RNA-protein Complexes Research Articles

The tandem zinc finger RNA binding domain of members of the tristetraprolin protein family.

Tristetraprolin (TTP), the prototype member of the protein family of the same name, was originally discovered as the product of a rapidly inducible gene in mouse cells. Development of a knockout (KO) mouse established that absence of the protein led to a severe inflammatory syndrome, due in part to elevated levels of tumor necrosis factor (TNF). TTP was found to bind directly and with high affinity to specific AU-rich sequences in the 3'-untranslated region of the TNF mRNA. This initial binding led to promotion of TNF mRNA decay and inhibition of its translation. Many additional TTP target mRNAs have since been identified, some of which are cytokines and chemokines involved in the inflammatory response. There are three other proteins in the mouse with similar activities and domain structures, but whose KO phenotypes are remarkably different. Moreover, proteins with similar domain structures and activities have been found throughout eukaryotes, demonstrating that this protein family arose from an ancient ancestor. The defining characteristic of this protein family is the tandem zinc finger (TZF) domain, a 64 amino acid sequence with many conserved residues that is responsible for the direct RNA binding. We discuss here many aspects of this protein domain that have been elucidated since the original discovery of TTP, including its sequence conservation throughout eukarya; its apparent continued evolution in some lineages; its functional dependence on many key conserved residues; its "interchangeability" among evolutionarily distant species; and the evidence that RNA binding is required for the physiological functions of the proteins. This article is categorized under: RNA Interactions with Proteins and Other Molecules > RNA-Protein Complexes RNA Interactions with Proteins and Other Molecules > Protein-RNA Recognition RNA Interactions with Proteins and Other Molecules > Protein-RNA Interactions: Functional Implications.

ToGo-WF: prediction of RNA tertiary structures and RNA-RNA/protein interactions using the KNIME workflow.

Recent progress in molecular biology has revealed that many non-coding RNAs regulate gene expression or catalyze biochemical reactions in tumors, viruses and several other diseases. The tertiary structure of RNA molecules and RNA–RNA/protein interaction sites are of increasing importance as potential targets for new medicines that treat a broad array of human diseases. Current RNA drugs are split into two groups: antisense RNA molecules and aptamers. In this report, we present a novel workflow to predict RNA tertiary structures and RNA–RNA/protein interactions using the KNIME environment, which enabled us to assemble a combination of RNA-related analytical tools and databases. In this study, three analytical workflows for comprehensive structural analysis of RNA are introduced: (1) prediction of the tertiary structure of RNA; (2) prediction of the structure of RNA–RNA complexes and analysis of their interactions; and (3) prediction of the structure of RNA–protein complexes and analysis of their interactions. In an RNA–protein case study, we modeled the tertiary structure of pegaptanib, an aptamer drug, and performed docking calculations of the pegaptanib-vascular endothelial growth factor complex using a fragment of the interaction site of the aptamer. We also present molecular dynamics simulations of the RNA–protein complex to evaluate the affinity of the complex by mutating bases at the interaction interface. The results provide valuable information for designing novel features of aptamer-protein complexes.Electronic supplementary materialThe online version of this article (10.1007/s10822-019-00195-y) contains supplementary material, which is available to authorized users.

Purification of cross-linked RNA-protein complexes by phenol-toluol extraction

Recent methodological advances allowed the identification of an increasing number of RNA-binding proteins (RBPs) and their RNA-binding sites. Most of those methods rely, however, on capturing proteins associated to polyadenylated RNAs which neglects RBPs bound to non-adenylate RNA classes (tRNA, rRNA, pre-mRNA) as well as the vast majority of species that lack poly-A tails in their mRNAs (including all archea and bacteria). We have developed the Phenol Toluol extraction (PTex) protocol that does not rely on a specific RNA sequence or motif for isolation of cross-linked ribonucleoproteins (RNPs), but rather purifies them based entirely on their physicochemical properties. PTex captures RBPs that bind to RNA as short as 30 nt, RNPs directly from animal tissue and can be used to simplify complex workflows such as PAR-CLIP. Finally, we provide a global RNA-bound proteome of human HEK293 cells and the bacterium Salmonella Typhimurium.

RNA-binding proteome redux.

Scientists exploit the basic physicochemical properties of protein–RNA complexes to paint a dynamic portrait of the RNA-binding proteome.

Methods to study RNA-protein interactions.

