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A multiscale signalling network map of innate immune response in cancer reveals cell heterogeneity signatures.
Kondratova, Maria; Czerwinska, Urszula; Sompairac, Nicolas; Amigorena, Sebastian D; Soumelis, Vassili; Barillot, Emmanuel; Zinovyev, Andrei; Kuperstein, Inna.
Afiliação
  • Kondratova M; Institut Curie, PSL Research University, Mines Paris Tech, Inserm, U900, 75005, Paris, France.
  • Czerwinska U; Institut Curie, PSL Research University, Mines Paris Tech, Inserm, U900, 75005, Paris, France.
  • Sompairac N; Université Paris Descartes, Centre de Recherches Interdisciplinaires, Paris, France.
  • Amigorena SD; Institut Curie, PSL Research University, Mines Paris Tech, Inserm, U900, 75005, Paris, France.
  • Soumelis V; Université Paris Descartes, Centre de Recherches Interdisciplinaires, Paris, France.
  • Barillot E; Institut Curie, PSL Research University, Inserm, U932, 75005, Paris, France.
  • Zinovyev A; Institut Curie, PSL Research University, Inserm, U932, 75005, Paris, France.
  • Kuperstein I; Institut Curie, PSL Research University, Mines Paris Tech, Inserm, U900, 75005, Paris, France.
Nat Commun ; 10(1): 4808, 2019 10 22.
Article em En | MEDLINE | ID: mdl-31641119
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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Imunidade Inata / Neoplasias Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Imunidade Inata / Neoplasias Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article