Conserved features of Y RNAs: a comparison of experimentally derived secondary structures

In this study, phylogenetically conserved structural features of the Ro RNP associated Y RNAs were investigated. The human, iguana, and frog Y3 and Y4 RNA sequences have been determined previously and the respective RNAs were subjected to enzymatic and chemical probing to obtain structural information. For all of the analyzed RNAs, the probing data were used to compose secondary structures, which partly deviate from previously predicted structures. Our results confirm the existence of two stem structures, which are also found at similar positions in hY1 and hY5 RNA. For the remaining parts of hY3 and hY4 RNA the secondary structures differ from those previously proposed based upon computer predictions. What might be more important is that certain parts of the RNAs appear to be flexible, i.e., to adopt several conformations. Another striking feature is that a characteristic pyrimidine-rich region, present in every Y RNA known, is single-stranded in all secondary structures. This may suggest that this region is readily available for base pairing interactions with other cellular nucleic acids, which might be important for the as yet unknown function of the RNAs.     

Sensitive and label-free biosensing of RNA with predicted secondary structures by a triplex affinity capture method

A novel biosensing approach for the label-free detection of nucleic acid sequences of short and large lengths has been implemented, with special emphasis on targeting RNA sequences with secondary structures. The approach is based on selecting 8-aminoadenine-modified parallel-stranded DNA tail-clamps as affinity bioreceptors. These receptors have the ability of creating a stable triplex-stranded helix at neutral pH upon hybridization with the nucleic acid target. A surface plasmon resonance biosensor has been used for the detection. With this strategy, we have detected short DNA sequences (32-mer) and purified RNA (103-mer) at the femtomol level in a few minutes in an easy and level-free way. This approach is particularly suitable for the detection of RNA molecules with predicted secondary structures, reaching a limit of detection of 50 fmol without any label or amplification steps. Our methodology has shown a marked enhancement for the detection (18% for short DNA and 54% for RNA), when compared with the conventional duplex approach, highlighting the large difficulty of the duplex approach to detect nucleic acid sequences, especially those exhibiting stable secondary structures. We believe that our strategy could be of great interest to the RNA field.     

A new comprehensive method for detection of livestock-related pathogenic viruses using a target enrichment system

We tested usefulness of a target enrichment system SureSelect, a comprehensive viral nucleic acid detection method, for rapid identification of viral pathogens in feces samples of cattle, pigs and goats. This system enriches nucleic acids of target viruses in clinical/field samples by using a library of biotinylated RNAs with sequences complementary to the target viruses. The enriched nucleic acids are amplified by PCR and subjected to next generation sequencing to identify the target viruses. In many samples, SureSelect target enrichment method increased efficiencies for detection of the viruses listed in the biotinylated RNA library. Furthermore, this method enabled us to determine nearly full-length genome sequence of porcine parainfluenza virus 1 and greatly increased Breadth, a value indicating the ratio of the mapping consensus length in the reference genome, in pig samples. Our data showed usefulness of SureSelect target enrichment system for comprehensive analysis of genomic information of various viruses in field samples.     

Ribonucleic Acids of Human Milk

The milk feeding is the most essential process laying the foundation of human health at the postnatal development. However little is known about nucleic acids secreted into mother's milk during lactation. In order to investigate the composition and abundance of human milk NA we adapted the conventional isolation method to achieve high yield of total nucleic acids from milk samples. Concentration of total NA in milk samples of different donors varies from 20 to 68 mkg/ml at early stages of lactation. The average concentration tends to fall down to the end of lactation. The chain length of the major forms of NA varies from mononucleotides up to approximately 100 bases. Compositions of milk oligonucleotides are similar in samples of different donors. Major milk oligonucleotides are formed of RNA. Human milk contains the set of long‐chain oligonucleotides with a developed secondary structure. Sequences of some oligo‐RNAs correspond to the 3′‐part of 5.8 S human ribosomal RNA and to the 3′‐parts of tRNAVal and tRNATyr Primary structures of some others oligo‐RNAs were related to fragments of human 18S and 28S rRNAs.     

