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Maximum Sequence Alignment Fails to Predict Off-targeted Gene Regulation by RNAi

Authors :
William Marshall
Anastasia Khvorova
Emily M. Anderson
Amanda Birmingham
Source :
CSB Workshops
Publication Year :
2006
Publisher :
IEEE, 2006.

Abstract

We have employed various sequence alignment algorithms and scoring techniques to determine whether current computational tools accurately predict genes that will be off-targeted by the RNA interference (RNAi) pathway. Our studies show that distributions of maximum alignment scores for off-targeted and untargeted genes are statistically indistinguishable, indicating that maximum complementarity by itself is an unsatisfactory predictor of off-targeting. Interestingly, a highly significant association was observed between off-targeting and exact complementarity between the seed region (bases 2-7) of siRNA and their off-targeted genes. This pattern has been previously recognized in microRNA-mediated gene knockdown and suggests a distinctive role for the 5 terminus of these strands in RNAi-triggered gene suppression.

Details

Database :
OpenAIRE
Journal :
2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05)
Accession number :
edsair.doi...........59a75ee3cfef32082f4e9d9709bdf3f2