Molecular insights into the interaction between a disordered protein and a folded RNA.

Intrinsically disordered protein regions (IDRs) are well-established as contributors to intermolecular interactions and the formation of biomolecular condensates. In particular, RNA-binding proteins (RBPs) often harbor IDRs in addition to folded RNA-binding domains that contribute to RBP function. To understand the dynamic interactions of an IDR-RNA complex, we characterized the RNA-binding features of a small (68 residues), positively charged IDR-containing protein, SERF. At high concentrations, SERF and RNA undergo charge-driven associative phase separation to form a protein- and RNA-rich dense phase. A key advantage of this model system is that this threshold for demixing is sufficiently high that we could use solution-state biophysical methods to interrogate the stoichiometric complexes of SERF with RNA in the one-phase regime. Herein, we describe our comprehensive characterization of SERF alone and in complex with a small fragment of the HIV-1 TAR RNA (TAR) with complementary biophysical methods and molecular simulations. We find that this binding event is not accompanied by the acquisition of structure by either molecule; however, we see evidence for a modest global compaction of the SERF ensemble when bound to RNA. This behavior likely reflects attenuated charge repulsion within SERF via binding to the polyanionic RNA and provides a rationale for the higher-order assembly of SERF in the context of RNA. We envision that the SERF-RNA system will lower the barrier to accessing the details that support IDR-RNA interactions and likewise deepen our understanding of the role of IDR-RNA contacts in complex formation and liquid-liquid phase separation.

Structural and functional insights into tRNA recognition by human tRNA guanine transglycosylase.

Eukaryotic tRNA guanine transglycosylase (TGT) is an RNA-modifying enzyme which catalyzes the base exchange of the genetically encoded guanine 34 of tRNAsAsp,Asn,His,Tyr for queuine, a hypermodified 7-deazaguanine derivative. Eukaryotic TGT is a heterodimer comprised of a catalytic and a non-catalytic subunit. While binding of the tRNA anticodon loop to the active site is structurally well understood, the contribution of the non-catalytic subunit to tRNA binding remained enigmatic, as no complex structure with a complete tRNA was available. Here, we report a cryo-EM structure of eukaryotic TGT in complex with a complete tRNA, revealing the crucial role of the non-catalytic subunit in tRNA binding. We decipher the functional significance of these additional tRNA-binding sites, analyze solution state conformation, flexibility, and disorder of apo TGT, and examine conformational transitions upon tRNA binding.

Large-scale Purification of Type III Toxin-antitoxin Ribonucleoprotein Complex and its Components from Escherichia coli for Biophysical Studies.

Toxin-antitoxin (TA) systems are widespread bacterial immune systems that confer protection against various environmental stresses. TA systems have been classified into eight types (I-VIII) based on the nature and mechanism of action of the antitoxin. Type III TA systems consist of a noncoding RNA antitoxin and a protein toxin, forming a ribonucleoprotein (RNP) TA complex that plays crucial roles in phage defence in bacteria. Type III TA systems are present in the human gut microbiome and several pathogenic bacteria and, therefore, could be exploited for a novel antibacterial strategy. Due to the inherent toxicity of the toxin for E. coli, it is challenging to overexpress and purify free toxins from E. coli expression systems. Therefore, protein toxin is typically co-expressed and co-purified with antitoxin RNA as an RNP complex from E. coli for structural and biophysical studies. Here, we have optimized the co-expression and purification method for ToxIN type III TA complexes from E. coli that results in the purification of TA RNP complex and, often, free antitoxin RNA and free active toxin in quantities required for the biophysical and structural studies. This protocol can also be adapted to purify isotopically labelled (e.g., uniformly 15N- or 13C-labelled) free toxin proteins, free antitoxin RNAs, and TA RNPs, which can be studied using multidimensional nuclear magnetic resonance (NMR) spectroscopy methods. Key features Detailed protocol for the large-scale purification of ToxIN type III toxin-antitoxin complexes from E. coli. The optimized protocol results in obtaining milligrams of TA RNP complex, free toxin, and free antitoxin RNA. Commercially available plasmid vectors and chemicals are used to complete the protocol in five days after obtaining the required DNA clones. The purified TA complex, toxin protein, and antitoxin RNA are used for biophysical experiments such as NMR, ITC, and X-ray crystallography.

