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Image Search Results
Journal: Frontiers in Bioengineering and Biotechnology
Article Title: Reconstruction of the human nipple–areolar complex: a tissue engineering approach
doi: 10.3389/fbioe.2023.1295075
Figure Lengend Snippet: Human fibroblast seeding on the hypodermal side of d-NACs. (A) H&E staining of adherent human fibroblasts (arrows) on the acellular hypodermal side and, in some locations, adherent to the epidermal side of d-NACs after 7 days of static culture (scale bar = 200 μm). (A’) Higher magnification of the H&E-stained section highlighting adherent fibroblasts forming several cell layers on the hypodermal side of the scaffold (scale bar = 100 μm). (B) Live/dead staining of seeded fibroblasts shows a high viability on day 7 of the culture on the scaffold (living cells = green and dead cells = red) (scale bar = 500 μm). (C) Cell viability of the seeded dermis: ECM- red and control wells- blue. The results are expressed as the mean cell viability. Error bars: SD; ns = not significant. (D) A PrestoBlue cell viability assay realized on seeded d-NACs (red, n = 3) and control culture wells (blue, n = 3) attests the biocompatibility of the produced scaffolds by the increase in metabolic activity during the 7 days of culture. The results are expressed as the mean fluorescence intensity. Error bars: SD; ** p < 0.01; ns = not significant.
Article Snippet: HFs were mixed in a
Techniques: Staining, Control, Viability Assay, Produced, Activity Assay, Fluorescence
Journal: Frontiers in Bioengineering and Biotechnology
Article Title: Reconstruction of the human nipple–areolar complex: a tissue engineering approach
doi: 10.3389/fbioe.2023.1295075
Figure Lengend Snippet:
Article Snippet: HFs were mixed in a
Techniques: Immunofluorescence, Immunohistochemistry, Immunopeptidomics, Saline, Standard Deviation
Journal: Cell Reports Medicine
Article Title: Personalized drug screening using patient-derived organoid and its clinical relevance in gastric cancer
doi: 10.1016/j.xcrm.2024.101627
Figure Lengend Snippet:
Article Snippet:
Techniques: Recombinant, Staining, TUNEL Assay, Software
Journal: Advanced Science
Article Title: Decoding the Cardiac Immune Microenvironment and Fibroblast Crosstalk in Radiotherapy Combined with Immunotherapy‐Induced Cardiac Fibrosis Based on Single‐Cell Transcriptomic Analysis
doi: 10.1002/advs.202519216
Figure Lengend Snippet: Cardiac fibroblasts exhibit significant pro‐fibrotic and pro‐inflammatory properties in mouse hearts subjected to ICI combined with CIR. (A) UMAP visualization of scRNA‐seq from fibroblasts in mouse hearts treated with ICI or/and CIR. (B) The proportion of fibroblast subclusters in mice hearts across 12 mouse heart samples from Con, ICI, IR, and iRT groups (left), and after merging by intervention group (right). (C) The number of DEGs in fibroblast subtypes of the mouse hearts for ICl vs Con, IR vs Con, and iRT vs Con. Red blocks represent upregulated genes, while teal blocks represent downregulated genes. (D) Stacked violin plot of the top 3 marker genes for fibroblast subtypes. (E) Heatmap of expression levels of extracellular matrix (ECM) molecules in fibroblasts from Con, ICI, IR, and iRT groups. (F) The box plots showing differential expression levels of pro‐fibrotic and fibrinolysis‐related factors in fibroblasts from cardiac tissues of Con, ICI, IR, and iRT groups. (G) The pro‐fibrotic interaction diagram of fibroblasts acting as receptor cells with other cell types in the iRT group. (H) The chemokine interaction diagram of fibroblasts acting as ligand cells with other cell types in the iRT group. (I) The chord diagram of the cell‐cell interactions networks of CCL, CXCL, and VCAM signaling pathway network in the iRT group. Data are presented as box plots showing the median, interquartile range, and potential outliers. Differences between groups were assessed using the nonparametric Wilcoxon rank‐sum test (F). ns: not significant, * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001.
