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cell lines rt112  (DSMZ)


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    DSMZ cell lines rt112
    A Cell viability in <t>RT112</t> and SCaBER under siRNA treatment against FOXA1. B Venn diagram comparing differentially expressed genes in RT112 and SCaBER FOXA1 KD. C GSEA plot of Msig Hallmark GSEA Analysis of genes differentially regulated in RT112 and SCaBER cell lines upon FOXA1 siRNA (2 independent siRNA, 2 replicates). D Heatmap of genes in Hallmark interferon gamma response genes that are differentially regulated in FOXA1 KD vs Ct (min Fold Change = 1,5). E Heatmap of Top Luminal TFs expression in RT112 and SCaBER cell lines upon FOXA1 KD. F PCA projection of TCGA Tumours and CRispR mutant clones on the Basal/Luminal signatures. G GSVA analysis of FOXA1 CRispR mutant clones on Urothelial differentiation signature from Eriksson et al. H GSVA analysis of FOXA1 CRispR mutant clones on Basal TFs identified in Fig. I Overrepresentation analysis of DEG in FOXA1 mutant vs Controls. J Volcano plot of Deseq2 RNA-seq analysis comparing pooled CRispR mutant FOXA1 clones in SD48 and RT112 versus controls. K Transient overexpression of HA-FOXA1 in mutant FOXA1 CRispR clones, wildtype RT112 and SCaBER. qPCR expression of ZBED2 after transfection of HA-FOXA1 relative to control plasmid, 4 days post transfection including 24 h of Puromycin selection ( n = 3 for CrispR clones, n = 2 for WT RT112 and SCaBER). Significance was calculated using 2way ANOVA test ( p -value < 0.05 = *).
    Cell Lines Rt112, supplied by DSMZ, used in various techniques. Bioz Stars score: 95/100, based on 154 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/single-cell+spatial+transcriptomics+data/pmc10162941-299-4-14?v=DSMZ
    Average 95 stars, based on 154 article reviews
    cell lines rt112 - by Bioz Stars, 2026-08
    95/100 stars

    Images

    1) Product Images from "Epigenomic mapping identifies an enhancer repertoire that regulates cell identity in bladder cancer through distinct transcription factor networks"

    Article Title: Epigenomic mapping identifies an enhancer repertoire that regulates cell identity in bladder cancer through distinct transcription factor networks

    Journal: Oncogene

    doi: 10.1038/s41388-023-02662-1

    A Cell viability in RT112 and SCaBER under siRNA treatment against FOXA1. B Venn diagram comparing differentially expressed genes in RT112 and SCaBER FOXA1 KD. C GSEA plot of Msig Hallmark GSEA Analysis of genes differentially regulated in RT112 and SCaBER cell lines upon FOXA1 siRNA (2 independent siRNA, 2 replicates). D Heatmap of genes in Hallmark interferon gamma response genes that are differentially regulated in FOXA1 KD vs Ct (min Fold Change = 1,5). E Heatmap of Top Luminal TFs expression in RT112 and SCaBER cell lines upon FOXA1 KD. F PCA projection of TCGA Tumours and CRispR mutant clones on the Basal/Luminal signatures. G GSVA analysis of FOXA1 CRispR mutant clones on Urothelial differentiation signature from Eriksson et al. H GSVA analysis of FOXA1 CRispR mutant clones on Basal TFs identified in Fig. I Overrepresentation analysis of DEG in FOXA1 mutant vs Controls. J Volcano plot of Deseq2 RNA-seq analysis comparing pooled CRispR mutant FOXA1 clones in SD48 and RT112 versus controls. K Transient overexpression of HA-FOXA1 in mutant FOXA1 CRispR clones, wildtype RT112 and SCaBER. qPCR expression of ZBED2 after transfection of HA-FOXA1 relative to control plasmid, 4 days post transfection including 24 h of Puromycin selection ( n = 3 for CrispR clones, n = 2 for WT RT112 and SCaBER). Significance was calculated using 2way ANOVA test ( p -value < 0.05 = *).
    Figure Legend Snippet: A Cell viability in RT112 and SCaBER under siRNA treatment against FOXA1. B Venn diagram comparing differentially expressed genes in RT112 and SCaBER FOXA1 KD. C GSEA plot of Msig Hallmark GSEA Analysis of genes differentially regulated in RT112 and SCaBER cell lines upon FOXA1 siRNA (2 independent siRNA, 2 replicates). D Heatmap of genes in Hallmark interferon gamma response genes that are differentially regulated in FOXA1 KD vs Ct (min Fold Change = 1,5). E Heatmap of Top Luminal TFs expression in RT112 and SCaBER cell lines upon FOXA1 KD. F PCA projection of TCGA Tumours and CRispR mutant clones on the Basal/Luminal signatures. G GSVA analysis of FOXA1 CRispR mutant clones on Urothelial differentiation signature from Eriksson et al. H GSVA analysis of FOXA1 CRispR mutant clones on Basal TFs identified in Fig. I Overrepresentation analysis of DEG in FOXA1 mutant vs Controls. J Volcano plot of Deseq2 RNA-seq analysis comparing pooled CRispR mutant FOXA1 clones in SD48 and RT112 versus controls. K Transient overexpression of HA-FOXA1 in mutant FOXA1 CRispR clones, wildtype RT112 and SCaBER. qPCR expression of ZBED2 after transfection of HA-FOXA1 relative to control plasmid, 4 days post transfection including 24 h of Puromycin selection ( n = 3 for CrispR clones, n = 2 for WT RT112 and SCaBER). Significance was calculated using 2way ANOVA test ( p -value < 0.05 = *).

