fulltext.study @t Gmail

Data mining of imperfect double-stranded RNA in 3′3′ untranslated regions of eukaryotic mRNAs

Paper ID Volume ID Publish Year Pages File Format Full-Text
14159 1177 2007 9 PDF Available
Title
Data mining of imperfect double-stranded RNA in 3′3′ untranslated regions of eukaryotic mRNAs
Abstract

Recent developments in the study of RNA silencing indicate that double-stranded RNA (dsRNA) can be used in eukaryotes to block expression of a corresponding cellular gene. There is also a large class of small non-coding RNAs having potential to form a distinct, stable stem-loop in numbers of eukaryotic genomes. We had reported that a large imperfect dsRNA structure with hundreds of base-pairs (bp) in the 3′3′ untranslated region (3′3′UTR) of cytotoxic ribonuclease was correlated with the translation suppression. In this study, we search for such dsRNAs in a 3′3′ UTR database. The occurrence rate of large dsRNA in 3′3′ UTRs ranges from 0.01% in plant to 0.30% in vertebrate mRNAs. However, small imperfect dsRNAs of ∼∼ 30 bp are much more prevalent than large ones. The small dsRNAs are statistically very significant and uniquely well-ordered. Most of them have the conserved structural features of pre-miRNAs. Our data mining of the dsRNAs in the 3′3′ UTR database can be used to explore RNA-based regulation of gene expression.

Keywords
Double-stranded RNA; Well-ordered stem-loop; 3′3′UTR; RNA-based regulation
First Page Preview
Data mining of imperfect double-stranded RNA in 3′3′ untranslated regions of eukaryotic mRNAs
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us
Publisher
Database: Elsevier - ScienceDirect
Journal: Biomolecular Engineering - Volume 24, Issue 3, September 2007, Pages 351–359
Authors
, ,
Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us