Article Snippet:
Techniques: Marker, Expressing, Quantitative Proteomics
Journal: Advanced Science
Article Title: Decoding the Cardiac Immune Microenvironment and Fibroblast Crosstalk in Radiotherapy Combined with Immunotherapy‐Induced Cardiac Fibrosis Based on Single‐Cell Transcriptomic Analysis
doi: 10.1002/advs.202519216
Figure Lengend Snippet: The increased infiltrating macrophages demonstrated a notable effect in promoting the activation of fibroblasts in cardiac fibrosis treated with ICI and CIR. (A) UMAP visualization of scRNA‐seq from immune cells in mouse hearts treated with ICI or/and CIR. (B) The proportion of immune cell subtypes in mice hearts across 12 mouse heart samples from Con, ICI, IR, and iRT groups (left), and after merging by intervention group (right). (C) Heatmap of the top 100 DEGs in each subset identified through unsupervised clustering of all the immune cells. Blue indicates lower expression, and red indicates higher expression. The expression scale is shown on the right. (D) Immune cell infiltration was analyzed by immunohistochemistry. CD45 + was used as a marker for leukocytes, F4/80 + for macrophages, and CD4 + and CD8 + were used to identify CD4 + T lymphocytes and CD8 + T lymphocytes, respectively, scale bar = 100 µ m . (E) UMAP visualization of scRNA‐seq from macrophages in mouse hearts treated with ICI and/or CIR. (F) The proportion of macrophage subtypes in mice hearts across 12 mouse heart samples from Con, ICI, IR, and iRT groups (left), and after merging by intervention group (right). (G) The number of DEGs in macrophage subtypes of the mouse hearts for ICl vs Con, IR vs Con, and iRT vs Con. Red blocks represent upregulated genes, while teal blocks represent downregulated genes. (H) The KEGG enrichment analysis of upregulated genes of macrophage subtypes. (I) The chemokine interaction diagram of MPs acting as ligand cells with other cell types in the iRT group. (J) The box plots showing differential expression levels of pro‐fibrotic and fibrinolysis‐related factors in macrophages from cardiac tissues of Con, ICI, IR, and iRT groups. (K) The dot plots showing differential expression levels of pro‐fibrotic and fibrinolysis‐related factors across macrophage subtypes in the iRT group. (L) The box plots showing the expression scores of pro‐fibrotic gene sets in CCR2 + and CCR2 − macrophage clusters. Data are presented as mean ± SD, the one‐way ANOVA (D) were used to compare data. Data are presented as box plots showing the median, interquartile range, and potential outliers, differences between groups were assessed using the nonparametric Wilcoxon rank‐sum test (J, L). ns: not significant, * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001.
Article Snippet:
Techniques: Activation Assay, Expressing, Immunohistochemistry, Marker, Quantitative Proteomics
Journal: Advanced Science
Article Title: Decoding the Cardiac Immune Microenvironment and Fibroblast Crosstalk in Radiotherapy Combined with Immunotherapy‐Induced Cardiac Fibrosis Based on Single‐Cell Transcriptomic Analysis
doi: 10.1002/advs.202519216
Figure Lengend Snippet: Increased IL‐6 expression in the fibroblasts of mice in radioimmunotherapy‐induced cardiac fibrosis. (A) Trend analysis of differential gene expression in fibroblasts from Con, ICI, IR, and iRT groups, categorized into nine distinct expression pattern clusters. (B) Heatmap of the expression levels of the top 20 genes in cluster 1 across the four groups. (C) Distribution and expression of IL‐6 across nine cardiac cell types visualized in feature plot. (D) Distribution and expression of IL‐6 in fibroblasts among Con, ICI, IR, iRT groups visualized in the feature plot. (E) Immunofluorescence analysis of IL‐6 expression in mice cardiac tissues from Con, ICI, IR, and iRT groups at day 28 post‐treatment, scale bar = 50 µ m . (F) Quantification histogram of IL‐6 fluorescence intensity. (G) IL‐6 expression level of cardiac tissues in mice across four groups at day 28 post‐treatment detected by ELISA. (H) qRT‐PCR analysis of IL‐6 transcript levels in cardiac tissues from the four mouse groups at day 28 post‐treatment. (I) The post‐thoracic radiotherapy (post‐RT) and baseline (pre‐RT) of serum IL‐6 expression levels in 29 patients with malignant thoracic tumors were assessed by ELISA. (J) The post‐iRT(post‐iRT) and baseline (pre‐iRT) of serum IL‐6 expression levels in 15 patients with malignant thoracic tumors were assessed by ELISA. (K) Kaplan‐Meier curve showing overall survival in the cohort of 29 thoracic tumor patients. (L) Western blot analysis of Col1, Col3, α‐SMA, TGF‐β, and IL‐6 protein levels in primary mouse fibroblasts stimulated by murine IL‐6 cytokine with or without ruxolitinib for 48 h; quantitative analysis of protein expression levels. (M) qRT‐PCR analysis of IL‐6 transcript levels in primary mouse fibroblasts stimulated by murine IL‐6 cytokine with or without ruxolitinib for 48 h. (N) IF staining of α‐SMA, TGF‐β, Col1, and Col3 in primary mouse fibroblasts stimulated by murine IL‐6 cytokine with or without ruxolitinib for 48 h, scale bar = 50 µ m ; quantitative histograms of corresponding markers. Data are presented as mean ± SD. The Kaplan‒Meier method was used to assess patient survival (K). Differences between groups were assessed using the one‐way ANOVA (F, G, H, L, M, N) and the Wilcoxon signed‐rank test (I,J). ns: not significant, * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001.