Noncoding RNA sequences, including long noncoding RNAs, small nucleolar RNAs, and untranslated mRNA regions, accomplish many of their diverse functions through direct interactions with RNA-binding proteins (RBPs). Recent efforts have identified hundreds of new RBPs that lack known RNA-binding domains, thus underscoring the complexity and diversity of RNA-protein complexes. Recent progress has expanded the number of methods for studying RNA-protein interactions in two general categories: approaches that characterize proteins bound to an RNA of interest (RNA-centric), and those that examine RNAs bound to a protein of interest (protein-centric). Each method has unique strengths and limitations, which makes it important to select optimal approaches for the biological question being addressed. Here we review methods for the study of RNA-protein interactions, with a focus on their suitability for specific applications.

Stress-induced mRNP granules: Form and function of processing bodies and stress granules.

In response to stress, cells must quickly reprogram gene expression to adapt and survive. This is achieved in part by altering levels of mRNAs and their translation into proteins. Recently, the formation of two stress-induced messenger ribonucleoprotein (mRNP) assemblies named stress granules and processing bodies has been postulated to directly impact gene expression during stress. These assemblies sequester and concentrate specific proteins and RNAs away from the larger cytoplasm during stress, thereby providing a layer of posttranscriptional gene regulation with the potential to directly impact mRNA levels, protein translation, and cell survival. The function of these granules has generally been ascribed either by the protein components concentrated into them or, more broadly, by global changes that occur during stress. Recent proteome- and transcriptome-wide studies have provided a more complete view of stress-induced mRNP granule composition in varied cell types and stress conditions. However, direct measurements of the phenotypic and functional consequences of stress granule and processing body formation are lacking. This leaves our understanding of their roles during stress incomplete. Continued study into the function of these granules will be an important part in elucidating how cells respond to and survive stressful environmental changes. This article is categorized under: Translation > Translation Regulation RNA Interactions with Proteins and Other Molecules > RNA-Protein Complexes RNA Export and Localization > RNA Localization.

TRNA Processing and Subcellular Trafficking Proteins Multitask in Pathways for Other RNAs.

This article focuses upon gene products that are involved in tRNA biology, with particular emphasis upon post-transcriptional RNA processing and nuclear-cytoplasmic subcellular trafficking. Rather than analyzing these proteins solely from a tRNA perspective, we explore the many overlapping functions of the processing enzymes and proteins involved in subcellular traffic. Remarkably, there are numerous examples of conserved gene products and RNP complexes involved in tRNA biology that multitask in a similar fashion in the production and/or subcellular trafficking of other RNAs, including small structured RNAs such as snRNA, snoRNA, 5S RNA, telomerase RNA, and SRP RNA as well as larger unstructured RNAs such as mRNAs and RNA-protein complexes such as ribosomes. Here, we provide examples of steps in tRNA biology that are shared with other RNAs including those catalyzed by enzymes functioning in 5′ end-processing, pseudoU nucleoside modification, and intron splicing as well as steps regulated by proteins functioning in subcellular trafficking. Such multitasking highlights the clever mechanisms cells employ for maximizing their genomes.

Length doesn't matter-telomere damage triggers cellular senescence in the ageing heart.

Telomere shortening induces cellular senescence in proliferative cells. Yet, it is presently unclear how it is triggered in post‐mitotic cells such as cardiac myocytes. A new study by Anderson et al (2019) reports that during ageing of the heart, cellular senescence develops independently of telomere length, but is evoked by DNA damage, which preferentially accumulates at the telomere. Removal of senescent cells using senolytic drugs ameliorated cardiac hypertrophy and fibrosis and may inform novel approaches to improve the conditions for the ageing heart.

RNAs in the spliceosome: Insight from cryoEM structures.

Pre-mRNA splicing is catalyzed by the spliceosome, a multimegadalton RNA-protein complex. The spliceosome undergoes dramatic compositional and conformational changes through the splicing cycle, forming at least 10 distinct complexes. Recent high-resolution cryoEM structures of various spliceosomal complexes revealed unprecedented details of this large molecular machine. This review highlights insight into the structure and function of the spliceosomal RNA components obtained from these new structures, with a focus on the yeast spliceosome. This article is categorized under: RNA Processing > Splicing Mechanisms RNA Structure and Dynamics > RNA Structure, Dynamics, and Chemistry RNA Interactions with Proteins and Other Molecules > RNA-Protein Complexes.

Detection of RNA-protein interactions using a highly sensitive non-radioactive electrophoretic mobility shift assay.

