Cycling of the Sm-like protein Hfq on the DsrA small regulatory RNA

Small RNAs (sRNAs) regulate bacterial genes involved in environmental adaptation. This RNA regulation requires Hfq, a bacterial Sm-like protein that stabilizes sRNAs and enhances RNA-RNA interactions. To understand the mechanism of target recognition by sRNAs, we investigated the interactions between Hfq, the sRNA DsrA, and its regulatory target rpoS mRNA, which encodes the stress response sigma factor. Nuclease footprinting revealed that Hfq recognized multiple sites in rpoS mRNA without significantly perturbing secondary structure in the 5' leader that inhibits translation initiation. Base-pairing with DsrA, however, made the rpoS ribosome binding site fully accessible, as predicted by genetic data. Hfq bound DsrA four times more tightly than the DsrA.rpoS RNA complex in gel mobility-shift assays. Consequently, Hfq is displaced rapidly from its high-affinity binding site on DsrA by conformational changes in DsrA, when DsrA base-pairs with rpoS mRNA. Hfq accelerated DsrA.rpoS RNA association and stabilized the RNA complex up to twofold. Hybridization of DsrA and rpoS mRNA was optimal when Hfq occupied its primary binding site on free DsrA, but was inhibited when Hfq associated with the DsrA.rpoS RNA complex. We conclude that recognition of rpoS mRNA is stimulated by binding of Hfq to free DsrA sRNA, followed by release of Hfq from the sRNA.mRNA complex.     

Thermodynamic basis of selectivity in guide-target-mismatched RNA interference

Silencing in RNAi is strongly affected by guide‐strand/target‐mRNA mismatches. Target nucleation is thought to occur at positions 2–8 of the guide (“seed region”); successful hybridization in this region is the primary determinant of target‐binding affinity and hence target cleavage. To define a molecular basis for the target sequence selectivity in RNAi, we studied all possible distinct single mismatches in seven positions of the seed region—a total of 21 substitutions. We report results from soft‐core thermodynamic integration simulations to determine changes in targeting binding‐free energies to Argonaute due to single mismatches in the guide strand, which arise during binding of an imperfectly matched target mRNA. In agreement with experiment, most mismatches impair target binding, consistent with a prominent role for binding affinity changes in RNAi sequence selectivity. Individual Argonaute residues located near the mismatched base pair are found to contribute significantly to binding affinity changes. We also use this methodology to analyze the mismatch‐dependent free energy changes for dissociation of a DNA?RNA hybrid from Argonaute, as a model for the escape of miRNAs from the silencing pathway. Several mismatched sequences of the miRNA have increased affinity to Argonaute, implying that some mismatches may reduce the probability for escape. Furthermore, calculations of base‐substitution‐dependent free energy changes for binding ssDNA reveal mild sequence sensitivity as expected for guide strand binding to Argonaute. Our findings give a thermodynamic basis for RNAi target sequence selectivity and suggest that miRNA mismatches may increase silencing effectiveness and thus could be evolutionarily advantageous. Proteins 2012; © 2011 Wiley Periodicals, Inc.     

Calculation of site affinity constants and cooperativity coefficients for binding of ligands and/or protons to macromolecules. I. Generation of partition functions and mass balance equations

The thermodynamics of binding of a ligand A and/or proton H to a macromolecule M is treated by the partition function method. In complex systems, the representation of the equilibria by means of cumulative constants beta PQR used as coefficients in partition functions ZM, ZA, and ZH is ill-suited to least-squares refinement procedures because the cumulative constants are interrelated by common cooperativity functions gamma j(i) and common site affinity constants kappa j. There is therefore the need to express ZM, ZA, ZH as functions of site constants kappa j and cooperativity coefficients bj. This is done by developing an algebra of partition functions based on the following concepts: (i) factorability of partition functions; (ii) binary generating function Jj = (1 + kappa j[Y])i tau for each class j of sites, represented by column (Jj) and row (Jj) vectors; (iii) cooperativity between sites of one class described by functions gamma j(i), represented by diagonal matrices gamma j; (iv) probability of finding microspecies represented by elements of tensor product matrix Ll = (J1)[J2]; (v) statistical factors mij obtained from Newton polynomials, Jj; (vi) power operators Oi', O(i-l)', and O(i tau-l)', transforming vectors Jj; and (vii) operators Oi or O(i-l) indicating tensor products of i or (i-l) vectors Jj. Vectors Jj combined in tensors Ll give rise to both an affinity/cooperativity space and a parallel index space. The partition functions ZM, ZA, and ZH and the total amounts TM, TA, and TH can be obtained as an appropriate sum of elements of matrices Ll, each of which is represented in an index space by a combination p1, p2,...q1, q2,...r1, r2,... of indices ij. From these indices the contribution of that element to partition function ZM, ZA, or ZH and to total amount TM, TA, or TH is calculated in the affinity/cooperativity space as product of factors: [i tau !/i !(i tau-i)!]kappa ij(exp[bj (i-1)i])[X]i, i being any index p, q, r and X any component M, A, or H. Future applications of this algorithm to practical problems of macromolecule-ligand-proton equilibria are outlined.     

