Corpus 1,285 assessed · 1,186 scored · 647 reproduced ≥75 · 174 flagged ·∅ 73.9/100
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GSE122871

GEO first seen 2019

Single-cell Transcriptomics Resolves Intermediate Glial Progenitors and Uncovers a Pivotal Determinant of Cell Fate and Gliomagenesis

Organism
Mus musculus
Samples
229
Type
Expression profiling by high...
Submitted
2018-11-23

The identity and heterogeneity of glial progenitors and their contributions to brain tumor malignancy remain elusive. By applying lineage-targeted single-cell-transcriptomics, we uncover an unanticipated diversity of glial progenitor pools with unique molecular identities in developing brain. Our analysis identifies distinct transitional intermediate states and their divergent developmental trajectories in astroglial and oligodendroglial lineages. Moreover, intersectional analysis uncovers analo...

Provenance — who produced it, who reused it

Linked to 2 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.

Deposited / produced by
Qinjie WengJincheng WangJiajia WangDanyang HeLingli XuB J AronowQ R Lu
Reused by

1 further paper cites this accession but reuse could not be confirmed.

Deep data QC

metadata only · no data-level QC for this type

Standardized, 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.

QC cost 22 s compute

measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently