Evidence map›Paper›PMID 35475238›Full record

ArticleCell reports methods2021

CUBIC-Cloud provides an integrative computational framework toward community-driven whole-mouse-brain mapping.

Tomoyuki Mano, Ken Murata, Kazuhiro Kon, Chika Shimizu, Hiroaki Ono, Shoi Shi, Rikuhiro G Yamada, Kazunari Miyamichi, Etsuo A Susaki, Kazushige Touhara and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cell reports methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
5.5field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 26 citations in OpenAlex.

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  16. Mesoscale microscopy and image analysis tools for understanding the brain.Progress in biophysics and molecular biology · 2022
    Review
  17. Review
  18. Review
  19. Review
  20. TISSUE CLEARING.Nature reviews. Methods primers · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Tomoyuki ManoDepartment of Information Physics and Computing, Graduate School of Information Science and Technology, The University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan.
Ken MurataDepartment of Applied Biological Chemistry, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Bunkyo-ku, Tokyo 113-8657, Japan.
Kazuhiro KonDepartment of Systems Pharmacology, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan.
Chika ShimizuLaboratory for Synthetic Biology, RIKEN Center for Biosystems Dynamics Research, Suita, Osaka 565-5241, Japan.
Hiroaki OnoDepartment of Systems Pharmacology, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan.
Shoi ShiLaboratory for Synthetic Biology, RIKEN Center for Biosystems Dynamics Research, Suita, Osaka 565-5241, Japan.
Rikuhiro G YamadaLaboratory for Synthetic Biology, RIKEN Center for Biosystems Dynamics Research, Suita, Osaka 565-5241, Japan.
Kazunari MiyamichiDepartment of Applied Biological Chemistry, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Bunkyo-ku, Tokyo 113-8657, Japan.
Etsuo A SusakiLaboratory for Synthetic Biology, RIKEN Center for Biosystems Dynamics Research, Suita, Osaka 565-5241, Japan.
Kazushige TouharaDepartment of Applied Biological Chemistry, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Bunkyo-ku, Tokyo 113-8657, Japan.
Hiroki R UedaDepartment of Information Physics and Computing, Graduate School of Information Science and Technology, The University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan.
The University of Tokyo · JPRIKEN Center for Biosystems Dynamics Research · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Alzheimer DiseaseBrainAnimalsBrain MappingMiceNeuronsAlzheimer's diseasearcuate nucleus of the hypothalamusc-Foscloud computinginflammationKiss1light-sheet fluorescence microscopyLPSrabies virustissue clearing

Identifiers

PMID35475238
PMCPMC9017177
OpenAlexW3174087397

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.