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Updated: Feb 22, 2026

Assessing Cardiomyocyte Subtypes Following Transcription Factor-mediated Reprogramming of Mouse Embryonic Fibroblasts
Published on: March 22, 2017
Comparative Gene Expression Analyses Reveal Distinct Molecular Signatures between Differentially Reprogrammed
Yang Zhou1, Li Wang1, Ziqing Liu1
1Department of Pathology and Laboratory Medicine, University of North Carolina, Chapel Hill, Chapel Hill, NC 27599, USA; McAllister Heart Institute, University of North Carolina, Chapel Hill, Chapel Hill, NC 27599, USA.
Induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) and directly reprogrammed induced cardiomyocytes (iCMs) show distinct epigenetic and metabolic profiles. iCMs more closely resemble adult cardiomyocytes, offering insights into cardiac regeneration and disease modeling strategies.
Area of Science:
- Cardiovascular Biology
- Stem Cell Biology
- Molecular Cardiology
Background:
- Induced pluripotent stem cells (iPSC-CMs) and directly reprogrammed induced cardiomyocytes (iCMs) are key for cardiac regeneration and disease modeling.
- Understanding the molecular distinctions between iPSC-CMs and iCMs is crucial for optimizing their use.
Purpose of the Study:
- To compare the molecular, epigenetic, and metabolic characteristics of iPSC-CMs and iCMs.
- To elucidate differences in maturation status and cell-cycle regulation between these two cardiomyocyte types.
Main Methods:
- Transcriptome analysis of beating iPSC-CMs and iCMs derived from cardiac fibroblasts.
- Gene expression analysis of metabolic enzymes and cell-cycle regulators.
Main Results:
- Both iPSC-CMs and iCMs acquire cardiomyocyte-like molecular features.
- iPSC-CMs display a hyperdynamic epigenetic status, while iCMs show enhanced maturation resembling adult cardiomyocytes.
- iPSC-CMs primarily use glycolysis, whereas iCMs rely on fatty acid oxidation; cell-cycle status impacts maturation.
Conclusions:
- iPSC-CMs and iCMs possess distinct biological properties influencing their potential applications.
- This comparative analysis provides a foundation for selecting appropriate reprogramming strategies for cardiac research and therapy.

