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Stephanie C Oestreich

Publications and source records attributed to Stephanie C Oestreich.

2 recordsLinked to original sources

Aptamers selected for higher-affinity binding are not more specific for the target ligand.

Previous study of eleven different in vitro-selected RNA aptamers that bind guanosine triphosphate (GTP) with K(d)s ranging from 8 microM to 9 nM showed that more information is required to specify the structures of the higher-affinity aptamers. We are interested in understanding how the more complex aptamers achieve higher affinities for the ligand. In vitro selection produces structural solutions to a functional problem that are are as simple as possible in terms of the information content needed to define them. It has long been assumed that the simplest way to improve the affinity of an aptamer is to increase the shape and functional group complementarity of the RNA binding pocket for the ligand. This argument underlies the hypothesis that selection for higher-affinity aptamers automatically leads to structures that bind more specifically to the target molecule. Here, we examined the binding specificities of the eleven GTP aptamers by carrying out competition binding studies with sixteen different chemical analogues of GTP. The aptamers have distinct patterns of specificity, implying that each RNA is a structurally unique solution to the problem of GTP binding. However, these experiments failed to provide evidence that higher-affinity aptamers bind more specifically to GTP. We suggest that the simplest way to improve aptamer K(d)s may be to increase the stability of the RNA tertiary structure with additional intramolecular RNA-RNA interactions; increasingly specific ligand binding may emerge only in response to direct selection for specificity.

Aptamers, Nucleotide↗

Informational complexity and functional activity of RNA structures.

Very little is known about the distribution of functional DNA, RNA, and protein molecules in sequence space. The question of how the number and complexity of distinct solutions to a particular biochemical problem varies with activity is an important aspect of this general problem. Here we present a comparison of the structures and activities of eleven distinct GTP-binding RNAs (aptamers). By experimentally measuring the amount of information required to specify each optimal binding structure, we show that defining a structure capable of 10-fold tighter binding requires approximately 10 additional bits of information. This increase in information content is equivalent to specifying the identity of five additional nucleotide positions and corresponds to an approximately 1000-fold decrease in abundance in a sample of random sequences. We observe a similar relationship between structural complexity and activity in a comparison of two catalytic RNAs (ribozyme ligases), raising the possibility of a general relationship between the complexity of RNA structures and their functional activity. Describing how information varies with activity in other heteropolymers, both biological and synthetic, may lead to an objective means of comparing their functional properties. This approach could be useful in predicting the functional utility of novel heteropolymers.

Base Composition↗