MicroRNAs silence mRNAs by guiding the RISC complex. RISC assembly occurs following cleavage of pre-miRNAs by Dicer, assisted by TRBP or PACT, and the transfer of miRNAs to AGO proteins. The R2TP complex is an HSP90 co-chaperone involved in the assembly of ribonucleoprotein particles. Here, we show that the R2TP component RPAP3 binds TRBP but not PACT. The RPAP3-TPR1 domain interacts with the TRBP-dsRBD3, and the 1.5 Å resolution crystal structure of this complex identifies key residues involved in the interaction. Remarkably, binding of TRBP to RPAP3 or Dicer is mutually exclusive. Additionally, we found that AGO(1/2), TRBP and Dicer are all sensitive to HSP90 inhibition, and that TRBP sensitivity is increased in the absence of RPAP3. Finally, RPAP3 seems to impede miRNA activity, raising the possibility that the R2TP chaperone might sequester TRBP to regulate the miRNA pathway.

Detection of RNA modified nucleotides using deep sequencing can be performed by several approaches, including antibody-driven enrichment and natural or chemically induced RT signatures. However, only very few RNA modified nucleotides generate natural RT signatures and antibody-driven enrichment heavily depends on the quality of antibodies used and may be highly biased. Thus, the use of chemically-induced RT signatures is now considered as the most trusted experimental approach. In addition, the use of chemical reagents allows inclusion of simple "mock-treated" controls, to exclude spontaneous RT arrests, SNPs and other misincorporation-prone sites. Hydrazine is a well-known RNA-specific reagent, already extensively used in the past for RNA sequencing and structural probing. Hydrazine is highly reactive to U and shows low reaction rates with ψ residues, allowing their distinction by deep sequencing-based protocols. However, other modified RNA residues also show particular behavior upon hydrazine treatment. Here we present methodological developments allowing to use HydraPsiSeq for precise quantification of RNA pseudouridylation and also detection and quantification of some other RNA modifications, in addition to ψ residues.

Long non-coding RNAs have emerged as critical regulators of cell homeostasis by modulating gene expression at chromatin level for instance. Here, we report that the lncRNA ANRIL, associated with several pathologies, binds to thousands of loci dispersed throughout the mammalian genome sharing a 21-bp motif enriched in G/A residues. By combining ANRIL genomic occupancy with transcriptomic analysis, we established a list of 65 and 123 genes potentially directly activated and silenced by ANRIL in trans, respectively. We also found that Exon8 of ANRIL, mainly made of transposable elements, contributes to ANRIL genomic association and consequently to its trans-activity. Furthermore, we showed that Exon8 favors ANRIL's association with the FIRRE, TPD52L1 and IGFBP3 loci to modulate their expression through H3K27me3 deposition. We also investigated the mechanisms engaged by Exon8 to favor ANRIL's association with the genome. Our data refine ANRIL's trans-activity and highlight the functional importance of TEs on ANRIL's activity.

Precise and reliable mapping of modified nucleotides in RNA is a challenging task in epitranscriptomics analysis. Only deep sequencing-based methods are able to provide both, a single-nucleotide resolution and sufficient selectivity and sensitivity. A number of protocols employing specific chemical reagents to distinguish modified RNA nucleotides from canonical parental residues have already proven their performance. We developed a deep-sequencing analytical pipeline for simultaneous detection of several modified nucleotides of different nature (methylation, hydroxylation, reduction) in RNA. The AlkAniline-Seq protocol uses intrinsic fragility of the N-glycosidic bond present in certain modified residues (7-methylguanosine (m7G), 3-methylcytidine (m3C), dihydrouridine (D) and 5-hydroxycytidine (ho5C)) to induce cleavage under heat combined with alkaline conditions. The resulting RNA abasic site is decomposed by aniline-driven β-elimination and creates a 5'-phosphate (5'-P) at the adjacent N+1 residue. This 5'-P is the crucial entry point for a highly selective ligation of sequencing adapters during the subsequent Illumina library preparation protocol. AlkAniline-Seq protocol has a very low background, and is both highly sensitive and specific. Applications of AlkAniline-Seq include mapping of m7G, m3C, D, and ho5C in variety of cellular RNAs, including in particular rRNAs and tRNAs.

