Mechanistic studies on acyl-transferase ribozymes and beyond

Computational approaches toward the design of pools for the in vitro selection of complex aptamers

It is well known that using random RNA/DNA sequences for SELEX experiments will generally yield low-complexity structures. Early experimental results suggest that having a structurally diverse library, which, for instance, includes high-order junctions, may prove useful in finding new functional motifs. Here, we develop two computational methods to generate sequences that exhibit higher structural complexity and can be used to increase the overall structural diversity of initial pools for in vitro selection experiments. Random Filtering selectively increases the number of five-way junctions in RNA/DNA pools, and Genetic Filtering designs RNA/DNA pools to a specified structure distribution, whether uniform or otherwise. We show that using our computationally designed DNA pool greatly improves access to highly complex sequence structures for SELEX experiments (without losing our ability to select for common one-way and two-way junction sequences).

Synthesis of biopolymers using genetic code reprogramming

Genetic code reprogramming is a new emerging methodology that enables us to synthesize non-standard peptides containing multiple non-proteinogenic amino acids using translation machinery. This review describes the historical background of this methodology and what distinguishes it from the classical 'nonsense suppression' methodology, followed by a discussion of recent developments in combining this methodology with other compatible technologies. Specifically, we discuss in detail the combination of genetic code reprogramming with flexizymes, de novo tRNA acylation ribozymes that facilitate the charging process of a variety of non-proteinogenic amino acids onto tRNAs bearing designated anticodons, and summarize some of the recent demonstrations of the synthesis of non-standard peptides with cyclic structure or/and altered backbones employing this technology.

Predicting candidate genomic sequences that correspond to synthetic functional RNA motifs

Riboswitches and RNA interference are important emerging mechanisms found in many organisms to control gene expression. To enhance our understanding of such RNA roles, finding small regulatory motifs in genomes presents a challenge on a wide scale. Many simple functional RNA motifs have been found by in vitro selection experiments, which produce synthetic target-binding aptamers as well as catalytic RNAs, including the hammerhead ribozyme. Motivated by the prediction of Piganeau and Schroeder [(2003) Chem. Biol., 10, 103–104] that synthetic RNAs may have natural counterparts, we develop and apply an efficient computational protocol for identifying aptamer-like motifs in genomes. We define motifs from the sequence and structural information of synthetic aptamers, search for sequences in genomes that will produce motif matches, and then evaluate the structural stability and statistical significance of the potential hits. Our application to aptamers for streptomycin, chloramphenicol, neomycin B and ATP identifies 37 candidate sequences (in coding and non-coding regions) that fold to the target aptamer structures in bacterial and archaeal genomes. Further energetic screening reveals that several candidates exhibit energetic properties and sequence conservation patterns that are characteristic of functional motifs. Besides providing candidates for experimental testing, our computational protocol offers an avenue for expanding natural RNA's functional repertoire.

Programmable ribozymes for mischarging tRNA with nonnatural amino acids and their applications to translation

Here we describe a novel technology that allows users to charge nonnatural amino acids onto any tRNA. This technology is based on a resin-immobilized ribozyme system, called Flexiresin. It enables users to readily and rapidly synthesize misacylated tRNAs with a wide variety of phenylalanine analogs. Since Flexiresin is reusable and little effort is necessary for regeneration, it is economical and convenient. Moreover, it can adapt to virtually any tRNA chosen by the user, and can therefore be applied to not only a single site mutation but also multiple sites with designated nonnatural amino acids when both the amber and programmed frame-shift mutations are utilized. The original ribozyme utilized for Flexiresin was artificially generated in vitro, and thus the technology in principle could be broadened from Phe analogues to essentially any amino acid.

In vitro RNA random pools are not structurally diverse: a computational analysis

In vitro selection of functional RNAs from large random sequence pools has led to the identification of many ligand-binding and catalytic RNAs. However, the structural diversity in random pools is not well understood. Such an understanding is a prerequisite for designing sequence pools to increase the probability of finding complex functional RNA by in vitro selection techniques. Toward this goal, we have generated by computer five random pools of RNA sequences of length up to 100 nt to mimic experiments and characterized the distribution of associated secondary structural motifs using sets of possible RNA tree structures derived from graph theory techniques. Our results show that such random pools heavily favor simple topological structures: For example, linear stem-loop and low-branching motifs are favored rather than complex structures with high-order junctions, as confirmed by known aptamers. Moreover, we quantify the rise of structural complexity with sequence length and report the dominant class of tree motifs (characterized by vertex number) for each pool. These analyses show not only that random pools do not lead to a uniform distribution of possible RNA secondary topologies; they point to avenues for designing pools with specific simple and complex structures in equal abundance in the goal of broadening the range of functional RNAs discovered by in vitro selection. Specifically, the optimal RNA sequence pool length to identify a structure with x stems is 20x.