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Allele-Specific Behavior of Molecular Networks: Understanding Small-Molecule Drug Response in Yeast
The study of systems genetics is changing the way the genetic and molecular basis of phenotypic variation, such as disease susceptibility and drug response, is being analyzed. Moreover, systems genetics aids in the translation of insights from systems biology into genetics. The use of systems geneti...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3537669/ https://www.ncbi.nlm.nih.gov/pubmed/23308257 http://dx.doi.org/10.1371/journal.pone.0053581 |
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author | Zhang, Fan Gao, Bo Xu, Liangde Li, Chunquan Hao, Dapeng Zhang, Shaojun Zhou, Meng Su, Fei Chen, Xi Zhi, Hui Li, Xia |
author_facet | Zhang, Fan Gao, Bo Xu, Liangde Li, Chunquan Hao, Dapeng Zhang, Shaojun Zhou, Meng Su, Fei Chen, Xi Zhi, Hui Li, Xia |
author_sort | Zhang, Fan |
collection | PubMed |
description | The study of systems genetics is changing the way the genetic and molecular basis of phenotypic variation, such as disease susceptibility and drug response, is being analyzed. Moreover, systems genetics aids in the translation of insights from systems biology into genetics. The use of systems genetics enables greater attention to be focused on the potential impact of genetic perturbations on the molecular states of networks that in turn affects complex traits. In this study, we developed models to detect allele-specific perturbations on interactions, in which a genetic locus with alternative alleles exerted a differing influence on an interaction. We utilized the models to investigate the dynamic behavior of an integrated molecular network undergoing genetic perturbations in yeast. Our results revealed the complexity of regulatory relationships between genetic loci and networks, in which different genetic loci perturb specific network modules. In addition, significant within-module functional coherence was found. We then used the network perturbation model to elucidate the underlying molecular mechanisms of individual differences in response to 100 diverse small molecule drugs. As a result, we identified sub-networks in the integrated network that responded to variations in DNA associated with response to diverse compounds and were significantly enriched for known drug targets. Literature mining results provided strong independent evidence for the effectiveness of these genetic perturbing networks in the elucidation of small-molecule responses in yeast. |
format | Online Article Text |
id | pubmed-3537669 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-35376692013-01-10 Allele-Specific Behavior of Molecular Networks: Understanding Small-Molecule Drug Response in Yeast Zhang, Fan Gao, Bo Xu, Liangde Li, Chunquan Hao, Dapeng Zhang, Shaojun Zhou, Meng Su, Fei Chen, Xi Zhi, Hui Li, Xia PLoS One Research Article The study of systems genetics is changing the way the genetic and molecular basis of phenotypic variation, such as disease susceptibility and drug response, is being analyzed. Moreover, systems genetics aids in the translation of insights from systems biology into genetics. The use of systems genetics enables greater attention to be focused on the potential impact of genetic perturbations on the molecular states of networks that in turn affects complex traits. In this study, we developed models to detect allele-specific perturbations on interactions, in which a genetic locus with alternative alleles exerted a differing influence on an interaction. We utilized the models to investigate the dynamic behavior of an integrated molecular network undergoing genetic perturbations in yeast. Our results revealed the complexity of regulatory relationships between genetic loci and networks, in which different genetic loci perturb specific network modules. In addition, significant within-module functional coherence was found. We then used the network perturbation model to elucidate the underlying molecular mechanisms of individual differences in response to 100 diverse small molecule drugs. As a result, we identified sub-networks in the integrated network that responded to variations in DNA associated with response to diverse compounds and were significantly enriched for known drug targets. Literature mining results provided strong independent evidence for the effectiveness of these genetic perturbing networks in the elucidation of small-molecule responses in yeast. Public Library of Science 2013-01-04 /pmc/articles/PMC3537669/ /pubmed/23308257 http://dx.doi.org/10.1371/journal.pone.0053581 Text en © 2013 Zhang et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Zhang, Fan Gao, Bo Xu, Liangde Li, Chunquan Hao, Dapeng Zhang, Shaojun Zhou, Meng Su, Fei Chen, Xi Zhi, Hui Li, Xia Allele-Specific Behavior of Molecular Networks: Understanding Small-Molecule Drug Response in Yeast |
title | Allele-Specific Behavior of Molecular Networks: Understanding Small-Molecule Drug Response in Yeast |
title_full | Allele-Specific Behavior of Molecular Networks: Understanding Small-Molecule Drug Response in Yeast |
title_fullStr | Allele-Specific Behavior of Molecular Networks: Understanding Small-Molecule Drug Response in Yeast |
title_full_unstemmed | Allele-Specific Behavior of Molecular Networks: Understanding Small-Molecule Drug Response in Yeast |
title_short | Allele-Specific Behavior of Molecular Networks: Understanding Small-Molecule Drug Response in Yeast |
title_sort | allele-specific behavior of molecular networks: understanding small-molecule drug response in yeast |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3537669/ https://www.ncbi.nlm.nih.gov/pubmed/23308257 http://dx.doi.org/10.1371/journal.pone.0053581 |
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