Deconstructing the dynamic transcriptional program of pluripotent stem cells.
Pluripotent stem cells (PSCs) are capable of dynamic interconversion between distinct substates, but the regulatory circuits specifying these states and enabling transitions between them are not well understood. We set out to address this issue and map the landscape of gene expression variability in PSCs by single-cell expression profiling of PSCs under different chemical and genetic perturbations. We find that signaling factors and developmental regulators show highly variable expression in PSC...
Provenance — who produced it, who reused it
Linked to 4 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.
- A statistical approach for identifying differential distribution... 2016 · 329 cites
- Exploiting single-cell expression to characterize co-expression... 2016 · 94 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