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human breast tissue sections (Advanced Cell Diagnostics Inc)

Name: human breast tissue sections
Brand: Advanced Cell Diagnostics Inc
Rating: 91 (15 reviews)

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Advanced Cell Diagnostics Inc human breast tissue sections

a Sankey diagram (left panel), showing the scmap cluster projection of annotated (peri-) tumoral <t>breast-derived</t> ECs (left part; n = 8433 endothelial cells) to subclusters of the EC taxonomy in non-small cell lung carcinoma (right part) and box plots (right panel) depicting the scmap similarity index. PCV post-capillary venules, EC endothelial cell, LS lower sequencing depth. Boxes extend from the 25 th to 75 th percentiles, line in the middle of the box is plotted at the median. Whiskers = min and max. b Three-dimensional principal component (PC) analysis on the pairwise Jaccard similarity coefficients of marker genes between EC subtypes in lung and breast. Color coding according to EC subtypes (lung – squares; breast – circles). c Venn-diagrams of the top-50 marker genes in the indicated EC subtypes in lung and breast ECs. Numbers in the middle reflect genes congruently ranking in the top-50 in both tissues. d Heatmap of the expression levels of the indicated immunoregulatory genes in the different breast EC subtypes. Venous EC subtypes are indicated by dashed lines. Color scale: red – high expression, blue – low expression. e Quantification of HLA-DR signal in ACKR1 + CD105 + pNEC and TEC represented as a percentage of the CD105 + vessel area. Data are mean ± SEM, n = 7, * p < 0.05 (exact p -value = 0.0045), paired t-test (two-tailed). f Representative micrographs of <t>human</t> breast peri-tumoral (left) and tumoral (right) <t>tissue</t> <t>sections,</t> immunostained for CD105 and HLA-DR, stained for ACKR1 by RNAscope and counterstained with Hoechst ( n = 7). Brightness was decreased linearly (gamma = 1) to improve visibility for ACKR1 and CD105. Scale bar: 10 µm.

Human Breast Tissue Sections, supplied by Advanced Cell Diagnostics Inc, used in various techniques. Bioz Stars score: 91/100, based on 15 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 91 stars, based on 15 article reviews

human breast tissue sections - by Bioz Stars, 2026-03

91/100 stars

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1) Product Images from "Single cell atlas identifies lipid-processing and immunomodulatory endothelial cells in healthy and malignant breast"

Article Title: Single cell atlas identifies lipid-processing and immunomodulatory endothelial cells in healthy and malignant breast

Journal: Nature Communications

doi: 10.1038/s41467-022-33052-y

a Sankey diagram (left panel), showing the scmap cluster projection of annotated (peri-) tumoral breast-derived ECs (left part; n = 8433 endothelial cells) to subclusters of the EC taxonomy in non-small cell lung carcinoma (right part) and box plots (right panel) depicting the scmap similarity index. PCV post-capillary venules, EC endothelial cell, LS lower sequencing depth. Boxes extend from the 25 th to 75 th percentiles, line in the middle of the box is plotted at the median. Whiskers = min and max. b Three-dimensional principal component (PC) analysis on the pairwise Jaccard similarity coefficients of marker genes between EC subtypes in lung and breast. Color coding according to EC subtypes (lung – squares; breast – circles). c Venn-diagrams of the top-50 marker genes in the indicated EC subtypes in lung and breast ECs. Numbers in the middle reflect genes congruently ranking in the top-50 in both tissues. d Heatmap of the expression levels of the indicated immunoregulatory genes in the different breast EC subtypes. Venous EC subtypes are indicated by dashed lines. Color scale: red – high expression, blue – low expression. e Quantification of HLA-DR signal in ACKR1 + CD105 + pNEC and TEC represented as a percentage of the CD105 + vessel area. Data are mean ± SEM, n = 7, * p < 0.05 (exact p -value = 0.0045), paired t-test (two-tailed). f Representative micrographs of human breast peri-tumoral (left) and tumoral (right) tissue sections, immunostained for CD105 and HLA-DR, stained for ACKR1 by RNAscope and counterstained with Hoechst ( n = 7). Brightness was decreased linearly (gamma = 1) to improve visibility for ACKR1 and CD105. Scale bar: 10 µm.

Figure Legend Snippet: a Sankey diagram (left panel), showing the scmap cluster projection of annotated (peri-) tumoral breast-derived ECs (left part; n = 8433 endothelial cells) to subclusters of the EC taxonomy in non-small cell lung carcinoma (right part) and box plots (right panel) depicting the scmap similarity index. PCV post-capillary venules, EC endothelial cell, LS lower sequencing depth. Boxes extend from the 25 th to 75 th percentiles, line in the middle of the box is plotted at the median. Whiskers = min and max. b Three-dimensional principal component (PC) analysis on the pairwise Jaccard similarity coefficients of marker genes between EC subtypes in lung and breast. Color coding according to EC subtypes (lung – squares; breast – circles). c Venn-diagrams of the top-50 marker genes in the indicated EC subtypes in lung and breast ECs. Numbers in the middle reflect genes congruently ranking in the top-50 in both tissues. d Heatmap of the expression levels of the indicated immunoregulatory genes in the different breast EC subtypes. Venous EC subtypes are indicated by dashed lines. Color scale: red – high expression, blue – low expression. e Quantification of HLA-DR signal in ACKR1 + CD105 + pNEC and TEC represented as a percentage of the CD105 + vessel area. Data are mean ± SEM, n = 7, * p < 0.05 (exact p -value = 0.0045), paired t-test (two-tailed). f Representative micrographs of human breast peri-tumoral (left) and tumoral (right) tissue sections, immunostained for CD105 and HLA-DR, stained for ACKR1 by RNAscope and counterstained with Hoechst ( n = 7). Brightness was decreased linearly (gamma = 1) to improve visibility for ACKR1 and CD105. Scale bar: 10 µm.

