Single-cell Transcriptomics Identifies Transcriptional Networks Driving Differentiation and Tumorigenesis in the Human Fallopian Tube
The human fallopian tube harbors the cell-of-origin for the majority of high-grade serous “ovarian” cancers (HGSCs), but its cellular composition, particularly of the epithelial component, is poorly characterized. We subjected 12 fallopian specimens from 8 patients to single-cell transcriptomic profiling, analyzing around 53,000 individual cells to map the major immune, fibroblastic and epithelial cell types present in this organ. We identified 10 epithelial sub-populations, characterized by div...
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.
- Single-cell transcriptomics identifies gene expression networks... 2021 · 115 cites
5 further papers cite this accession but reuse could not be confirmed.
Deep data QC
33/100 · FStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
The F 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