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A multiscale signalling network map of innate immune response in cancer reveals cell heterogeneity signatures
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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6805895/ https://www.ncbi.nlm.nih.gov/pubmed/31641119 http://dx.doi.org/10.1038/s41467-019-12270-x |
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author | Kondratova, Maria Czerwinska, Urszula Sompairac, Nicolas Amigorena, Sebastian D. Soumelis, Vassili Barillot, Emmanuel Zinovyev, Andrei Kuperstein, Inna |
author_facet | Kondratova, Maria Czerwinska, Urszula Sompairac, Nicolas Amigorena, Sebastian D. Soumelis, Vassili Barillot, Emmanuel Zinovyev, Andrei Kuperstein, Inna |
author_sort | Kondratova, Maria |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6805895 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-68058952019-10-24 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 Nat Commun Article 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. Nature Publishing Group UK 2019-10-22 /pmc/articles/PMC6805895/ /pubmed/31641119 http://dx.doi.org/10.1038/s41467-019-12270-x Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Kondratova, Maria Czerwinska, Urszula Sompairac, Nicolas Amigorena, Sebastian D. Soumelis, Vassili Barillot, Emmanuel Zinovyev, Andrei Kuperstein, Inna A multiscale signalling network map of innate immune response in cancer reveals cell heterogeneity signatures |
title | A multiscale signalling network map of innate immune response in cancer reveals cell heterogeneity signatures |
title_full | A multiscale signalling network map of innate immune response in cancer reveals cell heterogeneity signatures |
title_fullStr | A multiscale signalling network map of innate immune response in cancer reveals cell heterogeneity signatures |
title_full_unstemmed | A multiscale signalling network map of innate immune response in cancer reveals cell heterogeneity signatures |
title_short | A multiscale signalling network map of innate immune response in cancer reveals cell heterogeneity signatures |
title_sort | multiscale signalling network map of innate immune response in cancer reveals cell heterogeneity signatures |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6805895/ https://www.ncbi.nlm.nih.gov/pubmed/31641119 http://dx.doi.org/10.1038/s41467-019-12270-x |
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