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From 20th century metabolic wall charts to 21st century systems biology: database of mammalian metabolic enzymes

机译:从20世纪的代谢墙图到21世纪的系统生物学:哺乳动物代谢酶数据库

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Corcoran CC, Grady CR, Pisitkun T, Parulekar J, Knepper MA. From 20th century metabolic wall charts to 21st century systems biology: database of mammalian metabolic enzymes. Am J Physiol Renal Physiol 312: F533-F542, 2017. First published December 14, 2016; doi:10.1152/ajprenal.00601.2016.—The organization of the mammalian genome into gene subsets corresponding to specific functional classes has provided key tools for systems biology research. Here, we have created a web-accessible resource called the Mammalian Metabolic Enzyme Database (https://hpcwebapps.cit.nih.gov/ ESBL/Database/MetabolicEnzymes/MetabolicEnzymeDatabase. html) keyed to the biochemical reactions represented on iconic metabolic pathway wall charts created in the previous century. Overall, we have mapped 1,647 genes to these pathways, representing ~7 percent of the protein-coding genome. To illustrate the use of the database, we apply it to the area of kidney physiology. In so doing, we have created an additional database (Database of Metabolic Enzymes in Kidney Tubule Segments: https://hpcwebapps.cit.nih.gov/ESBL/ Database/MetabolicEnzymes/), mapping mRNA abundance measurements (mined from RNA-Seq studies) for all metabolic enzymes to each of 14 renal tubule segments. We carry out bioinformatics analysis of the enzyme expression pattern among renal tubule segments and mine various data sources to identify vasopressin-regulated metabolic enzymes in the renal collecting duct.
机译:Corcoran CC,Grady Cr,Pisitkun T,Parulekar J,Knepper Ma。从20世纪的代谢墙图到21世纪的系统生物学:哺乳动物代谢酶数据库。 AM j j Physiol肾脏Physiol 312:2017年F533-F542。2016年12月14日第一次出版; DOI:10.1152 / AJPRENAL.00601.2016 .-将哺乳动物基因组组织成对应于特定功能类的基因子集,为系统生物学研究提供了关键工具。在这里,我们创建了一种称为哺乳动物代谢酶数据库的网络可访问资源(https://hpcwebapps.cit.nih.gov/esbl / database / metabolicenzymes / metabolicenzymedatabase。HTML)键入在标志性代谢途径墙上代表的生物化学反应。在前世纪创建的图表。总体而言,我们对这些途径进行了映射了1,647个基因,代表了蛋白质编码基因组的〜7%。为了说明数据库的使用,我们将其应用于肾生理区域。在这样做时,我们已经创建了一个额外的数据库(肾小管段中的代谢酶数据库:https://hpcwebapps.cit.nih.gov/bl/ /代谢酶/),映射mRNA丰度测量(从RNA-SEQ开采研究所有代谢酶对14个肾小管段中的每一个。我们在肾小管区段中进行酶表达模式的生物信息学分析,并挖掘各种数据源,以鉴定肾脏收集管道中的血管加压素调节代谢酶。

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