A transcriptomic atlas of mouse cerebellar cortex comprehensively defines cell types.
A transcriptomic atlas of mouse cerebellar cortex comprehensively defines cell types.
复制标题
小鼠小脑皮层的转录组图谱全面定义了细胞类型。
DOI:
10.1038/s41586-021-03220-z
复制
发表时间:
2021-10
期刊:
影响因子:
64.8
通讯作者:
Macosko E
中科院分区:
文献类型:
--
作者:
Kozareva V;Martin C;Osorno T;Rudolph S;Guo C;Vanderburg C;Nadaf N;Regev A;Regehr WG;Macosko E
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, 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. A comprehensive atlas of cell types and regional specializations in the mouse cerebellar cortex.
登录
查看更多内容
影响因子:
64.8
作者:
Cao, Junyue;Spielmann, Malte;Shendure, Jay
通讯作者:
Shendure, Jay
影响因子:
16.2
作者:
Dugue, Guillaume P.;Brunel, Nicolas;Dieudonne, Stephane
通讯作者:
Dieudonne, Stephane
影响因子:
64.5
作者:
Saunders A;Macosko EZ;Wysoker A;Goldman M;Krienen FM;de Rivera H;Bien E;Baum M;Bortolin L;Wang S;Goeva A;Nemesh J;Kamitaki N;Brumbaugh S;Kulp D;McCarroll SA
通讯作者:
McCarroll SA
影响因子:
16.2
作者:
Borges-Merjane, Carolina;Trussell, Laurence O.
通讯作者:
Trussell, Laurence O.
影响因子:
3.3
作者:
Chung, S. -H.;Sillitoe, R. V.;Hawkes, R.
通讯作者:
Hawkes, R.