The plant organelles database (PODB): a collection of visualized plant organelles and protocols for plant organelle research
Shoji Mano1,2, Tomoki Miwa3, Shuh-ichi Nishikawa4, Tetsuro Mimura5 and Mikio Nishimura1,2,*
1Department of Cell Biology, National Institute for Basic Biology, 2Department of Basic Biology, School of Life Science, The Graduate University for Advanced Studies, 3Computer Laboratory, National Institute for Basic Biology, Okazaki 444-8585, 4Graduate School of Science, Nagoya University, Nagoya 464-8602 and 5Department of Biology, Faculty of Science, Kobe University, Kobe 657-8501, Japan
* To whom correspondence should be addressed. Tel: +81 564 55 7500; Fax: +81 564 55 7505; Email: [email protected]
Received August 13, 2007. Revised September 14, 2007. Accepted September 17, 2007.
The plant organelles database (PODB; http://podb.nibb.ac.jp/Organellome) was built to promote a comprehensive understanding of organelle dynamics, including organelle function, biogenesis, differentiation, movement and interactions with other organelles. This database consists of three individual parts, the organellome database, the functional analysis database and external links to other databases and homepages. The organellome database provides images of various plant organelles that were visualized with fluorescent and nonfluorescent probes in various tissues of several plant species at different developmental stages. The functional analysis database is a collection of protocols for plant organelle research. External links give access primarily to other databases and Web pages with information on transcriptomes and proteomes. All the data and protocols in the organellome database and the functional analysis database are populated by direct submission of experimentally determined data from plant researchers and can be freely downloaded. Our database promotes the exchange of information between plant organelle researchers for the comprehensive study of the organelle dynamics that support integrated functions in higher plants. We would also appreciate contributions of data and protocols from all plant researchers to maximize the usefulness of the database.
Nucleic Acids Research, doi:10.1093/nar/gkm789. Open Access Article.