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 . proximal tubule thick ascending limb of Henle inner medullary collecting duct mpkCCD Footnotes « Previous | Next Article » Table of Contents This Article Published online before print November 2011 , doi: 10.1152/ajprenal.00457.2011 AJP - Renal Physiol February 2012 vol. 302 no. 4 F401-F407 » Abstract Free Full Text Full Text (PDF) All Versions of this Article: ajprenal.00457.2011v1 302/4/F401 most recent Classifications Review Services Email this article to a friend Alert me when this article is cited Alert me if a correction is posted Similar articles in this journal Similar articles in Web of Science Similar articles in PubMed Download to citation manager Citing Articles Load citing article information Citing articles via Web of Science Google Scholar Articles by Huling, J. C. Articles by Knepper, M. A. PubMed PubMed citation Articles by Huling, J. C. Articles by Knepper, M. A. Related Content Load related web page information Current Issue February 2012, 302 (4) Alert me to new issues of AJP - Renal Physiol About the Journal Information for Authors Submit a Manuscript Ethical Policies AuthorChoice PubMed Central Policy Reprints and Permissions Advertising Press Copyright © 2012 the American Physiological Society Print ISSN: 0363-6127 Online ISSN: 1522-1466 var gaJsHost = (("https:" == document.location.protocol) ? "https://ssl." : "http://www."); document.write(unescape("%3Cscript src='" + gaJsHost + "google-analytics.com/ga.js' type='text/javascript'%3E%3C/script%3E")); var pageTracker = _gat._getTracker("UA-2924550-1"); pageTracker._trackPageview();
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