RNA Folding Research Articles

Rapid folding of nascent RNA regulates eukaryotic RNA biogenesis.

An RNA's catalytic, regulatory, or coding potential depends on RNA structure formation. Because base pairing occurs during transcription, early structural states can govern RNA processing events and dictate the formation of functional conformations. These co-transcriptional states remain unknown. Here, we develop CoSTseq, which detects nascent RNA base pairing within and upon exit from RNA polymerases (Pols) transcriptome-wide in living yeast cells. By monitoring each nucleotide's base pairing activity during transcription, we identify distinct classes of behaviors. While 47% of rRNA nucleotides remain unpaired, rapid and delayed base pairing - with rates of 48.5 and 13.2 kb -1 of transcribed rDNA, respectively - typically completes when Pol I is only 25 bp downstream. We show that helicases act immediately to remodel structures across the rDNA locus and facilitate ribosome biogenesis. In contrast, nascent pre-mRNAs attain local structures indistinguishable from mature mRNAs, suggesting that refolding behind elongating ribosomes resembles co-transcriptional folding behind Pol II.

Intrinsically disordered RNA-binding motifs cooperate to catalyze RNA folding and drive phase separation.

RNA-binding proteins are essential for gene regulation and the spatial organization of cells. Here, we report that the yeast ribosome biogenesis factor Loc1p is an intrinsically disordered RNA-binding protein with eight repeating positively charged, unstructured nucleic acid binding (PUN) motifs. While a single of these previously undefined motifs stabilizes folded RNAs, multiple copies strongly cooperate to catalyze RNA folding. In the presence of RNA, these multivalent PUN motifs drive phase separation. Proteome-wide searches in pro- and eukaryotes for proteins with similar arrays of PUN motifs reveal a strong enrichment in RNA-mediated processes and DNA remodeling. Thus, PUN motifs are potentially involved in a large variety of RNA- and DNA-related processes by concentrating them in membraneless organelles. The general function and wide distribution of PUN motifs across species suggest that in an ancient 'RNA world' PUN-like motifs may have supported the correct folding of early ribozymes.

Abstract A039: A sensitive tool for the detection of RNA modifications in blood samples

Abstract The epitranscriptome is the set of chemical modifications applied naturally to RNA to regulate seemingly all aspects of its function, including splicing, translation initiation and fidelity, trafficking, RNA folding and stability, and transcript lifetime. Detecting RNA in blood reliably continues to be a challenge due to its labile nature, and detecting RNA modifications is an even greater challenge. For this reason, current liquid biopsy approaches concentrate on determining the mutational burden in cell-free DNA and do not harness the potential of cfRNA. In contrast to cfDNA, cfRNA is a biomarker for dynamic events that are known to occur at early stages of carcinogenesis, such as alterations to transcriptional profiles and other aspects of the regulatory state of cells. In many RNA species, the modification state is linked to the RNA lifecycle, thus providing important insights into cell state. For example, pre-miRNA is modified before miRNA maturation, tRNA cleavage is initiated by changes to the modification pattern and mRNA is decapped for storage in stress granules. AlidaBio is introducing the EpiPlex platform, an assay platform with an integrated bioinformatics solution that is designed for ultra-low RNA input and has been tested with blood samples. In addition to its sensitivity, the EpiPlex platform has the advantage of detecting multiple RNA modifications in the same reaction, enabling users to elucidate how RNA modifications act in concert to fine-tune RNA function. The approach uses targeted, multiplexed barcoding to reveal co-localization of modifications on the same molecule and to provide semi-quantitative data on mod abundance. This sensitive, multiplexed target detection has the potential to advance the field of RNA liquid biopsy with new biomarker discovery. Citation Format: Andrew Price, Zachary Miles, Byron Purse, Gudrun Stengel. A sensitive tool for the detection of RNA modifications in blood samples [abstract]. In: Proceedings of the AACR Special Conference: Liquid Biopsy: From Discovery to Clinical Implementation; 2024 Nov 13-16; San Diego, CA. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(21_Suppl):Abstract nr A039.

NusG-dependent RNA polymerase pausing is a common feature of riboswitch regulatory mechanisms.

