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CUBIC-Cloud provides an integrative computational framework toward community-driven whole-mouse-brain mapping
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 a...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9017177/ https://www.ncbi.nlm.nih.gov/pubmed/35475238 http://dx.doi.org/10.1016/j.crmeth.2021.100038 |
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author | Mano, Tomoyuki Murata, Ken Kon, Kazuhiro Shimizu, Chika Ono, Hiroaki Shi, Shoi Yamada, Rikuhiro G. Miyamichi, Kazunari Susaki, Etsuo A. Touhara, Kazushige Ueda, Hiroki R. |
author_facet | Mano, Tomoyuki Murata, Ken Kon, Kazuhiro Shimizu, Chika Ono, Hiroaki Shi, Shoi Yamada, Rikuhiro G. Miyamichi, Kazunari Susaki, Etsuo A. Touhara, Kazushige Ueda, Hiroki R. |
author_sort | Mano, Tomoyuki |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9017177 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-90171772022-04-25 CUBIC-Cloud provides an integrative computational framework toward community-driven whole-mouse-brain mapping Mano, Tomoyuki Murata, Ken Kon, Kazuhiro Shimizu, Chika Ono, Hiroaki Shi, Shoi Yamada, Rikuhiro G. Miyamichi, Kazunari Susaki, Etsuo A. Touhara, Kazushige Ueda, Hiroki R. Cell Rep Methods Article 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. Elsevier 2021-06-21 /pmc/articles/PMC9017177/ /pubmed/35475238 http://dx.doi.org/10.1016/j.crmeth.2021.100038 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Mano, Tomoyuki Murata, Ken Kon, Kazuhiro Shimizu, Chika Ono, Hiroaki Shi, Shoi Yamada, Rikuhiro G. Miyamichi, Kazunari Susaki, Etsuo A. Touhara, Kazushige Ueda, Hiroki R. CUBIC-Cloud provides an integrative computational framework toward community-driven whole-mouse-brain mapping |
title | CUBIC-Cloud provides an integrative computational framework toward community-driven whole-mouse-brain mapping |
title_full | CUBIC-Cloud provides an integrative computational framework toward community-driven whole-mouse-brain mapping |
title_fullStr | CUBIC-Cloud provides an integrative computational framework toward community-driven whole-mouse-brain mapping |
title_full_unstemmed | CUBIC-Cloud provides an integrative computational framework toward community-driven whole-mouse-brain mapping |
title_short | CUBIC-Cloud provides an integrative computational framework toward community-driven whole-mouse-brain mapping |
title_sort | cubic-cloud provides an integrative computational framework toward community-driven whole-mouse-brain mapping |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9017177/ https://www.ncbi.nlm.nih.gov/pubmed/35475238 http://dx.doi.org/10.1016/j.crmeth.2021.100038 |
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