Rfoot-seq: Transcriptomic RNase Footprinting for Mapping Stable RNA-Protein Complexes and Rapid Ribosome Profiling.

Ribosome profiling isolates ribosome-protected fragments for sequencing and is a valuable method for studying different aspects of RNA translation. However, conventional protocols require millions of input cells and time-consuming steps to isolate translating ribosome complexes using ultracentrifugation or immunoprecipitation. These limitations have prevented their application to rare physiological samples. To address these technical barriers, we developed an RNase footprinting approach named Rfoot-seq to map stable transcriptomic RNA-protein complexes that allows rapid ribosome profiling using low-input samples (Li, Yang, Stroup, Wang, & Ji, 2022). In this assay, we treat a cell lysate with concentrated RNase without complex crosslinking and retained only RNA footprints associated with stable complexes for sequencing. The footprints in coding regions represent ribosome-protected fragments and can be used to study cytosolic and mitochondrial translation simultaneously. Rfoot-seq achieves comparable results to conventional ribosome profiling to quantify ribosome occupancy and works robustly for various cultured cells and primary tissue samples. Moreover, Rfoot-seq maps RNA fragments associated with stable non-ribosomal RNA-protein complexes in noncoding domains of small noncoding RNAs and some long noncoding RNAs. Taken together, Rfoot-seq opens an avenue to quantify transcriptomic translation and characterize functional noncoding RNA domains using low-input samples. © 2023 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Harvesting and lysing adherent cells Alternate Protocol 1: Harvesting and lysing suspension cells Alternate Protocol 2: Harvesting and lysing primary tissue samples Basic Protocol 2: RNase treatment and footprint purification for low-input samples Alternate Protocol 3: RNase treatment and footprint purification for ultra-low-input samples Basic Protocol 3: Library preparation for high-throughput sequencing Support Protocol: Preparation of dsDNA markers for library size selection Basic Protocol 4: Data analysis and quality control after sequencing.

Utilizing functional cell-free extracts to dissect ribonucleoprotein complex biology at single-molecule resolution.

Cellular machineries that drive and regulate gene expression often rely on the coordinated assembly and interaction of a multitude of proteins and RNA together called ribonucleoprotein complexes (RNPs). As such, it is challenging to fully reconstitute these cellular machines recombinantly and gain mechanistic understanding of how they operate and are regulated within the complex environment that is the cell. One strategy for overcoming this challenge is to perform single molecule fluorescence microscopy studies within crude or recombinantly supplemented cell extracts. This strategy enables elucidation of the interaction and kinetic behavior of specific fluorescently labeled biomolecules within RNPs under conditions that approximate native cellular environments. In this review, we describe single molecule fluorescence microcopy approaches that dissect RNP-driven processes within cellular extracts, highlighting general strategies used in these methods. We further survey biological advances in the areas of pre-mRNA splicing and transcription regulation that have been facilitated through this approach. Finally, we conclude with a summary of practical considerations for the implementation of the featured approaches to facilitate their broader future implementation in dissecting the mechanisms of RNP-driven cellular processes. This article is categorized under: RNA Structure and Dynamics > RNA Structure, Dynamics and Chemistry RNA Interactions with Proteins and Other Molecules > RNA-Protein Complexes RNA Structure and Dynamics > Influence of RNA Structure in Biological Systems.

Neuronal stress granules as dynamic microcompartments: current concepts and open questions.

Stress granules are cytosolic, membraneless RNA-protein complexes that form in the cytosol in response to various stressors. Stress granules form through a process termed liquid-liquid phase separation, which increases the local concentration of RNA and protein within the granules, creates dynamic sorting stations for mRNAs and associated proteins, and modulates the availability of mRNA for protein translation. We introduce the concept that neuronal stress granules act as dynamic cytosolic microcompartments in which their components differentially cycle in and out, monitoring the cellular environment. We discuss that neuronal stress granules have distinctive features and contain substructures in which individual components interact transiently. We describe that neuronal stress granules modulate protein expression at multiple levels and affect the proteoform profile of the cytoskeletal protein tau. We argue that a better knowledge of the regulation of stress granule dynamics in neurons and the modulation of their material state is necessary to understand their function during physiological and pathological stress responses. Finally, we delineate approaches to determine the behavior and regulation of critical stress granule organizers and the physical state of stress granules in living neurons.