Transcription by RNA polymerase is punctuated by transient pausing events. Pausing provides time for RNA folding and binding of regulatory factors to the paused elongation complex. We previously identified 1600 NusG-dependent pauses throughout the Bacillus subtilis genome, with ∼20% localized to 5' leader regions, suggesting a regulatory role for these pauses. We examined pauses associated with known riboswitches to determine whether pausing is a common feature of these mechanisms. NusG-dependent pauses in the fmnP, tenA, mgtE, lysP and mtnK riboswitches were in strategic positions preceding the critical decision between the formation of alternative antiterminator or terminator structures, which is a critical feature of transcription attenuation mechanisms. In vitro transcription assays demonstrated that pausing increased the frequency of termination in the presence of the cognate ligand. NusG-dependent pausing also reduced the ligand concentration required for efficient termination. In vivo expression studies with transcriptional fusions confirmed that NusG-dependent pausing is a critical component of each riboswitch mechanism. Our results indicate that pausing enables cells to sense a broader range of ligand concentrations for fine-tuning riboswitch attenuation mechanisms.

Sequential structure probing of cotranscriptional RNA folding intermediates.

Cotranscriptional RNA folding pathways typically involve the sequential formation of folding intermediates. Existing methods for cotranscriptional RNA structure probing map the structure of nascent RNA in the context of a terminally arrested transcription elongation complex. Consequently, the rearrangement of RNA structures as nucleotides are added to the transcript can be inferred but is not assessed directly. To address this limitation, we have developed linked-multipoint Transcription Elongation Complex RNA structure probing (TECprobe-LM), which assesses the cotranscriptional rearrangement of RNA structures by sequentially positioning E. coli RNAP at two or more points within a DNA template so that nascent RNA can be chemically probed. We validated TECprobe-LM by measuring known folding events that occur within the E. coli signal recognition particle RNA, Clostridium beijerinckii pfl ZTP riboswitch, and Bacillus cereus crcB fluoride riboswitch folding pathways. Our findings establish TECprobe-LM as a strategy for detecting cotranscriptional RNA folding events directly using chemical probing.

Genome-Wide Identification of Stable RNA Secondary Structures Across Multiple Organisms Using Chemical Probing Data: Insights into Short Structural Motifs and RNA-Targeting Therapeutics.

Small molecules targeting specific RNA binding sites, including stable and transient RNA structures, are emerging as effective pharmacological approaches for modulating gene expression. However, little is understood about how stable RNA secondary structures are shared across organisms, an important factor in controlling drug selectivity. In this study, I provide an analytical pipeline named RNA Secondary Structure Finder (R2S-Finder) to discover short, stable RNA structural motifs for humans, Escherichia coli ( E. coli ), SARS-CoV-2, and Zika virus by leveraging existing in vivo and in vitro genome-wide chemical RNA-probing datasets. I found several common features across organisms. For example, apart from the well-documented tetraloops, AU-rich tetraloops are widely present in different organisms. I also found that the 5' untranslated region (UTR) contains a higher proportion of stable structures than the coding sequences in humans, SARS-CoV-2, and Zika virus. In general, stable structures predicted from in vitro (protein-free) and in vivo datasets are consistent in humans, E. coli , and SARS-CoV-2, indicating that most stable structure formation were driven by RNA folding alone, while a larger variation was found between in vitro and in vivo data with certain RNA types, such as human long intergenic non-coding RNAs (lincRNAs). Finally, I predicted stable three- and four-way RNA junctions that exist both in vivo and in vitro conditions, which can potentially serve as drug targets. All results of stable sequences, stem-loops, internal loops, bulges, and three- and four-way junctions have been collated in the R2S-Finder database ( https://github.com/JingxinWangLab/R2S-Finder ), which is coded in hyperlinked HTML pages and tabulated in CSV files.

A Deep Learning-Driven Sampling Technique to Explore the Phase Space of an RNA Stem-Loop.

The folding and unfolding of RNA stem-loops are critical biological processes; however, their computational studies are often hampered by the ruggedness of their folding landscape, necessitating long simulation times at the atomistic scale. Here, we adapted DeepDriveMD (DDMD), an advanced deep learning-driven sampling technique originally developed for protein folding, to address the challenges of RNA stem-loop folding. Although tempering- and order parameter-based techniques are commonly used for similar rare-event problems, the computational costs or the need for a priori knowledge about the system often present a challenge in their effective use. DDMD overcomes these challenges by adaptively learning from an ensemble of running MD simulations using generic contact maps as the raw input. DeepDriveMD enables on-the-fly learning of a low-dimensional latent representation and guides the simulation toward the undersampled regions while optimizing the resources to explore the relevant parts of the phase space. We showed that DDMD estimates the free energy landscape of the RNA stem-loop reasonably well at room temperature. Our simulation framework runs at a constant temperature without external biasing potential, hence preserving the information on transition rates, with a computational cost much lower than that of the simulations performed with external biasing potentials. We also introduced a reweighting strategy for obtaining unbiased free energy surfaces and presented a qualitative analysis of the latent space. This analysis showed that the latent space captures the relevant slow degrees of freedom for the RNA folding problem of interest. Finally, throughout the manuscript, we outlined how different parameters are selected and optimized to adapt DDMD for this system. We believe this compendium of decision-making processes will help new users adapt this technique for the rare-event sampling problems of their interest.

