Vol 13, Issue 3, 455-466, March 2003
LETTER
15,000 Unique Zebrafish EST Clusters and Their Future Use in Microarray for Profiling Gene Expression Patterns During Embryogenesis
Jane Lo1,3,
Sorcheng Lee1,3,
Min Xu1,3,
Feng Liu2,3,
Hua Ruan1,3,
Alvin Eun1,3,
Yawen He1,3,
Weiping Ma1,3,
Weefuen Wang1,
Zilong Wen2,4 and
Jinrong Peng1,4
1Functional Genomics Lab, Institute of Molecular and Cell
Biology, Singapore 117609; 2Molecular and Developmental
Immunology Lab, Institute of Molecular and Cell Biology, Singapore
117609
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 the
Danio 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.]
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.

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