cmoRe

cmoRe performs single-cell morphological analysis of heterogeneous primary cardiomyocytes to deconvolve morphology and link cellular phenotypes to genetic and treatment-related factors in cardiovascular studies.

Key Features:

• R package cmoRe: Analysis is implemented using the R package cmoRe for morphological feature extraction and single-cell analysis.
• Single-cell morphological analysis: Enables robust extraction and quantification of morphology at the single-cell level in primary cardiomyocytes.
• Deconvolution of cardiomyocyte morphology: Performs deconvolution to separate heterogeneous morphological states within primary cardiomyocyte populations.
• Integration with experimental data: Supports integration of bench-level experimental procedures with downstream data analysis workflows.
• Pathway modulation studies: Applied in proof-of-principle analyses of modulation of canonical hypertrophy pathways.
• Genotype–phenotype linkage: Enables establishment of genotype–phenotype linkages in human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs).
• Disease fingerprinting: Identifies disease-specific morphological fingerprints in cardiomyocytes exposed to blood plasma before and after aortic valve replacement.

Scientific Applications:

• Cardiomyocyte heterogeneity analysis: Deconvolution and characterization of cellular heterogeneity in primary cardiomyocytes.
• Cellular phenotype mapping: Investigation of cellular states and functionalities relevant to cardiovascular research.
• Hypertrophy pathway research: Analysis of modulation effects on canonical hypertrophy pathways.
• Genotype–phenotype studies in hiPSC-CMs: Linking genetic variants to morphological phenotypes in hiPSC-derived cardiomyocytes.
• Biomarker and therapeutic assessment: Detection of disease-specific morphological fingerprints and assessment of changes before and after aortic valve replacement to evaluate therapeutic effects and partial reversibility.
• Personalized medicine investigations: Support for phenotype-driven studies relevant to personalized cardiovascular interventions.

Methodology:

Computational analysis is performed using the R package cmoRe to conduct single-cell morphological analysis and deconvolution of cardiomyocyte morphology.