Single-cell RNA-seq analysis unveils a prevalent epithelial/mesenchymal hybrid state during mouse organogenesis
Background: Organogenesis is crucial for proper organ formation during mammalian embryonic development. However, the similarities and shared features between different organs and the cellular heterogeneity during this process at single-cell resolution remain elusive. Results: We perform single-cell RNA sequencing analysis of 1,916 individual cells from eight organs and tissues of E9.5 to E11.5 mouse embryos, namely, the forebrain, hindbrain, skin, heart, somite, lung, liver, and intestine. Based...
Provenance — who produced it, who reused it
Linked to 17 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
- A gene regulatory network to control EMT programs in development... 2019 · 131 cites
- The single-cell and spatial transcriptional landscape of human g... 2023 · 126 cites
- Categorization of lung mesenchymal cells in development and fibr... 2021 · 87 cites
- Inference and multiscale model of epithelial-to-mesenchymal tran... 2020 · 72 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