Non-coding RNA Structure Research Articles

Synthesis, Structure, and Function of Human Adenovirus Small Non-Coding RNAs.

Human adenoviruses (HAdVs) are common pathogens causing a variety of respiratory, ocular and gastrointestinal diseases. To accomplish their efficient replication, HAdVs take an advantage of viral small non-coding RNAs (sncRNAs), which have multiple roles during the virus lifecycle. Three of the best-characterized HAdV sncRNAs; VA RNA, mivaRNA and MLP-TSS-sRNA will be discussed in the present review. Even though VA RNA has been extensively characterized during the last 60 years, this multifunctional molecule continues to surprise us as more of its structural secrets unfold. Likely, the recent developments on mivaRNA and MLP-TSS-sRNA synthesis and function highlight the importance of these sncRNA in virus replication. Collectively, we will summarize the old and new knowledge about these three viral sncRNAs with focus on their synthesis, structure and functions.

Prediction of RNA secondary structure based on stem region replacement using the RSRNA algorithm

RNA functions, including the regulation of various cellular activities, seem to be closely related to its structure. However, accurately predicting RNA secondary structures can be difficult. Structural prediction can be achieved by selecting stem areas that are suitable and compatible from stem pools. Here, we propose a method for predicting the secondary structure of non-coding RNA based on stem region substitution, which we named RSRNA. This method is compatible with nested RNA secondary structures, while reducing any randomness. Our algorithm had higher performance and prediction accuracy than other algorithms, which deems it more effective for future RNA structure studies.

LocalSTAR3D: a local stack-based RNA 3D structural alignment tool.

A fast-growing number of non-coding RNA structures have been resolved and deposited in Protein Data Bank (PDB). In contrast to the wide range of global alignment and motif search tools, there is still a lack of local alignment tools. Among all the global alignment tools for RNA 3D structures, STAR3D has become a valuable tool for its unprecedented speed and accuracy. STAR3D compares the 3D structures of RNA molecules using consecutive base-pairs (stacks) as anchors and generates an optimal global alignment. In this article, we developed a local RNA 3D structural alignment tool, named LocalSTAR3D, which was extended from STAR3D and designed to report multiple local alignments between two RNAs. The benchmarking results show that LocalSTAR3D has better accuracy and coverage than other local alignment tools. Furthermore, the utility of this tool has been demonstrated by rediscovering kink-turn motif instances, conserved domains in group II intron RNAs, and the tRNA mimicry of IRES RNAs.

The T1D-associated lncRNA Lnc13 modulates human pancreatic β cell inflammation by allele-specific stabilization of STAT1 mRNA

The vast majority of type 1 diabetes (T1D) genetic association signals lie in noncoding regions of the human genome. Many have been predicted to affect the expression and secondary structure of long noncoding RNAs (lncRNAs), but the contribution of these lncRNAs to the pathogenesis of T1D remains to be clarified. Here, we performed a complete functional characterization of a lncRNA that harbors a single nucleotide polymorphism (SNP) associated with T1D, namely, Lnc13 Human pancreatic islets harboring the T1D-associated SNP risk genotype in Lnc13 (rs917997*CC) showed higher STAT1 expression than islets harboring the heterozygous genotype (rs917997*CT). Up-regulation of Lnc13 in pancreatic β-cells increased activation of the proinflammatory STAT1 pathway, which correlated with increased production of chemokines in an allele-specific manner. In a mirror image, Lnc13 gene disruption in β-cells partially counteracts polyinosinic-polycytidylic acid (PIC)-induced STAT1 and proinflammatory chemokine expression. Furthermore, we observed that PIC, a viral mimetic, induces Lnc13 translocation from the nucleus to the cytoplasm promoting the interaction of STAT1 mRNA with (poly[rC] binding protein 2) (PCBP2). Interestingly, Lnc13-PCBP2 interaction regulates the stability of the STAT1 mRNA, sustaining inflammation in β-cells in an allele-specific manner. Our results show that the T1D-associated Lnc13 may contribute to the pathogenesis of T1D by increasing pancreatic β-cell inflammation. These findings provide information on the molecular mechanisms by which disease-associated SNPs in lncRNAs influence disease pathogenesis and open the door to the development of diagnostic and therapeutic approaches based on lncRNA targeting.

Structure, Regulation, and Function of Linear and Circular Long Non-Coding RNAs.

