Analysis of the mouse transcriptome based on functional annotation of 60,770 full-length cDNAs.

TitleAnalysis of the mouse transcriptome based on functional annotation of 60,770 full-length cDNAs.
Publication TypeJournal Article
Year of Publication2002
AuthorsOkazaki Y, Furuno M, Kasukawa T, Adachi J, Bono H, Kondo S, Nikaido I, Osato N, Saito R, Suzuki H et al.
Corporate AuthorsFANTOM Consortium, RIKEN Genome Exploration Research Group Phase I & II Team
JournalNature
Volume420
Issue6915
Pagination563-73
Date Published2002 Dec 05
ISSN0028-0836
KeywordsAlternative Splicing, Amino Acid Motifs, Animals, Chromosomes, Mammalian, Cloning, Molecular, Databases, Genetic, DNA, Complementary, Expressed Sequence Tags, Genes, Genomics, Humans, Membrane Proteins, Mice, Physical Chromosome Mapping, Protein Structure, Tertiary, Proteome, RNA, Antisense, RNA, Messenger, RNA, Untranslated, Transcription Initiation Site, Transcription, Genetic
Abstract

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.

DOI10.1038/nature01266
Alternate JournalNature
PubMed ID12466851
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