Genome-wide quantification of microRNA processing efficiency from RNA-seq data
Transcriptomics Dataset
FAIR Metrics
0 evaluations
General Information
| Accession | GSE56862 |
| Title | Genome-wide quantification of microRNA processing efficiency from RNA-seq data |
| Description | Microprocessor is responsible for conversion of pri-miRNA transcripts into pre-miRNA hairpins in miRNA biogenesis. The in vivo properties of this process remain enigmatic. Here, we present the first study of in vivo transcriptome-wide pri-miRNA processing using next-generation sequencing of chromatin-associated pri-miRNAs. We identify a distinctive Microprocessor signature in the transcriptome profile, from which efficiency of the endogenous processing event can be accurately quantified. This analysis reveals differential susceptibility to Microprocessor cleavage as a key regulatory step in miRNA biogenesis. Processing is highly variable among pri-miRNAs and a better predictor of miRNA abundance than primary transcription itself. Processing is also largely stable across three cell lines, suggesting a major contribution of sequence determinants. Based on differential processing efficiencies we define functionality for short sequence features adjacent to the pre-miRNA hairpin. In conclusion, we identify Microprocessor as the main hub for diversified miRNA output and suggest a role for uncoupling miRNA biogenesis from host gene expression. |
| Landing Page | https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE56862 |
| Repository | Gene Expression Omnibus |
Tools
used to analyze the dataset
Canned Analyses
generated with the dataset
FAIR Evaluation
Sorry, you must be signed in to evaluate this object.