Exploring the energetic and conformational properties of the sequence space connecting naturally occurring RNA tetraloop receptor motifs.

Folded RNAs contain tertiary contact motifs whose structures and energetics are conserved across different RNAs. The transferable properties of RNA motifs simplify the RNA folding problem, but measuring energetic and conformational properties of many motifs remains a challenge. Here, we use a high-throughput thermodynamic approach to investigate how sequence changes alter the binding properties of naturally-occurring motifs, the GAAA tetraloop•tetraloop receptor (TLR) interactions. We measured the binding energies and conformational preferences of TLR sequences that span mutational pathways from the canonical 11ntR to two other natural TLRs, the IC3R and Vc2R. While the IC3R and Vc2R share highly similar energetic and conformational properties, the landscapes that map the sequence changes for their conversion from the 11ntR to changes in these properties differ dramatically. Differences in the energetic landscapes stem from the mutations needed to convert the 11ntR to the IC3R and Vc2R rather than a difference in the intrinsic energetic architectures of these TLRs. The conformational landscapes feature several non-native TLR variants with conformational preferences that differ from both the initial and final TLRs; these species represent potential branching points along the multidimensional sequence space to sequences with greater fitness in other RNA contexts with alternative conformational preferences. Our high-throughput, quantitative approach reveals the complex nature of sequence-fitness landscapes and leads to models for their molecular origins. Systematic and quantitative molecular approaches provide critical insights into understanding the evolution of natural RNAs as they traverse complex landscapes in response to selective pressures.

Memerna: Sparse RNA folding including coaxial stacking

Determining RNA secondary structure is a core problem in computational biology. Fast algorithms for predicting secondary structure are fundamental to this task. We describe a modified formulation of the Zuker-Stiegler algorithm with coaxial stacking, a stabilising interaction in which the ends of helices in multi-loops are stacked. In particular, optimal coaxial stacking is computed as part of the dynamic programming state, rather than in an inner loop. We introduce a new notion of sparsity, which we call replaceability. Replaceability is a more general condition and applicable in more places than the triangle inequality that is used by previous sparse folding methods. We also introduce non-monotonic candidate lists as an additional sparsification tool. Existing usages of the triangle inequality for sparsification can be thought of as an application of both replaceability and monotonicity together. The modified recurrences along with replaceability allows sparsification to be applied to coaxial stacking as well, which increases the speed of the algorithm. We implemented this algorithm in software we call memerna, which we show to have the fastest exact (non–heuristic) implementation of RNA folding under the complete Turner 2004 model with coaxial stacking, out of several popular RNA folding tools supporting coaxial stacking. We also introduce a new notation for secondary structure which includes coaxial stacking, terminal mismatches, and dangles (CTDs) information. The memerna package 0.1 release is available at https://github.com/Edgeworth/memerna/tree/release/0.1.

PRC2-RNA interactions: Viewpoint from YongWoo Lee and Jeannie T. Lee

Here, we expound on the view that Xist RNA directly controls Polycomb repressive complex 2 (PRC2) recruitment, off-loading to chromatin, catalytic activity, and eviction from chromatin. RNA-PRC2 interactions also control RNA polymerase II transcription pausing. Dynamic RNA folding determines PRC2 activity. Disparate studies and interpretations abound but can be reconciled.

Magnesium Regulates RNA Ring Dynamics and Folding in Subgenomic Flaviviral RNA.

