Identifying Regulatory Sequences in Mammalian 3' UTRs
Author Information
Author(s): Corà Davide, Di Cunto Ferdinando, Caselle Michele, Provero Paolo
Primary Institution: University of Turin
Hypothesis
Can statistical analysis of oligonucleotide distributions in mammalian 3' UTRs identify candidate binding sites for regulatory elements?
Conclusion
The proposed methods successfully identified known binding sites and suggested many new candidates for experimental verification.
Supporting Evidence
- The methods identified many previously known binding sites located in 3' UTRs.
- Statistical analysis revealed conserved overrepresentation of oligonucleotides.
- Strand asymmetry was used to identify regulatory elements in 3' UTRs.
Takeaway
The study developed two methods to find important sequences in genes that help control how proteins are made, which could lead to new discoveries about gene regulation.
Methodology
The study used statistical analysis of oligonucleotide frequencies and evolutionary conservation to identify candidate binding sites in 3' UTRs.
Limitations
The methods may miss some regulatory elements due to their reliance on statistical overrepresentation and conservation.
Statistical Information
P-Value
p<0.01
Statistical Significance
p<0.01
Digital Object Identifier (DOI)
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