| Literature DB >> 31495573 |
Johan Winnubst1, Erhan Bas1, Tiago A Ferreira1, Zhuhao Wu2, Michael N Economo1, Patrick Edson3, Ben J Arthur1, Christopher Bruns1, Konrad Rokicki1, David Schauder1, Donald J Olbris1, Sean D Murphy1, David G Ackerman1, Cameron Arshadi1, Perry Baldwin1, Regina Blake1, Ahmad Elsayed1, Mashtura Hasan1, Daniel Ramirez1, Bruno Dos Santos1, Monet Weldon1, Amina Zafar1, Joshua T Dudman1, Charles R Gerfen4, Adam W Hantman1, Wyatt Korff1, Scott M Sternson1, Nelson Spruston1, Karel Svoboda1, Jayaram Chandrashekar5.
Abstract
Neuronal cell types are the nodes of neural circuits that determine the flow of information within the brain. Neuronal morphology, especially the shape of the axonal arbor, provides an essential descriptor of cell type and reveals how individual neurons route their output across the brain. Despite the importance of morphology, few projection neurons in the mouse brain have been reconstructed in their entirety. Here we present a robust and efficient platform for imaging and reconstructing complete neuronal morphologies, including axonal arbors that span substantial portions of the brain. We used this platform to reconstruct more than 1,000 projection neurons in the motor cortex, thalamus, subiculum, and hypothalamus. Together, the reconstructed neurons constitute more than 85 meters of axonal length and are available in a searchable online database. Axonal shapes revealed previously unknown subtypes of projection neurons and suggest organizational principles of long-range connectivity.Entities:
Keywords: automated reconstruction; axonal morphology; long-range projections; morphology database; neuronal cell types; neuronal connectivity; projection neurons; single-cell reconstruction; whole brain
Mesh：
Year: 2019 PMID： 31495573 PMCID： PMC6754285 DOI： 10.1016/j.cell.2019.07.042
Source DB: PubMed Journal: Cell ISSN： 0092-8674 Impact factor: 41.582