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Miltenyi Biotec cell suspensions
<t>Single-cell</t> <t>and</t> transcriptomic sequencing reveal functional reprogramming of macrophages in the HCC microenvironment.Note: ( A ) Schematic workflow of single-cell analysis, including single-cell suspension preparation, high-throughput sequencing, and data processing (Created in BioRender); ( B ) UMAP dimensionality reduction analysis identifying cell subsets including TAMs, tumor cells, and CD8⁺ T cells; ( C ) UMAP visualization showing significant enrichment of M2 macrophages and reduction of M1 macrophages in tumor tissues; ( D ) DEGs in M2 macrophages identified from single-cell transcriptomic data: green represents 80 downregulated genes, red represents 47 upregulated genes, and blue indicates non-significant genes ( n = 2 tumor tissues, n = 2 adjacent normal liver tissues); ( E ) Workflow of bulk RNA-seq analysis (Created in BioRender); ( F ) Heatmap of the top 50 DEGs ranked by absolute logFC values across all samples; ( G ) Volcano plot showing DEGs between TET3-overexpressing and control samples: 98 downregulated genes (green) and 83 upregulated genes (red), with the top 10 most dysregulated genes annotated. TET3-overexpressing samples: n = 5; control samples: n = 5
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Single-cell and transcriptomic sequencing reveal functional reprogramming of macrophages in the HCC microenvironment.Note: ( A ) Schematic workflow of single-cell analysis, including single-cell suspension preparation, high-throughput sequencing, and data processing (Created in BioRender); ( B ) UMAP dimensionality reduction analysis identifying cell subsets including TAMs, tumor cells, and CD8⁺ T cells; ( C ) UMAP visualization showing significant enrichment of M2 macrophages and reduction of M1 macrophages in tumor tissues; ( D ) DEGs in M2 macrophages identified from single-cell transcriptomic data: green represents 80 downregulated genes, red represents 47 upregulated genes, and blue indicates non-significant genes ( n = 2 tumor tissues, n = 2 adjacent normal liver tissues); ( E ) Workflow of bulk RNA-seq analysis (Created in BioRender); ( F ) Heatmap of the top 50 DEGs ranked by absolute logFC values across all samples; ( G ) Volcano plot showing DEGs between TET3-overexpressing and control samples: 98 downregulated genes (green) and 83 upregulated genes (red), with the top 10 most dysregulated genes annotated. TET3-overexpressing samples: n = 5; control samples: n = 5

Journal: Journal of Nanobiotechnology

Article Title: Dual-targeted lipid nanoparticles for TET3 siRNA delivery: nanobiotechnology strategy to remodel tumor immune microenvironment in hepatocellular carcinoma

doi: 10.1186/s12951-026-04312-6

Figure Lengend Snippet: Single-cell and transcriptomic sequencing reveal functional reprogramming of macrophages in the HCC microenvironment.Note: ( A ) Schematic workflow of single-cell analysis, including single-cell suspension preparation, high-throughput sequencing, and data processing (Created in BioRender); ( B ) UMAP dimensionality reduction analysis identifying cell subsets including TAMs, tumor cells, and CD8⁺ T cells; ( C ) UMAP visualization showing significant enrichment of M2 macrophages and reduction of M1 macrophages in tumor tissues; ( D ) DEGs in M2 macrophages identified from single-cell transcriptomic data: green represents 80 downregulated genes, red represents 47 upregulated genes, and blue indicates non-significant genes ( n = 2 tumor tissues, n = 2 adjacent normal liver tissues); ( E ) Workflow of bulk RNA-seq analysis (Created in BioRender); ( F ) Heatmap of the top 50 DEGs ranked by absolute logFC values across all samples; ( G ) Volcano plot showing DEGs between TET3-overexpressing and control samples: 98 downregulated genes (green) and 83 upregulated genes (red), with the top 10 most dysregulated genes annotated. TET3-overexpressing samples: n = 5; control samples: n = 5

Article Snippet: Tumor-infiltrating immune cells were isolated as single-cell suspensions using a gentleMACSTM Dissociator (130-093-235, Miltenyi Biotec Inc., USA) and a Tumor Dissociation Kit (130-096-730, Miltenyi Biotec Inc., USA).

Techniques: Single Cell, Sequencing, Functional Assay, Single-cell Analysis, Suspension, Next-Generation Sequencing, RNA Sequencing, Control