SMDB: a Spatial Multimodal Data Browser

Author:

Cao Ruifang1,Ling Yunchao1,Meng Jiayue1,Jiang Ao2,Luo Ruijin3,He Qinwen1,Li Anan45,Chen Yujie1,Zhang Zoutao4,Liu Feng2,Li Yixue16,Zhang Guoqing1ORCID

Affiliation:

1. National Genomics Data Center& Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Science , Shanghai  200031, China

2. School of Computer Science, Wuhan University , Wuhan  430072, China

3. Shanghai Southgene Technology Co., Ltd. , Shanghai  201203, China

4. Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology , Wuhan  430074, China

5. HUST-Suzhou Institute for Brainsmatics, JITRI Institute for Brainsmatics , Suzhou  215123, China

6. Guangzhou Laboratory , Guangzhou  510005, China

Abstract

Abstract Understanding the relationship between fine-scale spatial organization and biological function necessitates a tool that effectively combines spatial positions, morphological information, and spatial transcriptomics (ST) data. We introduce the Spatial Multimodal Data Browser (SMDB, https://www.biosino.org/smdb), a robust visualization web service for interactively exploring ST data. By integrating multimodal data, such as hematoxylin and eosin (H&E) images, gene expression-based molecular clusters, and more, SMDB facilitates the analysis of tissue composition through the dissociation of two-dimensional (2D) sections and the identification of gene expression-profiled boundaries. In a digital three-dimensional (3D) space, SMDB allows researchers to reconstruct morphology visualizations based on manually filtered spots or expand anatomical structures using high-resolution molecular subtypes. To enhance user experience, it offers customizable workspaces for interactive exploration of ST spots in tissues, providing features like smooth zooming, panning, 360-degree rotation in 3D and adjustable spot scaling. SMDB is particularly valuable in neuroscience and spatial histology studies, as it incorporates Allen's mouse brain anatomy atlas for reference in morphological research. This powerful tool provides a comprehensive and efficient solution for examining the intricate relationships between spatial morphology, and biological function in various tissues.

Funder

National Major Scientific Instrument and Equipment Development Project of NSFC

Strategic Priority Research Program of the Chinese Academy of Sciences

National Key R&D Program of China

Phase II External Project of Ningbo Institute of Life and Health Industry of University of Chinese Academy of Sciences

Shandong Academician Workstation Program

Shanghai Municipal Science and Technology

Publisher

Oxford University Press (OUP)

Subject

Genetics

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