| Literature DB >> 35475238 |
Tomoyuki Mano1,2, Ken Murata3, Kazuhiro Kon4, Chika Shimizu2, Hiroaki Ono4, Shoi Shi2,4, Rikuhiro G Yamada2, Kazunari Miyamichi3, Etsuo A Susaki2,4, Kazushige Touhara3,5, Hiroki R Ueda1,2,4.
Abstract
Recent advancements in tissue clearing technologies have offered unparalleled opportunities for researchers to explore the whole mouse brain at cellular resolution. With the expansion of this experimental technique, however, a scalable and easy-to-use computational tool is in demand to effectively analyze and integrate whole-brain mapping datasets. To that end, here we present CUBIC-Cloud, a cloud-based framework to quantify, visualize, and integrate mouse brain data. CUBIC-Cloud is a fully automated system where users can upload their whole-brain data, run analyses, and publish the results. We demonstrate the generality of CUBIC-Cloud by a variety of applications. First, we investigated the brain-wide distribution of five cell types. Second, we quantified Aβ plaque deposition in Alzheimer's disease model mouse brains. Third, we reconstructed a neuronal activity profile under LPS-induced inflammation by c-Fos immunostaining. Last, we show brain-wide connectivity mapping by pseudotyped rabies virus. Together, CUBIC-Cloud provides an integrative platform to advance scalable and collaborative whole-brain mapping.Entities:
Keywords: Alzheimer's disease; Kiss1; LPS; arcuate nucleus of the hypothalamus; c-Fos; cloud computing; inflammation; light-sheet fluorescence microscopy; rabies virus; tissue clearing
Year: 2021 PMID： 35475238 PMCID： PMC9017177 DOI： 10.1016/j.crmeth.2021.100038
Source DB: PubMed Journal: Cell Rep Methods ISSN： 2667-2375