Biology subjects

Fafard-Couture, E.

Publications and source records attributed to Fafard-Couture, E..

5 recordsLinked to original sources

bioRxiv2026

A ribosomal pseudouridine drives an oncogenic translation program

Dynamic ribosome heterogeneity has emerged as a potential layer of translational regulation, but whether variation in ribosomal RNA (rRNA) modification stoichiometry can selectively control the translation of mRNAs with shared encoded features remains unclear. Here we show that SNORA81-guided pseudouridylation at U4636 controls a selective translational program in ovarian cancer cells. U4636 is partially pseudouridylated and lies within 28S rRNA near eL31 and the peptide exit tunnel. Depletion of SNORA81 reduces pseudouridylation at U4636 without broadly perturbing rRNA processing or bulk translation. Instead, it remodels codon-specific and nascent-peptide-associated pausing and the polysome association of SNORA81-dependent translationally altered mRNAs. These mRNAs display characteristic GC content and amino-acid composition, are enriched in cancer-related functions and show corresponding changes in protein levels. Our findings support a model in which a change in the abundance of a single snoRNA propagates from rRNA-modification stoichiometry through ribosome dynamics and selective mRNA translation to protein output and cancer cell proliferation. We term this multilevel amplification cascade the "sno-balling" effect.

cancer biology↗

bioRxiv2025

SnoBIRD: A tool to identify C/D box snoRNAs and refine their annotation across all eukaryotes

Small nucleolar RNAs (snoRNAs), a group of noncoding RNAs present amongst all eukaryotes, are most extensively characterized for their regulation of ribosome biogenesis and splicing. Despite their central roles, current snoRNA annotations remain incomplete. Several eukaryote genome annotations contain few or no snoRNAs, and none distinguish expressed snoRNAs from their pseudogenes--a recently characterized snoRNA subclass with distinct features and expression levels. To address this, we developed SnoBIRD, a BERT-based C/D box snoRNA predictor trained on snoRNAs spanning all eukaryote kingdoms. We show that SnoBIRD outperforms existing tools and is the only predictor capable of identifying snoRNA pseudogenes using biologically relevant signal. Applied on the fission yeast and human genomes, we demonstrate that only SnoBIRD scales well with genome size in terms of runtime, and we identify and experimentally validate several new SnoBIRD-predicted C/D box snoRNAs. By running SnoBIRD on multiple eukaryote genomes, we identify hundreds of novel snoRNA candidates and highlight SnoBIRDs usefulness to determine the evolutionary paths of snoRNAs distributed across different species. Overall, SnoBIRD represents a user-friendly and efficient tool for reliably predicting C/D box snoRNAs and their pseudogenes across any eukaryote genome. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=109 SRC="FIGDIR/small/646650v1_ufig1.gif" ALT="Figure 1"> View larger version (19K): org.highwire.dtl.DTLVardef@99b390org.highwire.dtl.DTLVardef@dbe375org.highwire.dtl.DTLVardef@32358aorg.highwire.dtl.DTLVardef@58fb3a_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗

bioRxiv2025

RNase III cleavage signals spread across splice junctions enforce sequential processing of co-hosted snoRNAs.

Small nucleolar RNAs (snoRNAs) are a class of non-coding RNA molecules whose precursor transcripts are capped and polyadenylated. However, these end modifications are detrimental to snoRNA function and must be removed, a process typically involving excision from introns and/or endonucleolytic cleavage. In the case of polycistronic RNA precursors that host multiple snoRNAs, the sequence of maturation events is not well understood. Here we report a new mode of maturation concerning snoRNA pairs that are co-hosted in the intron and the adjacent 3 exon of a precursor transcript. For such a pair in the model eukaryotic species Schizosaccharomyces pombe, we identified a double-stranded RNA hairpin folding across the exon-exon junction. The hairpin recruits the RNase III Pac1 that cleaves and destabilizes the precursor transcript while participating in the maturation of the downstream exonic snoRNA, but only after splicing and release of the intronic snoRNA. We propose that such RNase III degradation signal hidden in an exon-exon junction evolved to enforce sequential snoRNA processing. Sequence analysis suggest that this mechanism is conserved in animals and plants.

molecular biology↗

bioRxiv2024

The Pseudogene RPS27AP5 Reveals Novel Ubiquitin and Ribosomal Protein Variants Involved in Specialised Ribosomal Functions.

Pseudogenes, traditionally considered non-functional gene copies resulting from evolutionary mutations, have garnered attention due to recent transcriptomics and proteomics revealing their unexpected expressions and consequential cellular functions. Ubiquitin, transcribed from UBA52 and RPS27A genes, fused to ribosomal proteins eL40 and eS31, and polyubiquitin precursors encoded by UBB and UBC genes, has additional pseudogenes labeled as non-functional. However, recent evidence challenges this notion, demonstrating that these pseudogenes produce ubiquitin variants with minimal differences from the canonical sequence, suggesting a new regulatory dimension in ubiquitin-mediated cellular processes. To systematically catalogue possible Ubiquitin (Ub) and Ubiquitin-like (Ubl) variants from pseudogenes, expression data was compiled, identifying potential functional variants. Among these pseudogenes, RPS27AP5 expresses both Ubiquitin variant (UbP5) and ribosomal protein variant (S27aP5), with precursor proteins maturing through cleavage and exhibiting behavior similar to their counterparts post-translation. Notably, S27aP5 integrates into translating ribosomes, increasing the 80S monosomal ribosomal fraction and indirectly influencing p16INK4A transcriptional activation. The discovery of a functional S27a pseudogene supports the concept that a subset of ribosomes may incorporate diverse subunits for specific translational functions.

cell biology↗

bioRxiv2021

Dynamics and modulation of the human snoRNome

BackgroundSmall nucleolar RNAs (snoRNAs) are mid-size non-coding RNAs required for ribosomal RNA modification, implying a ubiquitous tissue distribution linked to ribosome synthesis. However, increasing numbers of studies identify extra-ribosomal roles of snoRNAs in modulating gene expression, suggesting more complex snoRNA abundance patterns. Therefore, there is a great need for mapping the snoRNome in different human tissues as the blueprint for snoRNA functions. ResultsWe used a low structure bias RNA-Seq approach to accurately quantify snoRNAs and compare them to the entire transcriptome in seven healthy human tissues (breast, ovary, prostate, testis, skeletal muscle, liver and brain). We identified 475 expressed snoRNAs categorized in two abundance classes that differ significantly in their function, conservation level and correlation with their host gene: 390 snoRNAs are uniformly expressed and 85 are enriched in the brain or reproductive tissues. Most tissue-enriched snoRNAs are embedded in lncRNAs and display strong correlation of abundance with them, whereas uniformly expressed snoRNAs are mostly embedded in protein-coding host genes and are mainly non- or anticorrelated with them. 59% of the non-correlated or anticorrelated protein-coding host gene/snoRNA pairs feature dual-initiation promoters, as opposed to only 16% of the correlated non-coding host gene/snoRNA pairs. ConclusionsOur results demonstrate that snoRNAs are not a single homogeneous group of housekeeping genes but include highly regulated tissue-enriched RNAs. Indeed, our work indicates that the architecture of snoRNA host genes varies to uncouple the host and snoRNA expressions in order to meet the different snoRNA abundance levels and functional needs of human tissues.

genomics↗