Long non-coding RNAs (lncRNAs), including linear lncRNAs and circular RNAs (circRNAs), exhibit a surprising range of structures. Linear lncRNAs and circRNAs are generated by different pathways. Linear lncRNAs perform functions that depend on their specific sequences, transcription, and DNA elements of their gene loci. In some cases, linear lncRNAs contain a short open reading frame encoding a peptide. circRNAs are covalently closed RNAs with tissue-specific and cell-specific expression patterns that have recently been extensively investigated. Pioneering work focusing on their biogenesis and functional characterization indicates that circRNAs regulate cell development via multiple mechanisms and play critical roles in the immune system. Furthermore, circRNAs in exosomes function on target cells. As with linear lncRNAs, specific circRNAs can also be translated. In this review, we summarize current understanding and highlight the diverse structure, regulation, and function of linear lncRNAs and circRNAs.

Research Progress of Epigenetics in Pathogenesis and Treatment of Malignant Tumors

表观遗传学修饰与肿瘤的发生发展密切相关，其主要通过DNA甲基化、组蛋白修饰、非编码RNA调控和染色质结构重构等方式对基因功能和表达水平进行调控，从而影响肿瘤的进展。目前针对表观遗传学的药物已经逐渐应用于恶性肿瘤的治疗，常见的药物类型包括DNA甲基转移酶抑制剂和组蛋白去乙酰化酶抑制剂，但此类药物仍存在诸多不足之处广泛的临床应用仍需要进一步的研究，令人鼓舞的是表观遗传药物与多种抗肿瘤药物联合应用已表现出巨大的应用潜力。本文就表观遗传学在恶性肿瘤的发生发展机制和相关药物的新进展进行了综述。

Single-nucleus chromatin accessibility reveals intratumoral epigenetic heterogeneity in IDH1 mutant gliomas

The presence of genome-wide DNA hypermethylation is a hallmark of lower grade gliomas (LGG) with isocitrate dehydrogenase (IDH) mutations. Further molecular classification of IDH mutant gliomas is defined by the presence (IDHmut-codel) or absence (IDHmut-noncodel) of hemizygous codeletion of chromosome arms 1p and 19q. Despite the DNA hypermethylation seen in bulk tumors, intra-tumoral heterogeneity at the epigenetic level has not been thoroughly analyzed. To address this question, we performed the first epigenetic profiling of single cells in a cohort of 5 gliomas with IDH1 mutation using single nucleus Assay for Transposase-Accessible Chromatin with high-throughput sequencing (snATAC-seq). Using the Fluidigm HT IFC microfluidics platform, we generated chromatin accessibility maps from 336 individual nuclei, and identified variable promoter accessibility of non-coding RNAs in LGGs. Interestingly, local chromatin structures of several non-coding RNAs are significant factors that contribute to heterogeneity, and show increased promoter accessibility in IDHmut-noncodel samples. As an example for clinical significance of this result, we identify CYTOR as a poor prognosis factor in gliomas with IDH mutation. Open chromatin assay points to differential accessibility of non-coding RNAs as an important source of epigenetic heterogeneity within individual tumors and between molecular subgroups. Rare populations of nuclei that resemble either IDH mutant molecular group co-exist within IDHmut-noncodel and IDHmut-codel groups, and along with non-coding RNAs may be an important issue to consider for future studies, as they may help guide predict treatment response and relapse.A web-based explorer for the data is available at shiny.turcanlab.org.

Abstract 040: Comparative Genomic Analysis and Functional Insights for Blood Pressure-Associated Single Nucleotide Polymorphisms

Genetic factors play an important role in the regulation of blood pressure (BP) and the development of hypertension. Recent genome-wide association studies (GWAS) in large cohorts have identified associations of hundreds of single nucleotide polymorphisms (SNPs) with human BP. Understanding the molecular function of these SNPs and linking them to BP regulation are among the most pressing challenges in BP research. Animal models, including mouse models, are essential tools for studying BP regulatory mechanisms. In this study, we performed a thorough analysis of the most comprehensive set of human BP-associated SNPs to date and experimental validation. We mapped 26,585 human BP-associated SNPs in 1,071 linkage disequilibrium (LD) regions to 9,447 syntenic regions in the mouse genome. 6,551 of these sites have the same nearest protein-coding genes in human and mouse. 87.0% (932) of the 1,071 LD regions do not contain any nonsynonymous SNP, including 21.8% (234) that are at least 10 kb from any protein-coding gene. Approximately 300 BP-associated SNPs are expression quantitative trait loci for a few dozen known BP physiology genes in tissues including specific kidney regions that are physiologically important for BP regulation. CCCTC-binding factors (CTCF) are essential for regulating long-distance actions of enhancers. Using a newly developed deep learning model, we identified 5 BP-associated SNPs that might influence the conservation of CTCF binding across 40 cell types, and two of them are predicted to have strong effect on CTCF binding. Using SpliceAI, a deep neural network model for predicting the effect of SNPs on mRNA splicing, we identified 19, 9, 22, and 13 SNPs that have a delta value of more than 0.2 for acceptor gain, acceptor loss, donor gain, and donor loss, respectively. Several SNPs are predicted to influence secondary structure of mRNAs and long noncoding RNAs. We experimentally validated that synonymous SNP rs9337951, predicted to influence the secondary structure of its host mRNA JCAD, influences JCAD protein expression. These findings provide novel insights into the potential functional significance of human BP-associated SNPs and form an extensive basis for developing experiments to test such significance in human cells and animal models.

