| Literature DB >> 35216674 |
Nicholas L Turner1, Thomas Macrina1, J Alexander Bae2, Runzhe Yang1, Alyssa M Wilson3, Casey Schneider-Mizell4, Kisuk Lee5, Ran Lu3, Jingpeng Wu3, Agnes L Bodor4, Adam A Bleckert4, Derrick Brittain4, Emmanouil Froudarakis6, Sven Dorkenwald1, Forrest Collman4, Nico Kemnitz3, Dodam Ih3, William M Silversmith3, Jonathan Zung1, Aleksandar Zlateski7, Ignacio Tartavull3, Szi-Chieh Yu3, Sergiy Popovych1, Shang Mu3, William Wong3, Chris S Jordan3, Manuel Castro3, JoAnn Buchanan4, Daniel J Bumbarger4, Marc Takeno4, Russel Torres4, Gayathri Mahalingam4, Leila Elabbady4, Yang Li4, Erick Cobos6, Pengcheng Zhou8, Shelby Suckow4, Lynne Becker4, Liam Paninski9, Franck Polleux10, Jacob Reimer6, Andreas S Tolias11, R Clay Reid4, Nuno Maçarico da Costa4, H Sebastian Seung12.
Abstract
We assembled a semi-automated reconstruction of L2/3 mouse primary visual cortex from ∼250 × 140 × 90 μm3 of electron microscopic images, including pyramidal and non-pyramidal neurons, astrocytes, microglia, oligodendrocytes and precursors, pericytes, vasculature, nuclei, mitochondria, and synapses. Visual responses of a subset of pyramidal cells are included. The data are publicly available, along with tools for programmatic and three-dimensional interactive access. Brief vignettes illustrate the breadth of potential applications relating structure to function in cortical circuits and neuronal cell biology. Mitochondria and synapse organization are characterized as a function of path length from the soma. Pyramidal connectivity motif frequencies are predicted accurately using a configuration model of random graphs. Pyramidal cells receiving more connections from nearby cells exhibit stronger and more reliable visual responses. Sample code shows data access and analysis.Entities:
Keywords: mouse, cortex, 3D reconstruction, electron microscopy, calcium imaging, pyramidal cell, mitochondria, synaptic connectivity, inhibitory cell, visual cortex
Mesh:
Year: 2022 PMID: 35216674 PMCID: PMC9337909 DOI: 10.1016/j.cell.2022.01.023
Source DB: PubMed Journal: Cell ISSN: 0092-8674 Impact factor: 66.850