scRNAseq reveals mechanisms of Merkel cell carcinoma acquired immunotherapy resistance [1]
Serial blood draws from a single patient and serial tumor biopsies from the same patient with metastatic Merkel cell polyomavirus Merkel cell carcinoma, who was treated with cellular immunotherapy targeting MCPyV (autologous endogenous T cell therapy) followed by checkpoint inhibitors (anti-PD1 and anti-CTLA4). The patient had a 22 month clinical response followed by late/acquired resistance. We performed scRNAseq using the 10x genomics 3' Chromium expression assay to determine potential mech...
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.
- SERGIO: A Single-Cell Expression Simulator Guided by Gene Regula... 2020 · 131 cites
- Systematic investigation of mitochondrial transfer between cance... 2023 · 114 cites
4 further papers cite this accession but reuse could not be confirmed.
Deep data QC
85/100 · BStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
Human RNA-seq with 98 bp reads at 90.2% Q20 and 83.9% Q30 coupled with elevated 2.4% N-content shows signs of degradation or quality control failure. The moderate mean quality (34.7) and 48% GC provide baseline transcript mapping capability, but the high N-contamination and mediocre Q30 rate warrant aggressive quality trimming and conservative downstream filtering before biological interpretation.
The B 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
Scientific quality
Based on hands-on reproduction of the papers that use this dataset. A reproducible paper that stands on this data is positive evidence; a flagged one is a prompt to look closer — never a verdict on the dataset itself without the evidence.