Hipposeq: an RNA-seq based atlas of gene expression in excitatory hippocampal neurons
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.
- Hipposeq: a comprehensive RNA-seq database of gene expression in... 2016 · 500 cites
- Cross-Laboratory Analysis of Brain Cell Type Transcriptomes with... 2017 · 160 cites
- Hippocampal Subregions Express Distinct Dendritic Transcriptomes... 2019 · 106 cites
- OmicVerse: a framework for bridging and deepening insights acros... 2024 · 77 cites
4 further papers cite this accession but reuse could not be confirmed.
Deep data QC
metadata only · no data-level QC for this typeStandardized, 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.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently