15,000 Unique Zebrafish EST Clusters and Their Future Use in Microarray for Profiling Gene Expression Patterns During Embryogenesis

  1. Jane Lo1,3,
  2. Sorcheng Lee1,3,
  3. Min Xu1,3,
  4. Feng Liu2,3,
  5. Hua Ruan1,3,
  6. Alvin Eun1,3,
  7. Yawen He1,3,
  8. Weiping Ma1,3,
  9. Weefuen Wang1,
  10. Zilong Wen2,4, and
  11. Jinrong Peng1,4
  1. 1Functional Genomics Lab, Institute of Molecular and Cell Biology, Singapore 117609; 2Molecular and Developmental Immunology Lab, Institute of Molecular and Cell Biology, Singapore 117609

Abstract

A total of 15,590 unique zebrafish EST clusters from two cDNA libraries have been identified. Most significantly, only 22% (3437) of the 15,590 unique clusters matched 2805 (of 15,200) clusters in theDanio rerio UniGene database, indicating that our EST set is complementary to the existing ESTs in the public database and will be invaluable in assisting the annotation of genes based on the upcoming zebrafish genome sequence. Blast search showed that 7824 of our unique clusters matched 6710 known or predicted proteins in the nonredundant database. A cDNA microarray representing ∼3100 unique zebrafish cDNA clusters has been generated and used to profile the gene expression patterns across six different embryonic stages (cleavage, blastula, gastrula, segmentation, pharyngula, and hatching). Analysis of expression data using K-means clustering revealed that genes coding for muscle-specific proteins displayed similar expression patterns, confirming that the coordinate gene expression is important for myogenesis. Our results demonstrate that the combination of microarray technology with the zebrafish model system can provide useful information on how genes are coordinated in a genetic network to control zebrafish embryogenesis and can help to identify novel genes that are important for organogenesis.

[Supplemental material is available online at www.genome.org. The sequence data from this study have been submitted to EMBL under accession nos.AL901610AL928536.]

Footnotes

  • 3 These authors contributed equally to this work.

  • 4 Corresponding authors.

  • E-MAIL pengjr{at}imcb.a-star.edu.sg; FAX 65-68727007.

  • E-MAIL zilong{at}imcb.a-star.edu.sg; FAX 65-68727007.

  • Article and publication are at http://www.genome.org/cgi/doi/10.1101/gr.885403.

    • Received November 8, 2002.
    • Accepted December 30, 2002.
| Table of Contents

Preprint Server