QUADRatlas: the RNA G-quadruplex and RG4-binding proteins database.

RNA G-quadruplexes (RG4s) are non-canonical, disease-associated post-transcriptional regulators of gene expression whose functions are driven by RNA-binding proteins (RBPs). Being able to explore transcriptome-wide RG4 formation and interaction with RBPs is thus paramount to understanding how they are regulated and exploiting them as potential therapeutic targets. Towards this goal, we present QUADRatlas (https://rg4db.cibio.unitn.it), a database of experimentally-derived and computationally predicted RG4s in the human transcriptome, enriched with biological function and disease associations. As RBPs are key to their function, we mined known interactions of RG4s with such proteins, complemented with an extensive RBP binding sites dataset. Users can thus intersect RG4s with their potential regulators and effectors, enabling the formulation of novel hypotheses on RG4 regulation, function and pathogenicity. To support this capability, we provide analysis tools for predicting whether an RBP can bind RG4s, RG4 enrichment in a gene set, and de novo RG4 prediction. Genome-browser and table views allow exploring, filtering, and downloading the data quickly for individual genes and in batch. QUADRatlas is a significant step forward in our ability to understand the biology of RG4s, offering unmatched data content and enabling the integrated analysis of RG4s and their interactions with RBPs.

Translational enhancement by base editing of the Kozak sequence rescues haploinsufficiency.

A variety of single-gene human diseases are caused by haploinsufficiency, a genetic condition by which mutational inactivation of one allele leads to reduced protein levels and functional impairment. Translational enhancement of the spare allele could exert a therapeutic effect. Here we developed BOOST, a novel gene-editing approach to rescue haploinsufficiency loci by the change of specific single nucleotides in the Kozak sequence, which controls translation by regulating start codon recognition. We evaluated for translational strength 230 Kozak sequences of annotated human haploinsufficient genes and 4621 derived variants, which can be installed by base editing, by a high-throughput reporter assay. Of these variants, 149 increased the translation of 47 Kozak sequences, demonstrating that a substantial proportion of haploinsufficient genes are controlled by suboptimal Kozak sequences. Validation of 18 variants for 8 genes produced an average enhancement in an expression window compatible with the rescue of the genetic imbalance. Base editing of the NCF1 gene, whose monoallelic loss causes chronic granulomatous disease, resulted in the desired increase of NCF1 (p47phox) protein levels in a relevant cell model. We propose BOOST as a fine-tuned approach to modulate translation, applicable to the correction of dozens of haploinsufficient monogenic disorders independently of the causing mutation.

MODOMICS: a database of RNA modification pathways. 2021 update.

The MODOMICS database has been, since 2006, a manually curated and centralized resource, storing and distributing comprehensive information about modified ribonucleosides. Originally, it only contained data on the chemical structures of modified ribonucleosides, their biosynthetic pathways, the location of modified residues in RNA sequences, and RNA-modifying enzymes. Over the years, prompted by the accumulation of new knowledge and new types of data, it has been updated with new information and functionalities. In this new release, we have created a catalog of RNA modifications linked to human diseases, e.g., due to mutations in genes encoding modification enzymes. MODOMICS has been linked extensively to RCSB Protein Data Bank, and sequences of experimentally determined RNA structures with modified residues have been added. This expansion was accompanied by including nucleotide 5'-monophosphate residues. We redesigned the web interface and upgraded the database backend. In addition, a search engine for chemically similar modified residues has been included that can be queried by SMILES codes or by drawing chemical molecules. Finally, previously available datasets of modified residues, biosynthetic pathways, and RNA-modifying enzymes have been updated. Overall, we provide users with a new, enhanced, and restyled tool for research on RNA modification. MODOMICS is available at https://iimcb.genesilico.pl/modomics/.

A mark of disease: how mRNA modifications shape genetic and acquired pathologies.

RNA modifications have recently emerged as a widespread and complex facet of gene expression regulation. Counting more than 170 distinct chemical modifications with far-reaching implications for RNA fate, they are collectively referred to as the epitranscriptome. These modifications can occur in all RNA species, including messenger RNAs (mRNAs) and noncoding RNAs (ncRNAs). In mRNAs the deposition, removal, and recognition of chemical marks by writers, erasers and readers influence their structure, localization, stability, and translation. In turn, this modulates key molecular and cellular processes such as RNA metabolism, cell cycle, apoptosis, and others. Unsurprisingly, given their relevance for cellular and organismal functions, alterations of epitranscriptomic marks have been observed in a broad range of human diseases, including cancer, neurological and metabolic disorders. Here, we will review the major types of mRNA modifications and editing processes in conjunction with the enzymes involved in their metabolism and describe their impact on human diseases. We present the current knowledge in an updated catalog. We will also discuss the emerging evidence on the crosstalk of epitranscriptomic marks and what this interplay could imply for the dynamics of mRNA modifications. Understanding how this complex regulatory layer can affect the course of human pathologies will ultimately lead to its exploitation toward novel epitranscriptomic therapeutic strategies.

