Processed data for study "Spatiotemporal lineage tracing reveals the dynamic spatial architecture of tumour growth and metastasis"

This repository contains processed data associated with the manuscript "Spatiotemporal lineage tracing reveals the dynamic spatial architecture of tumour growth and metastasis" (Jones*, Sun*, et al bioRxiv 2025). In this study, spatially-resolved lineage tracing was performed in the KP autochthonous mouse model of non-small-cell lung cancer. Tumors were initiated with Cre recombinase (and optionally an additional gRNA targeting the other well-studied tumor suppressors) and allowed to grow for approximately 3-5 months at which point mice were sacrificed and tumors harvested. Tissue sections were analyzed with spatial transcritpomics technologies, Slide-seq and Slide-tags, and three libraries were collected: gene expression, lineage-tracing barcodes, and spatial coordinates. Data was processed using a custom pipeline described in our manuscript linked above. Data here represents the derived processed data from our analysis. Briefly, however, we have provided here processed AnnData objects for the spatial datasets, lineage-tracing allele tables and trees, and some derived statistics like plasticity scores. For code used in this study, we additionally have provided a reproducibility repository at https://github.com/mattjones315/KPSpatial-release.本代码仓库包含与研究论文《时空谱系追踪揭示肿瘤生长与转移的动态空间架构》（Jones*、Sun*等，bioRxiv 2025）相关的已处理数据。 本研究在非小细胞肺癌KP自发小鼠模型中开展了空间分辨谱系追踪实验：首先通过Cre重组酶（Cre recombinase）启动肿瘤发生，还可选择性添加靶向另一经典研究肿瘤抑制因子的向导RNA（gRNA）；待肿瘤生长约3-5个月后，处死小鼠并获取肿瘤组织。随后采用空间转录组学技术Slide-seq与Slide-tags对组织切片进行检测，共收集三类文库：基因表达文库、谱系追踪条形码文库与空间坐标文库。所有数据均通过上述论文中描述的定制化分析流程完成处理。 本仓库所提供的数据均为本研究分析得到的衍生处理后数据集。 简言之，本次公开的内容包括空间转录组数据集对应的处理后AnnData对象、谱系追踪等位基因表与谱系树，以及可塑性评分等衍生统计指标。 本研究所用的代码已在可复现代码仓库https://github.com/mattjones315/KPSpatial-release中公开。