先天免疫系统
生物
免疫系统
肿瘤微环境
癌症
计算生物学
癌细胞
信号
免疫学
细胞生物学
遗传学
作者
Maria Kondratova,Urszula Czerwińska,Nicolas Sompairac,Sébastian Amigorena,Vassili Soumelis,Emmanuel Barillot,Andrei Zinovyev,Inna Kuperstein
标识
DOI:10.1038/s41467-019-12270-x
摘要
Abstract The lack of integrated resources depicting the complexity of the innate immune response in cancer represents a bottleneck for high-throughput data interpretation. To address this challenge, we perform a systematic manual literature mining of molecular mechanisms governing the innate immune response in cancer and represent it as a signalling network map. The cell-type specific signalling maps of macrophages, dendritic cells, myeloid-derived suppressor cells and natural killers are constructed and integrated into a comprehensive meta map of the innate immune response in cancer. The meta-map contains 1466 chemical species as nodes connected by 1084 biochemical reactions, and it is supported by information from 820 articles. The resource helps to interpret single cell RNA-Seq data from macrophages and natural killer cells in metastatic melanoma that reveal different anti- or pro-tumor sub-populations within each cell type. Here, we report a new open source analytic platform that supports data visualisation and interpretation of tumour microenvironment activity in cancer.
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