Evidence map›Paper›PMID 29507408›Full record

ArticleNature neuroscience2018

A three-dimensional single-cell-resolution whole-brain atlas using CUBIC-X expansion microscopy and tissue clearing.

Tatsuya C Murakami, Tomoyuki Mano, Shu Saikawa, Shuhei A Horiguchi, Daichi Shigeta, Kousuke Baba, Hiroshi Sekiya, Yoshihiro Shimizu, Kenji F Tanaka, Hiroshi Kiyonari and 4 more

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Article in Nature neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 169 papers.

0numbers the graph read from it
0cells of the map it votes in
169citing papers in PubMed
15.1field-weighted citation impact, top 1% 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

169 citing papers in PubMed, 305 citations in OpenAlex.

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  17. Color-neutral and reversible tissue transparency enables longitudinal deep-tissue imaging in live mice.Proceedings of the National Academy of Sciences of the United States of America · 2025
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109 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

14 authors at 8 institutions in 2 countries.

Tatsuya C MurakamiDepartment of Systems Pharmacology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Tomoyuki ManoDepartment of Systems Pharmacology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Shu SaikawaDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan.
Shuhei A HoriguchiLaboratory for Synthetic Biology, RIKEN Quantitative Biology Center, Osaka, Japan.
Daichi ShigetaDepartment of Systems Pharmacology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Kousuke BabaDepartment of Neurology, Graduate School of Medicine, Osaka University, Osaka, Japan.
Hiroshi SekiyaDepartment of Pharmacology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Yoshihiro ShimizuLaboratory for Cell-Free Protein Synthesis, RIKEN Quantitative Biology Center, Osaka, Japan.
Kenji F TanakaDepartment of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.
Hiroshi KiyonariAnimal Resource Development Unit and Genetic Engineering Team, RIKEN Center for Life Science Technologies, Kobe, Japan.
Masamitsu IinoDepartment of Pharmacology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Hideki MochizukiDepartment of Neurology, Graduate School of Medicine, Osaka University, Osaka, Japan.ORCID http://orcid.org/0000-0002-0874-7542
Kazuki TainakaDepartment of Systems Pharmacology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Hiroki R UedaDepartment of Systems Pharmacology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan. uedah-tky@umin.ac.jp.ORCID http://orcid.org/0000-0001-8342-9176
The University of Tokyo · JPThe University of Osaka · JPKeio University · JPNihon University · JPNiigata University · JPOsaka Health Science University · JPProtein Research Foundation · JPSynthetic Genomics (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A three-dimensional single-cell-resolution mammalian brain atlas will accelerate systems-level identification and analysis of cellular circuits underlying various brain functions. However, its construction requires efficient subcellular-resolution imaging throughout the entire brain. To address this challenge, we developed a fluorescent-protein-compatible, whole-organ clearing and homogeneous expansion protocol based on an aqueous chemical solution (CUBIC-X). The expanded, well-cleared brain enabled us to construct a point-based mouse brain atlas with single-cell annotation (CUBIC-Atlas). CUBIC-Atlas reflects inhomogeneous whole-brain development, revealing a significant decrease in the cerebral visual and somatosensory cortical areas during postnatal development. Probabilistic activity mapping of pharmacologically stimulated Arc-dVenus reporter mouse brains onto CUBIC-Atlas revealed the existence of distinct functional structures in the hippocampal dentate gyrus. CUBIC-Atlas is shareable by an open-source web-based viewer, providing a new platform for whole-brain cell profiling.

Indexed as

Brain MappingImaging, Three-DimensionalAge FactorsAnimalsBrainIndicators and ReagentsMaleMiceMice, Inbred C57BLMicroscopyNeuronsOptical ImagingSingle-Cell AnalysisIndicators and Reagents

Identifiers

PMID29507408
OpenAlexW2790770291

What OpenQuestion holds

Textmetadata
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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.