    Techniques Used: Expressing, CRISPR, Mutagenesis, Clone Assay, RNA Sequencing Assay, Over Expression, Transfection, Plasmid Preparation, Selection

    A TCGA expression of ZBED2 by Subtypes. B TCGA expression Heatmap of ZBED2 and FOXA1 and TCGA correlation between ZBED2 and FOXA1. C Expression of FOXA1 and ZBED2 in single-cell transcriptomics from bladder cancer cell lines in the Cancer Cell Line Encyclopedia (CCLE), highlighting the nearly mutually exclusive expression of these genes. D Genome browser view of ZBED2 and FOXA1 loci in SD48 and 5637 cell lines. E GSEA analysis (Hallmark) of ZBED2 correlated genes in basal cells population of GSM4307111 scRNA-seq Tumour. F GSEA analysis (Hallmark) of gene expression upon siZBED2 KD in RT112 (siZBED2-1 and siZBED2-2). G 3’seq STAT2 and CD274 (PD-L1) expression in RT112 and SCaBER after siZBED2 and siFOXA1.
    Figure Legend Snippet: A TCGA expression of ZBED2 by Subtypes. B TCGA expression Heatmap of ZBED2 and FOXA1 and TCGA correlation between ZBED2 and FOXA1. C Expression of FOXA1 and ZBED2 in single-cell transcriptomics from bladder cancer cell lines in the Cancer Cell Line Encyclopedia (CCLE), highlighting the nearly mutually exclusive expression of these genes. D Genome browser view of ZBED2 and FOXA1 loci in SD48 and 5637 cell lines. E GSEA analysis (Hallmark) of ZBED2 correlated genes in basal cells population of GSM4307111 scRNA-seq Tumour. F GSEA analysis (Hallmark) of gene expression upon siZBED2 KD in RT112 (siZBED2-1 and siZBED2-2). G 3’seq STAT2 and CD274 (PD-L1) expression in RT112 and SCaBER after siZBED2 and siFOXA1.

    Techniques Used: Expressing, Single-cell Transcriptomics



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    Image Search Results


    (a) Simplified cross-section of the human epidermis, highlighting squamous cells, melanocytes and basal cells. Coloured regions represent cSCC (green), which originates from squamous cells, melanoma (orange), which originates from melanocytes, and BCC (blue), which originates from basal cells. Two orange melanocytes are shown in the dermal region as occurs in invasive melanoma; other cells in the lower dermis layer are not depicted. (b) Overview of sample design and technologies used to generate data for this project. ROI - region of interest; FOV - field of view; S - cSCC; B - BCC; M - melanoma; HC - healthy (cancer patient); HNC - healthy (non-cancer patient donor). Technologies included are single cell RNA sequencing for fresh samples, single nuclei sequencing for formalin-fixed samples, Visium, Xenium, CosMX, GeoMX DSP for whole transcriptome, GeoMX DSP for proteins, Polaris, RNAscope, the proximal ligation assay, spatial glycomics and CODEX.

    Journal: bioRxiv

    Article Title: Integrating 12 Spatial and Single Cell Technologies to Characterise Tumour Neighbourhoods and Cellular Interactions in three Skin Cancer Types

    doi: 10.1101/2025.07.25.666708

    Figure Lengend Snippet: (a) Simplified cross-section of the human epidermis, highlighting squamous cells, melanocytes and basal cells. Coloured regions represent cSCC (green), which originates from squamous cells, melanoma (orange), which originates from melanocytes, and BCC (blue), which originates from basal cells. Two orange melanocytes are shown in the dermal region as occurs in invasive melanoma; other cells in the lower dermis layer are not depicted. (b) Overview of sample design and technologies used to generate data for this project. ROI - region of interest; FOV - field of view; S - cSCC; B - BCC; M - melanoma; HC - healthy (cancer patient); HNC - healthy (non-cancer patient donor). Technologies included are single cell RNA sequencing for fresh samples, single nuclei sequencing for formalin-fixed samples, Visium, Xenium, CosMX, GeoMX DSP for whole transcriptome, GeoMX DSP for proteins, Polaris, RNAscope, the proximal ligation assay, spatial glycomics and CODEX.

