HeartMAP : A multi-chamber spatial framework for cardiac cell-cell communication

dc.contributor.authorKgabeng, Tumo
dc.contributor.authorWang, Lulu
dc.contributor.authorNgwangwa, Harry
dc.contributor.authorPandelani, Thanyani
dc.contributor.departmentDepartment of Engineering
dc.date.accessioned2026-10-01T14:42:01Z
dc.date.available2026-10-01T14:42:01Z
dc.date.issued2025-01
dc.descriptionPublisher Copyright: © 2025en
dc.description.abstractUnderstanding 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.en
dc.description.versionPeer revieweden
dc.format.extent16
dc.format.extent4605820
dc.format.extent4976-4991
dc.identifier.citationKgabeng, T, Wang, L, Ngwangwa, H & Pandelani, T 2025, 'HeartMAP : A multi-chamber spatial framework for cardiac cell-cell communication', Computational and Structural Biotechnology Journal, vol. 27, pp. 4976-4991. https://doi.org/10.1016/j.csbj.2025.11.015en
dc.identifier.doi10.1016/j.csbj.2025.11.015
dc.identifier.issn2001-0370
dc.identifier.other251019986
dc.identifier.other6ee4e6e1-a199-46b8-bd60-0e8d233edd29
dc.identifier.other105021852130
dc.identifier.urihttps://hdl.handle.net/20.500.11815/8465
dc.language.isoen
dc.relation.ispartofseriesComputational and Structural Biotechnology Journal; 27()en
dc.relation.urlhttps://www.scopus.com/pages/publications/105021852130en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.subjectCardiac chambersen
dc.subjectCell-cell communicationen
dc.subjectSingle-cell RNA-seqen
dc.subjectSpatial transcriptomicsen
dc.subjectTherapeutic targetsen
dc.subjectBiotechnologyen
dc.subjectStructural Biologyen
dc.subjectBiophysicsen
dc.subjectBiochemistryen
dc.subjectGeneticsen
dc.subjectComputer Science Applicationsen
dc.titleHeartMAP : A multi-chamber spatial framework for cardiac cell-cell communicationen
dc.type/dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/articleen

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