Combinatorics of RNA–RNA interaction

RNA–RNA binding is an important phenomenon observed for many classes of non-coding RNAs and plays a crucial role in a number of regulatory processes. Recently several MFE folding algorithms for predicting the joint structure of two interacting RNA molecules have been proposed. Here joint structure means that in a diagram representation the intramolecular bonds of each partner are pseudoknot-free, that the intermolecular binding pairs are noncrossing, and that there is no so-called “zigzag” configuration. This paper presents the combinatorics of RNA interaction structures including their generating function, singularity analysis as well as explicit recurrence relations. In particular, our results imply simple asymptotic formulas for the number of joint structures.     

Hepatitis C virus RNA: molecular switches mediated by long-range RNA–RNA interactions?

Multiple conserved structural cis-acting regulatory elements have been recognized both in the coding and untranslated regions (UTRs) of the hepatitis C virus (HCV) genome. For example, the cis-element 5BSL3.2 in the HCV-coding region has been predicted to use both its apical and internal loops to interact with the X RNA in the 3′-UTR, with the IIId domain in the 5′-UTR and with the Alt sequence in the coding region. Additionally, the X RNA region uses a palindromic sequence that overlaps the sequence required for the interaction with 5BSL3.2, to dimerize with another HCV genome. The ability of the 5BSL3.2 and X RNA regions to engage in multi-interactions suggests the existence of one or more molecular RNA switches which may regulate different steps of the HCV life cycle. In this study, we used biophysical methods to characterize the essential interactions of these HCV cis-elements at the molecular level. Our results indicate that X RNA interacts with 5BSL3.2 and another X RNA molecule by adopting two different conformations and that 5BSL3.2 engages simultaneously in kissing interactions using its apical and internal loops. Based on these results, we propose a mode of action for possible molecular switches involving the HCV RNA.     

Hydration of protein–RNA recognition sites

We investigate the role of water molecules in 89 protein–RNA complexes taken from the Protein Data Bank. Those with tRNA and single-stranded RNA are less hydrated than with duplex or ribosomal proteins. Protein–RNA interfaces are hydrated less than protein–DNA interfaces, but more than protein–protein interfaces. Majority of the waters at protein–RNA interfaces makes multiple H-bonds; however, a fraction do not make any. Those making H-bonds have preferences for the polar groups of RNA than its partner protein. The spatial distribution of waters makes interfaces with ribosomal proteins and single-stranded RNA relatively ‘dry’ than interfaces with tRNA and duplex RNA. In contrast to protein–DNA interfaces, mainly due to the presence of the 2′OH, the ribose in protein–RNA interfaces is hydrated more than the phosphate or the bases. The minor groove in protein–RNA interfaces is hydrated more than the major groove, while in protein–DNA interfaces it is reverse. The strands make the highest number of water-mediated H-bonds per unit interface area followed by the helices and the non-regular structures. The preserved waters at protein–RNA interfaces make higher number of H-bonds than the other waters. Preserved waters contribute toward the affinity in protein–RNA recognition and should be carefully treated while engineering protein–RNA interfaces.     

Interferon Induction: DNA–RNA Hybrid or Double Stranded RNA?

Interferon inducing capacity resides solely with double stranded RNA.     

‘RNA walk’ a novel approach to study RNA–RNA interactions between a small RNA and its target

In this study we describe a novel method to investigate the RNA–RNA interactions between a small RNA and its target that we termed ‘RNA walk’. The method is based on UV-induced AMT cross-linking in vivo followed by affinity selection of the hybrid molecules and mapping the intermolecular adducts by RT–PCR or real-time PCR. Domains carrying the cross-linked adducts fail to efficiently amplify by PCR compared with non-cross-linked domains. This method was calibrated and used to study the interaction between a special tRNA-like molecule (sRNA-85) that is part of the trypanosome signal recognition particle (SRP) complex and the ribosome. Four contact sites between sRNA-85 and rRNA were identified by ‘RNA walk’ and were further fine-mapped by primer extension. Two of the contact sites are expected; one contact site mimics the interaction of the mammalian Alu domain of SRP with the ribosome and the other contact sites include a canonical tRNA interaction. The two other cross-linked sites could not be predicted. We propose that ‘RNA walk, is a generic method to map target RNA small RNAs interactions in vivo.     

The RNA Polymerase Structure–Function Study (1962–2001)

The study of RNA polymerase initiated by R.B. Khesin has been conducted for about forty years at the laboratory founded by him (since 1989, in collaboration with A. Goldfarb's laboratory). Genetic methods are used in combination with methods of the specific chemical crosslinks of nucleic acids with proteins. The paper assesses the main results of the study in comparison with the recent high-resolution X-ray crystallographic data. A short comparative summary of the RNA polymerase structure is presented for bacteria, archaebacteria, and eukaryotic organelles and nuclei. A brief history of the RNA polymerase study is also given.     

