Functional siRNAs and miRNAs exhibit strand bias.

By Anastasia Khvorova, A. Reynolds, S. Jayasena. Cell, 2003

2,854 citations recorded by the source corpus.

Subfields: Cancer Research, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/1b642ba0811886d0a0b0b915540aff69f043a552

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Citations in the corpus

Multi-task learning for cross-platform siRNA efficacy prediction: an in-silico study (2010, background): “Further investigations include the study of the RNAi mechanism itself as well as characteristics of siRNAs with either high or low silencing capacity [10-16].”
Design of a genome-wide siRNA library using an artificial neural network (2005, background): “The requirement for A/U at the 5 ¢ -guide terminus was discovered and rationalized previously 5,6 , and A at position 10 corresponds to a previously characterized U-cleavage site 21 .”
Human RISC couples microRNA biogenesis and posttranscriptional gene silencing. (2005, background): “This thermodynamic asymmetry seems to be a general feature of miRNAs ( Khvorova et al., 2003, Schwarz et al., 2003).”
Thermodynamics of RNA-RNA Binding (2006, background): “…evidence that the biological activity of siRNAs is influenced by local structural characteristics of the target mRNA (Mittal, 2004; KretschmerKazemi Far and Sczakiel, 2003; Bohula et al., 2003; Yoshinari et al., 2004; Overhoff et al., 2005; Schubert et al., 2005; Robins et al., 2005): a target…”
siRNAs: applications in functional genomics and potential as therapeutics (2004, background): “The finding that the sequence of an siRNA molecule itself affects silencing efficiency independently of target site accessibility further complicates comparison of ODNs with siRNA”
microRNA-directed phasing during trans-acting siRNA biogenesis in plants. (2005, background): “The activity of RISCta-siRNA complexes on target mRNAs (or on ta-siRNA precursor transcripts; steps 5 and 6) likely occurs by AGO-dependent mechanisms, resulting in target cleavage and inactivation.”
RNAi therapeutics: principles, prospects and challenges. (2007, background): “To date the most important siRNA design rule is differential end stability (or asymmetry) which is consistent with what is observed for miRNA strand selection [7].”
Second-generation shRNA libraries covering the mouse and human genomes (2005, background): “As with small interfering RNAs (siRNAs), the thermodynamic asymmetry of the Dicer product is sensed such that the strand with the less stable 5′ (end has a greater propensity to enter RISC and guide substrate selectio”
Human MicroRNA Targets (2004, background): “…elements are worth considering in the next generation of target prediction rules: (1) details of strand bias as deduced from siRNA experiments (Khvorova et al. 2003 ), (2) contribution of sequences outside of the mRNA target sites, (3) refinement of position-dependent rules, including…”