Related Experiment Video
Updated: Jun 6, 2025
09:19
Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
Published on: July 6, 2022
4.8K
stMMR: accurate and robust spatial domain identification from spatially resolved transcriptomics with multimodal
Daoliang Zhang1, Na Yu1, Zhiyuan Yuan2
1Center of Intelligent Medicine, School of Control Science and Engineering, Shandong University, Jinan 250061, China.
Gigascience
|November 28, 2024
Summary
We developed stMMR, a multimodal geometric deep learning method, to integrate gene expression, spatial location, and histology data for accurate spatial domain identification in spatially resolved transcriptomics (SRT). This method enhances understanding of tissue architecture in development and disease.
Area of Science:
- Computational Biology
- Genomics
- Bioinformatics
Background:
- Spatially resolved transcriptomics (SRT) is crucial for understanding tissue architecture.
- Analyzing multimodal SRT data is challenging due to data heterogeneity and resolution variations.
Purpose of the Study:
- To introduce stMMR, a novel multimodal geometric deep learning method.
- To accurately identify spatial domains from multimodal SRT data by integrating diverse information.
Main Methods:
- Utilized graph convolutional networks and a self-attention module for feature embedding.
- Employed similarity contrastive learning to integrate multimodal features.
- Developed a multimodal geometric deep learning approach (stMMR).
Main Results:
- stMMR demonstrated superior performance in spatial domain identification, pseudo-spatiotemporal analysis, and gene discovery across various datasets.
- Accurately reconstructed spatiotemporal lineage structures during chicken heart development.
- Clearly delineated tumor microenvironments and identified diagnostic/prognostic marker genes in breast and lung cancers.
Conclusions:
- stMMR effectively integrates multimodal SRT data to characterize tissue architectures.
- The method is applicable to diverse biological contexts including homeostasis, development, and tumors.
- stMMR provides valuable insights into tissue organization and disease mechanisms.