Determinants of apical loop-internal loop RNA-RNA interactions involving the HCV IRES

Domain II of the hepatitis C virus internal ribosome entry site is a major RNA structure involved in the viral mRNA translation. It comprises four different structural domains. We performed in vitro selection against the apical loop of the domain II and we identified RNA aptamers folding as an imperfect hairpin with an internal loop of interacting with the apical loop of the domain II. This RNA-RNA interaction creates apical loop-internal loop complex. The aptamer binds the target with an apparent K(d) of 35nM. In this study, the main structural elements of the target and the aptamer involved in the formation of the complex are characterized by mutation, deletion, and RNase probing analysis. We demonstrate that a complementary loop flanked by G,C rich upper and lower stems are crucial for such RNA-RNA interactions.     

Spectroscopic observation of RNA chaperone activities of Hfq in post-transcriptional regulation by a small non-coding RNA

Hfq protein is vital for the function of many non-coding small (s)RNAs in bacteria but the mechanism by which Hfq facilitates the function of sRNA is still debated. We developed a fluorescence resonance energy transfer assay to probe how Hfq modulates the interaction between a sRNA, DsrA, and its regulatory target mRNA, rpoS. The relevant RNA fragments were labelled so that changes in intra- and intermolecular RNA structures can be monitored in real time. Our data show that Hfq promotes the strand exchange reaction in which the internal structure of rpoS is replaced by pairing with DsrA such that the Shine-Dalgarno sequence of the mRNA becomes exposed. Hfq appears to carry out strand exchange by inducing rapid association of DsrA and a premelted rpoS and by aiding in the slow disruption of the rpoS secondary structure. Unexpectedly, Hfq also disrupts a preformed complex between rpoS and DsrA. While it may not be a frequent event in vivo, this melting activity may have implications in the reversal of sRNA-based regulation. Overall, our data suggests that Hfq not only promotes strand exchange by binding rapidly to both DsrA and rpoS but also possesses RNA chaperoning properties that facilitates dynamic RNA-RNA interactions.     

eIF3j is located in the decoding center of the human 40S ribosomal subunit

Protein synthesis in all cells begins with the ordered binding of the small ribosomal subunit to messenger RNA (mRNA) and transfer RNA (tRNA). In eukaryotes, translation initiation factor 3 (eIF3) is thought to play an essential role in this process by influencing mRNA and tRNA binding through indirect interactions on the backside of the 40S subunit. Here we show by directed hydroxyl radical probing that the human eIF3 subunit eIF3j binds to the aminoacyl (A) site and mRNA entry channel of the 40S subunit, placing eIF3j directly in the ribosomal decoding center. eIF3j also interacts with eIF1A and reduces 40S subunit affinity for mRNA. A high affinity for mRNA is restored upon recruitment of initiator tRNA, even though eIF3j remains in the mRNA-binding cleft in the presence of tRNA. These results suggest that eIF3j functions in part by regulating access of the mRNA-binding cleft in response to initiation factor binding.     

The U1 snRNP base pairs with the 5' splice site within a penta-snRNP complex

Recognition of the 5' splice site is an important step in mRNA splicing. To examine whether U1 approaches the 5' splice site as a solitary snRNP or as part of a multi-snRNP complex, we used a simplified in vitro system in which a short RNA containing the 5' splice site sequence served as a substrate in a binding reaction. This system allowed us to study the interactions of the snRNPs with the 5' splice site without the effect of other cis-regulatory elements of precursor mRNA. We found that in HeLa cell nuclear extracts, five spliceosomal snRNPs form a complex that specifically binds the 5' splice site through base pairing with the 5' end of U1. This system can accommodate RNA-RNA rearrangements in which U5 replaces U1 binding to the 5' splice site, a process that occurs naturally during the splicing reaction. The complex in which U1 and the 5' splice site are base paired sediments in the 200S fraction of a glycerol gradient together with all five spliceosomal snRNPs. This fraction is functional in mRNA spliceosome assembly when supplemented with soluble nuclear proteins. The results argue that U1 can bind the 5' splice site in a mammalian preassembled penta-snRNP complex.     

