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Global view of a drug-sensitivity gene network

An important challenge in drug development is to gain insight into the mechanism of drug sensitivity. Looking for insights into the global relationships between drugs and their sensitivity genes would be expected to reveal mechanism of drug sensitivity. Here we constructed a drug-sensitivity gene ne...

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Autores principales: Yang, Haixiu, Zhang, Yunpeng, Wang, Jiasheng, Wu, Tan, Liu, Siyao, Xu, Yanjun, Shang, Desi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5790461/
https://www.ncbi.nlm.nih.gov/pubmed/29423044
http://dx.doi.org/10.18632/oncotarget.23229
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author Yang, Haixiu
Zhang, Yunpeng
Wang, Jiasheng
Wu, Tan
Liu, Siyao
Xu, Yanjun
Shang, Desi
author_facet Yang, Haixiu
Zhang, Yunpeng
Wang, Jiasheng
Wu, Tan
Liu, Siyao
Xu, Yanjun
Shang, Desi
author_sort Yang, Haixiu
collection PubMed
description An important challenge in drug development is to gain insight into the mechanism of drug sensitivity. Looking for insights into the global relationships between drugs and their sensitivity genes would be expected to reveal mechanism of drug sensitivity. Here we constructed a drug-sensitivity gene network (DSGN) based on the relationships between drugs and their sensitivity genes, using drug screened genomic data from the NCI-60 cell line panel, including 181 drugs and 1057 sensitivity genes, and 1646 associations between them. Through network analysis, we found that two drugs that share the same sensitivity genes tend to share the same Anatomical Therapeutic Chemical classification and side effects. We then found that the sensitivity genes of same drugs tend to cluster together in the human interactome and participate in the same biological function modules (pathways). Finally, we noticed that the sensitivity genes and target genes of the same drug have a significant dense distance in the human interactome network and they were functionally related. For example, target genes such as epidermal growth factor receptor gene can activate downstream sensitivity genes of the same drug in the PI3K/Akt pathway. Thus, the DSGN would provide great insights into the mechanism of drug sensitivity.
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spelling pubmed-57904612018-02-08 Global view of a drug-sensitivity gene network Yang, Haixiu Zhang, Yunpeng Wang, Jiasheng Wu, Tan Liu, Siyao Xu, Yanjun Shang, Desi Oncotarget Research Paper An important challenge in drug development is to gain insight into the mechanism of drug sensitivity. Looking for insights into the global relationships between drugs and their sensitivity genes would be expected to reveal mechanism of drug sensitivity. Here we constructed a drug-sensitivity gene network (DSGN) based on the relationships between drugs and their sensitivity genes, using drug screened genomic data from the NCI-60 cell line panel, including 181 drugs and 1057 sensitivity genes, and 1646 associations between them. Through network analysis, we found that two drugs that share the same sensitivity genes tend to share the same Anatomical Therapeutic Chemical classification and side effects. We then found that the sensitivity genes of same drugs tend to cluster together in the human interactome and participate in the same biological function modules (pathways). Finally, we noticed that the sensitivity genes and target genes of the same drug have a significant dense distance in the human interactome network and they were functionally related. For example, target genes such as epidermal growth factor receptor gene can activate downstream sensitivity genes of the same drug in the PI3K/Akt pathway. Thus, the DSGN would provide great insights into the mechanism of drug sensitivity. Impact Journals LLC 2017-12-14 /pmc/articles/PMC5790461/ /pubmed/29423044 http://dx.doi.org/10.18632/oncotarget.23229 Text en Copyright: © 2018 Yang et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Yang, Haixiu
Zhang, Yunpeng
Wang, Jiasheng
Wu, Tan
Liu, Siyao
Xu, Yanjun
Shang, Desi
Global view of a drug-sensitivity gene network
title Global view of a drug-sensitivity gene network
title_full Global view of a drug-sensitivity gene network
title_fullStr Global view of a drug-sensitivity gene network
title_full_unstemmed Global view of a drug-sensitivity gene network
title_short Global view of a drug-sensitivity gene network
title_sort global view of a drug-sensitivity gene network
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5790461/
https://www.ncbi.nlm.nih.gov/pubmed/29423044
http://dx.doi.org/10.18632/oncotarget.23229
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