Computational tools to study RNA-protein complexes.

RNA is the key player in many cellular processes such as signal transduction, replication, transport, cell division, transcription, and translation. These diverse functions are accomplished through interactions of RNA with proteins. However, protein-RNA interactions are still poorly derstood in contrast to protein-protein and protein-DNA interactions. This knowledge gap can be attributed to the limited availability of protein-RNA structures along with the experimental difficulties in studying these complexes. Recent progress in computational resources has expanded the number of tools available for studying protein-RNA interactions at various molecular levels. These include tools for predicting interacting residues from primary sequences, modelling of protein-RNA complexes, predicting hotspots in these complexes and insights into derstanding in the dynamics of their interactions. Each of these tools has its strengths and limitations, which makes it significant to select an optimal approach for the question of interest. Here we present a mini review of computational tools to study different aspects of protein-RNA interactions, with focus on overall application, development of the field and the future perspectives.

Methylation guide RNAs without box C/D motifs.

Box C/D RNAs guide site-specific 2'-O-methylation of RNAs in archaea and eukaryotes. The defining feature of methylation guide RNAs is two sets of box C and D motifs that form kink-turn structures specifically recognized by L7Ae family proteins. Here, we engineered a new type of methylation guide that lacks C/D motifs and requires no L7Ae for assembly and function. We determined a crystal structure of a bipartite C/D-free guide RNA in complex with Nop5, fibrillarin and substrate in the active form at 2.2 Å resolution. The stems of new guide RNAs functionally replace C/D motifs in Nop5 binding, precisely placing the substrate for site-specific modification. We also found that the bipartite architecture and association of L7Ae with C/D motifs enhance modification when association of guide RNAs or substrates is weak. Our study provides insights into the variations, robustness and possible evolutionary path of methylation guide RNAs.

Methods to assess helicase and translocation activities of human nuclear RNA exosome and RNA adaptor complexes.

The nuclear RNA exosome collaborates with the MTR4 helicase and RNA adaptor complexes to process, surveil, and degrade RNA. Here we outline methods to characterize RNA translocation and strand displacement by exosome-associated helicases and adaptor complexes using fluorescence-based strand displacement assays. The design and preparation of substrates suitable for analysis of helicase and decay activities of reconstituted MTR4-exosome complexes are described. To aid structural and biophysical studies, we present strategies for engineering substrates that can stall helicases during translocation, providing a means to capture snapshots of interactions and molecular steps involved in substrate translocation and delivery to the exosome.

Structural basis for RNA surveillance by the human nuclear exosome targeting (NEXT) complex.

RNA quality control relies on co-factors and adaptors to identify and prepare substrates for degradation by ribonucleases such as the 3' to 5' ribonucleolytic RNA exosome. Here, we determined cryogenic electron microscopy structures of human nuclear exosome targeting (NEXT) complexes bound to RNA that reveal mechanistic insights to substrate recognition and early steps that precede RNA handover to the exosome. The structures illuminate ZCCHC8 as a scaffold, mediating homodimerization while embracing the MTR4 helicase and flexibly anchoring RBM7 to the helicase core. All three subunits collaborate to bind the RNA, with RBM7 and ZCCHC8 surveying sequences upstream of the 3' end to facilitate RNA capture by MTR4. ZCCHC8 obscures MTR4 surfaces important for RNA binding and extrusion as well as MPP6-dependent recruitment and docking onto the RNA exosome core, interactions that contribute to RNA surveillance by coordinating RNA capture, translocation, and extrusion from the helicase to the exosome for decay.

Identification of RNA Base Pairs and Complete Assignment of Nucleobase Resonances by Proton-Detected Solid-State NMR Spectroscopy at 100†kHz MAS.

