Author
Listed:
- Maria Kondratova
(Mines Paris Tech)
- Urszula Czerwinska
(Mines Paris Tech
Centre de Recherches Interdisciplinaires)
- Nicolas Sompairac
(Mines Paris Tech
Centre de Recherches Interdisciplinaires)
- Sebastian D. Amigorena
(PSL Research University)
- Vassili Soumelis
(PSL Research University)
- Emmanuel Barillot
(Mines Paris Tech)
- Andrei Zinovyev
(Mines Paris Tech)
- Inna Kuperstein
(Mines Paris Tech)
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.
Suggested Citation
Maria Kondratova & Urszula Czerwinska & Nicolas Sompairac & Sebastian D. Amigorena & Vassili Soumelis & Emmanuel Barillot & Andrei Zinovyev & Inna Kuperstein, 2019.
"A multiscale signalling network map of innate immune response in cancer reveals cell heterogeneity signatures,"
Nature Communications, Nature, vol. 10(1), pages 1-13, December.
Handle:
RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-12270-x
DOI: 10.1038/s41467-019-12270-x
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