Decrypting noncoding RNA interactions, structures, and functional networks.

The world of noncoding RNAs (ncRNAs) is composed of an enormous and growing number of transcripts, ranging in length from tens of bases to tens of kilobases, involved in all biological processes and altered in expression and/or function in many types of human disorders. The premise of this review is the concept that ncRNAs, like many large proteins, have a multidomain architecture that organizes them spatially and functionally. As ncRNAs are beginning to be imprecisely classified into functional families, we review here how their structural properties might inform their functions with focus on structural architecture–function relationships. We will describe the properties of “interactor elements” (IEs) involved in direct physical interaction with nucleic acids, proteins, or lipids and of “structural elements” (SEs) directing their wiring within the “ncRNA interactor networks” through the emergence of secondary and/or tertiary structures. We suggest that spectrums of “letters” (ncRNA elements) are assembled into “words” (ncRNA domains) that are further organized into “phrases” (complete ncRNA structures) with functional meaning (signaling output) through complex “sentences” (the ncRNA interactor networks). This semiotic analogy can guide the exploitation of ncRNAs as new therapeutic targets through the development of IE-blockers and/or SE-lockers that will change the interactor partners’ spectrum of proteins, RNAs, DNAs, or lipids and consequently influence disease phenotypes.

Fluorescence-based investigations of RNA-small molecule interactions.

Interrogating non-coding RNA structures and functions with small molecules is an area of rapidly increasing interest among biochemists and chemical biologists. However, many biochemical approaches to monitoring RNA structures are time-consuming and low-throughput, and thereby are only of limited utility for RNA-small molecule studies. Fluorescence-based techniques are powerful tools for rapid investigation of RNA conformations, dynamics, and interactions with small molecules. Many fluorescence methods are amenable to high-throughput analysis, enabling library screening for small molecule binders. In this review, we summarize numerous fluorescence-based approaches for identifying and characterizing RNA-small molecule interactions. We describe in detail a high-information content dual-reporter FRET assay we developed to characterize small molecule-induced conformational and stability changes. Our assay is uniquely suited as a platform for both small molecule discovery and thorough characterization of RNA-small molecule binding mechanisms. Given the growing recognition of non-coding RNAs as attractive targets for therapeutic intervention, we anticipate our FRET assay and other fluorescence-based techniques will be indispensable for the development of potent and specific small molecule inhibitors targeting RNA.

A bacterial riboswitch class for the thiamin precursor HMP-PP employs a terminator-embedded aptamer.

We recently implemented a bioinformatics pipeline that can uncover novel, but rare, riboswitch candidates as well as other noncoding RNA structures in bacteria. A prominent candidate revealed by our initial search efforts was called the 'thiS motif' because of its frequent association with a gene coding for the ThiS protein, which delivers sulfur to form the thiazole moiety of the thiamin precursor HET-P. In the current report, we describe biochemical and genetic data demonstrating that thiS motif RNAs function as sensors of the thiamin precursor HMP-PP, which is fused with HET-P ultimately to form the final active coenzyme thiamin pyrophosphate (TPP). HMP-PP riboswitches exhibit a distinctive architecture wherein an unusually small ligand-sensing aptamer is almost entirely embedded within an otherwise classic intrinsic transcription terminator stem. This arrangement yields remarkably compact genetic switches that bacteria use to tune the levels of thiamin precursors during the biosynthesis of this universally distributed coenzyme.

Stalking Structure in Plant Long Noncoding RNAs.

Long noncoding RNAs play important roles in plant epigenetic processes. While many extensive studies have delineated the range of their functions in plants, few detailed studies of the structure of plant long noncoding RNAs have been performed. Here, we review genome-wide and system-specific structural studies and describe methodology for structure determination.

