tissue microarray (tma (TissueArray.com LLC)

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TissueArray.com LLC tissue microarray (tma

Multidimensional analysis of the NSCLC tumor ecosystem by IMC. A, Schematic representation of the IMC workflow on a formalin-fixed, paraffin-embedded tissue <t>microarray.</t> Key steps include staining with metal-tagged antibodies, spot-by-spot laser ablation, and acquisition by a mass cytometer. High dimensional images are reconstructed, processed, and segmented at both cellular and tissue level, generating data for further analyses. B, Heat map showing the mean values of key lineage markers adopted for cell cluster annotation. Proteins and cell phenotypes are ordered by hierarchical clustering with the Pearson correlation distance. Protein expression is color-coded from blue (lower) to red (higher) and scaled by column. C, Representative matched pictures of a NSCLC specimen showing pan-cytokeratin–positive tumor cells (left) and the tissue segmentation resulting from the machine learning pixel classifier (right). D, Spatial distribution and quantification of immune cell populations as the absolute cell number per mm 2 (left) or as a percentage of total immune cells (right) in the tumor and the stroma. E, Heat map showing the normalized marker expression in each macrophage cluster. Markers and cell clusters are ordered by hierarchical clustering according to Pearson correlation distance. Mean values of marker expression are represented and color-coded from blue (lower) to red (higher) and scaled by column. Color code indicates cluster identity. F and G, UMAP projections of macrophage cells ( n = 46733) from NSCLC tumors showing 20 clusters ( F ) or the cell distribution according to tissue segmentation ( G ). Each dot represents an individual cell. H, S100A8 + Mϕ infiltrate both the stroma and the tumor nests of NSCLC tissues. Representative pictures of the distribution of Mϕ (defined as CD68 + cells) and the subpopulation of S100A8 + Mϕ within tumor nests of a NSCLC tissue.

Tissue Microarray (Tma, supplied by TissueArray.com LLC, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/tissue+microarrayer+(tma+grandmaster/tissue+microarray++tma++samples/pmc10982643-36-15-18
Average 90 stars, based on 1 article reviews

tissue microarray (tma - by Bioz Stars, 2026-09

90/100 stars

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1) Product Images from "Integrating AI-Powered Digital Pathology and Imaging Mass Cytometry Identifies Key Classifiers of Tumor Cells, Stroma, and Immune Cells in Non–Small Cell Lung Cancer"

Article Title: Integrating AI-Powered Digital Pathology and Imaging Mass Cytometry Identifies Key Classifiers of Tumor Cells, Stroma, and Immune Cells in Non–Small Cell Lung Cancer

Journal: Cancer Research

doi: 10.1158/0008-5472.CAN-23-1698

Figure Legend Snippet: Multidimensional analysis of the NSCLC tumor ecosystem by IMC. A, Schematic representation of the IMC workflow on a formalin-fixed, paraffin-embedded tissue microarray. Key steps include staining with metal-tagged antibodies, spot-by-spot laser ablation, and acquisition by a mass cytometer. High dimensional images are reconstructed, processed, and segmented at both cellular and tissue level, generating data for further analyses. B, Heat map showing the mean values of key lineage markers adopted for cell cluster annotation. Proteins and cell phenotypes are ordered by hierarchical clustering with the Pearson correlation distance. Protein expression is color-coded from blue (lower) to red (higher) and scaled by column. C, Representative matched pictures of a NSCLC specimen showing pan-cytokeratin–positive tumor cells (left) and the tissue segmentation resulting from the machine learning pixel classifier (right). D, Spatial distribution and quantification of immune cell populations as the absolute cell number per mm 2 (left) or as a percentage of total immune cells (right) in the tumor and the stroma. E, Heat map showing the normalized marker expression in each macrophage cluster. Markers and cell clusters are ordered by hierarchical clustering according to Pearson correlation distance. Mean values of marker expression are represented and color-coded from blue (lower) to red (higher) and scaled by column. Color code indicates cluster identity. F and G, UMAP projections of macrophage cells ( n = 46733) from NSCLC tumors showing 20 clusters ( F ) or the cell distribution according to tissue segmentation ( G ). Each dot represents an individual cell. H, S100A8 + Mϕ infiltrate both the stroma and the tumor nests of NSCLC tissues. Representative pictures of the distribution of Mϕ (defined as CD68 + cells) and the subpopulation of S100A8 + Mϕ within tumor nests of a NSCLC tissue.

Techniques Used: Formalin-fixed Paraffin-Embedded, Microarray, Staining, Cytometry, Expressing, Marker

Microarray:

Article Title: The IGF2BP1 oncogene is a druggable m 6 A-dependent enhancer of YAP1-driven gene expression in ovarian cancer
Article Snippet: .. A tissue microarray (TMA) containing 35 primary tumors and corresponding metastases from the greater omentum ( ; OV812; tissuearray.com), derived from HGSC samples, was stained using the Opal7 kit (Akoya) to analyze IGF2BP1 and YAP1 protein expression. ..

Article Title: Integrating AI-Powered Digital Pathology and Imaging Mass Cytometry Identifies Key Classifiers of Tumor Cells, Stroma, and Immune Cells in Non–Small Cell Lung Cancer
Article Snippet: .. Cohort 1 included 108 patients diagnosed with NSCLC, whose tumor specimen was spotted on a tissue microarray (TMA; LC2162–US Biomax), containing 209 cores. ..

Article Title: Lactate Rewires Lipid Metabolism and Sustains a Metabolic–Epigenetic Axis in Prostate Cancer
Article Snippet: .. For prostate tissue analyses, we used a tissue microarray (TMA; #PR633, US Biomax). .. Sections were stained with PLIN2 (rabbit; HPA016607, RRID: AB_2669403; Merck Millipore, 1:250) and MCT1 (mouse ab90582; RRID:AB_2050317; Abcam, 1:200).

Derivative Assay:

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Expressing:

other:

Article Title: Tissue Mechanics and Hedgehog Signaling Crosstalk as a Key Epithelial-Stromal Interplay in Cancer Development.
Article Snippet: Tissue Microarray (TMA) Analysis: Normal and OSCC TMAs (OR208a, OR481a, OR601c) were purchased from TissueArray.Com (USA).

Article Title: Preclinical development of a chimeric antigen receptor T cell therapy targeting FGFR4 in rhabdomyosarcoma.
Article Snippet: Immunohistochemistry of normal tissue microarray (TMA) and RMS TMA Normal tissue microarray (TMA) slide was purchased from US Biomax (FDA999w).

Article Title: A ganglioside-based immune checkpoint enables senescent cells to evade immunosurveillance during aging.
Article Snippet: LYRICAN (INCa-DGOS-Inserm_12563) (M.-C.M.)

Article Title: Comparison between two artificial intelligence models to discriminate cancerous cell nuclei based on confocal fluorescence imaging in hepatocellular carcinoma.
Article Snippet: Confocal fluorescence dataset To detect cancerous nuclei in liver tissue, we have used a comercial tissue microarray (TMA) purchased from TissueArray.com code: BC03118b).

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