title: Anchoring hairpin ribozymes to long target RNAs by loop-loop RNA interactions.
abstract: Efficient ribozyme-mediated gene silencing requires the effective binding of a ribozyme to its specific target sequence. Stable stem-loop domains are key elements for efficiency of natural antisense RNAs. This work tests the possibility of using such naturally existing structural motifs for anchoring hairpin ribozymes when targeting long RNAs. Assays were performed with four catalytic antisense RNAs, based on the hairpin ribozyme (HP), that carried a stable stem-loop motif at their 3' end. Extensions consisted of one of the following motifs: the stem-loop II of the natural antisense RNA-CopA, its natural target in CopT, the TAR-RNA motif, or its complementary sequence alphaTAR. Interestingly, the presence of any of these antisense motifs resulted in an enhancement of catalytic performance against the ribozyme's 14-nucleotide-long target RNA (Swt). A series of artificial, long RNA substrates containing the Swt sequence and the natural TAR-RNA stem-loop were constructed and challenged with a catalytic antisense RNA carrying the TAR-complementary stem-loop. This cleaves each of these substrates significantly more efficiently than HP. The deletion of the TAR domain in the substrate, or its substitution by its complementary counterpart alphaTAR, abolishes the positive effect. These results suggest that the enhancement is owed to the interaction of both complementary stem-loop domains. Moreover, they demonstrate that the TAR domain can be used as an anchoring site to facilitate the access of hairpin ribozymes to their specific target sequences within TAR-containing RNAs.
authors.affiliation: Instituto de Parasitología y Biomedicina López-Neyra, Consejo Superior de Investigaciones Científicas, Granada, Spain.
authors.forename: Elena
authors.initials: E
authors.lastname: Puerta-Fernández
authors.forename: Alicia
authors.initials: A
authors.lastname: Barroso-DelJesus
authors.forename: Alfredo
authors.initials: A
authors.lastname: Berzal-Herranz
mesh_terms: D001483:Base Sequence; D008969:Molecular Sequence Data; D009690:Nucleic Acid Conformation; D016372:RNA, Antisense / Q000737:chemistry / Q000235:genetics / Q000378:metabolism*; D016337:RNA, Catalytic / Q000737:chemistry / Q000378:metabolism*; D013379:Substrate Specificity
chemical_list: D016372:RNA, Antisense; D016337:RNA, Catalytic