Shanghai Putuo District People's Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China.
Frontier Science Center for Stem Cells, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China.
Nucleic Acids Res. 2023 Jan 6;51(D1):D1425-D1431. doi: 10.1093/nar/gkac959.
The Tumor Immune Single Cell Hub 2 (TISCH2) is a resource of single-cell RNA-seq (scRNA-seq) data from human and mouse tumors, which enables comprehensive characterization of gene expression in the tumor microenvironment (TME) across multiple cancer types. As an increasing number of datasets are generated in the public domain, in this update, TISCH2 has included 190 tumor scRNA-seq datasets covering 6 million cells in 50 cancer types, with 110 newly collected datasets and almost tripling the number of cells compared with the previous release. Furthermore, TISCH2 includes several new functions that allow users to better utilize the large-scale scRNA-seq datasets. First, in the Dataset module, TISCH2 provides the cell-cell communication results in each dataset, facilitating the analyses of interacted cell types and the discovery of significant ligand-receptor pairs between cell types. TISCH2 also includes the transcription factor analyses for each dataset and visualization of the top enriched transcription factors of each cell type. Second, in the Gene module, TISCH2 adds functions for identifying correlated genes and providing survival information for the input genes. In summary, TISCH2 is a user-friendly, up-to-date and well-maintained data resource for gene expression analyses in the TME. TISCH2 is freely available at http://tisch.comp-genomics.org/.
肿瘤免疫单细胞图谱 2 (TISCH2)是一个包含人类和小鼠肿瘤单细胞 RNA 测序(scRNA-seq)数据的资源,它能够全面描述多种癌症类型肿瘤微环境(TME)中的基因表达情况。随着越来越多的数据集在公共领域中生成,在本次更新中,TISCH2 包含了 190 个肿瘤 scRNA-seq 数据集,涵盖了 50 种癌症类型的 600 万个细胞,其中包括 110 个新收集的数据集,与上一版本相比,细胞数量增加了近两倍。此外,TISCH2 还包括了一些新功能,允许用户更好地利用大规模的 scRNA-seq 数据集。首先,在数据集模块中,TISCH2 提供了每个数据集的细胞间通讯结果,有助于分析相互作用的细胞类型和发现细胞间显著的配体-受体对。TISCH2 还包括了每个数据集的转录因子分析和每个细胞类型中最丰富的转录因子的可视化。其次,在基因模块中,TISCH2 添加了识别相关基因的功能,并为输入基因提供了生存信息。总之,TISCH2 是一个用户友好、最新和维护良好的 TME 基因表达分析数据资源。TISCH2 可在 http://tisch.comp-genomics.org/ 免费获取。