Integrative spatial and single-cell transcriptomics elucidate programmed cell death-driven tumor microenvironment dynamics in hepatocellular carcinoma

This dataset contains all key experimental and analytical materials supporting the study of programmed cell death (PCD) mechanisms and prognostic modeling in hepatocellular carcinoma (HCC). Provided resources include well-documented R scripts for data analysis and model construction, as well as original experimental data from functional validation studies, such as cell migration assay images and flow cytometry (.fcs) files. These materials enable the reproducibility of the analytical workflow, facilitate further exploration of PCD-related gene function, and support new analyses based on the experimental findings. Note that transcriptomic and clinical data referenced in the related manuscript were obtained from public repositories and are not redistributed here; users are encouraged to access those resources directly as needed. All included data are accompanied by metadata and README documentation to assist with reuse.

本数据集包含支撑肝细胞癌（hepatocellular carcinoma, HCC）中程序性细胞死亡（programmed cell death, PCD）机制与预后模型研究的全部关键实验与分析材料。所提供的资源包括用于数据分析与模型构建的文档完备的R脚本，以及功能验证实验的原始实验数据，例如细胞迁移实验图像与流式细胞术（flow cytometry）.fcs文件。这些材料可保障分析流程的可重复性，助力PCD相关基因功能的进一步探索，并支持基于该实验结果开展全新分析。请注意，相关论文中引用的转录组学与临床数据均来自公共数据库，本数据集未对其进行二次分发；建议用户根据需求直接获取这些资源。所有纳入本数据集的数据均附带元数据与README文档，以辅助后续复用。