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CancerGeneNet: linking driver genes to cancer hallmarks
CancerGeneNet (https://signor.uniroma2.it/CancerGeneNet/) is a resource that links genes that are frequently mutated in cancers to cancer phenotypes. The resource takes advantage of a curation effort aimed at embedding a large fraction of the gene products that are found altered in cancer cells into...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6943052/ https://www.ncbi.nlm.nih.gov/pubmed/31598703 http://dx.doi.org/10.1093/nar/gkz871 |
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author | Iannuccelli, Marta Micarelli, Elisa Surdo, Prisca Lo Palma, Alessandro Perfetto, Livia Rozzo, Ilaria Castagnoli, Luisa Licata, Luana Cesareni, Gianni |
author_facet | Iannuccelli, Marta Micarelli, Elisa Surdo, Prisca Lo Palma, Alessandro Perfetto, Livia Rozzo, Ilaria Castagnoli, Luisa Licata, Luana Cesareni, Gianni |
author_sort | Iannuccelli, Marta |
collection | PubMed |
description | CancerGeneNet (https://signor.uniroma2.it/CancerGeneNet/) is a resource that links genes that are frequently mutated in cancers to cancer phenotypes. The resource takes advantage of a curation effort aimed at embedding a large fraction of the gene products that are found altered in cancer cells into a network of causal protein relationships. Graph algorithms, in turn, allow to infer likely paths of causal interactions linking cancer associated genes to cancer phenotypes thus offering a rational framework for the design of strategies to revert disease phenotypes. CancerGeneNet bridges two interaction layers by connecting proteins whose activities are affected by cancer drivers to proteins that impact on the ‘hallmarks of cancer’. In addition, CancerGeneNet annotates curated pathways that are relevant to rationalize the pathological consequences of cancer driver mutations in selected common cancers and ‘MiniPathways’ illustrating regulatory circuits that are frequently altered in different cancers. |
format | Online Article Text |
id | pubmed-6943052 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-69430522020-01-08 CancerGeneNet: linking driver genes to cancer hallmarks Iannuccelli, Marta Micarelli, Elisa Surdo, Prisca Lo Palma, Alessandro Perfetto, Livia Rozzo, Ilaria Castagnoli, Luisa Licata, Luana Cesareni, Gianni Nucleic Acids Res Database Issue CancerGeneNet (https://signor.uniroma2.it/CancerGeneNet/) is a resource that links genes that are frequently mutated in cancers to cancer phenotypes. The resource takes advantage of a curation effort aimed at embedding a large fraction of the gene products that are found altered in cancer cells into a network of causal protein relationships. Graph algorithms, in turn, allow to infer likely paths of causal interactions linking cancer associated genes to cancer phenotypes thus offering a rational framework for the design of strategies to revert disease phenotypes. CancerGeneNet bridges two interaction layers by connecting proteins whose activities are affected by cancer drivers to proteins that impact on the ‘hallmarks of cancer’. In addition, CancerGeneNet annotates curated pathways that are relevant to rationalize the pathological consequences of cancer driver mutations in selected common cancers and ‘MiniPathways’ illustrating regulatory circuits that are frequently altered in different cancers. Oxford University Press 2020-01-08 2019-10-10 /pmc/articles/PMC6943052/ /pubmed/31598703 http://dx.doi.org/10.1093/nar/gkz871 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Database Issue Iannuccelli, Marta Micarelli, Elisa Surdo, Prisca Lo Palma, Alessandro Perfetto, Livia Rozzo, Ilaria Castagnoli, Luisa Licata, Luana Cesareni, Gianni CancerGeneNet: linking driver genes to cancer hallmarks |
title | CancerGeneNet: linking driver genes to cancer hallmarks |
title_full | CancerGeneNet: linking driver genes to cancer hallmarks |
title_fullStr | CancerGeneNet: linking driver genes to cancer hallmarks |
title_full_unstemmed | CancerGeneNet: linking driver genes to cancer hallmarks |
title_short | CancerGeneNet: linking driver genes to cancer hallmarks |
title_sort | cancergenenet: linking driver genes to cancer hallmarks |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6943052/ https://www.ncbi.nlm.nih.gov/pubmed/31598703 http://dx.doi.org/10.1093/nar/gkz871 |
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