Key Features
Enhance your research with our curated data sets and powerful platform features. Pluto Bio makes it simple to find and use the data you need.
Learn MoreIn this study we investigated snRNA-mediated modulation of pre-mRNA splicing across the human transcriptome. We first quantified the relative abundance of snRNAs across a comprehensive range of healthy adult and fetal tissues, revealing a surprising variation in the relative snRNA levels both inter- and intra-tissue. To study the role of snRNAs in cancer-relevant splicing, we used breast cancer as a model, since it exhibits a high rate of aberrant splicing48, but a low frequency of mutations in the splicing machinery52. We observed fluctuations in snRNA adundance across the majority of patients, across all breast cancer subtypes. To investigate the impact of snRNA levels using a controlled system, we knocked down snRNAs in vitro, to analyze splicing both transcriptome-wide and at the level of individual exons and introns. Depletion of each specific snRNA resulted in differential splicing across more than a thousand exon junctions within mRNA transcripts. Knock-down of U1 and U2 levels was primarily associated with changes in exon inclusion rates, whereas U4 and U6 depletion predominantly caused incomplete intron removal and a resulting retention of introns in the mature mRNA. Rather than being driven by a single factor, the observed splicing changes were associated with multiple other splicing-relevant features and mechanisms, including mRNA transcription, intron size, and nucleotide composition. The snRNA-mediated changes to the splicing program were enriched within genes encoding components of core cellular pathways and processes, including multiple aspects of RNA and protein metabolism, and thereby have the potential to impact cell growth and identity. The exons and introns that were sensitive to snRNA levels displayed a high variability in splicing in vivo across primary breast cancer samples, indicating that snRNA dysregulation may contribute to aberrant splicing in cancer. We suggest that the cellular composition of snRNAs constitutes a previously unrecognized layer of splicing regulation within the cell, and that variations or disruptions in the relative abundance of the snRNAs can affect the transcriptome of both healthy and malignant cells. SOURCE: Heidi DvingeDvinge UW-Madison
View on GEOView in PlutoEnhance your research with our curated data sets and powerful platform features. Pluto Bio makes it simple to find and use the data you need.
Learn MoreUse Pluto's intuitive interface to analyze and visualize data for this experiment. Pluto's platform is equipped with an API & SDKs, making it easy to integrate into your internal bioinformatics processes.
Read about post-pipeline analysisView quality control data and experiment metadata for this experiment.
Request imports from GEO or TCGA directly within Pluto Bio.
Chat with our Scientific Insights team