| Literature DB >> 22114206 |
Jennifer C Huling1, Trairak Pisitkun, Jae H Song, Ming-Jiun Yu, Jason D Hoffert, Mark A Knepper.
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.Entities:
Mesh:
Year: 2011 PMID: 22114206 PMCID: PMC3289419 DOI: 10.1152/ajprenal.00457.2011
Source DB: PubMed Journal: Am J Physiol Renal Physiol ISSN: 1522-1466