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A combinatorial approach to the repertoire of RNA kissing motifs; towards multiplex detection by switching hairpin aptamers.

ABSTRACT: Loop-loop (also known as kissing) interactions between RNA hairpins are involved in several mechanisms in both prokaryotes and eukaryotes such as the regulation of the plasmid copy number or the dimerization of retroviral genomes. The stability of kissing complexes relies on loop parameters (base composition, sequence and size) and base combination at the loop-loop helix - stem junctions. In order to identify kissing partners that could be used as regulatory elements or building blocks of RNA scaffolds, we analysed a pool of 5.2 × 10(6) RNA hairpins with randomized loops. We identified more than 50 pairs of kissing RNA hairpins. Two kissing motifs, 5'CCNY and 5'RYRY, generate highly stable complexes with KDs in the low nanomolar range. Such motifs were introduced in the apical loop of hairpin aptamers that switch between unfolded and folded state upon binding to their cognate target molecule, hence their name aptaswitch. The aptaswitch-ligand complex is specifically recognized by a second RNA hairpin named aptakiss through loop-loop interaction. Taking advantage of our kissing motif repertoire we engineered aptaswitch-aptakiss modules for purine derivatives, namely adenosine, GTP and theophylline and demonstrated that these molecules can be specifically and simultaneously detected by surface plasmon resonance or by fluorescence anisotropy.

SUBMITTER: Durand G

PROVIDER: S-EPMC4872101 | biostudies-literature | 2016 May

REPOSITORIES: biostudies-literature

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A combinatorial approach to the repertoire of RNA kissing motifs; towards multiplex detection by switching hairpin aptamers.

Durand Guillaume G Dausse Eric E Goux Emma E Fiore Emmanuelle E Peyrin Eric E Ravelet Corinne C Toulmé Jean-Jacques JJ

Nucleic acids research 20160411 9

Loop-loop (also known as kissing) interactions between RNA hairpins are involved in several mechanisms in both prokaryotes and eukaryotes such as the regulation of the plasmid copy number or the dimerization of retroviral genomes. The stability of kissing complexes relies on loop parameters (base composition, sequence and size) and base combination at the loop-loop helix - stem junctions. In order to identify kissing partners that could be used as regulatory elements or building blocks of RNA sc ...[more]

PMID: 27067541

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Project description:The study of protein folding mechanisms continues to be one of the most challenging problems in computational biology. Currently, the protein folding mechanism is often characterized by calculating the free energy landscape versus various reaction coordinates, such as the fraction of native contacts, the radius of gyration, RMSD from the native structure, and so on. In this paper, we present a combinatorial pattern discovery approach toward understanding the global state changes during the folding process. This is a first step toward an unsupervised (and perhaps eventually automated) approach toward identification of global states. The approach is based on computing biclusters (or patterned clusters)-each cluster is a combination of various reaction coordinates, and its signature pattern facilitates the computation of the Z-score for the cluster. For this discovery process, we present an algorithm of time complexity c in RO((N + nm) log n), where N is the size of the output patterns and (n x m) is the size of the input with n time frames and m reaction coordinates. To date, this is the best time complexity for this problem. We next apply this to a beta-hairpin folding trajectory and demonstrate that this approach extracts crucial information about protein folding intermediate states and mechanism. We make three observations about the approach: (1) The method recovers states previously obtained by visually analyzing free energy surfaces. (2) It also succeeds in extracting meaningful patterns and structures that had been overlooked in previous works, which provides a better understanding of the folding mechanism of the beta-hairpin. These new patterns also interconnect various states in existing free energy surfaces versus different reaction coordinates. (3) The approach does not require calculating the free energy values, yet it offers an analysis comparable to, and sometimes better than, the methods that use free energy landscapes, thus validating the choice of reaction coordinates. (An abstract version of this work was presented at the 2005 Asia Pacific Bioinformatics Conference [1].).

Project description:The conformations and stabilities of the β-hairpin model peptides of Waters (Riemen, A. J.; Waters, M. L. Biochemistry 2009, 48, 1525; Hughes, R. M.; Benshoff, M. L.; Waters, M. L. Chemistry 2007, 13, 5753) have been experimentally characterized as a function of lysine ε-methylation. These models were developed to explore molecular recognition of known epigenetic recognition motifs. This system offered an opportunity to computationally examine the role of cation-π interactions, desolvation of the ε-methylated ammonium groups, and aromatic/aromatic interactions on the observed differences in NMR spectra. AMOEBA, a second-generation force field (Ponder, J. W.; Wu, C.; Ren, P.; Pande, V. S.; Chodera, J. D.; Schnieders, M. J.; Haque, I.; Mobley, D. L.; Lambrecht, D. S.; DiStasio, R. A., Jr.; Head-Gordon, M.; Clark, G. N.; Johnson, M. E.; Head-Gordon, T. J. Phys. Chem. B 2010, 114, 2549), was chosen as it includes both multipole electrostatics and polarizability thought to be essential to accurately characterize such interactions. Independent parametrization of ε-methylated amines was required from which aqueous solvation free energies were estimated and shown to agree with literature values. Molecular dynamics simulations (100 ns) using the derived parameters with model peptides, such as Ac-R-W-V-W-V-N-G-Orn-K(Me)(n)-I-L-Q-NH(2), where n = 0, 1, 2, or 3, were conducted in explicit solvent. Distances between the centers of the indole rings of the two-tryptophan residues, 2 and 4, and the ε-methylated ammonium group on Lys-9 as well as the distance between the N- and C-termini were monitored to estimate the strength and orientation of the cation-π and aromatic/aromatic interactions. In agreement with the experimental data, the stability of the β-hairpin increased significantly with lysine ε-methylation. The ability of MD simulations to reproduce the observed NOEs for the four peptides was further estimated for the monopole-based force fields, AMBER, CHARMM, and OPLSAA. AMOEBA correctly predicted over 80% of the observed NOEs for all 4 peptides, while the three-monopole force fields were 40-50% predictive in only 2 cases and approximately 10% in the other 10 examples. Preliminary analysis suggests that the decreased cost of desolvation of the substituted ammonium group significantly compensated for the reduced cation-π interaction resulting from the increased separation due to steric bulk of the ε-methylated amines.

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A combinatorial approach to the repertoire of RNA kissing motifs; towards multiplex detection by switching hairpin aptamers.

Publications

A combinatorial approach to the repertoire of RNA kissing motifs; towards multiplex detection by switching hairpin aptamers.

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