Knowledge of RNA structure, either in isolation or in complex, is fundamental to understand the mechanism of cellular processes. Solid-state NMR (ssNMR) is applicable to high molecular-weight complexes and does not require crystallization; thus, it is well-suited to study RNA as part of large multicomponent assemblies. Recently, we solved the first structures of both RNA and an RNA-protein complex by ssNMR using conventional 13 C- and 15 N-detection. This approach is limited by the severe overlap of the RNA peaks together with the low sensitivity of multidimensional experiments. Here, we overcome the limitations in sensitivity and resolution by using 1 H-detection at fast MAS rates. We develop experiments that allow the identification of complete nucleobase spin-systems together with their site-specific base pair pattern using sub-milligram quantities of one uniformly labelled RNA sample. These experiments provide rapid access to RNA secondary structure by ssNMR in protein-RNA complexes of any size.

Genome-Wide Analysis of RNA-Protein Interactions in Plasmodium falciparum Using eCLIP-Seq.

Over the last decades, identification of RNA-proteins complexes and their binding sites was challenging. Recently, techniques based on crosslinking, immunoprecipitation, and high-throughput sequencing have been developed. An optimized method, called eCLIP-seq, enables to identify precisely the targeted RNAs as well as the transcriptome-wide binding sites at nucleotide resolution. Here we describe the eCLIP-seq protocol in asexual stages of the human malaria parasite, Plasmodium falciparum. This method could facilitate the characterization of RNA-binding proteins in this organism for which few data are currently available.

Folding RNA-Protein Complex into Designed Nanostructures.

RNA-protein (RNP) complexes are promising biomaterials for the fields of nanotechnology and synthetic biology. Protein-responsive RNA sequences (RNP motifs) can be integrated into various RNAs, such as messenger RNA, short-hairpin RNA, and synthetic RNA nanoobjects for a variety of purposes. Direct observation of RNP interaction in solution at high resolution is important in the design and construction of RNP-mediated nanostructures. Here we describe a method to construct and visualize RNP nanostructures that precisely arrange a target protein on the RNA scaffold with nanometer scale. High-speed AFM (HS-AFM) images of RNP nanostructures show that the folding of RNP complexes of defined sizes can be directly visualized at single RNP resolution in solution.

RNA Proximity Labeling: A New Detection Tool for RNA-Protein Interactions.

Multiple cellular functions are controlled by the interaction of RNAs and proteins. Together with the RNAs they control, RNA interacting proteins form RNA protein complexes, which are considered to serve as the true regulatory units for post-transcriptional gene expression. To understand how RNAs are modified, transported, and regulated therefore requires specific knowledge of their interaction partners. To this end, multiple techniques have been developed to characterize the interaction between RNAs and proteins. In this review, we briefly summarize the common methods to study RNA-protein interaction including crosslinking and immunoprecipitation (CLIP), and aptamer- or antisense oligonucleotide-based RNA affinity purification. Following this, we focus on in vivo proximity labeling to study RNA-protein interactions. In proximity labeling, a labeling enzyme like ascorbate peroxidase or biotin ligase is targeted to specific RNAs, RNA-binding proteins, or even cellular compartments and uses biotin to label the proteins and RNAs in its vicinity. The tagged molecules are then enriched and analyzed by mass spectrometry or RNA-Seq. We highlight the latest studies that exemplify the strength of this approach for the characterization of RNA protein complexes and distribution of RNAs in vivo.

Studying RNA-Protein Complexes Using X-Ray Crystallography.

A wide range of biological processes rely on complexes between ribonucleic acids (RNAs) and proteins. Determining the three-dimensional structures of RNA-protein complexes is crucial to elucidate the relationship between structure and biological function. X-ray crystallography represents the most widely used technique to characterize RNA-protein complexes at atomic resolution; however, determining their three-dimensional structures remains challenging. RNase contamination can ruin crystallization experiments by degrading RNA in complex with protein, leading to sample heterogeneity, and the conformational flexibility inherent in both protein and RNA can limit crystallizability. Furthermore, the three-dimensional structure can be difficult to accurately model at the typical diffraction limit of 2.5 Å resolution or lower for RNA-protein complex crystals. At this resolution, phosphates, which are electron dense, and bases, which are large, rigid, and planar, tend to be well resolved and easy to position in the electron density map, whereas other features, e.g., sugar atoms, can be difficult to accurately position. This chapter focuses on methods that can be used to overcome the unique problems faced when crystallizing RNA-protein complexes and determining their three-dimensional structures using X-ray crystallography.

