Literature DB >> 18072767

Specific RNA self-assembly with minimal paranemic motifs.

Kirill A Afonin1, Dennis J Cieply, Neocles B Leontis.   

Abstract

The paranemic crossover (PX) is a motif for assembling two nucleic acid molecules using Watson-Crick (WC) basepairing without unfolding preformed secondary structure in the individual molecules. Once formed, the paranemic assembly motif comprises adjacent parallel double helices that crossover at every possible point over the length of the motif. The interaction is reversible as it does not require denaturation of basepairs internal to each interacting molecular unit. Paranemic assembly has been demonstrated for DNA but not for RNA and only for motifs with four or more crossover points and lengths of five or more helical half-turns. Here we report the design of RNA molecules that paranemically assemble with the minimum number of two crossovers spanning the major groove to form paranemic motifs with a length of three half turns (3HT). Dissociation constants (Kd's) were measured for a series of molecules in which the number of basepairs between the crossover points was varied from five to eight basepairs. The paranemic 3HT complex with six basepairs (3HT_6M) was found to be the most stable with Kd = 1 x 10-8 M. The half-time for kinetic exchange of the 3HT_6M complex was determined to be approximately 100 min, from which we calculated association and dissociation rate constants ka = 5.11 x 103 M-1s-1 and kd = 5.11 x 10-5 s-1. RNA paranemic assembly of 3HT and 5HT complexes is blocked by single-base substitutions that disrupt individual intermolecular Watson-Crick basepairs and is restored by compensatory substitutions that restore those basepairs. The 3HT motif appears suitable for specific, programmable, and reversible tecto-RNA self-assembly for constructing artificial RNA molecular machines.

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Year:  2007        PMID: 18072767      PMCID: PMC4869885          DOI: 10.1021/ja071516m

Source DB:  PubMed          Journal:  J Am Chem Soc        ISSN: 0002-7863            Impact factor:   15.419


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