Mosquito-borne flaviviruses including dengue, Zika, yellow fever, and regional encephalitis produce a large amount of short subgenomic flaviviral RNAs during infection. A segment of these RNAs named as xrRNA1 features a multi-pseudoknot (PK)-associated structure, which resists the host cell enzyme (XRN1) from degrading the viral RNA. We investigate how this long-range RNA PK folds in the presence of counterions, specifically in a mix of monovalent (K+) and divalent (Mg2+) salts at physiological concentrations. In this study, we use extensive explicit solvent molecular dynamics (MD) simulations to characterize the RNA ion environment of the folded RNA conformation, as determined by the crystal structure. This allowed us to identify the precise locations of various coordinated RNA-Mg2+ interactions, including inner-sphere/chelated and outer-sphere coordinated Mg2+. Given that RNA folding involves large-scale conformational changes, making it challenging to explore through classical MD simulations, we investigate the folding mechanism of xrRNA1 using an all-atom structure-based RNA model with a hybrid implicit-explicit treatment of the ion environment via the dynamic counterion condensation model, both with and without physiological Mg2+ concentration. The study reveals potential folding pathways for this xrRNA1, which is consistent with the results obtained from optical tweezer experiments. The equilibrium and free energy simulations both capture a dynamic equilibrium between the ring-open and ring-close states of the RNA, driven by a long-range PK interaction. Free energy calculations reveal that with the addition of Mg2+ ions, the equilibrium shifts more toward the ring-close state. A detailed analysis of the free energy pathways and ion-mediated contact probability map highlights the critical role of Mg2+ in bridging G50 and A33. This Mg2+-mediated connection helps form the long-range PK which in turn controls the transition between the ring-open and ring-close states. The study underscores the critical role of Mg2+ in the RNA folding transition, highlighting specific locations of Mg2+ contributing to the stabilization of long-range PK connections likely to enhance the robustness of Xrn1 resistance of flaviviral xrRNAs.

Opportunities for Riboswitch Inhibition by Targeting Co-Transcriptional RNA Folding Events

Antibiotic resistance is a critical global health concern, causing millions of prolonged bacterial infections every year and straining our healthcare systems. Novel antibiotic strategies are essential to combating this health crisis and bacterial non-coding RNAs are promising targets for new antibiotics. In particular, a class of bacterial non-coding RNAs called riboswitches has attracted significant interest as antibiotic targets. Riboswitches reside in the 5′-untranslated region of an mRNA transcript and tune gene expression levels in cis by binding to a small-molecule ligand. Riboswitches often control expression of essential genes for bacterial survival, making riboswitch inhibitors an exciting prospect for new antibacterials. Synthetic ligand mimics have predominated the search for new riboswitch inhibitors, which are designed based on static structures of a riboswitch’s ligand-sensing aptamer domain or identified by screening a small-molecule library. However, many small-molecule inhibitors that bind an isolated riboswitch aptamer domain with high affinity in vitro lack potency in vivo. Importantly, riboswitches fold and respond to the ligand during active transcription in vivo. This co-transcriptional folding is often not considered during inhibitor design, and may explain the discrepancy between a low Kd in vitro and poor inhibition in vivo. In this review, we cover advances in riboswitch co-transcriptional folding and illustrate how intermediate structures can be targeted by antisense oligonucleotides—an exciting new strategy for riboswitch inhibitor design.

N2-methylguanosine and N2, N2-dimethylguanosine in cytosolic and mitochondrial tRNAs

Decoration of cellular RNAs with modified RNA nucleosides is an important layer of gene expression regulation. Throughout the transcriptome, RNA modifications influence the folding, stability and function of RNAs as well as their interactions with RNA-binding proteins. Although first detected more than 50 years ago, the modified nucleosides N2-methylguanosine (m2G) and N2,N2-dimethylguanosine (m22G) have recently come to the fore through the identification and characterization of the human methyltransferases (MTases) responsible for their installation. In tRNAs, m2G and m22G are present at the junctions between the acceptor stem and the D-arm, and the D-arm and the anticodon stem loop. Here, we review the current knowledge on the effects of mono- and di-methylation of N2 of guanosine on base-pairing and provide an overview of m2(2)G sites in cytosolic and mitochondrial tRNAs. We highlight key features of m2G and m22G MTases, and describe how these enzymes specifically recognize their RNA substrates and target nucleosides. We also discuss the impact of these modifications on tRNA functions, their dynamic regulation and their implications in disease.

Telomerase RNA structural heterogeneity in living human cells detected by DMS-MaPseq.