Long Non-coding RNA Structure and Function: Is There a Link?

RNA has emerged as the prime target for diagnostics, therapeutics and the development of personalized medicine. In particular, the non-coding RNAs (ncRNAs) that do not encode proteins, display remarkable biochemical versatility. They can fold into complex structures and interact with proteins, DNA and other RNAs, modulating the activity, DNA targets or partners of multiprotein complexes. Thus, ncRNAs confer regulatory plasticity and represent a new layer of epigenetic control that is dysregulated in disease. Intriguingly, for long non-coding RNAs (lncRNAs, >200 nucleotides length) structural conservation rather than nucleotide sequence conservation seems to be crucial for maintaining their function. LncRNAs tend to acquire complex secondary and tertiary structures and their functions only impose very subtle sequence constraints. In the present review we will discuss the biochemical assays that can be employed to determine the lncRNA structural configurations. The implications and challenges of linking function and lncRNA structure to design novel RNA therapeutic approaches will also be analyzed.

The role of long non-coding RNAs in cardiac development and disease.

Cells display a set of RNA molecules at one time point, reflecting thus the cellular transcriptional steady state, configuring therefore its transcriptome. It is basically composed of two different classes of RNA molecules; protein-coding RNAs (cRNAs) and protein non-coding RNAs (ncRNAs). Sequencing of the human genome and subsequently the ENCODE project identified that more than 80% of the genome is transcribed in some type of RNA. Importantly, only 3% of these transcripts correspond to protein-coding RNAs, pointing that ncRNAs are as important or even more as cRNAs. ncRNAs have pivotal roles in development, differentiation and disease. Non-coding RNAs can be classified into two distinct classes according to their length; i.e., small (<200 nt) and long (>200 nt) noncoding RNAs. The structure, biogenesis and functional roles of small non-coding RNA have been widely studied, particularly for microRNAs (miRNAs). In contrast to microRNAs, our current understanding of long non-coding RNAs (lncRNAs) is limited. In this manuscript, we provide state-of-the art review of the functional roles of long non-coding RNAs during cardiac development as well as an overview of the emerging role of these ncRNAs in distinct cardiac diseases.

Stephen Roy Holbrook

Stephen Roy Holbrook, 68, died on Aug. 12, 2017, in Moraga, Calif. “One of Steve’s favorite aphorisms was ‘Life is short; science is long.’ He overcame lifetime physical disabilities from polio contracted at age four to become a well-known macromolecular crystallographer and bioinformaticist. His field of interest was structure and prediction of novel noncoding RNAs, and he worked with his wife on many projects. Despite additional health challenges in later years, he always maintained a positive attitude, cherished life, showed a beautiful smile, and made time to help out any friend or colleague. His enthusiastic pursuit of science lasted a lifetime; he is greatly missed by family, former colleagues, and friends.”—Libby Holbrook, wife Most recent title: Staff scientist, Lawrence Berkeley National Laboratory Education: B.S., chemistry, 1969, and Ph.D., physical chemistry, 1974, University of Oklahoma Survivors: Wife, Libby; son, Bryan To recognize your late loved one or colleague, submit obituary information

INTERRELATION OF PRIONS WITH NON-CODING RNAS

Prions are alternative infectious conformations for some cellular proteins. For the protein PrPC(PrP – prion protein, С – common), a prion conformation, called PrPSc(S – scrapie), is pathological. For example, in mammals the PrPScprion causes transmissible spongiform encephalopathies accumulating in the brain tissues of PrPScaggregates that have amyloid properties. MicroRNAs and long non-coding RNAs can be translated into functional peptides. These peptides can have a regulatory effect on genes from which their non-coding RNAs are transcribed. It has been assumed that prions, like peptides, due to the presence of specific domains, can also activate certain non-coding RNAs. Some of the activated non-coding RNAs can catalyze the formation of new prions from normal protein, playing their role in the pathogenesis of prion diseases. Confirmation of this assumption is the presence of the association of alleles of microRNA with the development of the disease, which indicates the role of the specific sequences of noncoding RNAs in the catalysis of prion formation. In the brain tissues of patients with prion diseases, as well as in exosomes containing an abnormal PrPScisoform, changes in the levels of microRNA have been observed. A possible cause is the interaction of the spatial domains of PrPScwith the sequences of the non-coding RNA genes, which causes a change in their expression. MicroRNAs, in turn, affect the synthesis of long non-coding RNAs. We hypothesize that long noncoding RNAs and possibly microRNAs can interact with PrPCcatalyzing its transformation into PrPSc. As a result, the number of PrPScincreases exponentially. In the brain of animals and humans, transposon activity has been observed, which has a regulatory effect on the differentiation of neuronal stem cells. Transposons form the basis of domain structures of long non-coding RNAs. In addition, they are important sources of microRNA. Since prion diseases can arise as sporadic and hereditary cases, and hereditary predisposition is important for the development of pathology, we hypothesize the role of individual features of activation of transposons in the pathogenesis of prion diseases. The activation of transposons in the brain at certain stages of development, as well as under the influence of stress, is reflected in the peculiarities of expression of specific non-coding RNAs that are capable of catalyzing the transition of the PrPCprotein to PrPSc. Research in this direction can be the basis for targeted anti-microRNA therapy of prion diseases.

