Comprehensive single-cell mRNA profiling reveals a detailed roadmap for pancreatic endocrinogenesis
This dataset consists of single-cell RNA-seq (10X) data from 4 embryonic stages (E12.5-15.5) of pancreatic epithelial cells from Neurogenin3 (Ngn3)-Venus fusion (NVF) homozygous mice. Endocrine progenitor cells (NVF+) were enriched by FACS cell sorting.
Provenance — who produced it, who reused it
Linked to 15 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.
- Mapping single-cell data to reference atlases by transfer learni... 2021 · 625 cites
- Biologically informed deep learning to query gene programs in si... 2023 · 94 cites
- Delineating mouse β-cell identity during lifetime and in diabete... 2023 · 80 cites
- OmicVerse: a framework for bridging and deepening insights acros... 2024 · 77 cites
- Preprocessing choices affect RNA velocity results for droplet sc... 2021 · 75 cites
10 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