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10.1152/ajprenal.00601.2016 http://scihub22266oqcxt.onion/10.1152/ajprenal.00601.2016 C5374312!5374312 !27974320     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=27974320 &cmd=llinks): Failed to open stream: HTTP request failed! 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From 20th century metabolic wall charts to 21st century systems biology: database of mammalian metabolic enzymes |pdf=|usr=}}{{27974320 }} gab.com Text From 20th century metabolic wall charts to 21st century systems biology: database of mammalian metabolic enzymes JO: Am J Physiol Renal Physiol http://www.kidney.de/pget.php?&tw=1&pmid=27974320 #FOAvip 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. Twit Text FOAVip From 20th century metabolic wall charts to 21st century systems biology: database of mammalian metabolic enzymes ????Am J Physiol Renal Physiol http://www.kidney.de/pget.php?&tw=1&pmid=27974320 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27974320 #FOAvip English Wikipedia <ref>{{Cite pmid|27974320 }}</ref> From 20th century metabolic wall charts to 21st century systems biology: database of mammalian metabolic enzymes #MMPMID27974320 Corcoran CC ; Grady CR ; Pisitkun T ; Parulekar J ; Knepper MA Am J Physiol Renal Physiol 2017[Mar]; 312 (3 ): F533-F542 PMID27974320 show ga 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. |*Audiovisual Aids [MESH] |*Databases, Protein [MESH] |*Energy Metabolism [MESH] |*Protein Interaction Maps [MESH] |Animals [MESH] |Data Mining [MESH] |Diffusion of Innovation [MESH] |Enzymes/genetics/*metabolism [MESH] |Gene Expression Regulation, Enzymologic [MESH] |Kidney Tubules/*enzymology [MESH] |Mice [MESH] |RNA, Messenger/genetics/metabolism [MESH] |Rats [MESH] |Systems Biology/*methods [MESH]From 20th century metabolic wall charts to 21st century systems biolog(epmc).pdf DeepDyve Pubget Overpricing