Interaction between Auxin–binding Protein–I and RNA Polymerase II

Interactions between auxin–binding protein–I (ABP–I), purified from etiolated mung bean seedlings, and nuclear components from mung bean tissues were investigated. When NaCI–solubilized components of chromatin were put on an affinity column of ABP–I–Iinked Sepharose 4B, a small amount of the material was retained on the affinity column and was eluted with 1 M NaCl. RNA polymerase II activity was detected in the eluted fraction. Partially purified RNA polymerase II from mung bean nuclei and purified RNA polymerase II from wheat germ also bound to ABP–I. Indole–3–acetic acid was not necessary for the binding of RNA polymerase II to ABP–I. Acid–denatured ABP–I did not bind to RNA polymerase II from wheat germ. The addition of ABP–I to the reaction mixture for RNA synthesis in vitro caused a stimulation of the activity of wheat germ RNA polymerase.     

Probing RNA–antibiotic interactions: a FTIR study

The crystal structure determination of antibiotic binding sites on the 30S ribosomal subunit and the increasing demand for developing RNA-based drugs has prompted us to study the direct binding of spectinomycin, vancomycin and bleomycin with yeast total RNA using Fourier transform infrared (FTIR) spectroscopy. We report that the OH of spectinomycin and the peptide group of vancomycin can bind to the bases of RNA, which might depend on Mg²⁺ concentration. Bleomycin on the other hand does not show such a drastic effect on yeast total RNA. This study might help in developing innovative strategies utilizing RNA molecules to perform a variety of essential biological functions.     

High throughput platform to explore RNA–protein interactomes

RNA binding proteins (RBPs) and RNA interaction is an emerging topic in molecular biology. Many reports showed that such interactions contribute to many cellular processes as well as disease development. Several standard in vitro and in vivo methods were developed to fulfill the needs of this RBP–RNA interaction study to explore their biological functions. However, these methods have their limitations in terms of throughput. In this review, we emphasize two important high throughput methods to studying RBP–RNA interactions, affinity purification and protein microarray. These methods have recently become robust techniques regarding their efficiency in systematically analyzing RBP–RNA interactions. Here, we provide technique overviews, strategies and applications of these methods during biological research. Although these technologies are just beginning to be explored, they will be most important methods in this study.     

A NMR guided approach for CsrA–RNA crystallization

Structure determination of protein–nucleic acid complexes remains a challenging task. Here we present a simple method for generating crystals of a CsrA–nucleic acid complex, guided entirely by results from nuclear magnetic resonances spectroscopy (NMR) spectroscopy. Using a construct that lacks thirteen non-essential C-terminal residues, efficient binding to DNA could be demonstrated. One CsrA dimer interacts with two DNA oligonucleotides, similar to previous findings with RNA. Furthermore, the NMR study of the CsrA–DNA complex was the basis for successfully homing in on conditions that were suitable for obtaining crystals of the CsrA–DNA complex. Our results may be useful for those cases where RNA in protein–nucleic acid complexes may be replaced by DNA.     

Recognition of HIV-TAR RNA using neomycin–benzimidazole conjugates

Synthesis of a novel class of compounds and their biophysical studies with TAR-RNA are presented. The synthesis of these compounds was achieved by conjugating neomycin, an aminoglycoside, with benzimidazoles modeled from a B-DNA minor groove binder, Hoechst 33258. The neomycin–benzimidazole conjugates have varying linkers that connect the benzimidazole and neomycin units. The linkers of varying length (5–23 atoms) in these conjugates contain one to three triazole units. The UV thermal denaturation experiments showed that the conjugates resulted in greater stabilization of the TAR-RNA than either neomycin or benzimidazole used in the synthesis of conjugates. These results were corroborated by the FID displacement and tat-TAR inhibition assays. The binding of ligands to the TAR-RNA is affected by the length and composition of the linker. Our results show that increasing the number of triazole groups and the linker length in these compounds have diminishing effect on the binding to TAR-RNA. Compounds that have shorter linker length and fewer triazole units in the linker displayed increased affinity towards the TAR RNA.     

LigandRNA: computational predictor of RNA–ligand interactions

RNA molecules have recently become attractive as potential drug targets due to the increased awareness of their importance in key biological processes. The increase of the number of experimentally determined RNA 3D structures enabled structure-based searches for small molecules that can specifically bind to defined sites in RNA molecules, thereby blocking or otherwise modulating their function. However, as of yet, computational methods for structure-based docking of small molecule ligands to RNA molecules are not as well established as analogous methods for protein-ligand docking. This motivated us to create LigandRNA, a scoring function for the prediction of RNA–small molecule interactions. Our method employs a grid-based algorithm and a knowledge-based potential derived from ligand-binding sites in the experimentally solved RNA–ligand complexes. As an input, LigandRNA takes an RNA receptor file and a file with ligand poses. As an output, it returns a ranking of the poses according to their score. The predictive power of LigandRNA favorably compares to five other publicly available methods. We found that the combination of LigandRNA and Dock6 into a “meta-predictor” leads to further improvement in the identification of near-native ligand poses. The LigandRNA program is available free of charge as a web server at http://ligandrna.genesilico.pl.