Kenta Nakai
Human Genome Center, Institute of Medical Science, University of Tokyo, Japan
Title : Computational analyses of transcriptional regulatory regions in tunicates
Abstract :

Tunicates, which include the ascidians Ciona intestinalis and Ciona savignyi, are lower chordates sharing basic gene repertoires and many characteristics with vertebrates. Therefore, they have been extensively studied in developmental biology. Especially, C. intestinalis is an interesting organism because its genome sequence is determined and comparable in its evolutionary conservation with the draft genome sequence of C. savignyi. Moreover, its cell lineage and the gene regulatory network in early developmental stages are basically clarified. Since the average size of its transcriptional regulatory region is much smaller than that of vertebrates, it is also suited for computational sequence analyses. Thus, our group has performed such analyses from various aspects. For example, we constructed a database of tunicate gene regulation, DBTGR (, which contains experimentally determined knowledge on gene regulation. The TSS/expression data from our so-called RNA-seq analysis using a new-generation sequencer will be added soon. We are also trying to combine the results of sequence analysis with ChIP-chip data to refine the gene regulatory network. I will introduce some of our recent progress.

Biography :

Dr. Kenta Nakai is a professor at the HumanGenomeCenter, Institute of Medical Science, University of Tokyo, Japan. He obtained his PhD degree in 1992 from KyotoUniversity and has worked at KyotoUniversity, the National Institute of Basic Biology, and OsakaUniversity before moving to the University of Tokyo. He was the president of the Japanese Society for Bioinformatics in 2006 and 2007. His main research interest is to develop computational ways for interpreting biological information, especially about transcriptional regulation, which is encoded in genome sequence data. One of his papers reporting the development of a knowledge-based prediction system of subcellular localization sites, PSORT, has been cited more than 1,000 times so far. For more information about Professor Kenta Nakai, visit

Copyright © 2007 iCBBE. All rights reserved.
Microsoft Internet Explorer is recommended if the page is not displayed properly !