Single-cell transcriptome analysis of mouse fetal livers from different developmental stages
We employed marker-free single-cell RNA-Seq to characterize comprehensive transcriptional profiles of 507 cells from seven stages between embryonic day 11.5 and postnatal day 2.5 during mouse liver development. Our data demonstrated the existence of two types of stem/progenitor cells with distinct molecular patterns during liver development. Both types of cells exhibit heterogeneity of transcriptional program within each cell population, suggesting they be in distinct status of self-renewal, cel...
Provenance — who produced it, who reused it
Linked to 3 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.
- scMerge leverages factor analysis, stable expression, and pseudo... 2019 · 207 cites
- Single-cell RNA-Seq analysis reveals dynamic trajectories during... 2017 · 99 cites
1 further paper cites this accession but reuse could not be confirmed.
Deep data QC
metadata only · no data-level QC for this typeStandardized, field-standard QC computed by touching the data — every metric states how it was obtained
No quantitative QC rubric exists for this data type yet, so it is deliberately left unscored — this is an honest "not applicable", not a poor rating.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently