Single cell transcriptomics reveal an essential role for Hippo signaling in cell state transitions during cardiac fibroblast development
We use single cell RNA-sequencing (Drop-seq) to profile cardiac cells (excluded atria) from control (Wt1 CreERT2/+; Rosa26mTmG/+) and epicardial-deficient Lats1/2 kinase embryonic hearts (Wt1 CreERT2/+; Lats1/2 F/F; Rosa26mTmG/+) at E13.5 and E14.5. Each experimental group includes cells sampled from four embryonic hearts.
Provenance — who produced it, who reused it
Linked to 2 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.
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