Design logic of hypothalamus development mapped by single-cell RNA-seq
Purpose: We aimed to reconstruct the development formation of cellular identities' heterogeneity in the hypothalamus with single-cell RNA sequencing. We planned to track branching process of neurogenesis and follow the formation of cell identities. Results: We integrate single-cell RNA-seq data on 51,199 cells of ectodermal origin, representing critical stages of pre- and postnatal hypothalamus development, supported by anatomical lineage reconstruction to show that bulk neurogenesis in the hypo...
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.
2 further papers cite 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