Techniques Used: Derivative Assay, Sequencing, Marker, Expressing, Two Tailed Test, Staining, RNAscope

a UMAP-plot of T-/NK cells color coded by subcluster. NK natural killer. b Heatmap of the expression levels of canonical marker genes of T-/NK cell (sub-)types. Color scale: red – high expression, blue – low expression. c UMAP-plot of myeloid cells color coded by subcluster. TR tissue resident, LS lower sequencing depth. d Heatmap of the expression levels of canonical genes in myeloid cells. Color scale: red – high expression, blue – low expression. TAM tumor associated macrophages. e Schematic overview of the receptor ligand interaction analysis. Clusters containing <100 cells: mast cells, plasma cells and plasmacytoid dendritic cells. EC endothelial cell, LFC log fold change, RLI receptor ligand interaction. f Circos plots representing RLI analysis between angiogenic/venous ECs and immune cells. Receptor is expressed on immune cell subclusters, ligand is expressed on angiogenic ECs (left panel) or venous ECs (right panel). Plots are color coded for the receptor–ligand pairs (arrows, gene names) and immune cell subclusters expressing the receptor (bars perpendicular to inner circle). Previously unknown RLI pairs between ECs and specific immune cell subtypes are indicated in bold (genes) and with asterisks (subclusters). g Representative micrographs of human breast tumoral tissue sections, immunostained for CD105 and CLEC2B (left panels) or CD16 and KLRF1 (right panels) and counterstained with Hoechst ( n = 8). Middle panels: magnifications of the white boxed areas in the upper panels. Bottom panels: magnifications of the orange boxed areas in the upper panels. Dotted white line indicates a CLEC2B + blood vessel, dotted orange lines indicate KLRF1 + NK cells in the vicinity of the blood vessel. Scale bar: 50 µm.

Figure Legend Snippet: a UMAP-plot of T-/NK cells color coded by subcluster. NK natural killer. b Heatmap of the expression levels of canonical marker genes of T-/NK cell (sub-)types. Color scale: red – high expression, blue – low expression. c UMAP-plot of myeloid cells color coded by subcluster. TR tissue resident, LS lower sequencing depth. d Heatmap of the expression levels of canonical genes in myeloid cells. Color scale: red – high expression, blue – low expression. TAM tumor associated macrophages. e Schematic overview of the receptor ligand interaction analysis. Clusters containing <100 cells: mast cells, plasma cells and plasmacytoid dendritic cells. EC endothelial cell, LFC log fold change, RLI receptor ligand interaction. f Circos plots representing RLI analysis between angiogenic/venous ECs and immune cells. Receptor is expressed on immune cell subclusters, ligand is expressed on angiogenic ECs (left panel) or venous ECs (right panel). Plots are color coded for the receptor–ligand pairs (arrows, gene names) and immune cell subclusters expressing the receptor (bars perpendicular to inner circle). Previously unknown RLI pairs between ECs and specific immune cell subtypes are indicated in bold (genes) and with asterisks (subclusters). g Representative micrographs of human breast tumoral tissue sections, immunostained for CD105 and CLEC2B (left panels) or CD16 and KLRF1 (right panels) and counterstained with Hoechst ( n = 8). Middle panels: magnifications of the white boxed areas in the upper panels. Bottom panels: magnifications of the orange boxed areas in the upper panels. Dotted white line indicates a CLEC2B + blood vessel, dotted orange lines indicate KLRF1 + NK cells in the vicinity of the blood vessel. Scale bar: 50 µm.

Techniques Used: Expressing, Marker, Sequencing, Clinical Proteomics

a Waterfall plot of top-15 up- and downregulated metabolic pathways in metabolic gene set enrichment analysis in TECs compared to pECs (gray – up in pEC, red – up in TEC). Asterisks mark gene sets involved in lipid metabolism. b Volcano plot showing differential metabolic gene expression analysis of pECs versus TECs. Key pEC-enriched marker genes involved in lipid metabolism are indicated. Gray, significant (adjusted p-value (Benjamini–Hochberg) < 0.05); dark blue, not significant. Differential expression analysis was performed using limma , the magnitude of differential expression (log2 fold change) and false discovery rate adjusted p -values (Benjamini–Hochberg) are provided on the x - and y -axis, respectively. c Dot plot heatmap of the gene expression levels within the LIPEC signature in breast EC subclusters. The color intensity of each dot represents the average level of marker gene expression, while the dot size reflects the percentage of cells expressing the marker within the subcluster. Color scale: red – high expression, blue – low expression. LIPEC lipid processing EC, TF transcription factor, LS lower sequencing depth. d Quantification of the FABP4 + CD105 + vessel area in peri-tumoral and tumoral breast tissue. Data are mean ± SEM, n = 7, ** p < 0.01 (exact p -value = 0.0014), two-tailed paired t-test. For a representative image of the stained peri-tumoral - tumor border, see Supplementary Fig. . e Dot plot heatmap of the expression of PPARG and LXRA (left panel) and their respective regulons from SCENIC analysis (right panel). The color intensity of each dot represents the average level of gene (left) or regulon (right) expression, while the dot size reflects the percentage of cells expressing the gene/regulon within the cell subcluster. Color scale: red – high expression, blue – low expression. f Quantification of the % of EC nuclei with positive PPARG staining by RNAscope in CD105 + FABP4 + vessels vs . CD105 + FABP4 − vessels in human breast tissue (tumor and peri-tumoral tissue pooled per patient). Data are mean ± SEM, n = 8, **** p < 0.0001 (exact p -value < 0.0001), two-tailed paired t-test. g Representative micrographs of human breast tumor tissue sections, immunostained for CD105 and stained for FABP4 and PPARG by RNAscope and counterstained with Hoechst ( n = 8). Right panels: magnifications of the boxed areas in the middle panels. Red arrows point to PPARG transcripts stained by RNAscope. Scale bar: 10 µm.