Recent advances in high-throughput sequencing have shed new light on the diversity of small noncoding RNA (sncRNA) classes and their crucial roles in gene regulation and disease. One key step in sncRNA profiling consists in their quantification and assessment of their degradation extent. In this chapter, we will describe different gold standard methods used to achieve both purposes before using the sncRNAs in downstream applications.

Precipitation is a critical step to recover RNA of high purity. This chapter describes the principles of alcoholic precipitation as well as a standard, basic protocol with key advices to observe, but numerous variations on the theme are discussed. Indeed, several important parameters, such as the choice of salt, alcohol, or carrier, have to be considered to improve the efficiency of precipitation and the yield of RNA recovery.

Epitranscriptomics is an emerging field where the development of high-throughput analytical technologies is essential to profile the dynamics of RNA modifications under different conditions. Despite important advances during the last 10 years, the number of RNA modifications detectable by next-generation sequencing is restricted to a very limited subset. Here, we describe a highly efficient and fast method called AlkAniline-Seq to map simultaneously two different RNA modifications: 7-methyl-guanosine (m(7)G) and 3-methyl-cytosine (m(3)C) in RNA. Our protocol is based on three subsequent chemical/enzymatic steps allowing the enrichment of RNA fragments ending at position n + 1 to the modified nucleotide, without any prior RNA selection. Therefore, AlkAniline-Seq demonstrates an outstanding sensitivity and specificity for these two RNA modifications. We have validated AlkAniline-Seq using bacterial, yeast, and human total RNA, and here we present, as an example, a synthetic view of the complete profiling of these RNA modifications in S. cerevisiae tRNAs.

Abstract Developing methods for accurate detection of RNA modifications remains a major challenge in epitranscriptomics. Next-generation sequencing-based mapping approaches have recently emerged but, often, they are not quantitative and lack specificity. Pseudouridine (ψ), produced by uridine isomerization, is one of the most abundant RNA modification. ψ mapping classically involves derivatization with soluble carbodiimide (CMCT), which is prone to variation making this approach only semi-quantitative. Here, we developed ‘HydraPsiSeq’, a novel quantitative ψ mapping technique relying on specific protection from hydrazine/aniline cleavage. HydraPsiSeq is quantitative because the obtained signal directly reflects pseudouridine level. Furthermore, normalization to natural unmodified RNA and/or to synthetic in vitro transcripts allows absolute measurements of modification levels. HydraPsiSeq requires minute amounts of RNA (as low as 10–50 ng), making it compatible with high-throughput profiling of diverse biological and clinical samples. Exploring the potential of HydraPsiSeq, we profiled human rRNAs, revealing strong variations in pseudouridylation levels at ∼20–25 positions out of total 104 sites. We also observed the dynamics of rRNA pseudouridylation throughout chondrogenic differentiation of human bone marrow stem cells. In conclusion, HydraPsiSeq is a robust approach for the systematic mapping and accurate quantification of pseudouridines in RNAs with applications in disease, aging, development, differentiation and/or stress response.

2'-O-Methylation (Nm) represents one of the most common RNA modifications. Nm affects RNA structure and function with crucial roles in various RNA-mediated processes ranging from RNA silencing, translation, self versus non-self recognition to viral defense mechanisms. Here, we identify two Nm methyltransferases (Nm-MTases) in Drosophila melanogaster(CG7009 and CG5220) as functional orthologs of yeast TRM7 and human FTSJ1. Genetic knockout studies together with MALDI-TOF mass spectrometry and RiboMethSeq mapping revealed that CG7009 is responsible for methylating the wobble position in tRNA(Phe), tRNA(Trp) and tRNA(Leu), while CG5220 methylates position C32 in the same tRNAs and also targets additional tRNAs. CG7009 or CG5220 mutant animals were viable and fertile but exhibited various phenotypes such as lifespan reduction, small RNA pathways dysfunction and increased sensitivity to RNA virus infections. Our results provide the first detailed characterization of two TRM7 family members in Drosophila and uncover a molecular link between enzymes catalyzing Nm at specific tRNAs and small RNA-induced gene silencing pathways.

