A modular network model of aging
Abstract Many fundamental questions on aging are still unanswered or are under intense debate. These questions are frequently not addressable by examining a single gene or a single pathway, but can best be addressed at the systems level. Here we examined the modular structure of the protein–protein...
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| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Springer Nature
2007-12-01
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| Series: | Molecular Systems Biology |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/msb4100189 |
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| _version_ | 1849225792060391424 |
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| author | Huiling Xue Bo Xian Dong Dong Kai Xia Shanshan Zhu Zhongnan Zhang Lei Hou Qingpeng Zhang Yi Zhang Jing‐Dong J Han |
| author_facet | Huiling Xue Bo Xian Dong Dong Kai Xia Shanshan Zhu Zhongnan Zhang Lei Hou Qingpeng Zhang Yi Zhang Jing‐Dong J Han |
| author_sort | Huiling Xue |
| collection | DOAJ |
| description | Abstract Many fundamental questions on aging are still unanswered or are under intense debate. These questions are frequently not addressable by examining a single gene or a single pathway, but can best be addressed at the systems level. Here we examined the modular structure of the protein–protein interaction (PPI) networks during fruitfly and human brain aging. In both networks, there are two modules associated with the cellular proliferation to differentiation temporal switch that display opposite aging‐related changes in expression. During fly aging, another couple of modules are associated with the oxidative–reductive metabolic temporal switch. These network modules and their relationships demonstrate (1) that aging is largely associated with a small number, instead of many network modules, (2) that some modular changes might be reversible and (3) that genes connecting different modules through PPIs are more likely to affect aging/longevity, a conclusion that is experimentally validated by Caenorhabditis elegans lifespan analysis. Network simulations further suggest that aging might preferentially attack key regulatory nodes that are important for the network stability, implicating a potential molecular basis for the stochastic nature of aging. |
| format | Article |
| id | doaj-art-c0dd73ea7de24993b41e87e5bcb3d1b2 |
| institution | Kabale University |
| issn | 1744-4292 |
| language | English |
| publishDate | 2007-12-01 |
| publisher | Springer Nature |
| record_format | Article |
| series | Molecular Systems Biology |
| spelling | doaj-art-c0dd73ea7de24993b41e87e5bcb3d1b22025-08-24T12:01:57ZengSpringer NatureMolecular Systems Biology1744-42922007-12-013111110.1038/msb4100189A modular network model of agingHuiling Xue0Bo Xian1Dong Dong2Kai Xia3Shanshan Zhu4Zhongnan Zhang5Lei Hou6Qingpeng Zhang7Yi Zhang8Jing‐Dong J Han9Chinese Academy of Sciences Key Laboratory of Molecular and Developmental Biology, Center for Molecular Systems Biology, Institute of Genetics and Developmental Biology, Chinese Academy of SciencesChinese Academy of Sciences Key Laboratory of Molecular and Developmental Biology, Center for Molecular Systems Biology, Institute of Genetics and Developmental Biology, Chinese Academy of SciencesChinese Academy of Sciences Key Laboratory of Molecular and Developmental Biology, Center for Molecular Systems Biology, Institute of Genetics and Developmental Biology, Chinese Academy of SciencesChinese Academy of Sciences Key Laboratory of Molecular and Developmental Biology, Center for Molecular Systems Biology, Institute of Genetics and Developmental Biology, Chinese Academy of SciencesChinese Academy of Sciences Key Laboratory of Molecular and Developmental Biology, Center for Molecular Systems Biology, Institute of Genetics and Developmental Biology, Chinese Academy of SciencesChinese Academy of Sciences Key Laboratory of Molecular and Developmental Biology, Center for Molecular Systems Biology, Institute of Genetics and Developmental Biology, Chinese Academy of SciencesChinese Academy of Sciences Key Laboratory of Molecular and Developmental Biology, Center for Molecular Systems Biology, Institute of Genetics and Developmental Biology, Chinese Academy of SciencesChinese Academy of Sciences Key Laboratory of Molecular and Developmental Biology, Center for Molecular Systems Biology, Institute of Genetics and Developmental Biology, Chinese Academy of SciencesChinese Academy of Sciences Key Laboratory of Molecular and Developmental Biology, Center for Molecular Systems Biology, Institute of Genetics and Developmental Biology, Chinese Academy of SciencesChinese Academy of Sciences Key Laboratory of Molecular and Developmental Biology, Center for Molecular Systems Biology, Institute of Genetics and Developmental Biology, Chinese Academy of SciencesAbstract Many fundamental questions on aging are still unanswered or are under intense debate. These questions are frequently not addressable by examining a single gene or a single pathway, but can best be addressed at the systems level. Here we examined the modular structure of the protein–protein interaction (PPI) networks during fruitfly and human brain aging. In both networks, there are two modules associated with the cellular proliferation to differentiation temporal switch that display opposite aging‐related changes in expression. During fly aging, another couple of modules are associated with the oxidative–reductive metabolic temporal switch. These network modules and their relationships demonstrate (1) that aging is largely associated with a small number, instead of many network modules, (2) that some modular changes might be reversible and (3) that genes connecting different modules through PPIs are more likely to affect aging/longevity, a conclusion that is experimentally validated by Caenorhabditis elegans lifespan analysis. Network simulations further suggest that aging might preferentially attack key regulatory nodes that are important for the network stability, implicating a potential molecular basis for the stochastic nature of aging.https://doi.org/10.1038/msb4100189agingcell metabolismsdifferentiationmodulenetworkregulation |
| spellingShingle | Huiling Xue Bo Xian Dong Dong Kai Xia Shanshan Zhu Zhongnan Zhang Lei Hou Qingpeng Zhang Yi Zhang Jing‐Dong J Han A modular network model of aging Molecular Systems Biology aging cell metabolisms differentiation module network regulation |
| title | A modular network model of aging |
| title_full | A modular network model of aging |
| title_fullStr | A modular network model of aging |
| title_full_unstemmed | A modular network model of aging |
| title_short | A modular network model of aging |
| title_sort | modular network model of aging |
| topic | aging cell metabolisms differentiation module network regulation |
| url | https://doi.org/10.1038/msb4100189 |
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