Semantic Scholar Open Access 2018 2282 sitasi

Molecular Architecture of the Mouse Nervous System

Amit Zeisel Hannah Hochgerner P. Lönnerberg A. Johnsson Fatima Memic +15 lainnya

Abstrak

The mammalian nervous system executes complex behaviors controlled by specialised, precisely positioned and interacting cell types. Here, we used RNA sequencing of half a million single cells to create a detailed census of cell types in the mouse nervous system. We mapped cell types spatially and derived a hierarchical, data-driven taxonomy. Neurons were the most diverse, and were grouped by developmental anatomical units, and by the expression of neurotransmitters and neuropeptides. Neuronal diversity was driven by genes encoding cell identity, synaptic connectivity, neurotransmission and membrane conductance. We discovered several distinct, regionally restricted, astrocytes types, which obeyed developmental boundaries and correlated with the spatial distribution of key glutamate and glycine neurotransmitters. In contrast, oligodendrocytes showed a loss of regional identity, followed by a secondary diversification. The resource presented here lays a solid foundation for understanding the molecular architecture of the mammalian nervous system, and enables genetic manipulation of specific cell types.

Topik & Kata Kunci

Penulis (20)

A

Amit Zeisel

H

Hannah Hochgerner

P

P. Lönnerberg

A

A. Johnsson

F

Fatima Memic

J

J. van der Zwan

M

Martin Häring

E

Emelie Braun

L

Lars E. Borm

G

Gioele La Manno

S

S. Codeluppi

A

Alessandro Furlan

K

Kawai Lee

N

N. Skene

K

K. Harris

J

J. Hjerling-Leffler

E

E. Arenas

P

P. Ernfors

U

Ulrika Marklund

S

S. Linnarsson

Format Sitasi

Zeisel, A., Hochgerner, H., Lönnerberg, P., Johnsson, A., Memic, F., Zwan, J.v.d. et al. (2018). Molecular Architecture of the Mouse Nervous System. https://doi.org/10.1101/294918

Akses Cepat

Lihat di Sumber doi.org/10.1101/294918
Informasi Jurnal
Tahun Terbit
2018
Bahasa
en
Total Sitasi
2282×
Sumber Database
Semantic Scholar
DOI
10.1101/294918
Akses
Open Access ✓