Date Published: June 20, 2004
Publisher: Public Library of Science
Author(s): Tadashi Imanishi, Takeshi Itoh, Yutaka Suzuki, Claire O’Donovan, Satoshi Fukuchi, Kanako O Koyanagi, Roberto A Barrero, Takuro Tamura, Yumi Yamaguchi-Kabata, Motohiko Tanino, Kei Yura, Satoru Miyazaki, Kazuho Ikeo, Keiichi Homma, Arek Kasprzyk, Tetsuo Nishikawa, Mika Hirakawa, Jean Thierry-Mieg, Danielle Thierry-Mieg, Jennifer Ashurst, Libin Jia, Mitsuteru Nakao, Michael A Thomas, Nicola Mulder, Youla Karavidopoulou, Lihua Jin, Sangsoo Kim, Tomohiro Yasuda, Boris Lenhard, Eric Eveno, Yoshiyuki Suzuki, Chisato Yamasaki, Jun-ichi Takeda, Craig Gough, Phillip Hilton, Yasuyuki Fujii, Hiroaki Sakai, Susumu Tanaka, Clara Amid, Matthew Bellgard, Maria de Fatima Bonaldo, Hidemasa Bono, Susan K Bromberg, Anthony J Brookes, Elspeth Bruford, Piero Carninci, Claude Chelala, Christine Couillault, Sandro J. de Souza, Marie-Anne Debily, Marie-Dominique Devignes, Inna Dubchak, Toshinori Endo, Anne Estreicher, Eduardo Eyras, Kaoru Fukami-Kobayashi, Gopal R. Gopinath, Esther Graudens, Yoonsoo Hahn, Michael Han, Ze-Guang Han, Kousuke Hanada, Hideki Hanaoka, Erimi Harada, Katsuyuki Hashimoto, Ursula Hinz, Momoki Hirai, Teruyoshi Hishiki, Ian Hopkinson, Sandrine Imbeaud, Hidetoshi Inoko, Alexander Kanapin, Yayoi Kaneko, Takeya Kasukawa, Janet Kelso, Paul Kersey, Reiko Kikuno, Kouichi Kimura, Bernhard Korn, Vladimir Kuryshev, Izabela Makalowska, Takashi Makino, Shuhei Mano, Regine Mariage-Samson, Jun Mashima, Hideo Matsuda, Hans-Werner Mewes, Shinsei Minoshima, Keiichi Nagai, Hideki Nagasaki, Naoki Nagata, Rajni Nigam, Osamu Ogasawara, Osamu Ohara, Masafumi Ohtsubo, Norihiro Okada, Toshihisa Okido, Satoshi Oota, Motonori Ota, Toshio Ota, Tetsuji Otsuki, Dominique Piatier-Tonneau, Annemarie Poustka, Shuang-Xi Ren, Naruya Saitou, Katsunaga Sakai, Shigetaka Sakamoto, Ryuichi Sakate, Ingo Schupp, Florence Servant, Stephen Sherry, Rie Shiba, Nobuyoshi Shimizu, Mary Shimoyama, Andrew J Simpson, Bento Soares, Charles Steward, Makiko Suwa, Mami Suzuki, Aiko Takahashi, Gen Tamiya, Hiroshi Tanaka, Todd Taylor, Joseph D Terwilliger, Per Unneberg, Vamsi Veeramachaneni, Shinya Watanabe, Laurens Wilming, Norikazu Yasuda, Hyang-Sook Yoo, Marvin Stodolsky, Wojciech Makalowski, Mitiko Go, Kenta Nakai, Toshihisa Takagi, Minoru Kanehisa, Yoshiyuki Sakaki, John Quackenbush, Yasushi Okazaki, Yoshihide Hayashizaki, Winston Hide, Ranajit Chakraborty, Ken Nishikawa, Hideaki Sugawara, Yoshio Tateno, Zhu Chen, Michio Oishi, Peter Tonellato, Rolf Apweiler, Kousaku Okubo, Lukas Wagner, Stefan Wiemann, Robert L Strausberg, Takao Isogai, Charles Auffray, Nobuo Nomura, Takashi Gojobori, Sumio Sugano
Abstract: The human genome sequence defines our inherent biological potential; the realization of the biology encoded therein requires knowledge of the function of each gene. Currently, our knowledge in this area is still limited. Several lines of investigation have been used to elucidate the structure and function of the genes in the human genome. Even so, gene prediction remains a difficult task, as the varieties of transcripts of a gene may vary to a great extent. We thus performed an exhaustive integrative characterization of 41,118 full-length cDNAs that capture the gene transcripts as complete functional cassettes, providing an unequivocal report of structural and functional diversity at the gene level. Our international collaboration has validated 21,037 human gene candidates by analysis of high-quality full-length cDNA clones through curation using unified criteria. This led to the identification of 5,155 new gene candidates. It also manifested the most reliable way to control the quality of the cDNA clones. We have developed a human gene database, called the H-Invitational Database (H-InvDB; http://www.h-invitational.jp/). It provides the following: integrative annotation of human genes, description of gene structures, details of novel alternative splicing isoforms, non-protein-coding RNAs, functional domains, subcellular localizations, metabolic pathways, predictions of protein three-dimensional structure, mapping of known single nucleotide polymorphisms (SNPs), identification of polymorphic microsatellite repeats within human genes, and comparative results with mouse full-length cDNAs. The H-InvDB analysis has shown that up to 4% of the human genome sequence (National Center for Biotechnology Information build 34 assembly) may contain misassembled or missing regions. We found that 6.5% of the human gene candidates (1,377 loci) did not have a good protein-coding open reading frame, of which 296 loci are strong candidates for non-protein-coding RNA genes. In addition, among 72,027 uniquely mapped SNPs and insertions/deletions localized within human genes, 13,215 nonsynonymous SNPs, 315 nonsense SNPs, and 452 indels occurred in coding regions. Together with 25 polymorphic microsatellite repeats present in coding regions, they may alter protein structure, causing phenotypic effects or resulting in disease. The H-InvDB platform represents a substantial contribution to resources needed for the exploration of human biology and pathology.
Partial Text: The draft sequences of the human, mouse, and rat genomes are already available (Lander et al. 2001; Marshall 2001; Venter et al. 2001; Waterston et al. 2002). The next challenge comes in the understanding of basic human molecular biology through interpretation of the human genome. To display biological data optimally we must first characterize the genome in terms of not only its structure but also function and diversity. It is of immediate interest to identify factors involved in the developmental process of organisms, non-protein-coding functional RNAs, the regulatory network of gene expression within tissues and its governance over states of health, and protein–gene and protein–protein interactions. In doing so, we must integrate this information in an easily accessible and intuitive format. The human genome may encode only 30,000 to 40,000 genes (Lander et al. 2001; Venter et al. 2001), suggesting that complex interdependent gene regulation mechanisms exist to account for the complex gene networks that differentiate humans from lower-order organisms. In organisms with small genomes, it is relatively straightforward to use direct computational prediction based upon genomic sequence to identify most genes by their long open reading frames (ORFs). However, computational gene prediction from the genomic sequence of organisms with short exons and long introns can be somewhat error-prone (Ashburner 2000; Reese et al. 2000; Lander et al. 2001).