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Structure of Cardiac Muscles01:13

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Cardiac muscle, or myocardium, is a specialized type of muscle found exclusively in the heart. Its unique structural and functional characteristics enable the heart to perform its vital role of pumping blood throughout the body continuously and rhythmically. The cardiac muscle cells, or cardiomyocytes, possess an endomysium and perimysium but do not have an epimysium.
Compared to skeletal muscles, cardiac muscle cells are small and mostly have a single nucleus. Additionally, they are usually...
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A Cardiac Microphysiological System for Studying Ca2+ Propagation via Non-genetic Optical Stimulation
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HeartMAP: A multi-chamber spatial framework for cardiac cell-cell communication.

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.

Computational and Structural Biotechnology Journal
|December 1, 2025
PubMed
Summary
This summary is machine-generated.

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.

Keywords:
Cardiac chambersCell-cell communicationSingle-cell RNA-seqSpatial transcriptomicsTherapeutic targets

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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.