Browsing by Author "Carninci, P"

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    A framework for integrating the songbird brain.
    (J Comp Physiol A Neuroethol Sens Neural Behav Physiol, 2002-12) Jarvis, ED; Smith, VA; Wada, K; Rivas, MV; McElroy, M; Smulders, TV; Carninci, P; Hayashizaki, Y; Dietrich, F; Wu, X; McConnell, P; Yu, J; Wang, PP; Hartemink, AJ; Lin, S
    Biological systems by default involve complex components with complex relationships. To decipher how biological systems work, we assume that one needs to integrate information over multiple levels of complexity. The songbird vocal communication system is ideal for such integration due to many years of ethological investigation and a discreet dedicated brain network. Here we announce the beginnings of a songbird brain integrative project that involves high-throughput, molecular, anatomical, electrophysiological and behavioral levels of analysis. We first formed a rationale for inclusion of specific biological levels of analysis, then developed high-throughput molecular technologies on songbird brains, developed technologies for combined analysis of electrophysiological activity and gene regulation in awake behaving animals, and developed bioinformatic tools that predict causal interactions within and between biological levels of organization. This integrative brain project is fitting for the interdisciplinary approaches taken in the current songbird issue of the Journal of Comparative Physiology A and is expected to be conducive to deciphering how brains generate and perceive complex behaviors.
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    ItemOpen Access
    Analysis of the mouse transcriptome based on functional annotation of 60,770 full-length cDNAs.
    (Nature, 2002-12-05) Okazaki, Y; Furuno, M; Kasukawa, T; Adachi, J; Bono, H; Kondo, S; Nikaido, I; Osato, N; Osato, N; Saito, R; Suzuki, H; Yamanaka, I; Kiyosawa, H; Yagi, K; Tomaru, Y; Hasegawa, Y; Nogami, A; Schönbach, C; Gojobori, T; Baldarelli, R; Hill, DP; Bult, C; Hume, DA; Hume, DA; Quackenbush, J; Schriml, LM; Kanapin, A; Matsuda, H; Batalov, S; Beisel, KW; Blake, JA; Bradt, D; Brusic, V; Chothia, C; Corbani, LE; Cousins, S; Dalla, E; Dragani, TA; Fletcher, CF; Forrest, A; Frazer, KS; Gaasterland, T; Gariboldi, M; Gissi, C; Godzik, A; Gough, J; Grimmond, S; Gustincich, S; Hirokawa, N; Jackson, IJ; Jarvis, ED; Kanai, A; Kawaji, H; Kawasawa, Y; Kedzierski, RM; King, BL; Konagaya, A; Kurochkin, IV; Lee, Y; Lenhard, B; Lyons, PA; Maglott, DR; Maltais, L; Marchionni, L; McKenzie, L; Miki, H; Nagashima, T; Numata, K; Okido, T; Pavan, WJ; Pertea, G; Pesole, G; Petrovsky, N; Pillai, R; Pontius, JU; Qi, D; Ramachandran, S; Ravasi, T; Reed, JC; Reed, DJ; Reid, J; Ring, BZ; Ringwald, M; Sandelin, A; Schneider, C; Semple, CAM; Setou, M; Shimada, K; Sultana, R; Takenaka, Y; Taylor, MS; Teasdale, RD; Tomita, M; Verardo, R; Wagner, L; Wahlestedt, C; Wang, Y; Watanabe, Y; Wells, C; Wilming, LG; Wynshaw-Boris, A; Yanagisawa, M; Yang, I; Yang, L; Yuan, Z; Zavolan, M; Zhu, Y; Zimmer, A; Carninci, P; Hayatsu, N; Hirozane-Kishikawa, T; Konno, H; Nakamura, M; Sakazume, N; Sato, K; Shiraki, T; Waki, K; Kawai, J; Aizawa, K; Arakawa, T; Fukuda, S; Hara, A; Hashizume, W; Imotani, K; Ishii, Y; Itoh, M; Kagawa, I; Miyazaki, A; Sakai, K; Sasaki, D; Shibata, K; Shinagawa, A; Yasunishi, A; Yoshino, M; Waterston, R; Lander, ES; Rogers, J; Birney, E; Hayashizaki, Y; FANTOM Consortium; RIKEN Genome Exploration Research Group Phase I & II Team
    Only a small proportion of the mouse genome is transcribed into mature messenger RNA transcripts. There is an international collaborative effort to identify all full-length mRNA transcripts from the mouse, and to ensure that each is represented in a physical collection of clones. Here we report the manual annotation of 60,770 full-length mouse complementary DNA sequences. These are clustered into 33,409 'transcriptional units', contributing 90.1% of a newly established mouse transcriptome database. Of these transcriptional units, 4,258 are new protein-coding and 11,665 are new non-coding messages, indicating that non-coding RNA is a major component of the transcriptome. 41% of all transcriptional units showed evidence of alternative splicing. In protein-coding transcripts, 79% of splice variations altered the protein product. Whole-transcriptome analyses resulted in the identification of 2,431 sense-antisense pairs. The present work, completely supported by physical clones, provides the most comprehensive survey of a mammalian transcriptome so far, and is a valuable resource for functional genomics.