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RIKEN mouse genome encyclopedia.

Yoshihide Hayashizaki1

  • 1Gene Exploration Research Group, Riken Genomic Sciences Center, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, 230-0045, Kanagawa, Japan. yosihide@gsc.riken.go.jp <yosihide@gsc.riken.go.jp>

Mechanisms of Ageing and Development
|March 6, 2003
PubMed
Summary
This summary is machine-generated.

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Researchers created a comprehensive mouse full-length cDNA collection and database, annotating over 60,000 clones. This resource aids in exploring gene function and understanding gene networks for future life science advancements.

Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • Establishing a comprehensive mouse full-length cDNA collection and sequence database is crucial for advancing life science research.
  • The Riken mouse genome encyclopedia project aims to cover a vast number of mouse genes.

Purpose of the Study:

  • To construct higher-level functional annotation (Functional ANnoTation Of Mouse cDNA; FANTOM) for mouse cDNA.
  • To develop systems for exploring gene function based on the established cDNA resources.
  • To create an integrated database for analyzing gene transcriptional networks and gene-phenotype connections.

Main Methods:

  • End-sequencing of over 1,000,000 cDNA clones from 163 tissues.
  • Classification of sequences into clusters and full sequencing of representative clones.

Related Experiment Videos

  • Development of cDNA microarray, protein-protein interaction, and protein-DNA interaction screening systems.
  • Main Results:

    • 159,789 clusters and 60,770 representative clones were identified.
    • The 60,770 sequenced clones contained 33,409 unique sequences.
    • An integrated database was established, linking sequence, expression, mapping, and interaction data.

    Conclusions:

    • The Riken mouse genome encyclopedia provides a valuable resource for life science research.
    • The developed systems and integrated database facilitate gene function exploration and network analysis.
    • These genome resources are essential for the next generation of life science, enabling positional candidate approaches and phenotype connections.