Journal: Cell Reports Medicine
Article Title: Targeting TPX2-dependent lineage plasticity by CDK4/6 inhibition reverses therapy resistance in neuroendocrine bladder carcinoma
doi: 10.1016/j.xcrm.2026.102712
Figure Lengend Snippet: Single-cell transcriptomics reveals heterogeneity of the cell cycle dynamics underlying NE lineage plasticity (A and B) UMAP visualization of single-cell transcriptomes from the in-house (A, 64,756 cells) and public (B, 201,720 cells) scRNA-seq cohorts, colored by major cell type annotations. The zoomed views show the UMAP visualizations of epithelial cells, classified into lu/ba, NE-like, and NE subtypes. (C) Dot plot showing the expression patterns of lu/ba, NE-like, and NE signature genes across epithelial cell subtypes from the in-house and public cohorts. (D) KEGG pathway enrichment analysis of DEGs from in-house scRNA-seq cohort, showing the top enriched pathways for NE-like vs. lu/ba epithelial cells and NE vs. lu/ba epithelial cells, with cell cycle-related pathways prominently enriched in both comparisons. (E) NMF-based similarity matrix of integrated epithelial cells from both in-house and public scRNA-seq cohorts was constructed with NE differentiation-associated genes from the MEmidnightblue module were identified via WGCNA. (F) UMAP visualization of epithelial cells from (E) colored by dominant MP assignment. (G) Heatmap showing the observed-to-expected ratio (R o/e) of meta-program-assigned epithelial cells across lu/ba, NE-like, and NE subtypes. (H) Sankey diagram showing the correspondence between NE/NE-like subtype annotations and dominant MP assignments. NE-like cells are predominantly associated with MP1, whereas NE-like cells align with MP2. (I) GSEA plot showing the enrichment scores for the G2/M and G1/S cell cycle phases for the MP1 and MP2 groups. NES, normalized enrichment score. (J) Cell cycle phases of lu/ba, NE-like, and NE epithelial cells from the in-house and public scRNA-seq cohorts.
Article Snippet: Cell cycle analysis kit , MultiScience , Cat#CCS012.
Techniques: Single-cell Transcriptomics, Single Cell, Expressing, Construct