Use of tiling array data and RNA secondary structure predictions to identify noncoding RNA genes

Area of Science:

• Genomics
• Molecular Biology
• Bioinformatics

Background:

• Recent discoveries highlight a vast number of noncoding RNA genes, suggesting many more await identification.
• Comparative genomics reveals numerous human DNA sequences with conserved RNA secondary structures.
• Genome-wide transcription profiling indicates extensive transcriptional activity across the human genome.

Purpose of the Study:

• To identify novel noncoding and structural RNA genes expressed in human cells.
• To leverage comparative genomics and tiling array data for enhanced RNA gene discovery.

Main Methods:

• Combined tiling array data with genome-wide structural RNA predictions.
• Focused on candidate genes with stable hairpin structures or high covariance for verification.
• Utilized northern blotting to confirm gene expression.

Main Results:

• Identified thousands of candidate human RNA genes using the combined strategy.
• Verified the expression of 2 out of 3 hairpin structures and 3 out of 9 high covariance structures in SK-N-AS cells.
• Demonstrated the efficacy of the integrated approach in discovering expressed RNA genes.

Conclusions:

• Numerous human noncoding, structured, and conserved RNA genes remain undiscovered.
• Tissue-specific tiling array data combined with computational predictions improve the search for structural RNA genes.
• This integrated approach offers a powerful strategy for uncovering novel RNA gene functions.