Copy number control of IncIalpha plasmid ColIb-P9 by competition between pseudoknot formation and antisense RNA binding at a specific RNA site.

Replication of a low-copy-number IncIalpha plasmid ColIb-P9 depends on expression of the repZ gene encoding the replication initiator protein. repZ expression is negatively controlled by the small antisense Inc RNA, and requires formation of a pseudoknot in the RepZ mRNA consisting of stem-loop I, the Inc RNA target, and a downstream sequence complementary to the loop I. The loop I sequence comprises 5'-rUUGGCG-3', conserved in many prokaryotic antisense systems, and was proposed to be the important site of copy number control. Here we show that the level of repZ expression is rate-limiting for replication and thus copy number, by comparing the levels of repZ expression and copy number from different mutant ColIb-P9 derivatives defective in Inc RNA and pseudoknot formation. Kinetic analyses using in vitro transcribed RNAs indicate that Inc RNA binding and the pseudoknot formation are competitive at the level of initial base paring to loop I. This initial interaction is stimulated by the presence of the loop U residue in the 5'-rUUGGCG-3' motif. These results indicate that the competition between the two RNA-RNA interactions at the specific site is a novel regulatory mechanism for establishing the constant level of repZ expression and thus copy number.     

Selection of the 3′-splice site in group I introns

A model for selection of 3′-splice sites in splicing of RNA precursors containing group I introns is presented. The key feature of this model is a newly identified tertiary interaction between the catalytic core of the intron and the 3′-splice site. This tertiary pairing would bring the 3′-splice site into the core of the intron, which is known to contain RNA sequences and structures essential for catalyzing the splicing reactions. The proposed tertiary interaction can coexist with P10, a pairing between 3′-exon sequences and the ‘internal guide sequence’ near the 5′-end of the intron. The model predicts that three RNA-RNA interactions are important in selection of 3′-splice sites: (i) binding of intron sequences with the core; (ii) pairing of exon sequences with the internal guide sequence; and (iii) binding of the terminal guanosine to an unknown site within the core.     

The Sm-like Hfq protein increases OxyS RNA interaction with target mRNAs.

The Escherichia coli host factor I, Hfq, binds to many small regulatory RNAs and is required for OxyS RNA repression of fhlA and rpoS mRNA translation. Here we report that Hfq is a bacterial homolog of the Sm and Sm-like proteins integral to RNA processing and mRNA degradation complexes in eukaryotic cells. Hfq exhibits the hallmark features of Sm and Sm-like proteins: the Sm1 sequence motif, a multisubunit ring structure (in this case a homomeric hexamer), and preferential binding to polyU. We also show that Hfq increases the OxyS RNA interaction with its target messages and propose that the enhancement of RNA-RNA pairing may be a general function of Hfq, Sm, and Sm-like proteins.     

RNA interference in human cells is restricted to the cytoplasm

RNA interference (RNAi) is an evolutionarily conserved eukaryotic adaptive response that leads to the specific degradation of target mRNA species in response to cellular exposure to homologous double-stranded RNA molecules. Here, we have analyzed the subcellular location at which RNA degradation occurs in human cells exposed to double-stranded short interfering RNAs. To unequivocally determine whether a given mRNA is subject to degradation in the cytoplasm, the nucleus, or both, we have used the retroviral Rev/RRE system to control whether target mRNAs remain sequestered in the nucleus or are exported to the cytoplasm. In the absence of export, we found that the nuclear level of the RRE-containing target mRNA was not affected by activation of RNAi. In contrast, when nuclear export was induced by expression of Rev, cytoplasmic target mRNAs were effectively and specifically degraded by RNAi. Curiously, when the target mRNA molecule was undergoing active export from the nucleus, induction of RNAi also resulted in a reproducible approximately twofold drop in the level of target mRNA present In the nuclear RNA fraction. As this same mRNA was entirely resistant to RNAi when sequestered in the nucleus, this result suggests that RNAi is able to induce degradation of target mRNAs not only in the cytoplasm but also during the process of nuclear mRNA export. Truly nucleoplasmic mRNAs or pre-mRNAs are, in contrast, resistant to RNAi.     

