{"title":"NF-κ B信号通路中蛋白质合成时滞和负反馈回路的组合动力学","authors":"Fang Yan, Li Liu, Qingyun Wang","doi":"10.1049/iet-syb.2020.0034","DOIUrl":null,"url":null,"abstract":"<div>\n <p>The transcription factor NF-<i>κ</i> B links immune response and inflammatory reaction and its different oscillation patterns determine different cell fates. In this study, a mathematical model with I<i>κ</i> B<i>α</i> protein synthesis time delay is developed based on the experimental evidences. The results show that time delay has the ability to drive oscillation of NF-<i>κ</i> B via Hopf bifurcation. Meanwhile, the amplitude and period are sensitive to the time delay. Moreover, the time delay threshold is a function of four parameters characterising the negative feedback loop. Likewise, the parameters also have effects on the amplitude and period of NF-<i>κ</i> B oscillation induced by time delay. Therefore, the oscillation patterns of NF-<i>κ</i> B are collaborative results of time delay coupled with the negative feedback loop. These results not only enhance the understanding of NF-<i>κ</i> B biological oscillation but also provide clues for the development of anti-inflammatory or anti-cancer drugs.</p>\n </div>","PeriodicalId":50379,"journal":{"name":"IET Systems Biology","volume":"14 5","pages":"284-291"},"PeriodicalIF":1.9000,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/iet-syb.2020.0034","citationCount":"1","resultStr":"{\"title\":\"Combinatorial dynamics of protein synthesis time delay and negative feedback loop in NF-κ B signalling pathway\",\"authors\":\"Fang Yan, Li Liu, Qingyun Wang\",\"doi\":\"10.1049/iet-syb.2020.0034\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n <p>The transcription factor NF-<i>κ</i> B links immune response and inflammatory reaction and its different oscillation patterns determine different cell fates. In this study, a mathematical model with I<i>κ</i> B<i>α</i> protein synthesis time delay is developed based on the experimental evidences. The results show that time delay has the ability to drive oscillation of NF-<i>κ</i> B via Hopf bifurcation. Meanwhile, the amplitude and period are sensitive to the time delay. Moreover, the time delay threshold is a function of four parameters characterising the negative feedback loop. Likewise, the parameters also have effects on the amplitude and period of NF-<i>κ</i> B oscillation induced by time delay. Therefore, the oscillation patterns of NF-<i>κ</i> B are collaborative results of time delay coupled with the negative feedback loop. These results not only enhance the understanding of NF-<i>κ</i> B biological oscillation but also provide clues for the development of anti-inflammatory or anti-cancer drugs.</p>\\n </div>\",\"PeriodicalId\":50379,\"journal\":{\"name\":\"IET Systems Biology\",\"volume\":\"14 5\",\"pages\":\"284-291\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2020-09-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/iet-syb.2020.0034\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IET Systems Biology\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1049/iet-syb.2020.0034\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"CELL BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Systems Biology","FirstCategoryId":"99","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/iet-syb.2020.0034","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
Combinatorial dynamics of protein synthesis time delay and negative feedback loop in NF-κ B signalling pathway
The transcription factor NF-κ B links immune response and inflammatory reaction and its different oscillation patterns determine different cell fates. In this study, a mathematical model with Iκ Bα protein synthesis time delay is developed based on the experimental evidences. The results show that time delay has the ability to drive oscillation of NF-κ B via Hopf bifurcation. Meanwhile, the amplitude and period are sensitive to the time delay. Moreover, the time delay threshold is a function of four parameters characterising the negative feedback loop. Likewise, the parameters also have effects on the amplitude and period of NF-κ B oscillation induced by time delay. Therefore, the oscillation patterns of NF-κ B are collaborative results of time delay coupled with the negative feedback loop. These results not only enhance the understanding of NF-κ B biological oscillation but also provide clues for the development of anti-inflammatory or anti-cancer drugs.
期刊介绍:
IET Systems Biology covers intra- and inter-cellular dynamics, using systems- and signal-oriented approaches. Papers that analyse genomic data in order to identify variables and basic relationships between them are considered if the results provide a basis for mathematical modelling and simulation of cellular dynamics. Manuscripts on molecular and cell biological studies are encouraged if the aim is a systems approach to dynamic interactions within and between cells.
The scope includes the following topics:
Genomics, transcriptomics, proteomics, metabolomics, cells, tissue and the physiome; molecular and cellular interaction, gene, cell and protein function; networks and pathways; metabolism and cell signalling; dynamics, regulation and control; systems, signals, and information; experimental data analysis; mathematical modelling, simulation and theoretical analysis; biological modelling, simulation, prediction and control; methodologies, databases, tools and algorithms for modelling and simulation; modelling, analysis and control of biological networks; synthetic biology and bioengineering based on systems biology.