Figure Legend Snippet: a Waterfall plot of top-15 up- and downregulated metabolic pathways in metabolic gene set enrichment analysis in TECs compared to pECs (gray – up in pEC, red – up in TEC). Asterisks mark gene sets involved in lipid metabolism. b Volcano plot showing differential metabolic gene expression analysis of pECs versus TECs. Key pEC-enriched marker genes involved in lipid metabolism are indicated. Gray, significant (adjusted p-value (Benjamini–Hochberg) < 0.05); dark blue, not significant. Differential expression analysis was performed using limma , the magnitude of differential expression (log2 fold change) and false discovery rate adjusted p -values (Benjamini–Hochberg) are provided on the x - and y -axis, respectively. c Dot plot heatmap of the gene expression levels within the LIPEC signature in breast EC subclusters. The color intensity of each dot represents the average level of marker gene expression, while the dot size reflects the percentage of cells expressing the marker within the subcluster. Color scale: red – high expression, blue – low expression. LIPEC lipid processing EC, TF transcription factor, LS lower sequencing depth. d Quantification of the FABP4 + CD105 + vessel area in peri-tumoral and tumoral breast tissue. Data are mean ± SEM, n = 7, ** p < 0.01 (exact p -value = 0.0014), two-tailed paired t-test. For a representative image of the stained peri-tumoral - tumor border, see Supplementary Fig. . e Dot plot heatmap of the expression of PPARG and LXRA (left panel) and their respective regulons from SCENIC analysis (right panel). The color intensity of each dot represents the average level of gene (left) or regulon (right) expression, while the dot size reflects the percentage of cells expressing the gene/regulon within the cell subcluster. Color scale: red – high expression, blue – low expression. f Quantification of the % of EC nuclei with positive PPARG staining by RNAscope in CD105 + FABP4 + vessels vs . CD105 + FABP4 − vessels in human breast tissue (tumor and peri-tumoral tissue pooled per patient). Data are mean ± SEM, n = 8, **** p < 0.0001 (exact p -value < 0.0001), two-tailed paired t-test. g Representative micrographs of human breast tumor tissue sections, immunostained for CD105 and stained for FABP4 and PPARG by RNAscope and counterstained with Hoechst ( n = 8). Right panels: magnifications of the boxed areas in the middle panels. Red arrows point to PPARG transcripts stained by RNAscope. Scale bar: 10 µm.

Techniques Used: Gene Expression, Marker, Quantitative Proteomics, Expressing, Sequencing, Two Tailed Test, Staining, RNAscope

a Schematic overview of the survival analysis in the retrospective clinical cohort and immunostaining validation. UH university hospital, BC breast cancer, HER2 human epidermal growth factor receptor 2, BMI body mass index, HR hormone receptor status. Color coding in the clinical characteristics panel reflects differences in age, BMI, tumor stage & grade (Supplementary Data ). Color coding underneath the treatment stratification panel indicates patients that did (green) or did not (blue) receive metformin treatment during follow up. b Cumulative incidence function estimate of BC-specific survival (left panel) and the distant relapse free interval (right panel) in BC patients stratified by intake of a metformin. Color coded by group: blue – control, green – patients treated with metformin, purple – control matched for age, BMI, tumor stage & grade and hormone receptor status. P -values were calculated by the Kaplan–Meier (log rank) test between metformin therapy and without metformin therapy groups (blue for unmatched control patients; purple for matched control patients). Numbers in the boxes underneath the curves depict the number of patients per group that are at risk for the event (mortality in left panel, mortality/development of metastasis in right panel) at the indicated time points. c Quantification of FABP4 + blood vessels (% area of total CD105 + blood vessels) in non-diabetic BC patients ( n = 8) and in diabetic patients without ( n = 8) or with ( n = 9) metformin treatment. Data are mean ± SEM, ** p < 0.01 (exact p -values = 0.0030 and 0.0023, respectively), one-way ANOVA followed by Dunnett’s multiple comparisons test. d Representative micrographs of human breast tumor tissue sections in control non-diabetic (left; n = 8) or diabetic (middle; n = 8) control BC patients and in (diabetic) BC patients treated with metformin (right; n = 9), immunostained for CD105, FABP4 and counterstained with Hoechst. Arrowheads denote CD105 + FABP4 + vessels, asterisks denote (putative) adipocytes, which (besides LIPECs) are also positive for FABP4. Brightness was increased linearly (gamma = 1) to improve visibility for CD105 and FABP4. Scale bar: 75 µm.

Figure Legend Snippet: a Schematic overview of the survival analysis in the retrospective clinical cohort and immunostaining validation. UH university hospital, BC breast cancer, HER2 human epidermal growth factor receptor 2, BMI body mass index, HR hormone receptor status. Color coding in the clinical characteristics panel reflects differences in age, BMI, tumor stage & grade (Supplementary Data ). Color coding underneath the treatment stratification panel indicates patients that did (green) or did not (blue) receive metformin treatment during follow up. b Cumulative incidence function estimate of BC-specific survival (left panel) and the distant relapse free interval (right panel) in BC patients stratified by intake of a metformin. Color coded by group: blue – control, green – patients treated with metformin, purple – control matched for age, BMI, tumor stage & grade and hormone receptor status. P -values were calculated by the Kaplan–Meier (log rank) test between metformin therapy and without metformin therapy groups (blue for unmatched control patients; purple for matched control patients). Numbers in the boxes underneath the curves depict the number of patients per group that are at risk for the event (mortality in left panel, mortality/development of metastasis in right panel) at the indicated time points. c Quantification of FABP4 + blood vessels (% area of total CD105 + blood vessels) in non-diabetic BC patients ( n = 8) and in diabetic patients without ( n = 8) or with ( n = 9) metformin treatment. Data are mean ± SEM, ** p < 0.01 (exact p -values = 0.0030 and 0.0023, respectively), one-way ANOVA followed by Dunnett’s multiple comparisons test. d Representative micrographs of human breast tumor tissue sections in control non-diabetic (left; n = 8) or diabetic (middle; n = 8) control BC patients and in (diabetic) BC patients treated with metformin (right; n = 9), immunostained for CD105, FABP4 and counterstained with Hoechst. Arrowheads denote CD105 + FABP4 + vessels, asterisks denote (putative) adipocytes, which (besides LIPECs) are also positive for FABP4. Brightness was increased linearly (gamma = 1) to improve visibility for CD105 and FABP4. Scale bar: 75 µm.

Techniques Used: Immunostaining, Biomarker Discovery, Control

Image Search Results

Pathology classification, age and sex were provided by the vendor (BioChain). Each image spans the width of a standard charged microscope slide, where the tissue is visible under the paraffin skin. On-slide RNAPII-Ser5p FFPE-CUTAC was applied to slides in parallel, using a total of four slides each for 100 separate samples in all to produce the data analyzed in this study.

Journal: bioRxiv

Article Title: Direct measurement of RNA Polymerase II hypertranscription in cancer FFPE samples

doi: 10.1101/2024.02.28.582647

Figure Lengend Snippet: Pathology classification, age and sex were provided by the vendor (BioChain). Each image spans the width of a standard charged microscope slide, where the tissue is visible under the paraffin skin. On-slide RNAPII-Ser5p FFPE-CUTAC was applied to slides in parallel, using a total of four slides each for 100 separate samples in all to produce the data analyzed in this study.