    Article Snippet: Cells expressing the two genes are visualized on single-cell level resolution spatial data from STOmics and Curio-Seeker (Takara Bio, USA) melanoma samples and appear to be in spatial proximity ( ).

    Techniques: RNA Sequencing, Sequencing, RNAscope, Ligation

    (a) Gene specificity score (GSS) and association of spatial spots with skin cancer heritability. GSS score for each gene in a spot/cell represents the enrichment of the gene as a top rank most abundant gene in the spot/cell and its neighbour spots/cells in an anatomical region, a spatial domain, or a cell type. The p-value shows the spatial heritability enrichment significance of a spot with a trait based on SNPs mapped to the genes with high GSS scores (one-sided Z-test for stratified coefficient different to 0). The p-value is more significant if the SNPs that are mapped to the high GSS genes explain a higher proportion of heritability for the trait. (b) Cell types with the highest enrichment of heritability explained by SNPs tagged to GSS genes of cells in a cell type. The white asterisks indicate the most enriched cell-type for heritability of cutaneous melanoma, cSCC and BCC traits. (c) gsMAP significance spatial heritability enrichment is shown at single-cell resolution across the tissue (upper tissue plots) or per annotated skin regions (lower violin plots) from the cosMx data of the sample mel48974. (d) LR pairs with significant association with SNP heritability explained by the corresponding cell types. The rectangles show cases where both L and R genes had PCC >0.3 between GSS of the gene and the gsMAP P-values (the significance level for the LD stratified coefficients for the spot bigger than 0). The results suggest which LR pairs are related with the heritability of a cell type pairs. (e) GSS of two LR pairs showing specificity of the L and R genes to tissue regions at the immune-rich dermal layers and the epidermis of the skin. (f) Manhattan plot showing top significant GWAS SNPs co-localizing with genes in melanocytes (red) and T cells (blue) that had the highest Pearson correlation between GSS and the gsMAP trait association P-value or associated with SNPs with genome-wide significance. The Y-axis shows the -log(P-value) from GWAS analysis.

    Journal: bioRxiv

    Article Title: Integrating 12 Spatial and Single Cell Technologies to Characterise Tumour Neighbourhoods and Cellular Interactions in three Skin Cancer Types

    doi: 10.1101/2025.07.25.666708

    Figure Lengend Snippet: (a) Gene specificity score (GSS) and association of spatial spots with skin cancer heritability. GSS score for each gene in a spot/cell represents the enrichment of the gene as a top rank most abundant gene in the spot/cell and its neighbour spots/cells in an anatomical region, a spatial domain, or a cell type. The p-value shows the spatial heritability enrichment significance of a spot with a trait based on SNPs mapped to the genes with high GSS scores (one-sided Z-test for stratified coefficient different to 0). The p-value is more significant if the SNPs that are mapped to the high GSS genes explain a higher proportion of heritability for the trait. (b) Cell types with the highest enrichment of heritability explained by SNPs tagged to GSS genes of cells in a cell type. The white asterisks indicate the most enriched cell-type for heritability of cutaneous melanoma, cSCC and BCC traits. (c) gsMAP significance spatial heritability enrichment is shown at single-cell resolution across the tissue (upper tissue plots) or per annotated skin regions (lower violin plots) from the cosMx data of the sample mel48974. (d) LR pairs with significant association with SNP heritability explained by the corresponding cell types. The rectangles show cases where both L and R genes had PCC >0.3 between GSS of the gene and the gsMAP P-values (the significance level for the LD stratified coefficients for the spot bigger than 0). The results suggest which LR pairs are related with the heritability of a cell type pairs. (e) GSS of two LR pairs showing specificity of the L and R genes to tissue regions at the immune-rich dermal layers and the epidermis of the skin. (f) Manhattan plot showing top significant GWAS SNPs co-localizing with genes in melanocytes (red) and T cells (blue) that had the highest Pearson correlation between GSS and the gsMAP trait association P-value or associated with SNPs with genome-wide significance. The Y-axis shows the -log(P-value) from GWAS analysis.

    Article Snippet: Cells expressing the two genes are visualized on single-cell level resolution spatial data from STOmics and Curio-Seeker (Takara Bio, USA) melanoma samples and appear to be in spatial proximity ( ).

    Techniques: Genome Wide

    Journal: Cell

    Article Title: Spatiotemporal analysis of human intestinal development at single-cell resolution

    doi: 10.1016/j.cell.2020.12.016

    Figure Lengend Snippet:

    Article Snippet: STAR-FINDer Single Cell and Spatial Transcriptomics Data Portal , This study , https://simmonslab.shinyapps.io/FetalAtlasDataPortal.

    Techniques: Conjugation Assay, Recombinant, Saline, Modification, Plasmid Preparation, Gene Expression, RNAscope, Generated, Software