Prediction of structured non-coding RNAs in the genomes of the nematodes Caenorhabditis elegans and Caenorhabditis briggsae

We present a survey for non-coding RNAs and other structured RNA motifs in the genomes of Caenorhabditis elegans and Caenorhabditis briggsae using the RNAz program. This approach explicitly evaluates comparative sequence information to detect stabilizing selection acting on RNA secondary structure. We detect 3,672 structured RNA motifs, of which only 678 are known non-translated RNAs (ncRNAs) or clear homologs of known C. elegans ncRNAs. Most of these signals are located in introns or at a distance from known protein-coding genes. With an estimated false positive rate of about 50% and a sensitivity on the order of 50%, we estimate that the nematode genomes contain between 3,000 and 4,000 RNAs with evolutionary conserved secondary structures. Only a small fraction of these belongs to the known RNA classes, including tRNAs, snoRNAs, snRNAs, or microRNAs. A relatively small class of ncRNA candidates is associated with previously observed RNA-specific upstream elements.     

Identification of small non-coding RNAs from mitochondria and chloroplasts

Small non-protein-coding RNAs (ncRNAs) have been identified in a wide spectrum of organisms ranging from bacteria to humans. In eukarya, systematic searches for ncRNAs have so far been restricted to the nuclear or cytosolic compartments of cells. Whether or not small stable non-coding RNA species also exist in cell organelles, in addition to tRNAs or ribosomal RNAs, is unknown. We have thus generated cDNA libraries from size-selected mammalian mitochondrial RNA and plant chloroplast RNA and searched for small ncRNA species in these two types of DNA-containing cell organelles. In total, we have identified 18 novel candidates for organellar ncRNAs in these two cellular compartments and confirmed expression of six of them by northern blot analysis or RNase A protection assays. Most candidate ncRNA genes map to intergenic regions of the organellar genomes. As found previously in bacteria, the presumptive ancestors of present-day chloroplasts and mitochondria, we also observed examples of antisense ncRNAs that potentially could target organelle-encoded mRNAs. The structural features of the identified ncRNAs as well as their possible cellular functions are discussed. The absence from our libraries of abundant small RNA species that are not encoded by the organellar genomes suggests that the import of RNAs into cell organelles is of very limited significance or does not occur at all.     

CoRAL: predicting non-coding RNAs from small RNA-sequencing data

The surprising observation that virtually the entire human genome is transcribed means we know little about the function of many emerging classes of RNAs, except their astounding diversities. Traditional RNA function prediction methods rely on sequence or alignment information, which are limited in their abilities to classify the various collections of non-coding RNAs (ncRNAs). To address this, we developed Classification of RNAs by Analysis of Length (CoRAL), a machine learning-based approach for classification of RNA molecules. CoRAL uses biologically interpretable features including fragment length and cleavage specificity to distinguish between different ncRNA populations. We evaluated CoRAL using genome-wide small RNA sequencing data sets from four human tissue types and were able to classify six different types of RNAs with ∼80% cross-validation accuracy. Analysis by CoRAL revealed that microRNAs, small nucleolar and transposon-derived RNAs are highly discernible and consistent across all human tissue types assessed, whereas long intergenic ncRNAs, small cytoplasmic RNAs and small nuclear RNAs show less consistent patterns. The ability to reliably annotate loci across tissue types demonstrates the potential of CoRAL to characterize ncRNAs using small RNA sequencing data in less well-characterized organisms.     