Electrophoretic mobility shift assay (EMSA) is a sensitive technique useful in the identification and characterization of protein interactors with nucleic acids. This assay provides an efficient method to study DNA or RNA binding proteins and to identify nucleic acid substrates. The specific interaction plays important roles in many biological processes such as transcription, translation, splicing, and global gene expression. In this article, we have modified the EMSA technique and developed a non-radioactive straightforward method to study and determine RNA-protein interactions. The labeling of target RNAs by 3'-end biotinylation and the detection of biotin reactivity to streptavidin-conjugated horseradish peroxidase is a highly sensitive approach capable to detect the formation of RNA-protein complexes. Overall, we provide a complete technical guide useful to determine in vitro RNA-protein interactions and analyze RNA target specificity.

Construction of Complex Features for Computational Predicting ncRNA-Protein Interaction.

Non-coding RNA (ncRNA) plays important roles in many critical regulation processes. Many ncRNAs perform their regulatory functions by the form of RNA-protein complexes. Therefore, identifying the interaction between ncRNA and protein is fundamental to understand functions of ncRNA. Under pressures from expensive cost of experimental techniques, developing an accuracy computational predictive model has become an indispensable way to identify ncRNA-protein interaction. A powerful predicting model of ncRNA-protein interaction needs a good feature set of characterizing the interaction. In this paper, a novel method is put forward to generate complex features for characterizing ncRNA-protein interaction (named CFRP). To obtain a comprehensive description of ncRNA-protein interaction, complex features are generated by non-linear transformations from the traditional k-mer features of ncRNA and protein sequences. To further reduce the dimensions of complex features, a group of discriminative features are selected by random forest. To validate the performances of the proposed method, a series of experiments are carried on several widely-used public datasets. Compared with the traditional k-mer features, the CFRP complex features can boost the performances of ncRNA-protein interaction prediction model. Meanwhile, the CFRP-based prediction model is compared with several state-of-the-art methods, and the results show that the proposed method achieves better performances than the others in term of the evaluation metrics. In conclusion, the complex features generated by CFRP are beneficial for building a powerful predicting model of ncRNA-protein interaction.

Bridge Helix of Cas9 Impacts Target DNA Cleavage

CRISPR-Cas systems are RNA-guided nucleases that provide adaptive immune protection for bacteria and archaea against intruding genomic materials. Cas9, a type II CRISPR effector protein, is widely used for gene editing applications since a single guide RNA (sgRNA) can direct Cas9 to cleave DNA targets of interest. The complementary base pairing between the guide region of the sgRNA and the target DNA is essential to activate the endonuclease sites of Cas9. In addition, a three to five nucleotide long region, termed protospacer adjacent motif (PAM), adjacent to the RNA-DNA complementary region is essential for Cas9 function. The mechanism of RNA-mediated conformational changes in Cas9 and how they contribute to faithful DNA targeting is being pursued actively for developing Cas9 variants with minimal off-targeting effects. It has been previously established that an arginine-rich bridge helix (BH) present in Cas9 is critical for its activity. In the present study, we show that substitutions within the BH of Streptococcus pyogenes (Spy) Cas9 impair DNA cleavage activity compared to the wild-type protein. The DNA cleavage deficiency is more pronounced in DNA targets that are mismatched with the guide region of sgRNA at the PAM proximal side. BH substitutions cause an accumulation nicked products, leading to a reduction of target DNA linearization. Gene editing experiments performed on human cells (HEK293T) showed that even though the BH-variant is not as efficient as the wild-type protein in editing all the tested sites, the off-target effect on edited sites is considerably reduced when compared to the wild-type protein. Mechanistic analyses show that the BH-substitution does not reduce sgRNA-binding affinity, but substantially reduces the stability of the protein-RNA complex. We propose BH-substitution as a mechanism to fine-tune CRISPR-based gene editing applications since BH is conserved in several CRISPR systems.

Structural Characterization of a Peptide Derived from a Lab-Evolved Protein that Targets HIV-1 TAR RNA

Innovative approaches are needed to create new therapeutics that target HIV, especially those that act on novel facets of the viral life cycle. The HIV-1 TAR (trans-activation response) element RNA is a validated drug target that resists mutations to maintain interactions with the viral protein Tat and the host pTEFb complex, giving rise to a protein-RNA complex that is essential for efficient proviral transcription. So far, TAR has evaded discovery of compounds with sufficient affinity and selectivity to warrant pharmaceutical development. To meet this challenge, we pursued a ‘semi-design and protein evolution’ approach that yielded many high-affinity TAR Binding Proteins (TBPs) derived from RRM1 of the U1A spliceosomal protein. Here we describe the lab-evolution results and present the structural analysis of TBP6.7 in complex with TAR at 1.8Å. TBP6.7 recognizes conserved guanines in the TAR major groove using a constellation of arginines within the beta2-beta3 loop. We demonstrate the feasibility of reducing TBPs to short a cyclic peptide (peptide 1) that retains TAR binding and inhibit Tat-mediated transcription in HeLa cell nuclear lysate. In addition, TBP6.7(Q48T) shows that a mutation in the beta2-beta3 loop yields additional interactions between K20, K22 and N15 of the β1-α1 loop and the TAR bulge. Concurrently, we also present a crystallization module validated by isothermal titration calorimetry (ITC), which will be used for co-crystallizing TAR RNA with peptides and small molecules. Future efforts will involve optimization of peptide 1, biophysical characterization of optimized peptides and co-crystallization with TAR RNA.