Predicting siRNA activity based on back-propagation neural network

RNA interference (RNAi) is a phenomenon of gene silence induced by a double-stranded RNA (dsRNA) homologous to a target gene. RNAi can be used to identify the function of genes or to knock down the targeted genes. In RNAi technology, 19 bp double-stranded short interfering RNAs (siRNA) with characteristic 39 overhangs are usually used. The effects of siRNAs are quite varied due to the different choices in the sites of target mRNA. Moreover, there are many factors influencing siRNA activity and these factors are usually nonlinear. To find the motif features and the effect on siRNA activity, we carried out a feature extraction on some published experimental data and used these features to train a back-propagation neural network (BP NN). Then, we used the trained BP NN to predict siRNA activity. __________ Translated from Acta Biophysica Sinica, 2006, 22(6): 429–434 [译自: 生物物理学报]     

Local RNA target structure influences siRNA efficacy: systematic analysis of intentionally designed binding regions

Contradictory reports in the literature have emphasised either the sequence of small interfering RNAs (siRNA) or the structure of their target molecules to be the major determinant of the efficiency of RNA interference (RNAi) approaches. In the present study, we analyse systematically the contributions of these parameters to siRNA activity by using deliberately designed mRNA constructs. The siRNA target sites were included in well-defined structural elements rendering them either highly accessible or completely involved in stable base-pairing. Furthermore, complementary sequence elements and various hairpins with different stem lengths and designs were used as target sites. Only one of the strands of the siRNA duplex was found to be capable of silencing via its respective target site, indicating that thermodynamic characteristics intrinsic to the siRNA strands are a basic determinant of siRNA activity. A significant obstruction of gene silencing by the same siRNA, however, was observed to be caused by structural features of the substrate RNA. Bioinformatic analysis of the mRNA structures suggests a direct correlation between the extent of gene-knockdown and the local free energy in the target region. Our findings indicate that, although a favourable siRNA sequence is a necessary prerequisite for efficient RNAi, complex target structures may limit the applicability even of carefully chosen siRNAs.     

Argonaute蛋白与小RNA的作用机制

RNA干扰(RNA interference, RNAi)是在植物、动物、线虫、真菌以及昆虫等生物体中普遍存在的通过双链RNA(double strand RNA, dsRNA)诱导的抑制同源基因表达的一种保守的调控机制.小分子RNA通过特异性地识别结合RNA诱导的沉默复合体（RNA-induced silencing complex, RISC）对目标mRNA的表达在转录和翻译水平进行抑制.作为RISC的重要组成成分,Argonaute蛋白（Ago）发挥了至关重要的作用.为了进一步阐明Ago蛋白在RNA干扰中对小分子RNA的作用机制,本文介绍了Ago蛋白的结构、分类及其在RNA干扰机制中的作用,并着重阐述了目前已知的植物Ago蛋白对小分子RNA的几种作用机制,以及目前研究发现的Ago蛋白的功能作用,从而更进一步证实Ago蛋白对小分子RNA的作用是一个复杂的过程.     

Interaction of tetracycline with RNA: photoincorporation into ribosomal RNA of Escherichia coli.

Photolysis of [3H]tetracycline in the presence of Escherichia coli ribosomes results in an approximately 1:1 ratio of labelling ribosomal proteins and RNAs. In this work we characterize crosslinks to both 16S and 23S RNAs. Previously, the main target of photoincorporation of [3H]tetracycline into ribosomal proteins was shown to be S7, which is also part of the one strong binding site of tetracycline on the 30S subunit. The crosslinks on 23S RNA map exclusively to the central loop of domain V (G2505, G2576 and G2608) which is part of the peptidyl transferase region. However, experiments performed with chimeric ribosomal subunits demonstrate that peptidyltransferase activity is not affected by tetracycline crosslinked solely to the 50S subunits. Three different positions are labelled on the 16S RNA, G693, G1300 and G1338. The positions of these crosslinked nucleotides correlate well with footprints on the 16S RNA produced either by tRNA or the protein S7. This suggests that the nucleotides are labelled by tetracycline bound to the strong binding site on the 30S subunit. In addition, our results demonstrate that the well known inhibition of tRNA binding to the A-site is solely due to tetracycline crosslinked to 30S subunits and furthermore suggest that interactions of the antibiotic with 16S RNA might be involved in its mode of action.