Evidence map›Paper›PMID 30371824›Full record

ArticleNucleic acids research2019

ViBrism DB: an interactive search and viewer platform for 2D/3D anatomical images of gene expression and co-expression networks.

Masahiko Morita, Kazuro Shimokawa, Masaomi Nishimura, Sakiko Nakamura, Yuki Tsujimura, Satoko Takemoto, Takehiro Tawara, Hideo Yokota, Shuhei Wemler, Daisuke Miyamoto and 7 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. 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

17 authors.

Masahiko MoritaRIKEN Center for Advanced Photonics, Wako, Saitama 351-0198, Japan.
Kazuro ShimokawaTohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi 980-8575, Japan.
Masaomi NishimuraRIKEN Center for Advanced Photonics, Wako, Saitama 351-0198, Japan.
Sakiko NakamuraRIKEN Center for Advanced Photonics, Wako, Saitama 351-0198, Japan.
Yuki TsujimuraRIKEN Center for Advanced Photonics, Wako, Saitama 351-0198, Japan.
Satoko TakemotoRIKEN Center for Advanced Photonics, Wako, Saitama 351-0198, Japan.
Takehiro TawaraRIKEN Center for Advanced Photonics, Wako, Saitama 351-0198, Japan.
Hideo YokotaRIKEN Center for Advanced Photonics, Wako, Saitama 351-0198, Japan.
Shuhei WemlerWemler Software, Nerima, Tokyo 177-0042, Japan.
Daisuke MiyamotoGraduate School of Engineering, The University of Tokyo, Meguro, Tokyo 153-0041, Japan.
Hidetoshi IkenoSchool of Human Science and Environment, University of Hyogo, Himeji, Hyogo 670-0092, Japan.
Akira SatoFaculty of Science and Technology, Tokyo University of Science, Noda, Chiba 278-8510, Japan.
Teiichi FuruichiFaculty of Science and Technology, Tokyo University of Science, Noda, Chiba 278-8510, Japan.
Norio KobayashiHead Office for Information Systems and Cybersecurity, RIKEN, Wako, Saitama 351-0198, Japan.
Yoshihiro OkumuraRIKEN Center for Brain Science, Wako, Saitama 351-0198, Japan.
Yoko YamaguchiRIKEN Center for Brain Science, Wako, Saitama 351-0198, Japan.
Yuko Okamura-OhoRIKEN Center for Advanced Photonics, Wako, Saitama 351-0198, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding anatomical structures and biological functions based on gene expression is critical in a systemic approach to address the complexity of the mammalian brain, where >25 000 genes are expressed in a precise manner. Co-expressed genes are thought to regulate cell type- or region-specific brain functions. Thus, well-designed data acquisition and visualization systems for profiling combinatorial gene expression in relation to anatomical structures are crucial. To this purpose, using our techniques of microtomy-based gene expression measurements and WebGL-based visualization programs, we mapped spatial expression densities of genome-wide transcripts to the 3D coordinates of mouse brains at four post-natal stages, and built a database, ViBrism DB (http://vibrism.neuroinf.jp/). With the DB platform, users can access a total of 172 022 expression maps of transcripts, including coding, non-coding and lncRNAs in the whole context of 3D magnetic resonance (MR) images. Co-expression of transcripts is represented in the image space and in topological network graphs. In situ hybridization images and anatomical area maps are browsable in the same space of 3D expression maps using a new browser-based 2D/3D viewer, BAH viewer. Created images are shareable using URLs, including scene-setting parameters. The DB has multiple links and is expandable by community activity.

Indexed as

Databases, GeneticAnimalsBrainGene ExpressionGene Regulatory NetworksImaging, Three-DimensionalMiceSoftware

Identifiers

PMID30371824
PMCPMC6324046

What OpenQuestion holds

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LicenceCC BY
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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.