The abstract is read at the publisher; the summary is JClub's.
DIANA-miRGen v5 improves miRNA transcriptional annotation by mapping CLS-derived TSSs and host contexts for 1560/1918 human pre-miRNA loci (81.3%) with TF-filtered ChIP-Atlas overlap.
- Why it matters: Primary microRNA transcripts are rapidly processed, so full-length pri-miRNAs are underrepresented in standard transcriptomic data, leaving miRNA promoter and host-context regulation hard to characterize.
- What they did: The database integrates GENCODE reference gene/transcript annotations with Capture Long-read Sequencing and CLS-derived TSSs, then adds TF-filtered ChIP-Atlas occupancy within windows spanning 10 kb upstream and 2 kb downstream of selected host TSSs.
- The result: It generates 4,901,330 human and 2,378,918 mouse gene-level host-window overlap records and enables linked gene/transcript exploration, visualization, downloads, and REST API access.
The findingWhy it mattersWhat they didThe result
AI summary of the abstract · may contain errors · not medical advice · read the paper.