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Challenges in the Optimization of Biosystems II: Mathematical Modeling and Stability Analysis of Gene-Expression Patterns in an Extended Space and with Runge-Kutta Discretization

机译:生物系统优化中的挑战II:延长空间中基因表达模式的数学建模与稳定性分析及跳动 - 库特拉离散化

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Gene (or protein) expression is the process by which gene information is converted for producing cell structures and cell functions. There are two main process events: transcription and translation. After them, steps like folding, post-translational modification and targeting occur up to the protein product, we leave these details to [12]. Since mRNA is an exact copy of the DNA coding regions, mRNA analysis can be well used to explore the process in codingregions of DNA. More importantly, the measure of gene expression can be determined from the genomic analysis at the mRNA level [15]. Both genomic and environmental factors affect the gene expression levels. For example, the environmental factors including stress, light, temperature and other signals cause some changes in hormones and in enzymatic reactions which influence the gene expression level. That is why mRNA analysis informs us not only about genetic viewpoints of an organism but also about the dynamic changes in environment of that organism. For most genes, protein levels are denned by steady state mRNA levels [16]. Thus, quantitative expressions at mR,NA level provide important clues about the underlying dynamics. Peculiar changes in monitoring mRNA levels generally refer to drug treatment, shocks, disease or metabolic states.
机译:基因(或蛋白质)表达是转化基因信息以产生细胞结构和细胞功能的过程。有两个主要过程事件:转录和翻译。在它们之后,折叠,翻译后修饰和靶向的步骤发生在蛋白质产品上,我们将这些细节留给[12]。由于mRNA是DNA编码区的精确拷贝,因此可以利用MRNA分析来探讨DNA的编码中的过程。更重要的是,可以从mRNA水平的基因组分析中确定基因表达的量度[15]。基因组和环境因素都会影响基因表达水平。例如,包括应力,光,温度和其他信号的环境因素导致激素和影响基因表达水平的酶促反应的一些变化。这就是为什么MRNA分析不仅通知我们的生物体的遗传观点,而且涉及该生物体环境的动态变化。对于大多数基因,通过稳态mRNA水平判断蛋白质水平[16]。因此,在MR,NA水平的定量表达提供了关于底层动态的重要线索。监测mRNA水平的特殊变化通常是指药物治疗,冲击,疾病或代谢态。

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