ExQuest, a novel method for displaying quantitative gene expression from ESTs

Area of Science:

• Bioinformatics
• Genomics
• Molecular Biology

Background:

• Mammalian gene expression data, particularly from expressed sequence tags (ESTs), is abundant but requires effective tools for analysis.
• Tissue-specific cDNA libraries provide insights into gene expression levels, where EST counts correlate with mRNA abundance.

Purpose of the Study:

• To develop an interactive bioinformatics tool, ExQuest (Expressional Quantification of ESTs), for organizing and visualizing mammalian gene expression data.
• To enable researchers to extract and interpret gene expression patterns from public EST databases.

Main Methods:

• ExQuest organizes the public EST database (dbEST) into hierarchical tissue classes.
• It analyzes both mRNA and genomic sequences to report tissue or developmental gene expression patterns.
• The tool generates interactive "transcriptome" maps displaying gene expression in the context of assembled chromosomes.

Main Results:

• ExQuest provides organized tissue expression patterns for mammalian genes.
• Interactive transcriptome maps visualize gene expression across chromosomes.
• The tool facilitates the prioritization of candidate genes within mapped loci.

Conclusions:

• ExQuest offers a novel approach for investigating the genomic basis of gene expression.
• The tool aids in understanding tissue-specific gene activity and developmental patterns.
• It serves as a valuable resource for prioritizing candidate genes in genetic research.