A web based resource characterizing the zebrafish developmental profile of over 16,000 transcripts

Area of Science:

• Developmental Biology
• Genomics
• Bioinformatics

Background:

• Microarray data analysis presents challenges in result validation and gene prioritization.
• Understanding gene expression dynamics is crucial for characterizing developmental processes.
• Zebrafish serve as a valuable model organism for studying vertebrate development.

Purpose of the Study:

• To create a publicly accessible resource for examining zebrafish developmental gene expression profiles.
• To validate microarray data and facilitate gene prioritization for further research.
• To provide a user-friendly platform for researchers to access and interpret gene expression patterns.

Main Methods:

• Utilized a spotted oligonucleotide microarray to profile over 16,000 unique zebrafish transcripts.
• Collected and integrated 55 microarray gene expression profiling datasets.
• Developed a Perl/CGI-based web tool for searching and visualizing gene expression patterns over time.

Main Results:

• The developed web tool demonstrates high agreement with existing in situ hybridization (80%) and microarray (75%) data.
• Validation comparisons showed 93% agreement between the web tool and in situ data when discrepancies with other microarray data were noted.
• The platform allows users to search genes by accession numbers or nucleotide sequences, displaying expression intensities versus time-course graphs.

Conclusions:

• The developed web-based platform is a reliable and user-friendly resource for zebrafish developmental gene expression analysis.
• This tool aids researchers in validating microarray findings and prioritizing genes based on their developmental expression profiles.
• The resource facilitates a deeper understanding of zebrafish genome expression during embryonic and larval development.