Competitive Memory Functions in Gene Regulatory Network

• Item type: SIG Technical Reports(1)
• 公開日: 2016-09-21
• タイトル: Competitive Memory Functions in Gene Regulatory Network
• タイトル / 言語: en
• タイトル: Competitive Memory Functions in Gene Regulatory Network
• 言語: eng
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_18gh
• 資源タイプ: technical report
• 著者所属: Department of Bioscience and Bioinformatics, Kyushu Institute of Technology
• 著者所属: Director of the Biomedical Informatics R&D Center, Kyushu Institute of Technology
• 著者所属(英): en
• 著者所属(英): Department of Bioscience and Bioinformatics, Kyushu Institute of Technology
• 著者所属(英): en
• 著者所属(英): Director of the Biomedical Informatics R&D Center, Kyushu Institute of Technology
• 著者名: A, B M Shamim Ul,Hasan; Hiroyuki, Kurata
• 著者名(英): A, B M Shamim Ul Hasan; Hiroyuki, Kurata
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: Biological memory is a ubiquitous function that can generate a sustained response to a transient inductive stimulus. To better understand this phenomenon, we must consider how the structure of different genetic networks achieves the memory. Here, we investigated two types of gene regulatory network models: regulated mutual activation network (MAN); regulated mutual repression network (MRN). The mathematical comparison was used to analyze the deterministic or stochastic memory between the proposed models at the same steady state level. The MAN model improved the memory function in both deterministic and stochastic models, compared with the MRN model. The MAN provided a robust memory window, but the MRN provided opposite gene expressions with a fragile memory. The MAN model that comprises two protein kinases p42 MAPK and Cdc2 are suggested to need robust memory. The MRN model that consists of cI and Cro proteins would require opposite gene expression rather than robust memory.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: Biological memory is a ubiquitous function that can generate a sustained response to a transient inductive stimulus. To better understand this phenomenon, we must consider how the structure of different genetic networks achieves the memory. Here, we investigated two types of gene regulatory network models: regulated mutual activation network (MAN); regulated mutual repression network (MRN). The mathematical comparison was used to analyze the deterministic or stochastic memory between the proposed models at the same steady state level. The MAN model improved the memory function in both deterministic and stochastic models, compared with the MRN model. The MAN provided a robust memory window, but the MRN provided opposite gene expressions with a fragile memory. The MAN model that comprises two protein kinases p42 MAPK and Cdc2 are suggested to need robust memory. The MRN model that consists of cI and Cro proteins would require opposite gene expression rather than robust memory.
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AA12055912
• 書誌情報: 研究報告バイオ情報学（BIO）; 巻 2016-BIO-47, 号 2, p. 1-3, 発行日 2016-09-21
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 2188-8590
• Notice: SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc.
• 出版者 / 言語: ja
• 出版者: 情報処理学会