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Nucleic Acids Research 2006 34(Database Issue):D213-D217; doi:10.1093/nar/gkj069
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Nucleic Acids Research, 2006, Vol. 34, Database issue D213-D217
© The Author 2006. Published by Oxford University Press. All rights reserved
The online version of this article has been published under an open access model. Users are entitled to use, reproduce, disseminate, or display the open access version of this article for non-commercial purposes provided that: the original authorship is properly and fully attributed; the Journal and Oxford University Press are attributed as the original place of publication with the correct citation details given; if an article is subsequently reproduced or disseminated not in its entirety but only in part or as a derivative work this must be clearly indicated. For commercial re-use, please contact journals.permissions{at}oxfordjournals.org

Article

LOCATE: a mouse protein subcellular localization database

J. Lynn Fink1,2,*, Rajith N. Aturaliya1,2, Melissa J. Davis2, Fasheng Zhang2, Kelly Hanson1,2, Melvena S. Teasdale2, Chikatoshi Kai3, Jun Kawai3,4, Piero Carninci3,4, Yoshihide Hayashizaki3,4 and Rohan D. Teasdale1,2

1ARC Centre in Bioinformatics, University of Queensland St Lucia, Queensland 4072, Australia 2Institute for Molecular Bioscience, University of Queensland St Lucia, Queensland 4072, Australia 3Genome Exploration Research Group (Genome Network Project Core Group), RIKEN Genomic Sciences Center (GSC), RIKEN Yokohama Institute 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan 4Genome Science Laboratory, Discovery Research Institute, RIKEN Wako Institute 2-1 Hirosawa, Wako, Saitama 351-0198, Japan

*To whom correspondence should be addressed. Tel: +61 7 3346 2633; Fax: +61 7 3346 2101; Email: l.fink{at}imb.uq.edu.au

Received August 15, 2005. Revised October 8, 2005. Accepted October 8, 2005.

We present here LOCATE, a curated, web-accessible database that houses data describing the membrane organization and subcellular localization of proteins from the FANTOM3 Isoform Protein Sequence set. Membrane organization is predicted by the high-throughput, computational pipeline MemO. The subcellular locations of selected proteins from this set were determined by a high-throughput, immunofluorescence-based assay and by manually reviewing >1700 peer-reviewed publications. LOCATE represents the first effort to catalogue the experimentally verified subcellular location and membrane organization of mammalian proteins using a high-throughput approach and provides localization data for ~40% of the mouse proteome. It is available at http://locate.imb.uq.edu.au.


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