@article{595e257e184442ae879155babbd644b9,
title = "Candelabrum cells are ubiquitous cerebellar cortex interneurons with specialized circuit properties",
abstract = "To understand how the cerebellar cortex transforms mossy fiber (MF) inputs into Purkinje cell (PC) outputs, it is vital to delineate the elements of this circuit. Candelabrum cells (CCs) are enigmatic interneurons of the cerebellar cortex that have been identified based on their morphology, but their electrophysiological properties, synaptic connections and function remain unknown. Here, we clarify these properties using electrophysiology, single-nucleus RNA sequencing, in situ hybridization and serial electron microscopy in mice. We find that CCs are the most abundant PC layer interneuron. They are GABAergic, molecularly distinct and present in all cerebellar lobules. Their high resistance renders CC firing highly sensitive to synaptic inputs. CCs are excited by MFs and granule cells and are strongly inhibited by PCs. CCs in turn primarily inhibit molecular layer interneurons, which leads to PC disinhibition. Thus, inputs, outputs and local signals converge onto CCs to allow them to assume a unique role in controlling cerebellar output.",
author = "Tomas Osorno and Stephanie Rudolph and Tri Nguyen and Velina Kozareva and Nadaf, {Naeem M.} and Aliya Norton and Macosko, {Evan Z.} and Lee, {Wei Chung Allen} and Regehr, {Wade G.}",
note = "Funding Information: We thank members of the Regehr lab and G. Fishell for comments on the manuscript. This work was supported by grants from the NIH (R01NS032405 and R35NS097284 to W.G.R., NIH/NIMH Brain Grant 1U19MH114821 to E.Z.M.), the Stanley Center for Psychiatric Research and the Vision Core and NINDS P30 Core Center (NS072030) to the Neurobiology Imaging Center at Harvard Medical School. The EM work was supported by NIH (R21NS085320 and RF1MH114047); the Bertarelli Program in Translational Neuroscience and Neuroengineering, Stanley and Theodora Feldberg Fund, and the Edward R. and Anne G. Lefler Center. Portions of this research were conducted on the O2 High Performance Compute Cluster at Harvard Medical School partially provided through NIH NCRR (1S10RR028832-01) and a Foundry Award for the HMS Connectomics Core. The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript. Funding Information: We thank members of the Regehr lab and G. Fishell for comments on the manuscript. This work was supported by grants from the NIH (R01NS032405 and R35NS097284 to W.G.R., NIH/NIMH Brain Grant 1U19MH114821 to E.Z.M.), the Stanley Center for Psychiatric Research and the Vision Core and NINDS P30 Core Center (NS072030) to the Neurobiology Imaging Center at Harvard Medical School. The EM work was supported by NIH (R21NS085320 and RF1MH114047); the Bertarelli Program in Translational Neuroscience and Neuroengineering, Stanley and Theodora Feldberg Fund, and the Edward R. and Anne G. Lefler Center. Portions of this research were conducted on the O2 High Performance Compute Cluster at Harvard Medical School partially provided through NIH NCRR (1S10RR028832-01) and a Foundry Award for the HMS Connectomics Core. The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript. Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive licence to Springer Nature America, Inc.",
year = "2022",
month = jun,
doi = "10.1038/s41593-022-01057-x",
language = "English (US)",
volume = "25",
pages = "702--713",
journal = "Nature Neuroscience",
issn = "1097-6256",
publisher = "Nature Publishing Group",
number = "6",
}