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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.

SUBMITTER: Huling JC

PROVIDER: S-EPMC3289419 | biostudies-other | 2012 Feb

REPOSITORIES: biostudies-other

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Gene expression databases for kidney epithelial cells.

Huling Jennifer C JC Pisitkun Trairak T Song Jae H JH Yu Ming-Jiun MJ Hoffert Jason D JD Knepper Mark A MA

American journal of physiology. Renal physiology 20111123 4

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 dat ...[more]

PMID: 22114206

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