimental timeline for the anti‐tumor efficacy study and hematology assessments of ADC‐PCM@NP (red arrows indicate intravenous administrations). E) Average tumor growth curves, and picture of the tumor tissues after the treatment ( n = 6). F) Individual tumor growth curves in each group ( n = 6). G) Hematology assessments of red blood cell (RBC), hemoglobin (HGB), hematocrit (HCT), and platelet (PLT) ( n = 3). Data represented as mean ± SD. (* p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001; NS represents non‐significance).

Article Snippet: Streptavidin Conjugation Kit‐Lightning‐Link (Abcam, ab102921). siRNAs (sense 5’‐3’ CACCGAAGAAAUGUUUGUGAATT; sense 5’‐3’ CCAUACGAAUAAGAGAAUCAUTT) were purchased from Shanghai Sangon Biotechnology Co., Ltd. Quantum R‐PE MESF Medium Level (FCSC827B) was from Bio‐Rad Laboratories, Inc. PE anti‐human/mouse/rat CD47 antibody (E‐AB‐F1016D) was purchased from Elabscience (Wuhan, China).

Techniques: Modification, Conjugation Assay, SDS Page

Tumor cells inhibit DCs through SIRPα-CD47 (A) Protein kinase/phosphatase-related GSEA pathways significantly enriched in B16-F10-cocultured DCs (co-DCs) compared with untreated DCs (iDCs). (B) qPCR analysis comparing iDCs and co-DCs cocultured with B16-F10 cells for 48 h. These genes participate in the ITIM/ITAM downstream pathway; n = 3. (C) Representative western blot pictures (left) and quantitative statistics (right) of the phosphorylation of SIRPα-related downstream kinases; n = 3. (D) Heatmap of top 10 changes in ITIM-containing receptors between the co-DC and the iDC group. (E) The immune checkpoint expression changes between co-DCs and the untreated iDC group; n = 6 in SIRPα, PD-1, and CTLA-4; n = 5 in TIM-3; n = 3 in PIR-B and CD33. (F) SIRPα-KO mouse- or wild-type (WT) mouse-derived DCs were cocultured with B16-F10 cells, and the maturation of CD11c + DCs was determined by flow cytometry; n = 3. (G and H) WT mouse-derived DCs were cocultured with B16-F10-WT or B16-F10-CD47 KO cells at a 3:1 ratio for 48 h. The proportion of cells with high expression levels of CD80, CD86, and CD83 (G) and secretion levels of TNF-α (H) was determined to assess the DC activation/maturation phenotype; n = 3 in per group. (I–L) C57BL/6J mice were implanted subcutaneously in the right flank with B16-F10 cells on day 0 and administered one dose of vehicle, oncolysate-stimulated DC vaccine, or oncolysate-stimulated SIRPα-KO DC vaccine by intratumoral injection on day 6 (tumor volumes were approximately 50 mm 3 ). (I) The levels of TNF-α and IL-12 in the tumor interstitial fluid. On the fifth day after treatment, fresh tumor tissues were collected, weighed, and incubated at 37°C for 2 h in 1 mL of PBS per gram of tumor tissue to obtain the tumor interstitial fluid for ELISA; n = 5. (K) Tumor growth curves and (L) Kaplan-Meier survival curves are shown; n = 6. (M–O) C57BL/6J mice were implanted subcutaneously in the right flank with B16-F10-WT or B16-F10-CD47 KO cells on day 0 and administered one dose of vehicle or B16-F10 oncolysate-stimulated DC vaccine by intratumoral injection on day 6. (N) Tumor growth curves (n = 6) and (O) Kaplan-Meier survival curves (n = 7) are shown. The p values were determined by unpaired Student’s t test (B, C, E), one-way ANOVA (F–I), one-way ANOVA at the final time point (K, N), or log rank test (L, O). n.s., not significant; ∗p < 0.05; ∗∗p < 0.01; ∗∗∗p < 0.001.

