Transcriptomic profiling maps anatomically patterned subpopulations among single embryonic cardiac cells [RNA-seq]
Embryonic gene expression intricately reflects anatomical context, developmental stage, and cell type. To address whether the precise spatial origins of cardiac cells can be deduced solely from their transcriptional profiles, we established a genome-wide expression database from 118, 949, and 1166 single murine heart cells at embryonic days (e)8.5, 9.5, and 10.5, respectively. We segregated these cells by type using unsupervised bioinformatic analysis and identified novel chamber-specific genes....
Provenance — who produced it, who reused it
Linked to 5 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.
- Transcriptomic Profiling Maps Anatomically Patterned Subpopulati... 2016 · 269 cites
- Single cell expression analysis reveals anatomical and cell cycl... 2019 · 84 cites
- Spatiotemporal Analysis Reveals Overlap of Key Proepicardial Mar... 2020 · 83 cites
2 further papers cite this accession but reuse could not be confirmed.
Deep data QC
80/100 · BStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
The B grade is a transparent weighted average. Each metric below scored from 0–100% against the published bulk-RNA-seq thresholds, weighted by its importance; nothing is hidden or subjective.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0