Telomerase is a specialized reverse transcriptase that uses an intrinsic RNA subunit as the template for telomeric DNA synthesis. Biogenesis of human telomerase requires its RNA subunit (hTR) to fold into a multi-domain architecture that includes the template-containing pseudoknot (t/PK) and the three-way junction (CR4/5). These two hTR domains bind the telomerase reverse transcriptase (hTERT) protein and are thus essential for telomerase catalytic activity. Here, we probe the structure of hTR in living cells using dimethyl sulfate mutational profiling with sequencing (DMS-MaPseq) and ensemble deconvolution analysis. Unexpectedly, approximately 15% of the steady state population of hTR has a CR4/5 conformation lacking features thought to be required for hTERT binding. The proportion of hTR CR4/5 that is folded into the primary functional conformation does not require hTERT expression and the fraction of hTR that assumes a misfolded CR4/5 domain is not refolded by overexpression of its hTERT binding partner. This result suggests a functional role for an RNA folding cofactor other than hTERT during telomerase biogenesis. Mutagenesis demonstrates that stabilization of the alternative CR4/5 conformation is detrimental to telomerase assembly and activity. Moreover, the alternative CR4/5 conformation is not found in telomerase RNP complexes purified from cells via an epitope tag on hTERT, supporting the hypothesis that only the major CR4/5 conformer is active. We propose that this misfolded portion of the cellular hTR pool is either slowly refolded or degraded. Thus, kinetic traps for RNA folding that have been so well-studied in vitro may also present barriers for assembly of ribonucleoprotein complexes in vivo.

The effect of the loop on the thermodynamic and kinetic of single base pair in pseudoknot.

RNA pseudoknots are RNA molecules with specialized three-dimensional structures that play important roles in various biological processes. To understand the functions and mechanisms of pseudoknots, it is essential to elucidate their structures and folding pathways. The most fundamental step in RNA folding is the opening and closing of a base pair. The effect of flexible loops on the base pair in pseudoknots remains unclear. In this work, we use molecular dynamics simulations and Markov state model to study the configurations, thermodynamic and kinetic of single base pair in pseudoknots. We find that the presence of the loop leads to a trap state. In addition, the rate-limiting step for the formation of base pair is the disruption of the trap state, rather than the open state to the closed state, which is quite different from the previous studies on non-pseudoknot RNA. For the thermodynamic parameters in pseudoknots, we find that the entropy difference upon opening the base pair between this simulation and the nearest-neighbor model results from the different entropy of different lengths of loop in solution. The thermodynamic parameters of the stack in pseudoknot are close to the nearest-neighbor parameters. The bases on the loop have different distribution patterns in different states, and the slow transition states of the loop are determined by the orientation of the bases.

Stress-induced phosphoprotein 1 (STIP1) gene expression in adenomyosis: An observational case-control study

Background. Endometriosis is distinguished by its high prevalence and significant impact on the quality of life and reproductive health of women; however, its etiology and essential pathogenesis of remain uncertain so far. Modern research is increasingly focusing on immune, hormonal and genetic factors that share a common structure and participate in common metabolism — so-called single nucleotide polymorphisms (SNPs), including stress-induced phosphoprotein 1 (STIP1), which participates in tissue and cellular metabolism through transcription splicing and folding of RNA. The role of this protein, known as heat shock protein (HSP)-organizing protein, is being actively studied in cancer and hyperproliferative diseases. The role of the STIP1 gene and its product in the pathogenesis of adenomyosis appears to be studied insufficiently, thereby determining the relevance of the present study.Objectives. To evaluate the expression of stress-induced phosphoprotein 1 in eutopic endometrium and myometrium in women with isolated adenomyosis, as well as in combination with other benign hyperproliferative diseases of the reproductive system.Methods. Clinical study site: Clinical and Diagnostic Department of Ott Research Institute of Obstetrics, Gynecology and Reproductology. Design: an observational case-control study of patients with verified diagnoses of diffuse adenomyosis, uterine fibroids, and external genital endometriosis (main group — n = 55). The study group (n = 43) was divided into three subgroups: patients with isolated diffuse adenomyosis (AM, n = 16), adenomyosis in combination with uterine fibroids (AM + UF, n = 16), adenomyosis in combination with external genital endometriosis (AM + EGE, n = 11)), a comparison group — patients with uterine fibroids (n = 12) and a control group (n = 17) — women of reproductive age without gynecological diseases. The study was conducted from November 1, 2022 to September 30, 2023. The target indicator of the study was the level of relative mRNA (mRNA) expression of STIP1 gene (in RQ (Relative Quantity) units) in the uterus — adenomyosis glands, surrounding myometrium and endometrium. Histological evaluation of the endometrium served as an additional indicator. Statistical analysis of the results obtained, namely the relative level of mRNA expression, was carried out by the ΔΔСt method using the Expression Suit V1.0.3 program. (https://www.thermofisher.com/ru/ru/home/technical-resources/software-downloads/expressionsuite-software.html). The data analysis was performed using the GraphPad Prizm program (Insight Partners, USA). Differences between groups were evaluated by means of single factor ANOVA analysis (followed by post-hoc pairwise comparisons (Tukey test) of the values in each group. The differences were considered statistically significant at p < 0.05.Results. A high level of STIP1 gene expression was reported in myometrium of patients with isolated adenomyosis (more than 3-fold increase in relation to the comparison group — patients with uterine fibroids). In addition, myometrium of women with adenomyosis combined with uterine fibroids demonstrated a higher expression of STIP1 gene, compared to patients with isolated uterine fibroids (p < 0.01). The evaluation of the expression of mRNA of the STIP1 gene in the eutopic endometrium of patients with adenomyosis and women in the control group revealed no significant differences; however, STIP1 in the endometrium of women with adenomyosis was significantly lower than in the endometrium of both patients with uterine fibroids and women with adenomyosis combined with external genital endometriosis.Conclusion. Increased mRNA expression of STIP1 gene in myometrium in adenomyosis confirms its role in the pathogenesis of this disease. The role of the expression of the STIP1 gene and the corresponding protein is to be further clarified in order to assess its specificity and sensitivity as a diagnostic marker and to identify new approaches to the treatment of adenomyosis.

