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mass cytometry cytof data acquisition  (fluidigm)


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    fluidigm mass cytometry cytof data acquisition
    Fig. 7 Composition alteration of MM clones in paired samples shows patient-specific heterogeneity in progressed disease. a Box plot showing plasma cell (PC) composition changes among different disease stages by <t>CyTOF</t> analysis. p values for each cell type were calculated using Kruskal–Wallis with Dunn’s multiple comparisons test. b Dot plot showing gene expression of plasma cells for individual patients and healthy donors. c UMAP plots of plasms cell subtypes. d UMAP plots showing plasma cell subclusters in paired samples (left). Density map on the UMAP plot showing representative marker gene expression among plasma cell subtypes (right).
    Mass Cytometry Cytof Data Acquisition, supplied by fluidigm, used in various techniques. Bioz Stars score: 99/100, based on 2047 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/mass cytometry cytof data acquisition/product/fluidigm
    Average 99 stars, based on 2047 article reviews
    mass cytometry cytof data acquisition - by Bioz Stars, 2026-03
    99/100 stars

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    1) Product Images from "Multi-omics reveal immune microenvironment alterations in multiple myeloma and its precursor stages."

    Article Title: Multi-omics reveal immune microenvironment alterations in multiple myeloma and its precursor stages.

    Journal: Blood cancer journal

    doi: 10.1038/s41408-024-01172-x

    Fig. 7 Composition alteration of MM clones in paired samples shows patient-specific heterogeneity in progressed disease. a Box plot showing plasma cell (PC) composition changes among different disease stages by CyTOF analysis. p values for each cell type were calculated using Kruskal–Wallis with Dunn’s multiple comparisons test. b Dot plot showing gene expression of plasma cells for individual patients and healthy donors. c UMAP plots of plasms cell subtypes. d UMAP plots showing plasma cell subclusters in paired samples (left). Density map on the UMAP plot showing representative marker gene expression among plasma cell subtypes (right).
    Figure Legend Snippet: Fig. 7 Composition alteration of MM clones in paired samples shows patient-specific heterogeneity in progressed disease. a Box plot showing plasma cell (PC) composition changes among different disease stages by CyTOF analysis. p values for each cell type were calculated using Kruskal–Wallis with Dunn’s multiple comparisons test. b Dot plot showing gene expression of plasma cells for individual patients and healthy donors. c UMAP plots of plasms cell subtypes. d UMAP plots showing plasma cell subclusters in paired samples (left). Density map on the UMAP plot showing representative marker gene expression among plasma cell subtypes (right).

    Techniques Used: Clone Assay, Clinical Proteomics, Gene Expression, Marker



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    mass cytometry cytof data acquisition  (fluidigm)
    99
    fluidigm mass cytometry cytof data acquisition
    Fig. 7 Composition alteration of MM clones in paired samples shows patient-specific heterogeneity in progressed disease. a Box plot showing plasma cell (PC) composition changes among different disease stages by <t>CyTOF</t> analysis. p values for each cell type were calculated using Kruskal–Wallis with Dunn’s multiple comparisons test. b Dot plot showing gene expression of plasma cells for individual patients and healthy donors. c UMAP plots of plasms cell subtypes. d UMAP plots showing plasma cell subclusters in paired samples (left). Density map on the UMAP plot showing representative marker gene expression among plasma cell subtypes (right).
    Mass Cytometry Cytof Data Acquisition, supplied by fluidigm, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/mass cytometry cytof data acquisition/product/fluidigm
    Average 99 stars, based on 1 article reviews
    mass cytometry cytof data acquisition - by Bioz Stars, 2026-03
    99/100 stars
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    Fig. 7 Composition alteration of MM clones in paired samples shows patient-specific heterogeneity in progressed disease. a Box plot showing plasma cell (PC) composition changes among different disease stages by CyTOF analysis. p values for each cell type were calculated using Kruskal–Wallis with Dunn’s multiple comparisons test. b Dot plot showing gene expression of plasma cells for individual patients and healthy donors. c UMAP plots of plasms cell subtypes. d UMAP plots showing plasma cell subclusters in paired samples (left). Density map on the UMAP plot showing representative marker gene expression among plasma cell subtypes (right).

    Journal: Blood cancer journal

    Article Title: Multi-omics reveal immune microenvironment alterations in multiple myeloma and its precursor stages.

    doi: 10.1038/s41408-024-01172-x

    Figure Lengend Snippet: Fig. 7 Composition alteration of MM clones in paired samples shows patient-specific heterogeneity in progressed disease. a Box plot showing plasma cell (PC) composition changes among different disease stages by CyTOF analysis. p values for each cell type were calculated using Kruskal–Wallis with Dunn’s multiple comparisons test. b Dot plot showing gene expression of plasma cells for individual patients and healthy donors. c UMAP plots of plasms cell subtypes. d UMAP plots showing plasma cell subclusters in paired samples (left). Density map on the UMAP plot showing representative marker gene expression among plasma cell subtypes (right).

    Article Snippet: Mass cytometry (CyTOF) data acquisition A Helios mass cytometer (Fluidigm) was used for data acquisition.

    Techniques: Clone Assay, Clinical Proteomics, Gene Expression, Marker