Journal: Cell Reports Medicine

Article Title: Oncolytic virus M1 functions as a bifunctional checkpoint inhibitor to enhance the antitumor activity of DC vaccine

doi: 10.1016/j.xcrm.2023.101229

Figure Lengend Snippet: Tumor cells inhibit DCs through SIRPα-CD47 (A) Protein kinase/phosphatase-related GSEA pathways significantly enriched in B16-F10-cocultured DCs (co-DCs) compared with untreated DCs (iDCs). (B) qPCR analysis comparing iDCs and co-DCs cocultured with B16-F10 cells for 48 h. These genes participate in the ITIM/ITAM downstream pathway; n = 3. (C) Representative western blot pictures (left) and quantitative statistics (right) of the phosphorylation of SIRPα-related downstream kinases; n = 3. (D) Heatmap of top 10 changes in ITIM-containing receptors between the co-DC and the iDC group. (E) The immune checkpoint expression changes between co-DCs and the untreated iDC group; n = 6 in SIRPα, PD-1, and CTLA-4; n = 5 in TIM-3; n = 3 in PIR-B and CD33. (F) SIRPα-KO mouse- or wild-type (WT) mouse-derived DCs were cocultured with B16-F10 cells, and the maturation of CD11c + DCs was determined by flow cytometry; n = 3. (G and H) WT mouse-derived DCs were cocultured with B16-F10-WT or B16-F10-CD47 KO cells at a 3:1 ratio for 48 h. The proportion of cells with high expression levels of CD80, CD86, and CD83 (G) and secretion levels of TNF-α (H) was determined to assess the DC activation/maturation phenotype; n = 3 in per group. (I–L) C57BL/6J mice were implanted subcutaneously in the right flank with B16-F10 cells on day 0 and administered one dose of vehicle, oncolysate-stimulated DC vaccine, or oncolysate-stimulated SIRPα-KO DC vaccine by intratumoral injection on day 6 (tumor volumes were approximately 50 mm 3 ). (I) The levels of TNF-α and IL-12 in the tumor interstitial fluid. On the fifth day after treatment, fresh tumor tissues were collected, weighed, and incubated at 37°C for 2 h in 1 mL of PBS per gram of tumor tissue to obtain the tumor interstitial fluid for ELISA; n = 5. (K) Tumor growth curves and (L) Kaplan-Meier survival curves are shown; n = 6. (M–O) C57BL/6J mice were implanted subcutaneously in the right flank with B16-F10-WT or B16-F10-CD47 KO cells on day 0 and administered one dose of vehicle or B16-F10 oncolysate-stimulated DC vaccine by intratumoral injection on day 6. (N) Tumor growth curves (n = 6) and (O) Kaplan-Meier survival curves (n = 7) are shown. The p values were determined by unpaired Student’s t test (B, C, E), one-way ANOVA (F–I), one-way ANOVA at the final time point (K, N), or log rank test (L, O). n.s., not significant; ∗p < 0.05; ∗∗p < 0.01; ∗∗∗p < 0.001.

Article Snippet: CD47 EasyEdit sgRNA , GenScript , CCCTTGCATCGTCCGTAATG.

Techniques: Western Blot, Phospho-proteomics, Expressing, Derivative Assay, Flow Cytometry, Activation Assay, Injection, Incubation, Enzyme-linked Immunosorbent Assay