Evidence of Protein Binding by a Nucleopeptide Based on a Thyminedecorated L-Diaminopropanoic Acid through CD and In Silico Studies.

BACKGROUND: Nucleopeptides are chimeric compounds of biomedical importance carrying DNA nucleobases anchored to peptide backbones with the ascertained capacity to bind nucleic acids. However, their ability to interact with proteins involved in pathologies of social relevance is a feature that still requires investigation. The worrying situation currently observed worldwide for the COVID-19 pandemic urgently requires the research on novel anti-SARSCoV- 2 molecular weapons, whose discovery can be aided by in silico predictive studies. OBJECTIVE: The aim of this work is to explore by spectroscopic methods novel features of a thymine-bearing nucleopeptide based on L-diaminopropanoic acid, including conformational aspects as well as its ability to bind proteins, starting from bovine serum albumin (BSA) as a model protein. Moreover, in consideration of the importance of targeting viral proteins in the current fight against COVID-19, we evaluated in silico the interaction of the nucleopeptide with some of the most relevant coronavirus protein targets. METHODS: First, we investigated via circular dichroism (CD) the conformational behaviour of this thymine-bearing nucleopeptide with temperature: we observed CD spectral changes, particularly passing from 15 to 35 °C. Scanning Electron Microscopy (SEM) analysis of the nucleopeptide was also conducted on nucleopeptide solid samples. Additionally, CD binding and preliminary in silico investigations were performed with BSA as a model protein. Moreover, molecular dockings were run using as targets some of the main SARS-CoV-2 proteins. RESULTS: The temperature-dependent CD behaviour reflected the three-dimensional rearrangement of the nucleopeptide at different temperatures, with higher exposure to the solvent of its chromophores at higher temperatures compared to a more stacked structure at a low temperature. SEM analysis of nucleopeptide samples in the solid-state showed a granular morphology, with a low roughness and some thread structures. Moreover, we found through spectroscopic studies that the modified peptide bound the albumin target by inducing significant changes to the protein secondary structure. CONCLUSION: CD and preliminary in silico studies suggested that the nucleopeptide bound the BSA protein with high affinity according to different binding modes, as testified by binding energy scores lower than -11 kcal/mol. Interestingly, a predictive study performed on 3CLpro and other SARS-CoV-2 protein targets suggested the potential ability of the nucleopeptide to bind with good affinity the main protease of the virus and other relevant targets, including the RNAdependent RNA polymerase, especially when complexed with RNA, the papain-like protease, and the coronavirus helicase at the nucleic acid binding site.

LncRNA-SLC16A1-AS1 induces metabolic reprogramming during Bladder Cancer progression as target and co-activator of E2F1.

Long non-coding RNAs (lncRNAs) have emerged as integral components of E2F1-regulated gene regulatory networks (GRNs), but their implication in advanced or treatment-refractory malignancy is unknown. Methods: We combined high-throughput transcriptomic approaches with bioinformatics and structure modeling to search for lncRNAs that participate in E2F1-activated prometastatic GRNs and their phenotypic targets in the highly-relevant case of E2F1-driven aggressive bladder cancer (BC). RNA immunoprecipitation was performed to verify RNA-protein interactions. Functional analyses including qRT-PCR, immunoblotting, luciferase assays and measurement of extracellular fluxes were conducted to validate expression and target gene regulation. Results: We identified E2F1-responsive lncRNA-SLC16A1-AS1 and its associated neighboring protein-coding gene, SLC16A1/MCT1, which both promote cancer invasiveness. Mechanistically, upon E2F1-mediated co-transactivation of the gene pair, SLC16A1-AS1 associates with E2F1 in a structure-dependent manner and forms an RNA-protein complex that enhances SLC16A1/MCT1 expression through binding to a composite SLC16A1-AS1:E2F1-responsive promoter element. Moreover, SLC16A1-AS1 increases aerobic glycolysis and mitochondrial respiration and fuels ATP production by fatty acid ß-oxidation. These metabolic changes are accompanied by alterations in the expression of the SLC16A1-AS1:E2F1-responsive gene PPARA, a key mediator of fatty acid ß-oxidation. Conclusions: Our results unveil a new gene regulatory program by which E2F1-induced lncRNA-SLC16A1-AS1 forms a complex with its transcription factor that promotes cancer metabolic reprogramming towards the acquisition of a hybrid oxidative phosphorylation/glycolysis cell phenotype favoring BC invasiveness.