Abstract U3 snoRNA and the associated Rrp9/U3-55K protein are essential for 18S rRNA production by the SSU-processome complex. U3 and Rrp9 are required for early pre-rRNA cleavages at sites A0, A1 and A2, but the mechanism remains unclear. Substitution of Arg 289 in Rrp9 to Ala (R289A) specifically reduced cleavage at sites A1 and A2. Surprisingly, R289 is located on the surface of the Rrp9 β-propeller structure opposite to U3 snoRNA. To understand this, we first characterized the protein-protein interaction network of Rrp9 within the SSU-processome. This identified a direct interaction between the Rrp9 β-propeller domain and Rrp36, the strength of which was reduced by the R289A substitution, implicating this interaction in the observed processing phenotype. The Rrp9 R289A mutation also showed strong synergistic negative interactions with mutations in U3 that destabilize the U3/pre-rRNA base-pair interactions or reduce the length of their linking segments. We propose that the Rrp9 β-propeller and U3/pre-rRNA binding cooperate in the structure or stability of the SSU-processome. Additionally, our analysis of U3 variants gave insights into the function of individual segments of the 5′-terminal 72-nt sequence of U3. We interpret these data in the light of recently reported SSU-processome structures.

Abstract RNA modifications are a well-recognized way of gene expression regulation at the post-transcriptional level. Despite the importance of this level of regulation, current knowledge on modulation of tRNA modification status in response to stress conditions is far from being complete. While it is widely accepted that tRNA modifications are rather dynamic, such variations are mostly assessed in terms of total tRNA, with only a few instances where changes could be traced to single isoacceptor species. Using Escherichia coli as a model system, we explored stress-induced modulation of 2′-O-methylations in tRNAs by RiboMethSeq. This analysis and orthogonal analytical measurements by LC-MS show substantial, but not uniform, increase of the Gm18 level in selected tRNAs under mild bacteriostatic antibiotic stress, while other Nm modifications remain relatively constant. The absence of Gm18 modification in tRNAs leads to moderate alterations in E. coli mRNA transcriptome, but does not affect polysomal association of mRNAs. Interestingly, the subset of motility/chemiotaxis genes is significantly overexpressed in ΔTrmH mutant, this corroborates with increased swarming motility of the mutant strain. The stress-induced increase of tRNA Gm18 level, in turn, reduced immunostimulation properties of bacterial tRNAs, which is concordant with the previous observation that Gm18 is a suppressor of Toll-like receptor 7 (TLR7)-mediated interferon release. This documents an effect of stress induced modulation of tRNA modification that acts outside protein translation.

ABSTRACT MicroRNAs silence mRNAs by guiding the RISC complex. RISC assembly requires cleavage of pre-miRNAs by Dicer, assisted by TRBP or PACT, and the transfer of miRNAs to AGO proteins. The R2TP complex is an HSP90 cochaperone involved in the assembly of ribonucleoprotein particles. Here, we show that the R2TP component RPAP3 binds TRBP but not PACT. Specifically, the RPAP3-TPR1 domain interacts with the TRBP-dsRBD3 and the 1.5 Å resolution crystal structure of this complex is presented. We identify key residues involved in the interaction and show that binding of TRBP to RPAP3 or Dicer is mutually exclusive. In contrast, RPAP3 can simultaneously bind TRBP and HSP90. Interestingly, AGOs and Dicer are sensitive to HSP90 inhibition and TRBP becomes sensitive in absence of RPAP3. These data indicate that the HSP90/R2TP chaperone is an important cofactor of proteins involved in dsRNA pathways.

[This corrects the article DOI: 10.1093/narcan/zcaa036.].

A major trend in the epitranscriptomics field over the last 5 years has been the high-throughput analysis of RNA modifications by a combination of specific chemical treatment(s), followed by library preparation and deep sequencing. Multiple protocols have been described for several important RNA modifications, such as 5-methylcytosine (m5C), pseudouridine (ψ), 1-methyladenosine (m1A), and 2′-O-methylation (Nm). One commonly used method is the alkaline cleavage-based RiboMethSeq protocol, where positions of reads' 5'-ends are used to distinguish nucleotides protected by ribose methylation. This method was successfully applied to detect and quantify Nm residues in various RNA species such as rRNA, tRNA, and snRNA. Such applications require adaptation of the initially published protocol(s), both at the wet bench and in the bioinformatics analysis. In this manuscript, we describe the optimization of RiboMethSeq bioinformatics at the level of initial read treatment, alignment to the reference sequence, counting the 5′- and 3′- ends, and calculation of the RiboMethSeq scores, allowing precise detection and quantification of the Nm-related signal. These improvements introduced in the original pipeline permit a more accurate detection of Nm candidates and a more precise quantification of Nm level variations. Applications of the improved RiboMethSeq treatment pipeline for different cellular RNA types are discussed.