Universal cold RNA phase transitions

RNA's diversity of structures and functions impacts all life forms since primordia. We use calorimetric force spectroscopy to investigate RNA folding landscapes in previously unexplored low-temperature conditions. We find that Watson-Crick RNA hairpins, the most basic secondary structure elements, undergo a glass-like transition below [Formula: see text]C where the heat capacity abruptly changes and the RNA folds into a diversity of misfolded structures. We hypothesize that an altered RNA biochemistry, determined by sequence-independent ribose-water interactions, outweighs sequence-dependent base pairing. The ubiquitous ribose-water interactions lead to universal RNA phase transitions below TG, such as maximum stability at [Formula: see text]C where water density is maximum, and cold denaturation at [Formula: see text]C. RNA cold biochemistry may have a profound impact on RNA function and evolution.

Eine RNA‐Sequenz in zwei Faltungen: Ein Ribozym mit Vielseitigen Fähigkeiten zur Substratprozessierung

AbstractWir berichten über das Design einer RNA‐Sequenz, die zwei verschiedene Ribozym‐Faltungen annehmen und die Spaltung und/oder Ligation der jeweiligen Substrate katalysieren kann. Diese RNA ist in der Lage, ihre Konformation als Reaktion auf ihre Umgebung zu ändern, weshalb wir sie als Chamäleon‐Ribozym (CHR) bezeichnen. Die effiziente RNA‐Spaltung von zwei verschiedenen Substraten sowie die RNA‐Ligation durch CHR wurde in separaten Experimenten und in einer Ein‐Topf‐Reaktion nachgewiesen. Unsere Studie zeigt, dass sich Sequenzvarianten des Hairpin‐Ribozyms mit dem Hammerhead‐Ribozym überschneiden und dass relativ kurze RNA‐Moleküle eine große konformationelle Flexibilität aufweisen können, was ein wichtiges Kriterium für die Entstehung neuer funktioneller Faltungen in der frühen Evolution ist.

Two RNA Folds from One Sequence: A Ribozyme with Versatile Substrate Processing Abilities.

We report the design of a single RNA sequence capable of adopting one of two ribozyme folds and catalyzing the cleavage and/or ligation of the respective substrates. The RNA is able to change its conformation in response to its environment, hence it is called chameleon ribozyme (CHR). Efficient RNA cleavage of two different substrates as well as RNA ligation by CHR is demonstrated in separate experiments and in a one pot reaction. Our study shows that sequence variants of the hairpin ribozyme intersect with the hammerhead ribozyme and that rather short RNA molecules can have comprehensive conformational flexibility, which is an important feature for the emergence of new functional folds in early evolution.

Eukaryotic Ribosome Assembly.

During the last ten years, developments in cryo-electron microscopy have transformed our understanding of eukaryotic ribosome assembly. As a result, the field has advanced from a list of the vast array of ribosome assembly factors toward an emerging molecular movie in which individual frames are represented by structures of stable ribosome assembly intermediates with complementary biochemical and genetic data. In this review, we discuss the mechanisms driving the assembly of yeast and human small and large ribosomal subunits. A particular emphasis is placed on the most recent findings that illustrate key concepts of ribosome assembly, such as folding of preribosomal RNA, the enforced chronology of assembly, enzyme-mediated irreversible transitions, and proofreading of preribosomal particles.