Massively Parallel Single Nucleus Transcriptional Profiling Defines Spinal Cord Cell Types and Their Activity During Behavior
To understand the cellular basis of behavior, it is necessary to know the types of cells that exist in the nervous system and their contributions to function. Spinal cord networks are essential for sensory processing and motor behavior; however, the cellular correlates of these functions are not well understood. Here, we developed a massively parallel single nucleus RNA sequencing technique to first create a cell type atlas of the adult mouse spinal cord and then to use the transcriptional signa...
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.
- Confronting false discoveries in single-cell differential expres... 2021 · 980 cites
- A harmonized atlas of mouse spinal cord cell types and their spa... 2021 · 271 cites
- Cell type prioritization in single-cell data 2020 · 268 cites
- Selecting single cell clustering parameter values using subsampl... 2021 · 100 cites
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