Mapping the transcriptional diversity of genetically and anatomically defined cell populations in the mouse brain.
Ken SuginoErin A ClarkAnton SchulmannYasuyuki ShimaLihua WangDavid L HuntBryan M HooksDimitri TränknerJayaram ChandrashekarSerge PicardAndrew L LemireNelson SprustonAdam W HantmanSacha B NelsonPublished in: eLife (2019)
Understanding the principles governing neuronal diversity is a fundamental goal for neuroscience. Here, we provide an anatomical and transcriptomic database of nearly 200 genetically identified cell populations. By separately analyzing the robustness and pattern of expression differences across these cell populations, we identify two gene classes contributing distinctly to neuronal diversity. Short homeobox transcription factors distinguish neuronal populations combinatorially, and exhibit extremely low transcriptional noise, enabling highly robust expression differences. Long neuronal effector genes, such as channels and cell adhesion molecules, contribute disproportionately to neuronal diversity, based on their patterns rather than robustness of expression differences. By linking transcriptional identity to genetic strains and anatomical atlases, we provide an extensive resource for further investigation of mouse neuronal cell types.
Keyphrases
- single cell
- transcription factor
- poor prognosis
- cell therapy
- cerebral ischemia
- gene expression
- genome wide
- escherichia coli
- cell adhesion
- stem cells
- dna methylation
- rna seq
- binding protein
- immune response
- genetic diversity
- dendritic cells
- genome wide identification
- air pollution
- brain injury
- subarachnoid hemorrhage
- bone marrow
- electronic health record