Cooperative Analysis of Structural Dynamics in RNA-Protein Complexes by Single-Molecule Förster Resonance Energy Transfer Spectroscopy.

RNA-protein complexes (RNPs) are essential components in a variety of cellular processes, and oftentimes exhibit complex structures and show mechanisms that are highly dynamic in conformation and structure. However, biochemical and structural biology approaches are mostly not able to fully elucidate the structurally and especially conformationally dynamic and heterogeneous nature of these RNPs, to which end single molecule Förster resonance energy transfer (smFRET) spectroscopy can be harnessed to fill this gap. Here we summarize the advantages of strategic smFRET studies to investigate RNP dynamics, complemented by structural and biochemical data. Focusing on recent smFRET studies of three essential biological systems, we demonstrate that investigation of RNPs on a single molecule level can answer important functional questions that remained elusive with structural or biochemical approaches alone: The complex structural rearrangements throughout the splicing cycle, unwinding dynamics of the G-quadruplex (G4) helicase RHAU, and aspects in telomere maintenance regulation and synthesis.

Discovery of ANTAR-RNAs and their Mechanism of Action in Mycobacteria.

Non-coding RNAs play pivotal roles in bacterial signaling. However, RNAs from certain phyla (specially high-GC actinobacteria) still remain elusive. Here, by re-engineering the existing genome-wide search approach, we discover a family of structurally conserved RNAs that are present ubiquitously across actinobacteria, including mycobacteria. In vitro analysis shows that RNAs belonging to this family bind response-regulator proteins that contain the widely prevalent ANTAR domain. The Mycobacterium tuberculosis ANTAR protein gets phosphorylated by a histidine kinase and interacts with RNA only in its phosphorylated state. These newly identified RNAs reside only in certain transcripts and typically overlap with the ribosome-binding site, regulating translation of these transcripts. In this way, the RNAs directly link signaling pathways to translational control, thus expanding the mechanistic tool kit available for ANTAR-based control of gene expression. In mycobacteria, we find that RNAs targeted by ANTAR proteins majorly encode enzymes of lipid metabolism and associated redox pathways. This now allows us to identify the key genes that mediate ANTAR-dependent control of lipid metabolism. Our study establishes the identity and wide prevalence of ANTAR-target RNAs in mycobacteria, bringing RNA-mediated regulation in these bacteria to the center stage.

Grad-seq in a Gram-positive bacterium reveals exonucleolytic sRNA activation in competence control.

RNA-protein interactions are the crucial basis for many steps of bacterial gene expression, including post-transcriptional control by small regulatory RNAs (sRNAs). In stark contrast to recent progress in the analysis of Gram-negative bacteria, knowledge about RNA-protein complexes in Gram-positive species remains scarce. Here, we used the Grad-seq approach to draft a comprehensive landscape of such complexes in Streptococcus pneumoniae, in total determining the sedimentation profiles of ~ 88% of the transcripts and ~ 62% of the proteins of this important human pathogen. Analysis of in-gradient distributions and subsequent tag-based protein capture identified interactions of the exoribonuclease Cbf1/YhaM with sRNAs that control bacterial competence for DNA uptake. Unexpectedly, the nucleolytic activity of Cbf1 stabilizes these sRNAs, thereby promoting their function as repressors of competence. Overall, these results provide the first RNA/protein complexome resource of a Gram-positive species and illustrate how this can be utilized to identify new molecular factors with functions in RNA-based regulation of virulence-relevant pathways.