Article Snippet: The following pairs of human tumor and adjacent normal 5 μm tissue sections from single FFPE blocks were purchased from Biochain, Inc: Breast Normal/Tumor cat. no. T8235086PP/PT; Colon Normal/Tumor cat. no. T8235090PP/PT; Kidney Normal/Tumor cat. no. T8235142PP/PT; Liver Normal/Tumor cat. no. T8235149PP/PT; Lung Normal/Tumor cat. no. T8235152PP/PT; Rectum Normal/Tumor cat. no. T8235206PP/PT; Stomach Normal/Tumor cat. no. T8235248PP/PT.

Techniques: Microscopy

Imaging protein:protein complexes in human cells, mouse proT cells, and FFPE human breast tissue sections. (A,B) Imaging β-catenin:E-cadherin target complex in A-431 cells expressing β-catenin and E-cadherin (panel A) or HeLa cells expressing N-cadherin instead of E-cadherin (panel B). (C,D) Imaging RUNX1:PU.1 target complex in Scid.adh.2C2 mouse proT cells retrovirally transduced with a PU.1-expressing vector (panel C) or an empty vector (panel D). (E,F) Imaging β-catenin:E-cadherin target complex in 5 μm FFPE human breast tissue sections from the same patient: normal (panel E) or invasive lobular carcinoma (panel F). All panels: confocal image; single optical section; 0.18 × 0.18 × 0.8 μm pixels (panels A–D) or 0.57 × 0.57 × 3.3 μm pixels (panels E,F). Signal-to-backround ratio for each row (mean ± SEM for representative regions of N = 3 replicate samples). See sections S2.2–S2.4 for additional data.

Journal: ACS Chemical Biology

Article Title: Multiplex, Quantitative, High-Resolution Imaging of Protein:Protein Complexes via Hybridization Chain Reaction

doi: 10.1021/acschembio.3c00431

Figure Lengend Snippet: Imaging protein:protein complexes in human cells, mouse proT cells, and FFPE human breast tissue sections. (A,B) Imaging β-catenin:E-cadherin target complex in A-431 cells expressing β-catenin and E-cadherin (panel A) or HeLa cells expressing N-cadherin instead of E-cadherin (panel B). (C,D) Imaging RUNX1:PU.1 target complex in Scid.adh.2C2 mouse proT cells retrovirally transduced with a PU.1-expressing vector (panel C) or an empty vector (panel D). (E,F) Imaging β-catenin:E-cadherin target complex in 5 μm FFPE human breast tissue sections from the same patient: normal (panel E) or invasive lobular carcinoma (panel F). All panels: confocal image; single optical section; 0.18 × 0.18 × 0.8 μm pixels (panels A–D) or 0.57 × 0.57 × 3.3 μm pixels (panels E,F). Signal-to-backround ratio for each row (mean ± SEM for representative regions of N = 3 replicate samples). See sections S2.2–S2.4 for additional data.

Article Snippet: HCR imaging of protein:protein complexes was performed in 5 μm FFPE normal human breast tissue sections (Acepix Biosciences, HuN-06-0027) and 5 μm FFPE invasive lobular carcinoma human breast tissue sections (Acepix Biosciences, HuC-06-0101) from the same patient using the protocol detailed in section S1.11 .

Techniques: Imaging, Expressing, Transduction, Plasmid Preparation

qHCR imaging: relative quantitation of protein:protein complexes with subcellular resolution in an anatomical context. (A) Two-channel redundant detection of a protein:protein complex: each target protein is detected by an unlabeled primary antibody probe and two batches of secondary antibody probes that interact with orthogonal proximity probes to colocalize full HCR initiators that trigger orthogonal spectrally distinct HCR amplifiers (Ch1, Alexa546; Ch2, Alexa647). (B) Two-channel confocal images; single optical sections. Top: β-catenin:E-cadherin complex in A-431 cells (0.18 × 0.18 × 0.8 μm pixels). Bottom: β-catenin:E-cadherin complex in a 5 μm FFPE normal human breast tissue section (0.57 × 0.57 × 3.3 μm pixels). (C) High accuracy and precision for protein:protein relative quantitation in an anatomical context. Highly correlated normalized signal (Pearson correlation coefficient, r ) for subcellular voxels in the indicated regions in panel B. Top: 2.0 × 2.0 × 0.8 μm voxels. Bottom: 2.0 × 2.0 × 3.3 μm voxels. Accuracy: linearity with zero intercept. Precision: scatter around the line. See section S2.6 for additional data.

Journal: ACS Chemical Biology

Article Title: Multiplex, Quantitative, High-Resolution Imaging of Protein:Protein Complexes via Hybridization Chain Reaction

doi: 10.1021/acschembio.3c00431

Figure Lengend Snippet: qHCR imaging: relative quantitation of protein:protein complexes with subcellular resolution in an anatomical context. (A) Two-channel redundant detection of a protein:protein complex: each target protein is detected by an unlabeled primary antibody probe and two batches of secondary antibody probes that interact with orthogonal proximity probes to colocalize full HCR initiators that trigger orthogonal spectrally distinct HCR amplifiers (Ch1, Alexa546; Ch2, Alexa647). (B) Two-channel confocal images; single optical sections. Top: β-catenin:E-cadherin complex in A-431 cells (0.18 × 0.18 × 0.8 μm pixels). Bottom: β-catenin:E-cadherin complex in a 5 μm FFPE normal human breast tissue section (0.57 × 0.57 × 3.3 μm pixels). (C) High accuracy and precision for protein:protein relative quantitation in an anatomical context. Highly correlated normalized signal (Pearson correlation coefficient, r ) for subcellular voxels in the indicated regions in panel B. Top: 2.0 × 2.0 × 0.8 μm voxels. Bottom: 2.0 × 2.0 × 3.3 μm voxels. Accuracy: linearity with zero intercept. Precision: scatter around the line. See section S2.6 for additional data.