OVM enhances the therapeutic efficacy of DC vaccine by downregulating the expression of SIRPα and CD47 (A and B) The (A) mRNA levels and (B) MFI values of CD47 in tumor cells that were infected with OVM for 24 h. (C) Sirpa expression changes in B16-F10-cocultured co-DCs and OVM-treated co-DCs; n = 3 in (A)–(C). (D) MFI values of SIRPα on DCs that were co-cultured with B16-F10, CT-26, or HCT-8 cells for 48 h or cocultured with tumor cells for 24 h and then treated with vehicle (Ctrl) or OVM (1 MOI) for another 24 h. (E and F) C57BL/6J mice were implanted subcutaneously in the right flank with B16-F10 cells on day 0 and administered accordingly with vehicle, OVM, B16-F10 oncolysate-stimulated DC vaccine, or OVM plus DC vaccine. (E) Schematic diagram of tumor inoculation and treatment. (F) The MFI of CD47 on live cells and the MFI of SIRPα on SIRPα + DCs (gate: CD45 + CD11c + MHC II + CD103 - CD11b + SIRPα + ) in the TME and spleen (gate: CD45 + CD11c + MHC II + SIRPα + ) of B16-F10 tumor-bearing mice treated with vehicle (n = 5 or 6) or OVM (n = 6). (G) MFI of SIRPα on the surface of SIRPα + DCs (gate: CD45 + CD11c + MHC II + CD103 - CD11b + SIRPα + ) in the TME from B16-F10 tumor bearing C57BL/6J mice treated with vehicle (n = 6), OVM (n = 7), B16-F10 oncolysate-stimulated DC vaccine (n = 9), or OVM plus DC vaccine (n = 8). These data are presented as the means ± SD and were analyzed by one-way ANOVA (A, B, and G) and unpaired Student’s t test (C, D, and F). (H and I) B16-F10-WT tumor-bearing C57BL/6J mice were treated with vehicle, OVM, OVM plus B16-F10 oncolysate-stimulated DC vaccine, or OVM combined with B16-F10 oncolysate-activated SIRPα-KO DC vaccine. B16-F10-CD47-KO tumor-bearing C57BL/6J mice were treated with vehicle, OVM, or OVM plus DC vaccine; n = 7. (H) Schematic diagram of the treatment regimen of B16-F10-WT and B16-F10-CD47-KO tumor-bearing C57BL/6J mice. (I) Tumor growth curves. The p values were determined by one-way ANOVA at the final time point. (J) The T:C ratios of B16-F10 and B16-F10-CD47-KO tumor-bearing mice from graph (I) and <xref ref-type=Figure S10 E after receiving the corresponding treatments. n.s., not significant; ∗p < 0.05; ∗∗p < 0.01; ∗∗∗p < 0.001. " width="100%" height="100%">

Journal: Cell Reports Medicine

Article Title: Oncolytic virus M1 functions as a bifunctional checkpoint inhibitor to enhance the antitumor activity of DC vaccine

