Evidence map›Paper›PMID 26448360›Full record

ArticleNature protocols2015

Advanced CUBIC protocols for whole-brain and whole-body clearing and imaging.

Etsuo A Susaki, Kazuki Tainaka, Dimitri Perrin, Hiroko Yukinaga, Akihiro Kuno, Hiroki R Ueda

Abstract read
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In one paragraph

Article in Nature protocols, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 463 papers.

0numbers the graph read from it
0cells of the map it votes in
463citing papers in PubMed
–field-weighted citation impact
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

463 citing papers in PubMed.

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  11. Assessing the Effects of a 3-Dimensional (3D) Pathology Tissue-Processing Workflow on Downstream Molecular Analyses.Laboratory investigation; a journal of technical methods and pathology · 2026
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  19. Review
  20. VipCell reports · 2026
    Article

403 more citing papers are in PubMed but not listed here.

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

6 authors.

Etsuo A SusakiDepartment of Systems Pharmacology, The University of Tokyo, Tokyo, Japan.
Kazuki TainakaDepartment of Systems Pharmacology, The University of Tokyo, Tokyo, Japan.
Dimitri PerrinSchool of Electrical Engineering and Computer Science, Science and Engineering Faculty, Queensland University of Technology (QUT), Brisbane, Queensland, Australia.
Hiroko YukinagaLaboratory for Synthetic Biology, RIKEN Quantitative Biology Center (QBiC), Osaka, Japan.
Akihiro KunoDepartment of Systems Pharmacology, The University of Tokyo, Tokyo, Japan.
Hiroki R UedaDepartment of Systems Pharmacology, The University of Tokyo, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here we describe a protocol for advanced CUBIC (Clear, Unobstructed Brain/Body Imaging Cocktails and Computational analysis). The CUBIC protocol enables simple and efficient organ clearing, rapid imaging by light-sheet microscopy and quantitative imaging analysis of multiple samples. The organ or body is cleared by immersion for 1-14 d, with the exact time required dependent on the sample type and the experimental purposes. A single imaging set can be completed in 30-60 min. Image processing and analysis can take <1 d, but it is dependent on the number of samples in the data set. The CUBIC clearing protocol can process multiple samples simultaneously. We previously used CUBIC to image whole-brain neural activities at single-cell resolution using Arc-dVenus transgenic (Tg) mice. CUBIC informatics calculated the Venus signal subtraction, comparing different brains at a whole-organ scale. These protocols provide a platform for organism-level systems biology by comprehensively detecting cells in a whole organ or body.

Indexed as

AnimalsBrainImage Processing, Computer-AssistedMiceMicroscopyOptical ImagingPathology

Identifiers

PMID26448360

What OpenQuestion holds

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Registered trials

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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.