Techniques: Imaging, Quantitation Assay

Journal: Nature Communications

Article Title: Single cell atlas identifies lipid-processing and immunomodulatory endothelial cells in healthy and malignant breast

doi: 10.1038/s41467-022-33052-y

Figure Lengend Snippet: a Sankey diagram (left panel), showing the scmap cluster projection of annotated (peri-) tumoral breast-derived ECs (left part; n = 8433 endothelial cells) to subclusters of the EC taxonomy in non-small cell lung carcinoma (right part) and box plots (right panel) depicting the scmap similarity index. PCV post-capillary venules, EC endothelial cell, LS lower sequencing depth. Boxes extend from the 25 th to 75 th percentiles, line in the middle of the box is plotted at the median. Whiskers = min and max. b Three-dimensional principal component (PC) analysis on the pairwise Jaccard similarity coefficients of marker genes between EC subtypes in lung and breast. Color coding according to EC subtypes (lung – squares; breast – circles). c Venn-diagrams of the top-50 marker genes in the indicated EC subtypes in lung and breast ECs. Numbers in the middle reflect genes congruently ranking in the top-50 in both tissues. d Heatmap of the expression levels of the indicated immunoregulatory genes in the different breast EC subtypes. Venous EC subtypes are indicated by dashed lines. Color scale: red – high expression, blue – low expression. e Quantification of HLA-DR signal in ACKR1 + CD105 + pNEC and TEC represented as a percentage of the CD105 + vessel area. Data are mean ± SEM, n = 7, * p < 0.05 (exact p -value = 0.0045), paired t-test (two-tailed). f Representative micrographs of human breast peri-tumoral (left) and tumoral (right) tissue sections, immunostained for CD105 and HLA-DR, stained for ACKR1 by RNAscope and counterstained with Hoechst ( n = 7). Brightness was decreased linearly (gamma = 1) to improve visibility for ACKR1 and CD105. Scale bar: 10 µm.

Article Snippet: Formalin-fixed paraffin-embedded human breast tissue sections were subjected to RNAscope in situ hybridization using the RNAscope Multiplex Fluorescent v2 assay (ACDBio) combined with immunofluorescence—Integrated Co-Detection Workflow according to the manufacturer’s instructions (Pretreatment and RNAscope Multiplex Fluorescent v2 Assay according to protocol 323100-USM and MK-5150).

Techniques: Derivative Assay, Sequencing, Marker, Expressing, Two Tailed Test, Staining, RNAscope

Journal: Nature Communications

Article Title: Single cell atlas identifies lipid-processing and immunomodulatory endothelial cells in healthy and malignant breast

doi: 10.1038/s41467-022-33052-y

Figure Lengend Snippet: a UMAP-plot of T-/NK cells color coded by subcluster. NK natural killer. b Heatmap of the expression levels of canonical marker genes of T-/NK cell (sub-)types. Color scale: red – high expression, blue – low expression. c UMAP-plot of myeloid cells color coded by subcluster. TR tissue resident, LS lower sequencing depth. d Heatmap of the expression levels of canonical genes in myeloid cells. Color scale: red – high expression, blue – low expression. TAM tumor associated macrophages. e Schematic overview of the receptor ligand interaction analysis. Clusters containing <100 cells: mast cells, plasma cells and plasmacytoid dendritic cells. EC endothelial cell, LFC log fold change, RLI receptor ligand interaction. f Circos plots representing RLI analysis between angiogenic/venous ECs and immune cells. Receptor is expressed on immune cell subclusters, ligand is expressed on angiogenic ECs (left panel) or venous ECs (right panel). Plots are color coded for the receptor–ligand pairs (arrows, gene names) and immune cell subclusters expressing the receptor (bars perpendicular to inner circle). Previously unknown RLI pairs between ECs and specific immune cell subtypes are indicated in bold (genes) and with asterisks (subclusters). g Representative micrographs of human breast tumoral tissue sections, immunostained for CD105 and CLEC2B (left panels) or CD16 and KLRF1 (right panels) and counterstained with Hoechst ( n = 8). Middle panels: magnifications of the white boxed areas in the upper panels. Bottom panels: magnifications of the orange boxed areas in the upper panels. Dotted white line indicates a CLEC2B + blood vessel, dotted orange lines indicate KLRF1 + NK cells in the vicinity of the blood vessel. Scale bar: 50 µm.

Techniques: Expressing, Marker, Sequencing, Clinical Proteomics

Journal: Nature Communications

Article Title: Single cell atlas identifies lipid-processing and immunomodulatory endothelial cells in healthy and malignant breast

doi: 10.1038/s41467-022-33052-y

Figure Lengend Snippet: a Waterfall plot of top-15 up- and downregulated metabolic pathways in metabolic gene set enrichment analysis in TECs compared to pECs (gray – up in pEC, red – up in TEC). Asterisks mark gene sets involved in lipid metabolism. b Volcano plot showing differential metabolic gene expression analysis of pECs versus TECs. Key pEC-enriched marker genes involved in lipid metabolism are indicated. Gray, significant (adjusted p-value (Benjamini–Hochberg) < 0.05); dark blue, not significant. Differential expression analysis was performed using limma , the magnitude of differential expression (log2 fold change) and false discovery rate adjusted p -values (Benjamini–Hochberg) are provided on the x - and y -axis, respectively. c Dot plot heatmap of the gene expression levels within the LIPEC signature in breast EC subclusters. The color intensity of each dot represents the average level of marker gene expression, while the dot size reflects the percentage of cells expressing the marker within the subcluster. Color scale: red – high expression, blue – low expression. LIPEC lipid processing EC, TF transcription factor, LS lower sequencing depth. d Quantification of the FABP4 + CD105 + vessel area in peri-tumoral and tumoral breast tissue. Data are mean ± SEM, n = 7, ** p < 0.01 (exact p -value = 0.0014), two-tailed paired t-test. For a representative image of the stained peri-tumoral - tumor border, see Supplementary Fig. . e Dot plot heatmap of the expression of PPARG and LXRA (left panel) and their respective regulons from SCENIC analysis (right panel). The color intensity of each dot represents the average level of gene (left) or regulon (right) expression, while the dot size reflects the percentage of cells expressing the gene/regulon within the cell subcluster. Color scale: red – high expression, blue – low expression. f Quantification of the % of EC nuclei with positive PPARG staining by RNAscope in CD105 + FABP4 + vessels vs . CD105 + FABP4 − vessels in human breast tissue (tumor and peri-tumoral tissue pooled per patient). Data are mean ± SEM, n = 8, **** p < 0.0001 (exact p -value < 0.0001), two-tailed paired t-test. g Representative micrographs of human breast tumor tissue sections, immunostained for CD105 and stained for FABP4 and PPARG by RNAscope and counterstained with Hoechst ( n = 8). Right panels: magnifications of the boxed areas in the middle panels. Red arrows point to PPARG transcripts stained by RNAscope. Scale bar: 10 µm.

