Nature · 2021 · 389 citations · 35 references
Life SciencesNeurobiologyNeuroscienceCellular NeuroscienceMolecular NeuroscienceNeurophysiologyCerebellar AnatomyCerebellar CircuitsCerebellar PhysiologyNeuronal Cell BiologyNeuronal Cell TypesNeuronal Gene ExpressionCerebellar Purkinje CellsCerebellum AnatomyElectrical CouplingGene Expression AtlasesInterneuron OrganizationInterneuron SubtypesMolecular Layer Interneuron CircuitSpontaneous Firing Rate
Abstract The cerebellar cortex is a well-studied brain structure with diverse roles in motor learning, coordination, cognition and autonomic regulation. However, a complete inventory of cerebellar cell types is currently lacking. Here, using recent advances in high-throughput transcriptional profiling 1–3 , we molecularly define cell types across individual lobules of the adult mouse cerebellum. Purkinje neurons showed considerable regional specialization, with the greatest diversity occurring in the posterior lobules. For several types of cerebellar interneuron, the molecular variation within each type was more continuous, rather than discrete. In particular, for the unipolar brush cells—an interneuron population previously subdivided into discrete populations—the continuous variation in gene expression was associated with a graded continuum of electrophysiological properties. Notably, we found that molecular layer interneurons were composed of two molecularly and functionally distinct types. Both types show a continuum of morphological variation through the thickness of the molecular layer, but electrophysiological recordings revealed marked differences between the two types in spontaneous firing, excitability and electrical coupling. Together, these findings provide a comprehensive cellular atlas of the cerebellar cortex, and outline a methodological and conceptual framework for the integration of molecular, morphological and physiological ontologies for defining brain cell types.
35
Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets
Evan Z. Macosko, Anindita Basu, Rahul Satija et al. · Cell · 2015 · 7.8K citations · Full text
Massively parallel digital transcriptional profiling of single cells
Grace Zheng, Jessica M. Terry, Phillip Belgrader et al. · Nature Communications · 2017 · 7.8K citations · Full text
Genome-wide atlas of gene expression in the adult mouse brain
Ed S. Lein, Michael Hawrylycz, Nancy Ao et al. · Nature · 2006 · 6K citations
Reversed graph embedding resolves complex single-cell trajectories
Xiaojie Qiu, Qi Mao, Ying Tang et al. · Nature Methods · 2017 · 5.4K citations · Full text