title: Gene expression databases for kidney epithelial cells.
abstract: The 21st century has seen an explosion of new high-throughput data from transcriptomic and proteomic studies. These data are highly relevant to the design and interpretation of modern physiological studies but are not always readily accessible to potential users in user-friendly, searchable formats. Data from our own studies involving transcriptomic and proteomic profiling of renal tubule epithelia have been made available on a variety of online databases. Here, we provide a roadmap to these databases and illustrate how they may be useful in the design and interpretation of physiological studies. The databases can be accessed through http://helixweb.nih.gov/ESBL/Database.
authors: National Institutes of Health. 10 Center Dr;. Bldg 10, Rm. 6N260, Bethesda, MD 20892-1603, USA.
authors: Jennifer C
authors: JC
authors: Huling
authors: Trairak
authors: T
authors: Pisitkun
authors: Jae H
authors: JH
authors: Song
authors: Ming-Jiun
authors: MJ
authors: Yu
authors: Jason D
authors: JD
authors: Hoffert
authors: Mark A
authors: MA
authors: Knepper
mesh_terms: D003628:Database Management Systems; D030541:Databases, Genetic; D004847:Epithelial Cells / Q000378:metabolism; D020869:Gene Expression Profiling; D006801:Humans; D007684:Kidney Tubules / Q000166:cytology / Q000378:metabolism*