Michelle S. Scott

The paper shows that SNORA81-guided pseudouridylation at a specific 28S rRNA site influences selective translation and ovarian cancer cell proliferation.

This study identifies a ribosomal RNA modification regulated by SNORA81 that affects translation of PI3K/AKT activators in high-grade serous ovarian carcinoma.

The paper identifies a structural gate in pre-mRNA that regulates U1 recruitment and nutrient-stress adaptation in yeast.

This study benchmarks nanopore direct RNA sequencing for pseudouridine quantification in human ribosomal RNA, showing high accuracy and reproducibility across multiple cell types.

snoFlake identifies snoRNA-RBP complexes and reveals SNORD22 as a splicing regulator by interacting with U5 snRNP components.

RNAcentral integrates literature and gene-level data to enhance non-coding RNA sequence analysis and functional understanding.

SnoBIRD identifies and refines C/D box snoRNA annotations across eukaryotes by distinguishing expressed snoRNAs from pseudogenes.

The paper identifies an RNase III cleavage signal in exon-exon junctions that ensures sequential processing of co-hosted snoRNAs in S. pombe, with conservation in animals and plants.

The paper identifies a functional pseudogene, RPS27AP5, that produces ubiquitin and ribosomal protein variants involved in specialized ribosomal functions and transcriptional regulation.

The paper shows that Tetrahymena thermophila's Mlp1, lacking the RRM1 domain, functions as a La protein and alters tRNA processing by stabilizing 3-trailers and preventing leader/trailer pairing.

The paper identifies 280 alternative proteins in human protein-protein interaction networks using proteogenomic data and experimental validation, revealing new interactions and functional roles.

The paper introduces snoGloBe, a predictor of C/D snoRNA interactions that identifies both known and novel RNA targets, including viral RNAs, and shows their regulatory roles.

The paper shows that duplicated ribosomal protein paralogs in yeast undergo differential acetylation, altering translation of genes with short or long open reading frames and contributing to drug resistance.

The paper quantifies snoRNA abundance across seven human tissues and identifies two distinct abundance classes with different host gene relationships and regulatory features.

SegRNA identifies unannotated transcripts by analyzing multi-experiment transcriptomic data without relying on pre-existing annotations.

The paper identifies gene-specific quantification biases in RNA-seq software by analyzing datasets with multiple computational pipelines and matrix factorization.

CoCo improves RNA-seq read assignment by correcting misassignments for nested and multimapped reads, increasing retained reads and improving abundance estimates.