Longitudinal Multi-Modal Profiling Reveals Evolutionary Osteosarcoma Progression and Therapy Resistance

This dataset contains filtered gene–barcode count matrices generated usingcellranger-7.1.0 for single-cell RNA-sequencing data across three stages of osteosarcoma progression: Diagnosis, Resection, and Recurrence. Only the Cell Ranger “filtered_feature_bc_matrix” outputs are provided (i.e., high-confidence cells retained after Cell Ranger’s quality control), excluding raw and intermediate files to reduce storage size and focus on downstream-ready data. The zipped archive includes separate folders for each stage (Diagnosis, Resection, Recurrence), each containing: Gene expression count matrix Cell barcode annotations Feature (gene) annotations in standard Cell Ranger formats (matrix.mtx.gz, barcodes.tsv.gz, features.tsv.gz). These matrices are suitable for immediate analysis in tools such as Seurat, Scanpy, and other scRNA-seq workflows.本数据集包含通过cellranger-7.1.0生成的过滤后的基因-条形码计数矩阵，涵盖骨肉瘤进展三个阶段的单细胞RNA测序数据，分别为初诊（Diagnosis）、切除（Resection）及复发（Recurrence）阶段。 本数据集仅提供Cell Ranger的"filtered_feature_bc_matrix"输出结果（即经过Cell Ranger质控后保留的高置信度细胞数据），未包含原始文件与中间文件，以降低存储占用并聚焦于可直接用于下游分析的数据。 该压缩归档包为每个阶段（初诊、切除、复发）均设置了独立文件夹，每个文件夹内包含以下遵循Cell Ranger标准格式的文件： - 基因表达计数矩阵 - 细胞条形码注释文件 - 特征（基因）注释文件 具体文件格式为matrix.mtx.gz、barcodes.tsv.gz、features.tsv.gz。 这些矩阵可直接用于Seurat、Scanpy及其他单细胞RNA测序分析流程工具中开展分析。