Techniques: Gene Expression, Marker, Quantitative Proteomics, Expressing, Sequencing, Two Tailed Test, Staining, RNAscope

Journal: Nature Communications

Article Title: Single cell atlas identifies lipid-processing and immunomodulatory endothelial cells in healthy and malignant breast

doi: 10.1038/s41467-022-33052-y

Figure Lengend Snippet: a Schematic overview of the survival analysis in the retrospective clinical cohort and immunostaining validation. UH university hospital, BC breast cancer, HER2 human epidermal growth factor receptor 2, BMI body mass index, HR hormone receptor status. Color coding in the clinical characteristics panel reflects differences in age, BMI, tumor stage & grade (Supplementary Data ). Color coding underneath the treatment stratification panel indicates patients that did (green) or did not (blue) receive metformin treatment during follow up. b Cumulative incidence function estimate of BC-specific survival (left panel) and the distant relapse free interval (right panel) in BC patients stratified by intake of a metformin. Color coded by group: blue – control, green – patients treated with metformin, purple – control matched for age, BMI, tumor stage & grade and hormone receptor status. P -values were calculated by the Kaplan–Meier (log rank) test between metformin therapy and without metformin therapy groups (blue for unmatched control patients; purple for matched control patients). Numbers in the boxes underneath the curves depict the number of patients per group that are at risk for the event (mortality in left panel, mortality/development of metastasis in right panel) at the indicated time points. c Quantification of FABP4 + blood vessels (% area of total CD105 + blood vessels) in non-diabetic BC patients ( n = 8) and in diabetic patients without ( n = 8) or with ( n = 9) metformin treatment. Data are mean ± SEM, ** p < 0.01 (exact p -values = 0.0030 and 0.0023, respectively), one-way ANOVA followed by Dunnett’s multiple comparisons test. d Representative micrographs of human breast tumor tissue sections in control non-diabetic (left; n = 8) or diabetic (middle; n = 8) control BC patients and in (diabetic) BC patients treated with metformin (right; n = 9), immunostained for CD105, FABP4 and counterstained with Hoechst. Arrowheads denote CD105 + FABP4 + vessels, asterisks denote (putative) adipocytes, which (besides LIPECs) are also positive for FABP4. Brightness was increased linearly (gamma = 1) to improve visibility for CD105 and FABP4. Scale bar: 75 µm.

Techniques: Immunostaining, Biomarker Discovery, Control

Multiplexed protein imaging via HCR 1°IHC using initiator-labeled primary antibody probes and simultaneous HCR signal amplification for all targets. (A) Two-stage HCR 1°IHC protocol. Detection stage: initiator-labeled primary antibody probes bind to protein targets; wash. Amplification stage: initiators trigger self-assembly of fluorophore-labeled HCR hairpins into tethered fluorescent amplification polymers; wash. (B) Multiplexing timeline. The same two-stage protocol is used independent of the number of target proteins. (C) Confocal image of 3-plex protein imaging in mammalian cells on a slide; 0.2×0.2 µm pixels; maximum intensity z -projection. Target proteins: HSP60 (Alexa488), GM130 (Alexa647) and SC35 (Alexa546). Sample: HeLa cells. (D) Epifluorescence image of 4-plex protein imaging in FFPE mouse brain sections; 0.3×0.3 µm pixels. Target proteins: TH (Alexa488), GFAP (Alexa546), MBP (Alexa647) and MAP2 (Alexa750). (E) Zoom of indicated region in D. Sample: FFPE C57BL/6 mouse brain section (coronal); 5 µm thickness. See section S5.2 of the supplementary information for additional data.

Journal: Development (Cambridge, England)

Article Title: Hybridization chain reaction enables a unified approach to multiplexed, quantitative, high-resolution immunohistochemistry and in situ hybridization

doi: 10.1242/dev.199847

Figure Lengend Snippet: Multiplexed protein imaging via HCR 1°IHC using initiator-labeled primary antibody probes and simultaneous HCR signal amplification for all targets. (A) Two-stage HCR 1°IHC protocol. Detection stage: initiator-labeled primary antibody probes bind to protein targets; wash. Amplification stage: initiators trigger self-assembly of fluorophore-labeled HCR hairpins into tethered fluorescent amplification polymers; wash. (B) Multiplexing timeline. The same two-stage protocol is used independent of the number of target proteins. (C) Confocal image of 3-plex protein imaging in mammalian cells on a slide; 0.2×0.2 µm pixels; maximum intensity z -projection. Target proteins: HSP60 (Alexa488), GM130 (Alexa647) and SC35 (Alexa546). Sample: HeLa cells. (D) Epifluorescence image of 4-plex protein imaging in FFPE mouse brain sections; 0.3×0.3 µm pixels. Target proteins: TH (Alexa488), GFAP (Alexa546), MBP (Alexa647) and MAP2 (Alexa750). (E) Zoom of indicated region in D. Sample: FFPE C57BL/6 mouse brain section (coronal); 5 µm thickness. See section S5.2 of the supplementary information for additional data.

Article Snippet: Experiments were performed in HeLa cells (ATCC, CRM-CCL-2), FFPE C57BL/6 mouse brain sections (coronal; thickness 5 μm, Acepix Biosciences 7011-0120), FFPE human breast tissue sections (thickness 5 μm; Acepix Biosciences, 7310-0620) and whole-mount zebrafish embryos (wildtype Danio rerio strain AB; fixed at 27 hpf).