Article Snippet:
Techniques: Expressing, Gene Expression, Immunofluorescence, Fluorescence, Enzyme-linked Immunosorbent Assay, Quantitative RT-PCR, Western Blot, Staining
Journal: Advanced Science
Article Title: Decoding the Cardiac Immune Microenvironment and Fibroblast Crosstalk in Radiotherapy Combined with Immunotherapy‐Induced Cardiac Fibrosis Based on Single‐Cell Transcriptomic Analysis
doi: 10.1002/advs.202519216
Figure Lengend Snippet: IL‐6 positive fibroblasts involved in promoting cardiac inflammation and fibrosis. (A) UMAP visualization of scRNA‐seq from IL‐6 + and IL‐6 − fibroblasts in mouse hearts treated with ICI or/and CIR. (B) Heatmap of the top 20 DEGs between IL‐6 + and IL‐6 − fibroblasts identified through unsupervised clustering. Blue indicates lower expression, and yellow indicates higher expression. The expression scale is shown on the right. (C) The box plots showing the expression scores of pro‐fibrotic and ECM gene sets in IL‐6 + and IL‐6 − fibroblast clusters. (D) The immunofluorescence co‐localization analysis of inflammatory factor IL‐6 with leukocytes (CD45 + ), macrophages (F4/80 + ), CD8 + T cells, CD4 + T cells, cardiomyocytes (cTnI + ), fibroblasts (Vim + ), and endothelial cells (CD31 + ), scale bar = 50 µ m ; (E) The statistical column plots represent the comparison of colocalization scores among various indicators. (F) Network diagram depicting the interaction frequency between IL‐6 + fibroblasts and other cardiac cell types in Con, ICI, IR, and iRT groups. Line width represents the number of the ligand–receptor pairs. (G) The chemokine interaction diagram of IL‐6 + fibroblasts acting as ligand cells with other cell types in the iRT group. (H) Schematic of the experimental design for radioimmunotherapy in IL‐6 wild‐type (WT) and IL‐6 knockout (KO) mice ( n = 4 per group). (I) qRT‐PCR analysis of IL‐6 transcript levels in cardiac tissues from WT and IL‐6 KO mice. (J) Western blot analysis of Col1, Col3, TGF‐β, α‐SMA, and IL‐6 protein expression in hearts of WT and IL‐6 KO mice treated with radioimmunotherapy; quantitative analysis of protein expression levels ( n = 3 per group). (K) Representative multiplex immunofluorescence images of cardiac tissues from WT and IL‐6 KO mice after combined radioimmunotherapy, scale bar = 50 µ m . (L) Single‐channel immunofluorescence validation and quantitative analysis of the markers in cardiac tissues from WT and IL‐6 KO mice after combined radioimmunotherapy. Staining markers: DAPI (nuclei, blue), Col1 (green), Col3 (yellow), Fibronectin 1 (orange), TGF‐β (red), CD3 (T cells, brown), F4/80 (macrophages, light blue), scale bar = 50 µ m ; the corresponding quantitative histograms of each marker are shown. Data are presented as mean ± SD. The unpaired t‐test (I, J, L) and the one‐way ANOVA (E) was performed to compare data. Data are presented as box plots showing the median, interquartile range, and potential outliers, differences between groups were assessed using the nonparametric Wilcoxon rank‐sum test (C). ns: not significant, * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001.