Novel small RNA-encoding genes in the intergenic regions of Bacillus subtilis

Small, non-coding RNAs (ncRNAs) perform diverse functions in a variety of organisms, but few ncRNAs have been identified in Bacillus subtilis. To search the B. subtilis genome for genes encoding ncRNAs, we focused on 123 intergenic regions (IGRs) over 500 bp in length and analyzed expression from these regions. Seven IGRs termed bsrC, bsrD, bsrE, bsrF, bsrG, bsrH and bsrI expressed RNAs smaller than 380 nt. All small RNAs except BsrD RNA were expressed in transformed Escherichia coli cells harboring a plasmid with PCR-amplified IGRs of B. subtilis, indicating that their own promoters independently express small RNAs. Under the non-stressed condition, depletion of the genes for the small RNAs did not affect growth. Although their functions are unknown, gene expression profiles at several time points showed that most of the genes except for bsrD were expressed during the vegetative phase (4-6 h), but undetectable during the stationary phase (8 h). Mapping the 5' ends of the 6 small RNAs revealed that the genes for BsrE, BsrF, BsrG, BsrH, and BsrI RNAs are preceded by a recognition site for RNA polymerase sigma factor sigma(A). These small RNAs might lack an SD sequence and exert their actions as ncRNAs.     

Novel non-coding RNAs in Dictyostelium discoideum and their expression during development

The quest for non-coding RNAs (ncRNAs) in the last few years has revealed a surprisingly large number of small RNAs belonging to previously known as well as entirely novel classes. Computational and experimental approaches have uncovered new ncRNAs in all kingdoms of life. In this work, we used a shotgun cloning approach to construct full-length cDNA libraries of small RNAs from the eukaryotic model organism Dictyostelium discoideum. Interestingly, two entirely novel classes of RNAs were identified of which one is developmentally regulated. The RNAs within each class share conserved 5'- and 3'-termini that can potentially form stem structures. RNAs of both classes show predominantly cytoplasmic localization. In addition, based on conserved structure and/or sequence motifs, several of the identified ncRNAs could be divided into classes known from other organisms, e.g. 18 small nucleolar RNA candidates (17 box C/D, of which a few are developmentally regulated, and one box H/ACA). Two ncRNAs showed a high degree of similarity to the small nuclear U2 RNA and signal recognition particle RNA (SRP RNA), respectively. Furthermore, the majority of the regions upstream of the sequences encoding the isolated RNAs share conserved motifs that may constitute new promoter elements.     

Lesser known relatives of miRNA

Since the discovery of RNAi (RNA interference) major attention has focused on studying miRNA (microRNA) and siRNA (small interfering RNA). However, within the last few years, several other small ncRNAs (non-coding RNAs) have been discovered and thus various newer acronyms representing these ‘other’ classes of small ncRNAs have populated the literature. Of these, piRNA (Piwi-interacting RNA) has been gaining importance because of its role as the guardian of the germline genome. Some of the other newly discovered small ncRNAs have been mostly reported in plants, and they are yet to be studied more comprehensively. Nevertheless, piRNA and the ‘other’ small ncRNAs deserve some discussion because they are members of the increasingly large family of small ncRNAs.     

Unlocking the potential of non-coding RNAs in cancer research and therapy

Non-coding RNAs (ncRNAs) have emerged as key regulators of gene expression, with growing evidence implicating their involvement in cancer development and progression. The potential of ncRNAs as diagnostic and prognostic biomarkers for cancer is promising, with emphasis on their use in liquid biopsy and tissue-based diagnostics. In a nutshell, the review comprehensively summarizes the diverse classes of ncRNAs implicated in cancer, including microRNAs, long non-coding RNAs, and circular RNAs, and their functions and mechanisms of action. Furthermore, we describe the potential therapeutic applications of ncRNAs, including anti-miRNA oligonucleotides, siRNAs, and other RNA-based therapeutics in cancer treatment. However, significant challenges remain in developing effective ncRNA-based diagnostics and therapeutics, including the lack of specificity, limited understanding of mechanisms, and delivery challenges. This review also covers the current state-of-the-art non-coding RNA research technologies and bioinformatic analysis tools. Lastly, we outline future research directions in non-coding RNA research in cancer, including developing novel biomarkers, therapeutic targets, and modalities. In summary, this review provides a comprehensive understanding of non-coding RNAs in cancer and their potential clinical applications, highlighting both the opportunities and challenges in this rapidly evolving field.