Techniques: Imaging, Labeling, Amplification, Multiplexing

Multiplexed protein imaging via HCR 2°IHC using unlabeled primary antibody probes, initiator-labeled secondary antibody probes and simultaneous HCR signal amplification for all targets. (A) Two-stage HCR 2°IHC protocol. Detection stage: unlabeled primary antibody probes bind to protein targets; wash; initiator-labeled secondary antibody probes bind to primary antibody probes; wash. Amplification stage: initiators trigger self-assembly of fluorophore-labeled HCR hairpins into tethered fluorescent amplification polymers; wash. (B) Multiplexing timeline. The same two-stage protocol is used independent of the number of target proteins. (C) Confocal image of 3-plex protein imaging in mammalian cells on a slide; 0.14×0.14 µm pixels; maximum intensity z -projection. Target proteins: PCNA (Alexa647), HSP60 (Alexa546) and SC35 (Alexa488). Sample: HeLa cells. (D) Epifluorescence image of 4-plex protein imaging in FFPE mouse brain sections; 0.6×0.6 µm pixels. Target proteins: TH (Alexa488), GFAP (Alexa546), PVALB (Alexa647) and MBP (Alexa750). (E) Zoom of indicated region in D. Sample: FFPE C57BL/6 mouse brain section (coronal); 5 µm thickness. See sections S5.3 and S5.4 of the supplementary information for additional data.

Journal: Development (Cambridge, England)

Article Title: Hybridization chain reaction enables a unified approach to multiplexed, quantitative, high-resolution immunohistochemistry and in situ hybridization

doi: 10.1242/dev.199847

Figure Lengend Snippet: Multiplexed protein imaging via HCR 2°IHC using unlabeled primary antibody probes, initiator-labeled secondary antibody probes and simultaneous HCR signal amplification for all targets. (A) Two-stage HCR 2°IHC protocol. Detection stage: unlabeled primary antibody probes bind to protein targets; wash; initiator-labeled secondary antibody probes bind to primary antibody probes; wash. Amplification stage: initiators trigger self-assembly of fluorophore-labeled HCR hairpins into tethered fluorescent amplification polymers; wash. (B) Multiplexing timeline. The same two-stage protocol is used independent of the number of target proteins. (C) Confocal image of 3-plex protein imaging in mammalian cells on a slide; 0.14×0.14 µm pixels; maximum intensity z -projection. Target proteins: PCNA (Alexa647), HSP60 (Alexa546) and SC35 (Alexa488). Sample: HeLa cells. (D) Epifluorescence image of 4-plex protein imaging in FFPE mouse brain sections; 0.6×0.6 µm pixels. Target proteins: TH (Alexa488), GFAP (Alexa546), PVALB (Alexa647) and MBP (Alexa750). (E) Zoom of indicated region in D. Sample: FFPE C57BL/6 mouse brain section (coronal); 5 µm thickness. See sections S5.3 and S5.4 of the supplementary information for additional data.

Techniques: Imaging, Labeling, Amplification, Multiplexing

qHCR imaging: protein relative quantitation with subcellular resolution in an anatomical context using HCR 1°IHC or HCR 2°IHC. (A) Two-channel redundant detection of a target protein. Top: target protein detected using two primary antibody probes that bind different epitopes, each initiating an orthogonal spectrally distinct HCR amplifier (Ch1, Alexa647; Ch2, Alexa750). Bottom: target protein detected using an unlabeled primary antibody probe and two batches of secondary antibody probes that initiate orthogonal spectrally distinct HCR amplifiers (Ch1, Alexa546; Ch2, Alexa647). (B) Top: epifluorescence image of FFPE mouse brain section; 0.16×0.16 µm pixels. Target protein: TH. Sample: FFPE C57BL/6 mouse brain section (coronal); 5 µm thickness. Bottom: confocal image of FFPE human breast tissue; 0.3×0.3 µm pixels; single optical section. Target protein: KRT17. Sample: FFPE human breast tissue section; 5 µm thickness. (C) High accuracy and precision for protein relative quantitation in an anatomical context. Highly correlated normalized signal (Pearson correlation coefficient, r ) for subcellular voxels in the indicated region in B (top: 2×2 µm voxels in a 5 µm section using epifluorescence microscopy; bottom: 2.0×2.0×2.5 µm voxels using confocal microscopy). Accuracy: linearity with zero intercept. Precision: scatter around the line. See section S5.6 of the supplementary information for additional data.

Journal: Development (Cambridge, England)

Article Title: Hybridization chain reaction enables a unified approach to multiplexed, quantitative, high-resolution immunohistochemistry and in situ hybridization

doi: 10.1242/dev.199847

Figure Lengend Snippet: qHCR imaging: protein relative quantitation with subcellular resolution in an anatomical context using HCR 1°IHC or HCR 2°IHC. (A) Two-channel redundant detection of a target protein. Top: target protein detected using two primary antibody probes that bind different epitopes, each initiating an orthogonal spectrally distinct HCR amplifier (Ch1, Alexa647; Ch2, Alexa750). Bottom: target protein detected using an unlabeled primary antibody probe and two batches of secondary antibody probes that initiate orthogonal spectrally distinct HCR amplifiers (Ch1, Alexa546; Ch2, Alexa647). (B) Top: epifluorescence image of FFPE mouse brain section; 0.16×0.16 µm pixels. Target protein: TH. Sample: FFPE C57BL/6 mouse brain section (coronal); 5 µm thickness. Bottom: confocal image of FFPE human breast tissue; 0.3×0.3 µm pixels; single optical section. Target protein: KRT17. Sample: FFPE human breast tissue section; 5 µm thickness. (C) High accuracy and precision for protein relative quantitation in an anatomical context. Highly correlated normalized signal (Pearson correlation coefficient, r ) for subcellular voxels in the indicated region in B (top: 2×2 µm voxels in a 5 µm section using epifluorescence microscopy; bottom: 2.0×2.0×2.5 µm voxels using confocal microscopy). Accuracy: linearity with zero intercept. Precision: scatter around the line. See section S5.6 of the supplementary information for additional data.

