Osiris: an integrated promoter database for Oryza sativa L

Area of Science:

• Plant biology
• Bioinformatics
• Genomics

Background:

• Rice (Oryza sativa L.) is a vital monocot and cereal crop.
• Understanding rice transcriptional networks remains limited despite genome sequencing.
• Existing resources lack integrated analysis of regulatory elements and expression data.

Purpose of the Study:

• To develop a comprehensive database, Osiris, for rice gene regulatory analysis.
• To integrate promoter sequences, transcription factor (TF) binding sites, gene ontology (GO) annotations, and microarray expression data.
• To provide tools for exploring and visualizing rice transcriptional networks.

Main Methods:

• Compilation of promoter sequences for 24,209 rice genes.
• Prediction and integration of transcription factor (TF) binding sites.
• Inclusion of gene ontology (GO) annotations.
• Incorporation of microarray expression data.
• Development of a web-based platform (Osiris) for data visualization and analysis.

Main Results:

• Osiris database now available, housing extensive data for 24,209 rice genes.
• Integrated tools allow visualization of TF binding sites across multiple promoters.
• Statistical analysis of enriched TF binding sites is supported.
• Users can query genes by similar regulatory logic or function.
• Microarray expression patterns for selected gene sets can be visualized.

Conclusions:

• Osiris provides a valuable resource for studying rice gene expression regulation.
• The database facilitates deeper understanding of transcriptional networks in rice.
• Integrated analysis of genomic and expression data aids in dissecting complex biological processes in this important crop.