Widespread translational remodeling during human neuronal differentiation
Faithful cellular differentiation requires precise coordination of changes in gene expression. However, the relative contributions of transcriptional and translational regulation during human cellular differentiation are unclear. Here, we induced forebrain neuronal differentiation of human embryonic stem cells (hESCs) and characterized genome-wide RNA and translation levels during neurogenesis. We find that thousands of genes change at the translation level across differentiation without a corre...
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.
- Widespread Translational Remodeling during Human Neuronal Differ... 2017 · 156 cites
- riboCIRC: a comprehensive database of translatable circRNAs 2021 · 82 cites
3 further papers cite this accession but reuse could not be confirmed.
Deep data QC
95/100 · AStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
Bulk RNA-seq from Homo sapiens; A-grade (95/100). Elevated duplication at 42.65% and minor adapters (2.27%) limit reliability; measured metrics confirm high base quality (Q39.9 mean), but duplication is the principal reuse concern requiring robust normalization to prevent inflated effect-size estimates.
The A 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
Scientific quality
Based on hands-on reproduction of the papers that use this dataset. A reproducible paper that stands on this data is positive evidence; a flagged one is a prompt to look closer — never a verdict on the dataset itself without the evidence.