Discovery of naturally occurring ESR1 mutations during acquisition of resistance to endocrine therapy in widely used estrogen receptor positive breast cancer cell lines [RNA-Seq]
We report the first discovery of naturally occurring ESR1Y537C and ESR1Y537S mutations in MCF7 and SUM44 ESR1-positive cell-lines after acquisition of resistance to long-term-estrogen-deprivation (LTED) and subsequent resistance to fulvestrant (ICIR).
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.
- Discovery of naturally occurring ESR1 mutations in breast cancer... 2017 · 158 cites
Deep data QC
100/100 · AStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
Bulk RNA-seq (human). Grade A: excellent measured QC (Q30=95.9%, base quality=34.8, duplication=31.2%, adapter=0%, N-content=0.011%), long reads (75.5 bp), and low technical noise. All metrics are pristine with well-controlled duplication. This is a high-confidence dataset with robust properties across all dimensions, highly recommended for sensitive expression and isoform studies.
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