A global database for modeling tumor-immune cell communication

作者：Xie, Yunjin; Zhou, Weiwei; Shi, Jingyi; Xu, Mengjia; Lin, Zijing; Li, Donghao; Li, Jianing; Cheng, Shujun^*; Shao, Tingting^*; Xu, Juan^*

来源：Scientific Data, 2023, 10(1): 444.

DOI：10.1038/s41597-023-02342-5

• SINGLE-CELL
• MICROENVIRONMENT
• EXPRESSION
• APOPTOSIS
• GENE

Communications between tumor cells and surrounding immune cells help shape the tumor immunity continuum. Recent breakthroughs in high-throughput technologies as well as computational algorithms had reported many important tumor-immune cell (TIC) communications, which were scattered in thousands of published studies and impeded systematical characterization of the TIC communications across cancer. Here, a comprehensive database, TICCom, was developed to model TIC communications, containing 739 experimentally-validated or manually-curated interactions collected from more than 3,000 literatures as well as 4,537,709 predicted interactions inferred via six computational algorithms by reanalyzing 32 scRNA-seq datasets and bulk RNA-seq data across 25 cancer types. The communications between tumor cells and 14 types of immune cells were characterized, and the involved ligand-receptor interactions were further integrated. 14190 human and 3650 mouse integrated ligand-receptor interactions with supplemented corresponding function information were also stored in the TICCom database. Our database would serve as a valuable resource for investigating TIC communications.

• 单位
  中国医学科学院北京协和医院; 1; 哈尔滨医科大学