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, Hidetoshi Ikeno, Akira Sato, Teiichi Furuichi, Norio Kobayashi, Yoshihiro Okumura, Yoko Yamaguchi, Yuko Okamura-Oho

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


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 regionspecific 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 ofmicrotomy-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 ( 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 scenesetting parameters. The DB has multiple links and is expandable by community activity.

Original languageEnglish
Pages (from-to)D859-D866
JournalNucleic acids research
Issue numberD1
Publication statusPublished - 2019 Jan 8

ASJC Scopus subject areas

  • Genetics


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