Specificity and sensitivity of an RNA targeting type III CRISPR complex coupled with a NucC endonuclease effector

Type III CRISPR systems detect invading RNA, resulting in the activation of the enzymatic Cas10 subunit. The Cas10 cyclase domain generates cyclic oligoadenylate (cOA) second messenger molecules, activating a variety of effector nucleases that degrade nucleic acids to provide immunity. The prophage-encoded Vibrio metoecus type III-B (VmeCmr) locus is uncharacterised, lacks the HD nuclease domain in Cas10 and encodes a NucC DNA nuclease effector that is also found associated with Cyclic-oligonucleotide-based anti-phage signalling systems (CBASS). Here we demonstrate that VmeCmr is activated by target RNA binding, generating cyclic-triadenylate (cA₃) to stimulate a robust NucC-mediated DNase activity. The specificity of VmeCmr is probed, revealing the importance of specific nucleotide positions in segment 1 of the RNA duplex and the protospacer flanking sequence (PFS). We harness this programmable system to demonstrate the potential for a highly specific and sensitive assay for detection of the SARS-CoV-2 virus RNA with a limit of detection (LoD) of 2 fM using a commercial plate reader without any extrinsic amplification step. The sensitivity is highly dependent on the guide RNA used, suggesting that target RNA secondary structure plays an important role that may also be relevant in vivo.     

Properties of an LNA-modified ricin RNA aptamer

'Locked nucleic acids' (LNAs) are sugar modified nucleic acids containing the 2'-O-4'C-methylene-β-D-ribofuranoses. The substitution of RNAs with LNAs leads to an enhanced thermostability. Aptamers are nucleic acids, which are selected for specific target binding from a large library pool by the 'SELEX' method. Introduction of modified nucleic acids into aptamers can improve their stability. The stem region of a ricin A chain RNA aptamer was substituted by locked nucleic acids. Different constructs of the LNA-substituted aptamers were examined for their thermostability, binding activity, folding and RNase sensitivity as compared to the natural RNA counterpart. The LNA-modified aptamers were active in target binding, while the loop regions and the adjacent stem nucleotides remained unsubstituted. The thermostability and RNase resistance of LNA substituted aptamers were enhanced as compared to the native RNA aptamer. This study supports the approach to substitute the aptamer stem region by LNAs and to leave the loop region unmodified, which is responsible for ligand binding. Thus, LNAs possess an encouraging potential for the development of new stabilized nucleic acids and will promote future diagnostic and therapeutic applications.     

A programmable pAgo nuclease with universal guide and target specificity from the mesophilic bacterium Kurthia massiliensis

Argonaute proteins are programmable nucleases that are found in both eukaryotes and prokaryotes and provide defense against invading genetic elements. Although some prokaryotic argonautes (pAgos) were shown to recognize RNA targets in vitro, the majority of studied pAgos have strict specificity toward DNA, which limits their practical use in RNA-centric applications. Here, we describe a unique pAgo nuclease, KmAgo, from the mesophilic bacterium Kurthia massiliensis that can be programmed with either DNA or RNA guides and can precisely cleave both DNA and RNA targets. KmAgo binds 16–20 nt long 5′-phosphorylated guide molecules with no strict specificity for their sequence and is active in a wide range of temperatures. In bacterial cells, KmAgo is loaded with small DNAs with no obvious sequence preferences suggesting that it can uniformly target genomic sequences. Mismatches between the guide and target sequences greatly affect the efficiency and precision of target cleavage, depending on the mismatch position and the nature of the reacting nucleic acids. Target RNA cleavage by KmAgo depends on the formation of secondary structure indicating that KmAgo can be used for structural probing of RNA. These properties of KmAgo open the way for its use for highly specific nucleic acid detection and cleavage.     

Urea Facilitates the Translocation of Single-Stranded DNA and RNA Through the α-Hemolysin Nanopore

The staphylococcal α-hemolysin (αHL) protein nanopore is under investigation as a fast, cheap detector for nucleic acid analysis and sequencing. Although discrimination of all four bases of DNA by the αHL pore has been demonstrated, analysis of single-stranded DNAs and RNAs containing secondary structure mediated by basepairing is prevented because these nucleic acids cannot be translocated through the pore. Here, we show that a structured 95-nucleotide single-stranded DNA and its RNA equivalent are translocated through the αHL pore in the presence of 4 M urea, a concentration that denatures the secondary structure of the polynucleotides. The αHL pore is functional even in 7 M urea, and therefore it is easily stable enough for analyses of challenging DNA and RNA species.     

