| Literature DB >> 30655415 |
Ruixuan Gao1,2,3, Shoh M Asano1,2, Srigokul Upadhyayula3,4,5,6, Igor Pisarev3, Daniel E Milkie3, Tsung-Li Liu3, Ved Singh3, Austin Graves3, Grace H Huynh1, Yongxin Zhao1, John Bogovic3, Jennifer Colonell3, Carolyn M Ott3, Christopher Zugates7, Susan Tappan8, Alfredo Rodriguez8, Kishore R Mosaliganti9, Shu-Hsien Sheu3, H Amalia Pasolli3, Song Pang3, C Shan Xu3, Sean G Megason9, Harald Hess3, Jennifer Lippincott-Schwartz3, Adam Hantman3, Gerald M Rubin3, Tom Kirchhausen3,4,5,6, Stephan Saalfeld3, Yoshinori Aso3, Edward S Boyden10,2,11,12,13,14, Eric Betzig15,16,17,18,19,20.
Abstract
Optical and electron microscopy have made tremendous inroads toward understanding the complexity of the brain. However, optical microscopy offers insufficient resolution to reveal subcellular details, and electron microscopy lacks the throughput and molecular contrast to visualize specific molecular constituents over millimeter-scale or larger dimensions. We combined expansion microscopy and lattice light-sheet microscopy to image the nanoscale spatial relationships between proteins across the thickness of the mouse cortex or the entire Drosophila brain. These included synaptic proteins at dendritic spines, myelination along axons, and presynaptic densities at dopaminergic neurons in every fly brain region. The technology should enable statistically rich, large-scale studies of neural development, sexual dimorphism, degree of stereotypy, and structural correlations to behavior or neural activity, all with molecular contrast.Entities:
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Year: 2019 PMID: 30655415 PMCID: PMC6481610 DOI: 10.1126/science.aau8302
Source DB: PubMed Journal: Science ISSN: 0036-8075 Impact factor: 47.728