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Updated: Jan 12, 2026
10:16
Mining Spatial Transcriptomics Datasets using DeepSpaceDB
Published on: September 5, 2025
632
CellSP enables module discovery and visualization for subcellular spatial transcriptomics data
Bhavay Aggarwal1, Saurabh Sinha2,3
1The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Communications Biology
|November 5, 2025
Summary
CellSP is a new computational framework that identifies and visualizes subcellular mRNA patterns. This tool reveals gene-cell modules, offering functional insights into diverse biological processes like brain development and disease.
Area of Science:
- Molecular Biology
- Bioinformatics
- Genomics
Background:
- Spatial transcriptomics allows studying mRNA distribution within cells, crucial for cellular function.
- Existing tools lack the ability to identify and interpret functionally relevant subcellular transcript patterns.
Purpose of the Study:
- To present CellSP, a computational framework for identifying, visualizing, and characterizing consistent subcellular spatial mRNA patterns.
- To introduce "gene-cell modules" representing gene sets with coordinated subcellular transcript distributions.
Main Methods:
- Development of CellSP, a computational framework.
- Utilizing "gene-cell modules" to analyze coordinated transcript distributions.
- Functional enrichment analysis of discovered modules.
Main Results:
- CellSP reliably identifies functionally significant modules across diverse tissues and technologies.
- Discovery of subcellular spatial phenomena related to myelination, axonogenesis, and synapse formation in the mouse brain.
- Identification of immune response modules in kidney cancer and myelination modules in Alzheimer's Disease models.
Conclusions:
- CellSP provides a powerful approach for dissecting subcellular transcript localization.
- The framework offers functional insights into biological processes and disease states.
- CellSP facilitates the discovery of novel spatial transcriptomic phenomena.
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