3'-UTR SIRF: A database for identifying clusters of short interspersed repeats in 3' untranslated regions
2007

3'-UTR SIRF: A Database for Identifying Clusters of Short Interspersed Repeats in 3' Untranslated Regions

Sample size: 60 publication 10 minutes Evidence: moderate

Author Information

Author(s): Andken Benjamin B, Lim In, Benson Gary, Vincent John J, Ferenc Matthew T, Heinrich Bianca, Jarzylo Larissa A, Man Heng-Ye, Deshler James O

Primary Institution: Boston University

Hypothesis

Can computational analysis of 3' UTRs identify RNA localization signals in mammalian genes?

Conclusion

The study suggests that short CAC- and CAG-containing motifs may be part of a widely utilized genetic code for specifying polarized patterns of gene expression in mammalian cells.

Supporting Evidence

  • REPFIND identified hundreds of genes with significant clusters of short CAC- and CAG-containing repeats.
  • Four candidate mRNAs were shown to be localized to the neurites of cultured neurons.
  • Short CA-containing motifs may direct mRNA localization in neurons.

Takeaway

This study created a tool to find special patterns in genes that help them know where to go in a cell, like how to get to the right part of a neuron.

Methodology

The REPFIND algorithm was used to analyze 3' UTRs from ~60,000 genes across seven vertebrate species to identify repeated motifs.

Limitations

The study primarily focuses on specific motifs and may not capture all regulatory elements in 3' UTRs.

Participant Demographics

The study analyzed genes from seven vertebrate species including humans, cows, rats, and mice.

Statistical Information

P-Value

p<10-6

Statistical Significance

p<0.0001

Digital Object Identifier (DOI)

10.1186/1471-2105-8-274

Want to read the original?

Access the complete publication on the publisher's website

View Original Publication