Single-cell RNA sequencing of sensory neurons in the mouse dorsal horn
We have used large-scale single-cell RNA sequencing (RNA-seq) to classify sensory neurons in the mouse dorsal horn, with the purpose of identifying neuronal subclasses, in particular making a systematic and comprehensive molecular classification of spinal cord sensory neurons, providing the neuronal basis for somatic sensation.
Provenance — who produced it, who reused it
Linked to 1 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.
- A harmonized atlas of mouse spinal cord cell types and their spa... 2021 · 271 cites
Deep data QC
80/100 · BStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
Large-scale Illumina HiSeq 2000 RNA-seq of Mus musculus yields 57.0 billion bases across 1.1 billion reads at 95.5% Q20 with geo_uid confirmed in NCBI. Extensive dataset with verified provenance; comprehensive coverage enables genome-wide expression profiling and splicing-variant discovery.
The B 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