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Univ. Tokyo Team Sets the New Horizon for Designing siRNA

by Mituyama Toutai last modified 2007-01-31 23:00

Katoh, T. and Suzuki, T. (U. Tokyo), recently published a novel computational algorithm to predict efficacy of an siRNA from its sequence data. Their web server siExplorer; an implementation of their algorithm is available on-line.

Specific residues at every third position of siRNA shape its efficient RNAi activity

Takayuki Katoh and Tsutomu Suzuki

http://nar.oxfordjournals.org/cgi/content/full/gkl1120?ijkey=uddJw4fp0S4srnQ&keytype=ref

Small interfering RNA (siRNA) induces sequence-specific post-transcriptional gene silencing in mammalian cells. Different efficacy of each siRNA is considered to result from sequence preference by protein components in RNAi. To obtain mechanistic insight into siRNA functionality, here we describe a complete data set of siRNA activities targeting all possible position of a single mRNA in human cells. Seven hundred and two siRNAs covering open reading frame of enhanced green fluorescent protein mRNA ( 720 bases) were examined with minimized error factors. The most important finding is that specific residues at every third position of siRNAs greatly influence its RNAi activity; the optimized base composition at positions 3n + 1 (4,7,10,13,16,19) in siRNAs have positive effects on the activity, which can explain the waving siRNA activity with 3 nucleotides (nt) periodicity in the sequential positions of mRNAs. Since there was an obvious correlation between siRNA activity and its binding affinity to TRBP, a partner protein of human Dicer, the 3-nt periodicity might correlate with the affinity to TRBP. As an algorithm (‘siExplorer’) developed by this observation successfully calculated the activities of siRNAs targeting endogenous human genes, the 3-nt periodicity provides a new aspect unveiling siRNA functionality.

Link

siExplorer http://rna.chem.t.u-tokyo.ac.jp/cgi/siexplorer.htm


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