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

Authors :
Corcoran, Callan C.
Grady, Cameron R.
Pisitkun, Trairak
Parulekar, Jaya
Knepper, Mark A.
Source :
American Journal of Physiology: Renal Physiology; Mar2017, Vol. 312 Issue 3, pF533-F542, 10p
Publication Year :
2017

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 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1931857X
Volume :
312
Issue :
3
Database :
Complementary Index
Journal :
American Journal of Physiology: Renal Physiology
Publication Type :
Academic Journal
Accession number :
158945500
Full Text :
https://doi.org/10.1152/ajprenal.00601.2016