PARCB Time Course Multiomics Explorer

Welcome to the PARCB Time Course Multiomics Explorer! Here, we performed a multi-omics time course analysis of our pan-small cell neuroendorcrine cancer model (termed PARCB), a forward genetic transformation using human naive prostate basal epithelial cells (Park et al, 2016). Our study reveals temporal and transcriptional patterns in the evolution of SCN tumors and uncovers additional pan-tissue parallels between prostate and lung cancers, and normal neuroendocrine cells. We created this tool to allow users to explore both bulk RNA-sequencing and single-cell RNA-sequencing of our PARCB time course dataset. Check out our paper here!
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2D PCA and Boxplots

Click here to visualize gene expression of our PARCB time course samples on a 2D principal component analysis (PCA). Here, users can also visualize PARCB time course transcriptomic data by their real timepoint labels or by their determined hierarchical cluster (HC).

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3D PCA Plot

Click here to visualize gene expression of our PARCB time course samples on a 3D PCA. Outputted figures are rotatable for better perception of arc-like and bifurication trajectories identified in our paper.

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Manuscript Figures

Click here to visualize 3-D presentation of Figure S7, S8, and S9 in the manuscript.

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Single-Cell UMAP

Click here to visualize gene expression of our PARCB time course single-cell data. Here, single-cells from four time-defined serial tumor sets: P2, P5, P7 and P8 (TP3-TP6) underwent uniform manifold approximation and projection (UMAP).

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