Techniques: Imaging, Quantitation Assay, Epifluorescence Microscopy, Confocal Microscopy

Simultaneous multiplexed protein and RNA imaging via HCR 1°IHC + HCR RNA-ISH using initiator-labeled primary antibody probes for protein targets, split-initiator DNA probes for RNA targets, and simultaneous HCR signal amplification for all targets. (A) Three-stage HCR 1°IHC + HCR RNA-ISH protocol. Protein detection stage: initiator-labeled primary antibody probes bind to protein targets; wash. RNA detection stage: split-initiator DNA probes bind to RNA targets; wash. Amplification stage: initiators trigger self-assembly of fluorophore-labeled HCR hairpins into tethered fluorescent amplification polymers; wash. For multiplexed experiments, the same three-stage protocol is used independent of the number of target proteins and RNAs. (B) Confocal image of 4-plex protein and RNA imaging in mammalian cells on a slide; 0.13×0.13 µm pixels; maximum intensity z -projection. Targets: PCNA (protein; Alexa488), HSP60 (protein; Alexa546), U6 (RNA; Alexa594) and ACTB (mRNA; Alexa647). Sample: HeLa cells. (C) Epifluorescence image of 4-plex protein and RNA imaging in FFPE mouse brain sections; 0.16×0.16 µm pixels. Targets: TH (protein; Alexa488), MBP (protein; Alexa546), Prkcd (mRNA; Alexa647) and Slc17a7 (mRNA; Alexa750). Sample: FFPE C57BL/6 mouse brain section (coronal); 5 µm thickness. (D) Zooms of indicated regions in C. See sections S5.7 and S5.8 of the supplementary information for additional data.

Journal: Development (Cambridge, England)

Article Title: Hybridization chain reaction enables a unified approach to multiplexed, quantitative, high-resolution immunohistochemistry and in situ hybridization

doi: 10.1242/dev.199847

Figure Lengend Snippet: Simultaneous multiplexed protein and RNA imaging via HCR 1°IHC + HCR RNA-ISH using initiator-labeled primary antibody probes for protein targets, split-initiator DNA probes for RNA targets, and simultaneous HCR signal amplification for all targets. (A) Three-stage HCR 1°IHC + HCR RNA-ISH protocol. Protein detection stage: initiator-labeled primary antibody probes bind to protein targets; wash. RNA detection stage: split-initiator DNA probes bind to RNA targets; wash. Amplification stage: initiators trigger self-assembly of fluorophore-labeled HCR hairpins into tethered fluorescent amplification polymers; wash. For multiplexed experiments, the same three-stage protocol is used independent of the number of target proteins and RNAs. (B) Confocal image of 4-plex protein and RNA imaging in mammalian cells on a slide; 0.13×0.13 µm pixels; maximum intensity z -projection. Targets: PCNA (protein; Alexa488), HSP60 (protein; Alexa546), U6 (RNA; Alexa594) and ACTB (mRNA; Alexa647). Sample: HeLa cells. (C) Epifluorescence image of 4-plex protein and RNA imaging in FFPE mouse brain sections; 0.16×0.16 µm pixels. Targets: TH (protein; Alexa488), MBP (protein; Alexa546), Prkcd (mRNA; Alexa647) and Slc17a7 (mRNA; Alexa750). Sample: FFPE C57BL/6 mouse brain section (coronal); 5 µm thickness. (D) Zooms of indicated regions in C. See sections S5.7 and S5.8 of the supplementary information for additional data.

Techniques: Imaging, Labeling, Amplification, RNA Detection

Simultaneous multiplexed protein and RNA imaging via HCR 2°IHC + HCR RNA-ISH using unlabeled primary antibody probes and initiator-labeled secondary antibody probes for protein targets, split-initiator DNA probes for RNA targets, and simultaneous HCR signal amplification for all targets. (A) Three-stage HCR 2°IHC + HCR RNA-ISH protocol. Protein detection stage: unlabeled primary antibody probes bind to protein targets; wash; initiator-labeled secondary antibody probes bind to primary antibody probes; wash. RNA detection stage: split-initiator DNA probes bind to RNA targets; wash. Amplification stage: initiators trigger self-assembly of fluorophore-labeled HCR hairpins into tethered fluorescent amplification polymers; wash. For multiplexed experiments, the same three-stage protocol is used independent of the number of target proteins and RNAs. (B) Confocal image of 4-plex protein and RNA imaging in mammalian cells on a slide; 0.13×0.13 µm pixels; maximum intensity z -projection. Targets: PCNA (protein; Alexa488), HSP60 (protein; Alexa546), U6 (RNA; Alexa594) and HSP60 (mRNA; Alexa647). Sample: HeLa cells. (C) Epifluorescence image of 4-plex protein and RNA imaging in FFPE mouse brain sections; 0.16×0.16 µm pixels. Targets: TH (protein; Alexa488), MBP (protein; Alexa546), Prkcd (mRNA; Alexa647) and Slc17a7 (mRNA; Alexa750). Sample: FFPE C57BL/6 mouse brain section (coronal); 5 µm thickness. (D) Zooms of indicated regions in C. See sections S5.9 and S5.10 of the supplementary information for additional data.

Journal: Development (Cambridge, England)

Article Title: Hybridization chain reaction enables a unified approach to multiplexed, quantitative, high-resolution immunohistochemistry and in situ hybridization

doi: 10.1242/dev.199847

Figure Lengend Snippet: Simultaneous multiplexed protein and RNA imaging via HCR 2°IHC + HCR RNA-ISH using unlabeled primary antibody probes and initiator-labeled secondary antibody probes for protein targets, split-initiator DNA probes for RNA targets, and simultaneous HCR signal amplification for all targets. (A) Three-stage HCR 2°IHC + HCR RNA-ISH protocol. Protein detection stage: unlabeled primary antibody probes bind to protein targets; wash; initiator-labeled secondary antibody probes bind to primary antibody probes; wash. RNA detection stage: split-initiator DNA probes bind to RNA targets; wash. Amplification stage: initiators trigger self-assembly of fluorophore-labeled HCR hairpins into tethered fluorescent amplification polymers; wash. For multiplexed experiments, the same three-stage protocol is used independent of the number of target proteins and RNAs. (B) Confocal image of 4-plex protein and RNA imaging in mammalian cells on a slide; 0.13×0.13 µm pixels; maximum intensity z -projection. Targets: PCNA (protein; Alexa488), HSP60 (protein; Alexa546), U6 (RNA; Alexa594) and HSP60 (mRNA; Alexa647). Sample: HeLa cells. (C) Epifluorescence image of 4-plex protein and RNA imaging in FFPE mouse brain sections; 0.16×0.16 µm pixels. Targets: TH (protein; Alexa488), MBP (protein; Alexa546), Prkcd (mRNA; Alexa647) and Slc17a7 (mRNA; Alexa750). Sample: FFPE C57BL/6 mouse brain section (coronal); 5 µm thickness. (D) Zooms of indicated regions in C. See sections S5.9 and S5.10 of the supplementary information for additional data.

Techniques: Imaging, Labeling, Amplification, RNA Detection

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