Additional file 1 of An atlas of cell-type-specific interactome networks across 44 human tumor types

Additional file 1: Table S1. The collection of scRNA-seq data used in this study. Table S2. The scRNA-seq datasets of solid tumor samples used in this study. Table S3. The scRNA-seq datasets of hematologic malignancy samples used in this study. Table S4. Curated marker genes for different cell types. Table S5. Curated marker genes for different immune cell subsets. Table S6. Information of four reference networks used in this study. Table S7. Curated COSMIC somatic mutation data for each solid tumor type. Table S8. Number of nodes and edges of cell-type-specific networks in each tumor type. Table S9. Number of nodes and edges of cell-subset-specific networks in pan-tumor TIMEs. Table S10. DisGeNET disease gene sets used in network performance evaluation. Table S11. Canonical marker genes for 8 cell subsets in myeloid cells of pan-tumor TIMEs. Table S12. The data collection of six ICB therapy cohorts.

附加文件1：表S1。本研究所用单细胞RNA测序（scRNA-seq）数据集集合。表S2。本研究所用实体瘤样本的单细胞RNA测序数据集。表S3。本研究所用血液恶性肿瘤样本的单细胞RNA测序数据集。表S4。不同细胞类型的精选标记基因集。表S5。不同免疫细胞亚群的精选标记基因集。表S6。本研究所用4种参考网络的相关信息。表S7。各实体瘤类型的精选癌症体细胞突变目录（COSMIC）体细胞突变数据集。表S8。各肿瘤类型的细胞类型特异性网络的节点数与边数。表S9。泛肿瘤肿瘤免疫微环境（TIME）中细胞亚群特异性网络的节点数与边数。表S10。用于网络性能评估的DisGeNET疾病基因集。表S11。泛肿瘤肿瘤免疫微环境髓系细胞中8种细胞亚群的经典标记基因集。表S12。本研究所用6个免疫检查点阻断（ICB）治疗队列的数据集集合。