M⁶A mRNA Destiny: Chained to the rhYTHm by the YTH-Containing Proteins.

The control of gene expression is a multi-layered process occurring at the level of DNA, RNA, and proteins. With the emergence of highly sensitive techniques, new aspects of RNA regulation have been uncovered leading to the emerging field of epitranscriptomics dealing with RNA modifications. Among those post-transcriptional modifications, N6-methyladenosine (m6A) is the most prevalent in messenger RNAs (mRNAs). This mark can either prevent or stimulate the formation of RNA-protein complexes, thereby influencing mRNA-related mechanisms and cellular processes. This review focuses on proteins containing a YTH domain (for YT521-B Homology), a small building block, that selectively detects the m6A nucleotide embedded within a consensus motif. Thereby, it contributes to the recruitment of various effectors involved in the control of mRNA fates through adjacent regions present in the different YTH-containing proteins.

DNA-Free Genome Editing: Past, Present and Future

Genome Editing using engineered endonuclease (GEEN) systems rapidly took over the field of plant science and plant breeding. So far, Genome Editing techniques have been applied in more than fifty different plants; including model species like Arabidopsis; main crops like rice, maize or wheat as well as economically less important crops like strawberry, peanut and cucumber. These techniques have been used for basic research as proof-of-concept or to investigate gene functions in most of its applications. However, several market-oriented traits have been addressed including enhanced agronomic characteristics, improved food and feed quality, increased tolerance to abiotic and biotic stress and herbicide tolerance. These technologies are evolving at a tearing pace and especially the field of CRISPR based Genome Editing is advancing incredibly fast. CRISPR-Systems derived from a multitude of bacterial species are being used for targeted Gene Editing and many modifications have already been applied to the existing CRISPR-Systems such as (i) alter their protospacer adjacent motif (ii) increase their specificity (iii) alter their ability to cut DNA and (iv) fuse them with additional proteins. Besides, the classical transformation system using Agrobacteria tumefaciens or Rhizobium rhizogenes, other transformation technologies have become available and additional methods are on its way to the plant sector. Some of them are utilizing solely proteins or protein-RNA complexes for transformation, making it possible to alter the genome without the use of recombinant DNA. Due to this, it is impossible that foreign DNA is being incorporated into the host genome. In this review we will present the recent developments and techniques in the field of DNA-free Genome Editing, its advantages and pitfalls and give a perspective on technologies which might be available in the future for targeted Genome Editing in plants. Furthermore, we will discuss these techniques in the light of existing– and potential future regulations.

Partial demixing of RNA-protein complexes leads to intradroplet patterning in phase-separated biological condensates.

An emerging mechanism for intracellular organization is liquid-liquid phase separation (LLPS). Found in both the nucleus and the cytoplasm, liquidlike droplets condense to create compartments that are thought to promote and inhibit specific biochemistry. In this work, a multiphase, Cahn-Hilliard diffuse interface model is used to examine RNA-protein interactions driving LLPS. We create a bivalent system that allows for two different species of protein-RNA complexes and model the competition that arises for a shared binding partner, free protein. With this system we demonstrate that the binding and unbinding of distinct RNA-protein complexes leads to diverse spatial pattern formation and dynamics within droplets. Both the initial formation and transient behavior of spatial patterning are subject to the exchange of free proteins between RNA-protein complexes. This study illustrates that spatiotemporal heterogeneity can emerge within phase-separated biological condensates with simple binding reactions and competition. Intradroplet patterning may influence droplet composition and, subsequently, cellular organization on a larger scale.

