Probabilistic Critical Controllability Analysis of Protein Interaction Networks Integrating Normal Brain Ageing Gene Expression Profiles
Recently, network controllability studies have proposed several frameworks for the control of large complex biological networks using a small number of life molecules. However, age-related changes in the brain have not been investigated from a controllability perspective. In this study, we compiled...
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doaj-56bb74568cfd40e3b5f063d6f29c867c2021-09-26T00:23:30ZengMDPI AGInternational Journal of Molecular Sciences1661-65961422-00672021-09-01229891989110.3390/ijms22189891Probabilistic Critical Controllability Analysis of Protein Interaction Networks Integrating Normal Brain Ageing Gene Expression ProfilesEimi Yamaguchi0Tatsuya Akutsu1Jose C. Nacher2Department of Information Science, Faculty of Science, Toho University, Funabashi 274-8510, JapanBioinformatics Center, Institute for Chemical Research, Kyoto University, Uji 611-0011, JapanDepartment of Information Science, Faculty of Science, Toho University, Funabashi 274-8510, JapanRecently, network controllability studies have proposed several frameworks for the control of large complex biological networks using a small number of life molecules. However, age-related changes in the brain have not been investigated from a controllability perspective. In this study, we compiled the gene expression profiles of four normal brain regions from individuals aged 20–99 years and generated dynamic probabilistic protein networks across their lifespan. We developed a new algorithm that efficiently identified critical proteins in probabilistic complex networks, in the context of a minimum dominating set controllability model. The results showed that the identified critical proteins were significantly enriched with well-known ageing genes collected from the GenAge database. In particular, the enrichment observed in replicative and premature senescence biological processes with critical proteins for male samples in the hippocampal region led to the identification of possible new ageing gene candidates.https://www.mdpi.com/1422-0067/22/18/9891critical controllabilityprobabilistic controllabilitybrainageing processprotein networksgene expression |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Eimi Yamaguchi Tatsuya Akutsu Jose C. Nacher |
spellingShingle |
Eimi Yamaguchi Tatsuya Akutsu Jose C. Nacher Probabilistic Critical Controllability Analysis of Protein Interaction Networks Integrating Normal Brain Ageing Gene Expression Profiles International Journal of Molecular Sciences critical controllability probabilistic controllability brain ageing process protein networks gene expression |
author_facet |
Eimi Yamaguchi Tatsuya Akutsu Jose C. Nacher |
author_sort |
Eimi Yamaguchi |
title |
Probabilistic Critical Controllability Analysis of Protein Interaction Networks Integrating Normal Brain Ageing Gene Expression Profiles |
title_short |
Probabilistic Critical Controllability Analysis of Protein Interaction Networks Integrating Normal Brain Ageing Gene Expression Profiles |
title_full |
Probabilistic Critical Controllability Analysis of Protein Interaction Networks Integrating Normal Brain Ageing Gene Expression Profiles |
title_fullStr |
Probabilistic Critical Controllability Analysis of Protein Interaction Networks Integrating Normal Brain Ageing Gene Expression Profiles |
title_full_unstemmed |
Probabilistic Critical Controllability Analysis of Protein Interaction Networks Integrating Normal Brain Ageing Gene Expression Profiles |
title_sort |
probabilistic critical controllability analysis of protein interaction networks integrating normal brain ageing gene expression profiles |
publisher |
MDPI AG |
series |
International Journal of Molecular Sciences |
issn |
1661-6596 1422-0067 |
publishDate |
2021-09-01 |
description |
Recently, network controllability studies have proposed several frameworks for the control of large complex biological networks using a small number of life molecules. However, age-related changes in the brain have not been investigated from a controllability perspective. In this study, we compiled the gene expression profiles of four normal brain regions from individuals aged 20–99 years and generated dynamic probabilistic protein networks across their lifespan. We developed a new algorithm that efficiently identified critical proteins in probabilistic complex networks, in the context of a minimum dominating set controllability model. The results showed that the identified critical proteins were significantly enriched with well-known ageing genes collected from the GenAge database. In particular, the enrichment observed in replicative and premature senescence biological processes with critical proteins for male samples in the hippocampal region led to the identification of possible new ageing gene candidates. |
topic |
critical controllability probabilistic controllability brain ageing process protein networks gene expression |
url |
https://www.mdpi.com/1422-0067/22/18/9891 |
work_keys_str_mv |
AT eimiyamaguchi probabilisticcriticalcontrollabilityanalysisofproteininteractionnetworksintegratingnormalbrainageinggeneexpressionprofiles AT tatsuyaakutsu probabilisticcriticalcontrollabilityanalysisofproteininteractionnetworksintegratingnormalbrainageinggeneexpressionprofiles AT josecnacher probabilisticcriticalcontrollabilityanalysisofproteininteractionnetworksintegratingnormalbrainageinggeneexpressionprofiles |
_version_ |
1717366240047005696 |