High-throughput RNA sequencing on circular RNA profiles of human bladder cancer tissues and normal bladder tissues
In order to find out circular RNAs profiles in human bladder cancer tissues and normal bladder tissues, we characterized circuclar RNA transcripts by performing RNA-Seq on ribosomal RNA-depleted total RNA from three pairs of human bladder cancer tissues and paired normal bladder tissues.A computational pipeline based on the anchor alignment of unmapped reads was used to identify circular RNAs. Collectively, we identified16,535 distict circular RNAs, most of them origined from exons (88.96%), oth...
Provenance — who produced it, who reused it
Linked to 6 papers in the literature. Roles are inferred factual signals (who deposited the data vs who reused it), with counts — never a judgement about any author.
- Circular RNA ACVR2A suppresses bladder cancer cells proliferatio... 2019 · 195 cites
4 further papers cite this accession but reuse could not be confirmed.
Deep data QC
72/100 · CStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
The C grade is a transparent weighted average. Each metric below scored from 0–100% against the published bulk-RNA-seq thresholds, weighted by its importance; nothing is hidden or subjective.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0