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Nat Commun:开发出基于基因组尺度的机体代谢和基因表达的计算机模型

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<p align="center"><span style="font-family: 楷体_GB2312; font-size: small;">加利福尼亚大学的研究者开发出了一种新的模型方法,其可以同时展示生物有机体体内的代谢和基因的表达过程。</span></p>
<p align="center"><span style="font-family: 楷体_GB2312; font-size: small;">Photo Credit: UC San Diego Jacobs School of Engineering</span></p>
近日,来自加利福尼亚大学的研究者开发出了一种新的模型方法,其可以同时展示生物有机体体内的代谢和基因的表达过程。相关研究刊登在国际杂志<em>Nature Communications</em>上。

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研究者Bernhard表示,这是一项基于遗传基因组分析尺度技术的进步,可以基础性地揭示基因的表达过程。值得注意的是,研究者可以通过电脑操作来展现一系列的细胞代谢过程。

运用此方法,就可能运用计算机仿真模拟方法来再分子水平揭示生命过程中的一系列基础过程,包括基因表达的定量分析等等。新模型将会告诉我们我们需要什么样的细胞“机器”。新的方法尤其可以揭示细胞内酶的表达过程,因此未来我们就有可能知道机体如何分配资源到各个器官组织,然后促进其生长和基因的特异性表达。

研究者Lerman表示,我们已经建立了针对喜温海洋杆菌代谢和基因表达的虚拟现实模拟器,并且相比单独的代谢模型,这种新型模型可以更好更接近细胞的表型。

编译自:<a title="" href="http://phys.org/news/2012-08-molecular-economics-systems-wide-gene.html" target="_blank">Molecular economics: New computer models calculate systems-wide costs of gene expression</a>
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<a title="" href="http://dx.doi.org/doi:10.1038/ncomms1928" target="_blank">doi:10.1038/ncomms1928</a>
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<br/><strong>In silico method for modelling metabolism and gene product expression at genome scale</strong><br/>


Joshua A. Lerman, Daniel R. Hyduke, Haythem Latif, Vasiliy A. Portnoy, Nathan E. Lewis, Jeffrey D. Orth, Alexandra C. Schrimpe-Rutledge, Richard D. Smith, Joshua N. Adkins, Karsten Zengler &amp; Bernhard O. Palsson

Transcription and translation use raw materials and energy generated metabolically to create the macromolecular machinery responsible for all cellular functions, including metabolism. A biochemically accurate model of molecular biology and metabolism will facilitate comprehensive and quantitative computations of an organism's molecular constitution as a function of genetic and environmental parameters. Here we formulate a model of metabolism and macromolecular expression. Prototyping it using the simple microorganism Thermotoga maritima, we show our model accurately simulates variations in cellular composition and gene expression. Moreover, through in silico comparative transcriptomics, the model allows the discovery of new regulons and improving the genome and transcription unit annotations. Our method presents a framework for investigating molecular biology and cellular physiology in silico and may allow quantitative interpretation of multi-omics data sets in the context of an integrated biochemical description of an organism.

<br/>来源:生物谷

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