doi: 10.1016/j.xcrm.2023.101229

Figure Lengend Snippet: OVM enhances the therapeutic efficacy of DC vaccine by downregulating the expression of SIRPα and CD47 (A and B) The (A) mRNA levels and (B) MFI values of CD47 in tumor cells that were infected with OVM for 24 h. (C) Sirpa expression changes in B16-F10-cocultured co-DCs and OVM-treated co-DCs; n = 3 in (A)–(C). (D) MFI values of SIRPα on DCs that were co-cultured with B16-F10, CT-26, or HCT-8 cells for 48 h or cocultured with tumor cells for 24 h and then treated with vehicle (Ctrl) or OVM (1 MOI) for another 24 h. (E and F) C57BL/6J mice were implanted subcutaneously in the right flank with B16-F10 cells on day 0 and administered accordingly with vehicle, OVM, B16-F10 oncolysate-stimulated DC vaccine, or OVM plus DC vaccine. (E) Schematic diagram of tumor inoculation and treatment. (F) The MFI of CD47 on live cells and the MFI of SIRPα on SIRPα + DCs (gate: CD45 + CD11c + MHC II + CD103 - CD11b + SIRPα + ) in the TME and spleen (gate: CD45 + CD11c + MHC II + SIRPα + ) of B16-F10 tumor-bearing mice treated with vehicle (n = 5 or 6) or OVM (n = 6). (G) MFI of SIRPα on the surface of SIRPα + DCs (gate: CD45 + CD11c + MHC II + CD103 - CD11b + SIRPα + ) in the TME from B16-F10 tumor bearing C57BL/6J mice treated with vehicle (n = 6), OVM (n = 7), B16-F10 oncolysate-stimulated DC vaccine (n = 9), or OVM plus DC vaccine (n = 8). These data are presented as the means ± SD and were analyzed by one-way ANOVA (A, B, and G) and unpaired Student’s t test (C, D, and F). (H and I) B16-F10-WT tumor-bearing C57BL/6J mice were treated with vehicle, OVM, OVM plus B16-F10 oncolysate-stimulated DC vaccine, or OVM combined with B16-F10 oncolysate-activated SIRPα-KO DC vaccine. B16-F10-CD47-KO tumor-bearing C57BL/6J mice were treated with vehicle, OVM, or OVM plus DC vaccine; n = 7. (H) Schematic diagram of the treatment regimen of B16-F10-WT and B16-F10-CD47-KO tumor-bearing C57BL/6J mice. (I) Tumor growth curves. The p values were determined by one-way ANOVA at the final time point. (J) The T:C ratios of B16-F10 and B16-F10-CD47-KO tumor-bearing mice from graph (I) and Figure S10 E after receiving the corresponding treatments. n.s., not significant; ∗p < 0.05; ∗∗p < 0.01; ∗∗∗p < 0.001.

Article Snippet: CD47 EasyEdit sgRNA , GenScript , CCCTTGCATCGTCCGTAATG.

Techniques: Drug discovery, Expressing, Infection, Cell Culture

Journal: Cell Reports Medicine

Article Title: Oncolytic virus M1 functions as a bifunctional checkpoint inhibitor to enhance the antitumor activity of DC vaccine

doi: 10.1016/j.xcrm.2023.101229

Figure Lengend Snippet:

Article Snippet: CD47 EasyEdit sgRNA , GenScript , CCCTTGCATCGTCCGTAATG.

Techniques: Control, Recombinant, Staining, Selection, Isolation, Red Blood Cell Lysis, Enzyme-linked Immunosorbent Assay, Reverse Transcription, SYBR Green Assay, RNA Sequencing, Software

Western blot analysis of CD47 and TSP-1 expression levels (A,B) during cold ischemia and (C,D) 48 hours after OLT. A significant elevation of CD47 protein with little change in TSP-1 expression after cold ischemia was noted after 18 hours of cold ischemia in comparison with livers that were flushed and then immediately frozen. The expression of both CD47 and TSP-1 protein was reduced 48 hours after OLT in CD47mAb400-treated recipients versus the IgG group (P < 0.05).

Journal: Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society

Article Title: CD47 Blockade Reduces Ischemia/Reperfusion Injury and Improves Survival in a Rat Liver Transplantation Model

doi: 10.1002/lt.24059

Figure Lengend Snippet: Western blot analysis of CD47 and TSP-1 expression levels (A,B) during cold ischemia and (C,D) 48 hours after OLT. A significant elevation of CD47 protein with little change in TSP-1 expression after cold ischemia was noted after 18 hours of cold ischemia in comparison with livers that were flushed and then immediately frozen. The expression of both CD47 and TSP-1 protein was reduced 48 hours after OLT in CD47mAb400-treated recipients versus the IgG group (P < 0.05).

Article Snippet: After hepatectomy, the donor liver was flushed via the portal vein with 10 mL of cold (4 °C) normal saline, which was followed by 10 mL of cold University of Wisconsin (UW) solution containing either a mouse anti-CD47 monoclonal antibody, CD47mAb400 (Vasculox, Inc., St. Louis, MO), or an isotype matched-control mouse immunoglobulin G 2a (IgG2a) at a dose of 1 μg/g liver weight.

Techniques: Western Blot, Expressing