2’-O-methylation (Nm) represents one of the most common RNA modifications. Nm affects RNA structure and function with crucial roles in various RNA-mediated processes ranging from RNA silencing, translation, self versus non-self recognition to viral defense mechanisms. Here, we identify two novel Nm methyltransferases (Nm-MTases) in Drosophila melanogaster (CG7009 and CG5220) as functional orthologs of yeast TRM7 and human FTSJ1, respectively. Genetic knockout studies together with MALDI-TOF mass spectrometry and RiboMethSeq mapping revealed that CG7009 is responsible for methylating the wobble position in tRNA Phe , tRNA Trp and tRNA Leu , while subsequently, CG5220 methylates position C32 in the same tRNAs and targets also additional tRNAs. CG7009 or CG5220 mutant animals were viable and fertile but exhibited various phenotypes such as life span reduction, small RNA pathways dysfunction and increased sensitivity to RNA virus infections. Our results provide the first detailed characterization of two TRM7 family members in Drosophila and uncover a molecular link between enzymes catalysing Nm at specific tRNAs and small RNA-induced gene silencing pathways.

RNA modifications play essential roles in gene expression regulation. Only seven out of >150 known RNA modifications are detectable transcriptome-wide by deep sequencing. Here we describe a new principle of RNAseq library preparation, which relies on a chemistry based positive enrichment of reads in the resulting libraries, and therefore leads to unprecedented signal-to-noise ratios. The proposed approach eschews conventional RNA sequencing chemistry and rather exploits the generation of abasic sites and subsequent aniline cleavage. The newly generated 5-phosphates are used as unique entry for ligation of an adapter in library preparation. This positive selection, embodied in the AlkAniline-Seq, enables a deep sequencing-based technology for the simultaneous detection of 7-methylguanosine (m(7)G) and 3-methylcytidine (m(3)C) in RNA at single nucleotide resolution. As a proof-of-concept, we used AlkAniline-Seq to comprehensively validate known m(7)G and m(3)C sites in bacterial, yeast, and human cytoplasmic and mitochondrial tRNAs and rRNAs, as well as for identifying previously unmapped positions.

Automated SynthesisIn their Communication on page 16638 ff., P. G. Wang, L. Wene tal.present an automated system based on enzymatic glycosylation for oligosaccharide synthesis.T he system is implemented using a thermosensitive polymer and ap eptide synthesizer. Boronic EstersA. Studer and co-workers report at ransitionmetal-free radical borylation of alkyl and aryl iodides in their Communication on page 16832 ff.Initiation of the radical chain reaction is best achieved with blue light.

AbstractRNA modifications play essential roles in gene expression regulation. Only seven out of >150 known RNA modifications are detectable transcriptome‐wide by deep sequencing. Here we describe a new principle of RNAseq library preparation, which relies on a chemistry based positive enrichment of reads in the resulting libraries, and therefore leads to unprecedented signal‐to‐noise ratios. The proposed approach eschews conventional RNA sequencing chemistry and rather exploits the generation of abasic sites and subsequent aniline cleavage. The newly generated 5′‐phosphates are used as unique entry for ligation of an adapter in library preparation. This positive selection, embodied in the AlkAniline‐Seq, enables a deep sequencing‐based technology for the simultaneous detection of 7‐methylguanosine (m7G) and 3‐methylcytidine (m3C) in RNA at single nucleotide resolution. As a proof‐of‐concept, we used AlkAniline‐Seq to comprehensively validate known m7G and m3C sites in bacterial, yeast, and human cytoplasmic and mitochondrial tRNAs and rRNAs, as well as for identifying previously unmapped positions.