A multiscale signalling network map of innate immune response in cancer reveals cell heterogeneity signatures

被引:40
作者
Kondratova, Maria [1 ]
Czerwinska, Urszula [1 ,2 ]
Sompairac, Nicolas [1 ,2 ]
Amigorena, Sebastian D. [3 ]
Soumelis, Vassili [3 ]
Barillot, Emmanuel [1 ]
Zinovyev, Andrei [1 ]
Kuperstein, Inna [1 ]
机构
[1] PSL Res Univ, Inst Curie, U900, INSERM, F-75005 Paris, France
[2] Univ Paris 05, Ctr Rech Interdisciplinaires, Paris, France
[3] PSL Res Univ, Inst Curie, INSERM, U932, F-75005 Paris, France
关键词
SUPPRESSOR-CELLS; TUMOR MICROENVIRONMENT; SYSTEMS BIOLOGY; MAST-CELLS; COMBINATION; TARGETS; IMMUNOTHERAPY; MACROPHAGES; ACTIVATION; SUBSETS;
D O I
10.1038/s41467-019-12270-x
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 protumor 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.
引用
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页数:13
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