Snapshot and temporal scRNA-seq of progenitor cells to dissect human embryonic stem cells entry into endoderm progenitors
Human pluripotent stem cells (hPSCs) offer a unique cellular model to study lineage specifications of the primary germ layers during human development. We profiled single-cell RNA-seq (scRNA-seq) on four lineage-specific progenitor cells derived from hESCs. Our scRNA-seq analyses revealed each type of progenitors display various extend of heterogeneity. Specifically, definitive endoderm cells (DECs) not only show a greater degree of heterogeneity, but are also enriched in metabolic signatures. F...
Provenance — who produced it, who reused it
Linked to 52 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.
- Benchmarking algorithms for gene regulatory network inference fr... 2020 · 817 cites
- An accurate and robust imputation method scImpute for single-cel... 2018 · 762 cites
- Single-cell entropy for accurate estimation of differentiation p... 2017 · 377 cites
- SCnorm: robust normalization of single-cell RNA-seq data 2017 · 316 cites
- VIPER: variability-preserving imputation for accurate gene expre... 2018 · 149 cites
- Imputing single-cell RNA-seq data by combining graph convolution... 2021 · 110 cites
- Hypoblast from human pluripotent stem cells regulates epiblast d... 2023 · 81 cites
45 further papers cite this accession but reuse could not be confirmed.
Deep data QC
100/100 · AStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
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