RNA Polymerase I Activators Count and Adjust Ribosomal RNA Gene Copy Number

Ribosome is the most abundant RNA-protein complex in a cell, and many copies of the ribosomal RNA gene (rDNA) have to be maintained. However, arrays of tandemly repeated rDNA genes can lose the copies by intra-repeat recombination. Loss of the rDNA copies of Saccharomyces cerevisiae is counteracted by gene amplification whereby the number of rDNA repeats stabilizes around 150 copies, suggesting the presence of a monitoring mechanism that counts and adjusts the number. Here, we report that, in response to rDNA copy loss, the upstream activating factor (UAF) for RNA polymerase I that transcribes the rDNA is released and directly binds to a RNA polymerase II-transcribed gene, SIR2, whose gene products silence rDNA recombination, to repress. We show that the amount of UAF determines the rDNA copy number that is stably maintained. UAF ensures rDNA production not only by rDNA transcription activation but also by its copy-number maintenance.

SPHot: Prediction of Hot Spots in Protein-RNA Complexes by Protein Sequence Information and Ensemble Classifier

RNA-binding hot spots are a small and complementary set of interfacial residues that contribute most to the binding energy of protein-RNA interfaces. As experimental methods for identifying hot spots are time-consuming, labor-intensive and costly, there is a great interest in computational approaches that can predict hot spots on a large scale. In this paper, we introduced a sequence-based method that used ensemble classifier to predict hot spots in protein-RNA complexes. We first employed three different sequence encoding schemes based on the physicochemical properties from the AAindex database, the amino acid substitution matrix (BLOSUM62), and the predicted relative accessible surface area. Based on these sequence features, 249 individual predictors were developed to identify hot spots using the radial basis function (RBF)-based support vector machine (SVM), sigmoid-based SVM, and k-nearest neighbor algorithm (k-NN), respectively. The combinations of these individual predictors by majority voting were explored in a comprehensive way and an ensemble vote classifier composed of 43 individual predictors were selected to construct the final ensemble classifier. The ensemble classifier outperformed the state-of-the-art computational methods, yielding an F1 score of 0.843 and AUC of 0.893 on the training set as well as F1 score of 0.814 and AUC of 0.842 on the test set. The data and source code are available on the web site http://bioinfo.ahu.edu.cn:8080/SPHot.

Preparation of cooperative RNA recognition complexes for crystallographic structural studies.

It is essential that mRNA-binding proteins recognize specific motifs in target mRNAs to control their processing, localization, and expression. Although mRNAs are typically targets of many different regulatory factors, our understanding of how they work together is limited. In some cases, RNA-binding proteins work cooperatively to regulate an mRNA target. A classic example is Drosophila melanogaster Pumilio (Pum) and Nanos (Nos). Pum is a sequence-specific RNA-binding protein. Nos also binds RNA, but interaction with some targets requires Pum to bind first. We recently determined crystal structures of complexes of Pum and Nos with two different target RNA sequences. A crystal structure in complex with the hunchback mRNA element showed how Pum and Nos together can recognize an extended RNA sequence with Nos binding to an A/U-rich sequence 5' of the Pum sequence element. Nos also enables recognition of elements that contain an A/U-rich 5' sequence, but imperfectly match the Pum sequence element. We determined a crystal structure of Pum and Nos in complex with the Cyclin B mRNA element, which demonstrated how Nos clamps the Pum-RNA complex and enables recognition of the imperfect element. Here, we describe methods for expression and purification of stable Pum-Nos-RNA complexes for crystallization, details of the crystallization and structure determination, and guidance on how to analyze protein-RNA structures and evaluate structure-driven hypotheses. We aim to provide tips and guidance that can be applied to other protein-RNA complexes. With hundreds of mRNA-binding proteins identified, combinatorial control is likely to be common, and much work remains to understand them structurally.

Combination of coarse-grained molecular dynamics simulations and small-angle X-ray scattering experiments.

The combination of molecular dynamics (MD) simulations and small-angle X-ray scattering (SAXS), called the MD-SAXS method, is efficient for investigating protein dynamics. To overcome the time-scale limitation of all-atom MD simulations, coarse-grained (CG) representations are often utilized for biomolecular simulations. In this study, we propose a method to combine CG MD simulations with SAXS, termed the CG-MD-SAXS method. In the CG-MD-SAXS method, the scattering factors of CG particles for proteins and nucleic acids are evaluated using high-resolution structural data in the Protein Data Bank, and the excluded volume and the hydration shell are modeled using two adjustable parameters to incorporate solvent effects. To avoid overfitting, only the two parameters are adjusted for an entire structure ensemble. To verify the developed method, theoretical SAXS profiles for various proteins, DNA/RNA, and a protein-RNA complex are compared with both experimental profiles and theoretical profiles obtained by the all-atom representation. In the present study, we applied the CG-MD-SAXS method to the Swi5-Sfr1 complex and three types of nucleosomes to obtain reliable ensemble models consistent with the experimental SAXS data.