Therapeutic strategies to target the epitranscriptomic machinery.

Altered RNA modification patterns and dysregulated expression of epitranscriptomic machinery proteins (EMPs) have been causatively correlated with several diseases. Modulation of EMP gene expression has shown promise in reversing disease-associated phenotypes, making EMPs attractive therapeutic targets. Various therapeutic strategies, including small-molecule modulators, proteolysis-targeting chimeras, and molecular tools for site-specific engineering of RNA modifications, have been introduced to modulate EMPs and RNA modifications themselves and are currently being investigated to enrich the physician's armamentarium. At the forefront of research are small-molecule inhibitors of the key players involved in the N6-methyladenosine RNA modification, with an inhibitor of methyltransferase 3 in clinical trials. Preclinical studies have also demonstrated proof-of-concept for the other approaches, raising expectations for this exciting new frontier of therapy.

The three YTHDF paralogs and VIRMA are strong cross-histotype tumor driver candidates among m6A core genes.

N6-Methyladenosine (m6A) is the most abundant internal modification in mRNAs. Despite accumulating evidence for the profound impact of m6A on cancer biology, there are conflicting reports that alterations in genes encoding the m6A machinery proteins can either promote or suppress cancer, even in the same tumor type. Using data from The Cancer Genome Atlas, we performed a pan-cancer investigation of 15 m6A core factors in nearly 10000 samples from 31 tumor types to reveal underlying cross-tumor patterns. Altered expression, largely driven by copy number variations at the chromosome arm level, results in the most common mode of dysregulation of these factors. YTHDF1, YTHDF2, YTHDF3 and VIRMA are the most frequently altered factors and the only ones to be uniquely altered when tumors are grouped according to the expression pattern of the m6A factors. These genes are also the only ones with coherent, pan-cancer predictive power for progression-free survival. On the contrary, METTL3, the most intensively studied m6A factor as a cancer target, shows much lower levels of alteration and no predictive power for patient survival. Therefore, we propose the non-enzymatic YTHDF and VIRMA genes as preferred subjects to dissect the role of m6A in cancer and as priority cancer targets.

Alpha-1 Adrenergic Antagonists Sensitize Neuroblastoma to Therapeutic Differentiation.

Neuroblastoma (NB) is an aggressive childhood tumor, with high-risk cases having a 5-year overall survival probability of approximately 50%. The multimodal therapeutic approach for NB includes treatment with the retinoid isotretinoin (13-cis retinoic acid; 13cRA), which is used in the post-consolidation phase as an antiproliferation and prodifferentiation agent to minimize residual disease and prevent relapse. Through small-molecule screening, we identified isorhamnetin (ISR) as a synergistic compound with 13cRA in inhibiting up to 80% of NB cell viability. The synergistic effect was accompanied by a marked increase in the expression of the adrenergic receptor α1B (ADRA1B) gene. Genetic knockout of ADRA1B or its specific blockade using α1/α1B adrenergic antagonists led to selective sensitization of MYCN-amplified NB cells to cell viability reduction and neural differentiation induced by 13cRA, thus mimicking ISR activity. Administration of doxazosin, a safe α1-antagonist used in pediatric patients, in combination with 13cRA in NB xenografted mice exerted marked control of tumor growth, whereas each drug alone was ineffective. Overall, this study identified the α1B adrenergic receptor as a pharmacologic target in NB, supporting the evaluation of adding α1-antagonists to the post-consolidation therapy of NB to more efficiently control residual disease. SIGNIFICANCE: Targeting α-adrenergic receptors synergizes with isotretinoin to suppress growth and to promote differentiation of neuroblastoma, revealing a combinatorial approach for more effective management of the disease and prevention of relapse.

Introduction to Bioinformatics Resources for Post-transcriptional Regulation of Gene Expression.

Untranslated regions of mRNA (UTRs) are involved in defining the fate of the transcript through processes such as mRNA localization, degradation, translation initiation regulation, and several others: the action of trans-factors such as RNA-binding proteins and non-coding RNAs, combined with the presence of defined sequence and structural cis-elements, ultimately determines protein synthesis levels. Identifying functional regions in UTRs and uncovering post-transcriptional regulators acting upon these is thus of paramount importance to understand this regulatory layer: these tasks can now be approached computationally to reduce the testable hypothesis space and drive the experimental validation in a more effective way.This chapter will focus on presenting databases and tools allowing to study the various aspects of post-transcriptional regulation, including the profiling of actively translated mRNAs, regulatory network analysis (e.g., RBP and ncRNA binding sites), trans-factor binding sites prediction, motif search (sequence and secondary structure), and other aspects of this regulatory layer: two potential analysis pipelines are also presented as practical examples of how these tools could be integrated and effectively employed.