The ensemble diversity of non-coding RNA structure is lower than random sequence.

In addition to energetically optimal structures, RNAs can fold into near energy suboptimal conformations that may be populated and play functional roles. The diversity of this structural ensemble can be estimated using a metric derived from the calculated RNA partition function: the ensemble diversity. In this report, 10 classes of functional RNAs were analyzed: the 5.8S and 5S rRNAs, ribozyme, RNase P, snoRNA, snRNA, SRP RNA, tmRNA, Vault RNA and Y RNA. Representative sequences from each class were mutagenized in two ways: firstly, all possible point mutations were generated and secondly, wild type sequences were randomized to generate multiple scrambled mutants. Compared to the mutants, the native RNA ensemble diversity was predicted to be lower. This finding held true when all available sequences (378,455 sequences) for each RNA class (archived in the RNAcentral database) were analyzed. This suggests that a compact structural ensemble is an evolved characteristic of functional RNAs.

MicroRNAs in Neurodegeneration: Current Findings and Potential Impacts.

Significant advancements have been made in unraveling and understanding the non-coding elements of the human genome. New insights into the structure and function of noncoding RNAs have emerged. Their relevance in the context of both physiological cellular homeostasis and human diseases is getting appreciated. As a result, exploration of noncoding RNAs, in particular microRNAs (miRs), as therapeutic agents or targets of therapeutic strategies is under way. This review summarizes and discusses in depth the current literature on the role of miRs in neurodegenerative diseases.

New Challenge: Mitochondrial Epigenetics?

Epigenetics can be explored at different levels and can be divided into two major areas: epigenetics of nuclear-encoded DNA and epigenetics of mitochondrial-encoded DNA. In epigenetics of nuclear-encoded DNA, the main roles are played by DNA methylation, changes in histone structure and several types of non-coding RNAs. Mitochondrial epigenetics seems to be similar in the aspect of DNA methylation and to some extent in the role of non-coding RNAs but differs significantly in changes in components coiling DNA. Nuclear DNA is coiled around histones, but mitochondrial DNA, together with associated proteins, is located in mitochondrial pseudocompartments called nucleoids. It has been shown that mitochondrial epigenetic mechanisms influence cell fate, transcription regulation, cell division, cell cycle, physiological homeostasis, bioenergetics and even pathologies, but not all of these mechanisms have been explored in stem cells. The main issue is that most of these mechanisms have only recently been discovered in mitochondria, while improvements in methodology, especially next-generation sequencing, have enabled in-depth studies. Because studies exploring mitochondria from other aspects show that mitochondria are crucial for the normal behavior of stem cells, it is suggested that precise mitochondrial epigenetics in stem cells should be studied more intensively.

Visualization of RNA structure models within the Integrative Genomics Viewer.

Analyses of the interrelationships between RNA structure and function are increasingly important components of genomic studies. The SHAPE-MaP strategy enables accurate RNA structure probing and realistic structure modeling of kilobase-length noncoding RNAs and mRNAs. Existing tools for visualizing RNA structure models are not suitable for efficient analysis of long, structurally heterogeneous RNAs. In addition, structure models are often advantageously interpreted in the context of other experimental data and gene annotation information, for which few tools currently exist. We have developed a module within the widely used and well supported open-source Integrative Genomics Viewer (IGV) that allows visualization of SHAPE and other chemical probing data, including raw reactivities, data-driven structural entropies, and data-constrained base-pair secondary structure models, in context with linear genomic data tracks. We illustrate the usefulness of visualizing RNA structure in the IGV by exploring structure models for a large viral RNA genome, comparing bacterial mRNA structure in cells with its structure under cell- and protein-free conditions, and comparing a noncoding RNA structure modeled using SHAPE data with a base-pairing model inferred through sequence covariation analysis.