Article Snippet:
Techniques: Expressing, Immunofluorescence, Comparison, Knock-Out, Quantitative RT-PCR, Western Blot, Multiplex Assay, Biomarker Discovery, Staining, Marker
Journal: Advanced Science
Article Title: Decoding the Cardiac Immune Microenvironment and Fibroblast Crosstalk in Radiotherapy Combined with Immunotherapy‐Induced Cardiac Fibrosis Based on Single‐Cell Transcriptomic Analysis
doi: 10.1002/advs.202519216
Figure Lengend Snippet: Tocilizumab attenuates radioimmunotherapy‐induced cardiac injury and fibrosis via the bulk and single‐cell transcriptomic profiling. (A) Schematic of the of IL‐6 receptor (IL‐6 RA) inhibitor tocilizumab intervention in radioimmunotherapy‐induced cardiac injury mouse model. (B) Survival curves of mice over day 28 in Con, iRT, and Toci groups. Data are presented as Kaplan‐Meier survival curves, statistical analysis was performed using the Log‐rank test ( n = 8 per group). No significant difference in survival rate was observed among the three groups ( p = 0.14). Two cases of acute death occurred in the iRT group, while no mortality was detected in the control and Toci groups. (C) Body weight changes of mice in Con, iRT, and Toci groups at day 28 ( n = 6 per group). (D) HE and Masson's trichrome staining for estimating cardiac injury and fibrosis in Con, iRT, and Toci mice cardiac tissue at day 28 post‐treatment, scale bar = 50 µm. (E) Immunofluorescence analysis of IL‐6 expression levels in mice myocardial tissues from Con, iRT, and Toci groups, scale bar = 50 µ m ; quantification histogram of IL‐6 immunofluorescence intensity. (F) Cardiac tissue IL‐6 expression levels detected by ELISA in mice from Con, iRT, and Toci groups at day 28 ( n = 3 per group). (G) qRT‐PCR analysis of IL‐6 transcript levels in cardiac tissues from Con, iRT, and Toci groups at day 28 post‐treatment ( n = 3 per group). (H) Immunofluorescence staining of α‐SMA, TGF‐β, Col1, and Col3 in cardiac tissues of Con, iRT, and Toci groups at day 28 post‐intervention, scale bar = 50 µ m ; quantitative histograms of corresponding markers. (I) Western blot analysis of Col1, Col3, α‐SMA, and TGF‐β protein levels in myocardial tissues from Con, iRT, and Toci groups at day 28 post‐intervention; quantitative analysis of protein expression levels ( n = 3 per group). (J) Heatmap of the DEGs in cardiac tissues from Toci vs iRT groups based on bulk transcriptome analysis ( n = 3 per group). Blue indicates lower expression, and red indicates higher expression. The expression scale is shown on the right. (K) Expression scores of profibrotic and ECM gene sets from bulk transcriptomic analysis in Con, iRT, and Toci groups at day 28. (L) The dot plot showing IL‐6 expression levels across nine cardiac cell types in Con, iRT, and Toci groups ( n = 3 per group) based on scRNA‐seq. (M) Proportion analysis of IL‐6 + and IL‐6 − fibroblasts in Con, iRT, and Toci groups from scRNA‐seq data. (N) The heatmap displaying expression levels of ECM molecules (left) and profibrotic/fibrinolysis‐related factors (right) in fibroblasts across the three groups based on scRNA‐seq. (O) The dot plot showing IL‐6RA expression across nine cardiac cell types in Con, iRT, and Toci groups based on scRNA‐seq. (P) Proportion analysis of CCR2 + and CCR2 − macrophages in cardiac tissues across the three groups based on scRNA‐seq. (Q) Heatmap of IL‐6 signaling pathway interactions among cardiac cell types in iRT (upper) and Toci (lower) groups based on scRNA‐seq. Data are presented as mean ± SD. Differences between groups were assessed using the one‐way ANOVA (E, F, G, H, I, K), and the nonparametric Wilcoxon rank‐sum test (M, P). ns: not significant, * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001.
Article Snippet:
Techniques: Single Cell, Control, Staining, Immunofluorescence, Expressing, Enzyme-linked Immunosorbent Assay, Quantitative RT-PCR, Western Blot