Artificial MicroRNAs highly accessible to targets confer efficient virus resistance in plants

Short-hairpin RNAs based on microRNA (miRNA) precursors to express the artificial miRNAs (amiRNAs) can specifically induce gene silencing and confer virus resistance in plants. The efficacy of RNA silencing depends not only on the nature of amiRNAs but also on the local structures of the target mRNAs. However, the lack of tools to accurately and reliably predict secondary structures within long RNAs makes it very hard to predict the secondary structures of a viral genome RNA in the natural infection conditions in vivo. In this study, we used an experimental approach to dissect how the endogenous silencing machinery acts on the 3′ untranslated region (UTR) of the Cucumber mosaic virus (CMV) genome. Transiently expressed 3′UTR RNAs were degraded by site-specific cleavage. By comparing the natural cleavage hotspots within the 3′UTR of the CMV-infected wild-type Arabidopsis to those of the triple dcl2/3/4 mutant, we acquired true small RNA programmed RNA-induced silencing complex (siRISC)-mediated cleavage sites to design valid amiRNAs. We showed that the tRNA-like structure within the 3′UTR impeded target site access and restricted amiRNA-RISC-mediated cleavage of the target viral RNA. Moreover, target recognition in the less-structured area also influenced siRISC catalysis, thereby conferring different degrees of resistance to CMV infection. Transgenic plants expressing the designed amiRNAs that target the putative RISC accessible target sites conferred high resistance to the CMV challenge from both CMV subgroup strains. Our work suggests that the experimental approach is credible for studying the course of RISC target recognition to engineer effective gene silencing and virus resistance in plants by amiRNAs.     

NAR Breakthrough Article: FDF-PAGE: a powerful technique revealing previously undetected small RNAs sequestered by complementary transcripts

Small RNAs, between 18nt and 30nt in length, are a diverse class of non-coding RNAs that mediate a range of cellular processes, from gene regulation to pathogen defense. They guide ribonucleoprotein complexes to their target nucleic acids by Watson–Crick base pairing. We report here that current techniques for small RNA detection and library generation are biased by formation of RNA duplexes. To address this problem, we established FDF-PAGE (fully-denaturing formaldehyde polyacrylamide gel electrophoresis) to prevent annealing of sRNAs to their complement. By applying FDF-PAGE, we provide evidence that both strands of viral small RNA are present in near equimolar ratios, indicating that the predominant precursor is a long double-stranded RNA. Comparing non-denaturing conditions to FDF-PAGE uncovered extensive sequestration of miRNAs in model organisms and allowed us to identify candidate small RNAs under the control of competing endogenous RNAs (ceRNAs). By revealing the full repertoire of small RNAs, we can begin to create a better understanding of small RNA mediated interactions.     

Nuclease Activity of the Human SAMHD1 Protein Implicated in the Aicardi-Goutières Syndrome and HIV-1 Restriction

The human HD domain protein SAMHD1 is implicated in the Aicardi-Goutières autoimmune syndrome and in the restriction of HIV-1 replication in myeloid cells. Recently, this protein has been shown to possess dNTP triphosphatase activity, which is proposed to inhibit HIV-1 replication and the autoimmune response by hydrolyzing cellular dNTPs. Here, we show that the purified full-length human SAMHD1 protein also possesses metal-dependent 3′→5′ exonuclease activity against single-stranded DNAs and RNAs in vitro. In double-stranded substrates, this protein preferentially cleaved 3′-overhangs and RNA in blunt-ended DNA/RNA duplexes. Full-length SAMHD1 also exhibited strong DNA and RNA binding to substrates with complex secondary structures. Both nuclease and dNTP triphosphatase activities of SAMHD1 are associated with its HD domain, but the SAM domain is required for maximal activity and nucleic acid binding. The nuclease activity of SAMHD1 could represent an additional mechanism contributing to HIV-1 restriction and suppression of the autoimmune response through direct cleavage of viral and endogenous nucleic acids. In addition, we demonstrated the presence of dGTP triphosphohydrolase and nuclease activities in several microbial HD domain proteins, suggesting that these proteins might contribute to antiviral defense in prokaryotes.     

Conserved features of Y RNAs revealed by automated phylogenetic secondary structure analysis.

Y RNAs are small 'cytoplasmic' RNAs which are components of the Ro ribonucleoprotein (RNP) complex. The core of this complex, which is found in the cell nuclei of higher eukaryotes as well as the cytoplasm, is composed of a complex between the 60 kDa Ro protein and Y RNAs. Human cells contain four distinct Y RNAs (Y1, Y3, Y4 and Y5), while other eukaryotes contain a variable number of Y RNA homologues. When detected in a particular species, the Ro RNP has been present in every cell type within that particular organism. This characteristic, along with its high conservation among vertebrates, suggests an important function for Ro RNP in cellular metabolism; however, this function has not yet been definitively elucidated. In order to identify conserved features of Y RNA sequences and structures which may be directly involved in Ro RNP function, a phylogenetic comparative analysis of Y RNAs has been performed. Sequences of Y RNA homologues from five vertebrate species have been obtained and, together with previously published Y RNA sequences, used to predict Y RNA secondary structures. A novel RNA secondary structure comparison algorithm, the suboptimal RNA analysis program, has been developed and used in conjunction with available algorithms to find phylogenetically conserved secondary structure models for YI, Y3 and Y4 RNAs. Short, conserved sequences within the Y RNAs have been identified and are invariant among vertebrates, consistent with a direct role for Y RNAs in Ro function. A subset of these are located wholly or partially in looped regions in the Y3 and Y4 RNA predicted model structures, in accord with the possibility that these Y RNAs base pair with other cellular nucleic acids or are sites of interaction between the Ro RNP and other macromolecules.     

