HeartMAP: A multi-chamber spatial framework for cardiac cell-cell communication
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Updated: Jan 9, 2026

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Published on: March 21, 2025
Tumo Kgabeng1, Lulu Wang1,2, Harry Ngwangwa1
1Unisa Biomedical Engineering Research Group, Department of Mechanical, Bioresources, and Biomedical Engineering, School of Engineering, College of Science, Engineering, and Technology, University of South Africa, Florida Science Campus, South Africa.
Insights
Researchers developed HeartMAP, a computational framework to map cardiac cell-cell communication networks across heart chambers. This tool identifies chamber-specific pathways and potential therapeutic targets for cardiovascular diseases.
Area of Science:
- Cardiovascular Biology
- Computational Biology
- Genomics
Background:
- Understanding cardiac cell-cell communication is crucial for elucidating heart function and disease.
- Existing methods for mapping chamber-specific intercellular networks are limited.
Purpose of the Study:
- To present HeartMAP (Heart Multi-chamber Analysis Platform), a computational framework for inferring cardiac cell-cell communication networks at chamber resolution.
- To identify chamber-specific cell populations, communication networks, and therapeutic targets in the human heart.
Main Methods:
- Integration of single-cell RNA-seq co-expression patterns and ligand-receptor interaction databases.
- A three-tier analytical approach: basic pipeline analysis, advanced communication modeling, and multi-chamber atlas construction.
- Analysis of 287,269 cells from seven healthy human heart donors.
Main Results:
- Identified conserved and chamber-specific signaling pathways.
- Demonstrated highest communication similarity between ventricles (r=0.985) and lowest between left atrium and left ventricle (r=0.870).
- Identified atrial cardiomyocytes and adipocytes as key signaling centers; revealed over 150 differentially expressed genes per chamber pair.
Conclusions:
- Established a molecular foundation for precision cardiology.
- Enables chamber-specific therapeutic strategies for improved cardiovascular disease treatment outcomes.
- HeartMAP is available as a Python package and web interface.
Abstract:
Understanding cell-cell communication within and between the four distinct cardiac chambers is fundamental to elucidating cardiac function and disease mechanisms. Each chamber exhibits unique cellular and molecular characteristics that reflect specialised physiological roles, yet existing frameworks for mapping chamber-specific intercellular networks have remained limited. Here, we present HeartMAP (Heart Multi-chamber Analysis Platform), a computational framework that infers cardiac cell-cell communication networks at chamber resolution through integration of single-cell RNA-seq co-expression patterns and ligand-receptor interaction databases. Using a dataset of 287,269 cells from seven healthy human heart donors (Single Cell Portal SCP498), we identified chamber-specific cell populations, communication networks, and therapeutic targets. HeartMAP employs a progressive three-tier analytical approach comprising basic pipeline analysis, advanced communication modelling and multi-chamber atlas construction to reveal both conserved and chamber-specific signalling pathways; cross-chamber correlation analysis demonstrated the highest similarity between ventricles (r = 0.985) and the lowest between left atrium and left ventricle (r = 0.870), reflecting functional specialisation. Communication hub analysis identified atrial cardiomyocytes and adipocytes as key signalling centres with hub scores of 0.037-0.047, while differential expression analysis revealed over 150 significantly different genes per chamber pair. These findings establish a molecular foundation for precision cardiology approaches, enabling chamber-specific therapeutic strategies that could improve treatment outcomes for cardiovascular diseases. HeartMAP is freely available as a Python package than can be installed using "pip install heartmap", the package's documentation can be found on https://pypi.org/project/heartmap/, it can also be accessed via a user-friendly web interface freely available at https://huggingface.co/spaces/Tumo505/heartmap-cell-analysis.
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