Single cell transcriptomic analysis of the lateral hypothalamic area reveals molecularly distinct populations of inhibitory and excitatory neurons
We employed a droplet-based single cell RNA-sequencing (scRNA-seq) approach to develop a comprehensive census of molecularly distinct cell types in the mouse lateral hypothalamic area (LHA). In addition to 13 distinct non-neuronal cell populations, we define 15 distinct populations of glutamatergic and 15 distinct populations of GABAergic neurons, including both known and novel cell types. This comprehensive transcriptomic analysis of LHA cell types lays the groundwork for understanding the circ...
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.
4 further papers cite this accession but reuse could not be confirmed.
Deep data QC
74/100 · CStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
The C 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