Differential effects of estrogen receptor beta isoforms on glioblastoma progression
We examined the transcriptional changes modulated by knocking out ERβ and reintroduction of ERβ1 and ERβ5 isoforms by perfroming global transcriptome analysis. ERβ was knocked out in U87 cells using CRISPR/Cas9 system and reintroduced the ERβ1 and ERβ5 isoforms in knockout background. RNA was isolated from control U87, U87-ERβ-KO, U87-ERβ1 and U87-ERβ5 cells and utilized for RNA-seq analysis. Our results demonstrated that ERβ-KO, ERβ1 and ERβ5 modulated unique pathways including NF-κB singaling...
Provenance — who produced it, who reused it
Linked to 1 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.
Deep data QC
98/100 · AStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
Human bulk RNA-seq (HiSeq 3000). Exceptional A-grade (98/100) driven by near-perfect Q30 (97.8%) and very high mean base quality (39.6), both measured, despite moderate duplication (34.29%). Exceptional base quality ensures reliable SNVs and expression estimates; excellent dataset for method benchmarking.
The A 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