Clark D Jeffries, Charles R Johnson, Tong Zhou, Dennis A Simpson, William K Kaufmann
{"title":"一个灵活和定性稳定的细胞周期动力学模型,包括DNA损伤效应。","authors":"Clark D Jeffries, Charles R Johnson, Tong Zhou, Dennis A Simpson, William K Kaufmann","doi":"10.4137/GRSB.S8476","DOIUrl":null,"url":null,"abstract":"<p><p>This paper includes a conceptual framework for cell cycle modeling into which the experimenter can map observed data and evaluate mechanisms of cell cycle control. The basic model exhibits qualitative stability, meaning that regardless of magnitudes of system parameters its instances are guaranteed to be stable in the sense that all feasible trajectories converge to a certain trajectory. Qualitative stability can also be described by the signs of real parts of eigenvalues of the system matrix. On the biological side, the resulting model can be tuned to approximate experimental data pertaining to human fibroblast cell lines treated with ionizing radiation, with or without disabled DNA damage checkpoints. Together these properties validate a fundamental, first order systems view of cell dynamics. Classification Codes: 15A68.</p>","PeriodicalId":73138,"journal":{"name":"Gene regulation and systems biology","volume":"6 ","pages":"55-66"},"PeriodicalIF":0.0000,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4137/GRSB.S8476","citationCount":"3","resultStr":"{\"title\":\"A flexible and qualitatively stable model for cell cycle dynamics including DNA damage effects.\",\"authors\":\"Clark D Jeffries, Charles R Johnson, Tong Zhou, Dennis A Simpson, William K Kaufmann\",\"doi\":\"10.4137/GRSB.S8476\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This paper includes a conceptual framework for cell cycle modeling into which the experimenter can map observed data and evaluate mechanisms of cell cycle control. The basic model exhibits qualitative stability, meaning that regardless of magnitudes of system parameters its instances are guaranteed to be stable in the sense that all feasible trajectories converge to a certain trajectory. Qualitative stability can also be described by the signs of real parts of eigenvalues of the system matrix. On the biological side, the resulting model can be tuned to approximate experimental data pertaining to human fibroblast cell lines treated with ionizing radiation, with or without disabled DNA damage checkpoints. Together these properties validate a fundamental, first order systems view of cell dynamics. Classification Codes: 15A68.</p>\",\"PeriodicalId\":73138,\"journal\":{\"name\":\"Gene regulation and systems biology\",\"volume\":\"6 \",\"pages\":\"55-66\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.4137/GRSB.S8476\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Gene regulation and systems biology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4137/GRSB.S8476\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2012/4/11 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Gene regulation and systems biology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4137/GRSB.S8476","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2012/4/11 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
A flexible and qualitatively stable model for cell cycle dynamics including DNA damage effects.
This paper includes a conceptual framework for cell cycle modeling into which the experimenter can map observed data and evaluate mechanisms of cell cycle control. The basic model exhibits qualitative stability, meaning that regardless of magnitudes of system parameters its instances are guaranteed to be stable in the sense that all feasible trajectories converge to a certain trajectory. Qualitative stability can also be described by the signs of real parts of eigenvalues of the system matrix. On the biological side, the resulting model can be tuned to approximate experimental data pertaining to human fibroblast cell lines treated with ionizing radiation, with or without disabled DNA damage checkpoints. Together these properties validate a fundamental, first order systems view of cell dynamics. Classification Codes: 15A68.