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Gene expression and development databases for C. elegans

Martinelli1, Brown, Durbin

  • 1Sanger Centre, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK

Seminars in Cell & Developmental Biology
|January 27, 1998
PubMed
Summary
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The nematode Caenorhabditis elegans (C. elegans) offers a transparent model for studying gene expression during development. Data is stored in the ACeDB database, linked to biological features and developmental stages, aiding research and genome projects.

Area of Science:

  • Developmental Biology
  • Genomics
  • Bioinformatics

Background:

  • The nematode worm Caenorhabditis elegans (C. elegans) is a valuable model organism due to its transparent body, facilitating the study of developmental gene expression.
  • Comprehensive expression data is crucial for understanding embryogenesis and the organism's life cycle.

Purpose of the Study:

  • To consolidate and disseminate C. elegans gene expression data.
  • To create a linked database for gene expression patterns, associated biological entities, and developmental stages.
  • To develop tools for visualizing and analyzing this data.

Main Methods:

  • Utilizing in-situ hybridization, immunolocalization, and reporter constructs to gather gene expression data.
  • Storing and organizing data within the ACeDB database.

Related Experiment Videos

  • Developing the 'Angler' program for image and data visualization.
  • Main Results:

    • Gene expression patterns are systematically linked to genes, sequences, cells, organs, and developmental stages within the ACeDB database.
    • The ACeDB database serves as a central repository for C. elegans data, supporting genome sequencing initiatives.
    • 'Angler' allows browsing of embryonic development images correlated with cell lineage and positional data.

    Conclusions:

    • The integrated ACeDB database and 'Angler' program provide a powerful resource for C. elegans research.
    • This system enhances the study of developmental gene expression and facilitates genomic analysis.
    • The accessibility of linked expression data supports a deeper understanding of worm development.