Corpus 1,272 assessed · 1,173 scored · 643 reproduced ≥75 · 168 flagged ·∅ 74.1/100
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GSE74985

GEO first seen 2016

Hipposeq: an RNA-seq based atlas of gene expression in excitatory hippocampal neurons

Organism
Mus musculus
Samples
24
Type
Expression profiling by high...
Submitted
2015-11-13

Here, we used next-generation RNA sequencing (RNA-seq) to produce a quantitative, whole genome atlas of gene expression for every excitatory neuronal class in the hippocampus; namely, granule cells and mossy cells of the dentate gyrus, and pyramidal cells of areas CA3, CA2, and CA1. Moreover, for the canonical neurons of the trisynaptic loop, we profiled transcriptomes at both dorsal and ventral poles, producing a cell class- and region-specific transcriptional atlas for these canonical populati...

Provenance — who produced it, who reused it

Linked to 8 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
Mark CembrowskiNelson Spruston
Reused by

4 further papers cite 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