title: From 20th century metabolic wall charts to 21st century systems biology: database of mammalian metabolic enzymes.
abstract: 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 theMammalian 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.
authors.affiliation: Epithelial Systems Biology Laboratory, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland; and.
authors.forename: Callan C
authors.initials: CC
authors.lastname: Corcoran
authors.affiliation: Epithelial Systems Biology Laboratory, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland; and.
authors.forename: Cameron R
authors.initials: CR
authors.lastname: Grady
authors.affiliation: Systems Biology Center, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
authors.forename: Trairak
authors.initials: T
authors.lastname: Pisitkun
authors.affiliation: Epithelial Systems Biology Laboratory, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland; and.
authors.forename: Jaya
authors.initials: J
authors.lastname: Parulekar
authors.affiliation: Epithelial Systems Biology Laboratory, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland; and knep@helix.nih.gov.
authors.forename: Mark A
authors.initials: MA
authors.lastname: Knepper
mesh_terms: D000818:Animals; D001296:Audiovisual Aids; D057225:Data Mining; D030562:Databases, Protein; D004059:Diffusion of Innovation; D004734:Energy Metabolism; D004798:Enzymes / Q000235:genetics / Q000378:metabolism*; D015971:Gene Expression Regulation, Enzymologic; D007684:Kidney Tubules / Q000201:enzymology*; D051379:Mice; D060066:Protein Interaction Maps; D012333:RNA, Messenger / Q000235:genetics / Q000378:metabolism; D051381:Rats; D049490:Systems Biology / Q000379:methods*; D014667:Vasopressins / Q000378:metabolism
chemical_list: D004798:Enzymes; D012333:RNA, Messenger; D014667:Vasopressins
keywords: collecting duct; kidney; metabolism; mitochondria; vasopressin