Fractionation with ethanol of nucleic acids from viroid-infected plants

A combination of high salt and low ethanol concentration allowed the fractionation of nucleic acids extracted from viroid-infected leaves. By adding 0.4-0.5 vol of ethanol to 1 vol of a solution in 2 M LiCl of nucleic acids (containing mainly DNA, 4S, 5S, 7S, and viroid RNAs), 85% of the DNA and 75% of the 4S RNA remained in solution, from where they could be recovered by increasing the ethanol concentration, whereas almost all 5S, 7S, and viroid RNAs precipitated. When this process was repeated three times a 95% elimination of the initial DNA and 4S RNA was achieved. The method can be of special interest in viroid purification considering that DNA and 4S RNA are the most abundant contaminants in the starting solution of nucleic acids. It is suggested that the highly ordered secondary structure of viroid RNA may be responsible for its particular behavior in the ethanol fractionation of nucleic acids.     

RNA interference-mediated simultaneous silencing of four genes using cross-shaped RNA

The structural flexibility of RNA interference (RNAi)-triggering nucleic acids suggests that the design of unconventional RNAi trigger structures with novel features is possible. Here, we report a cross-shaped RNA duplex structure, termed quadruple interfering RNA (qiRNA), with multiple target gene silencing activity. qiRNA triggers the simultaneous down-regulation of four cellular target genes via an RNAi mechanism. In addition, qiRNA shows enhanced intracellular delivery and target gene silencing over conventional siRNA when complexed with jetPEI, a linear polyethyleneimine (PEI). We also show that the long antisense strand of qiRNA is incorporated intact into an RNA-induced silencing complex (RISC). This novel RNA scaffold further expands the repertoire of RNAi-triggering molecular structures and could be used in the development of therapeutics for various diseases including viral infections and cancer.     

A universal TaqMan-based RT-PCR protocol for cost-efficient detection of small noncoding RNA

Several methods for the detection of RNA have been developed over time. For small RNA detection, a stem–loop reverse primer-based protocol relying on TaqMan RT-PCR has been described. This protocol requires an individual specific TaqMan probe for each target RNA and, hence, is highly cost-intensive for experiments with small sample sizes or large numbers of different samples. We describe a universal TaqMan-based probe protocol which can be used to detect any target sequence and demonstrate its applicability for the detection of endogenous as well as artificial eukaryotic and bacterial small RNAs. While the specific and the universal probe-based protocol showed the same sensitivity, the absolute sensitivity of detection was found to be more than 100-fold lower for both than previously reported. In subsequent experiments, we found previously unknown limitations intrinsic to the method affecting its feasibility in determination of mature template RISC incorporation as well as in multiplexing. Both protocols were equally specific in discriminating between correct and incorrect small RNA targets or between mature miRNA and its unprocessed RNA precursor, indicating the stem–loop RT-primer, but not the TaqMan probe, triggers target specificity. The presented universal TaqMan-based RT-PCR protocol represents a cost-efficient method for the detection of small RNAs.     

Using binding profiles to predict binding sites of target RNAs

Prediction of RNA-RNA interaction is a key to elucidating possible functions of small non-coding RNAs, and a number of computational methods have been proposed to analyze interacting RNA secondary structures. In this article, we focus on predicting binding sites of target RNAs that are expected to interact with regulatory antisense RNAs in a general form of interaction. For this purpose, we propose bistaRNA, a novel method for predicting multiple binding sites of target RNAs. bistaRNA employs binding profiles that represent scores for hybridized structures, leading to reducing the computational cost for interaction prediction. bistaRNA considers an ensemble of equilibrium interacting structures and seeks to maximize expected accuracy using dynamic programming. Experimental results on real interaction data validate good accuracy and fast computation time of bistaRNA as compared with several competitive methods. Moreover, we aim to find new targets given specific antisense RNAs, which provides interesting insights into antisense RNA regulation. bistaRNA is implemented in C++. The program and Supplementary Material are available at http://rna.naist.jp/program/bistarna/.