4.7 Article

Qualitative transcriptional signatures for evaluating the maturity degree of pluripotent stem cell-derived cardiomyocytes

Journal

STEM CELL RESEARCH & THERAPY
Volume 10, Issue -, Pages -

Publisher

BMC
DOI: 10.1186/s13287-019-1205-1

Keywords

Pluripotent stem cell; Cardiomyocytes; Maturity score; Relative expression orderings

Funding

  1. National Natural Science Foundation of China [81870242, 81872396, 81572935, 81501203]
  2. Shanghai Committee of Science and Technology [18JC1414300, 16140904200]
  3. Fund of the Key Laboratory of Regenerative Biology of Chinese Academy of Science [KLRB201609]
  4. Fundamental Research Fund for the Central Universities

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BackgroundPluripotent stem cell-derived cardiomyocytes (PSC-CMs) are widely used models for regenerative medicine and disease research. However, PSC-CMs are usually immature in morphology and functionality and the maturity of PSC-CMs could not be determined accurately. In order to reasonably interpret the experimental results obtained by PSC-CMs, it is necessary to evaluate the maturity of PSC-CMs and find the key genes related to maturation.MethodsUsing the gene expression profiles of normal adult cardiac tissue and embryonic stem cell (ESC) samples, we identified gene pairs with identically relative expression orderings (REOs) within adult cardiac tissue but reversely identical in ESCs. Then, for a PSC-CM model, we calculated the maturity score as the percentage of these gene pairs that exhibit the same REOs in adult cardiac tissue. Lastly, the CellComp method was used to identify the maturation-related genes.ResultsThe maturity score increased gradually from 0.8401 for 18-week fetal cardiac tissue to 0.9997 for adult cardiac tissue. For four human PSC-CM models, the mature scores increased with prolonged culture time but were all below 0.8. The genes involved in energy metabolism, angiogenesis, immunity, and proliferation were dysregulated in the 1-year PSC-CMs compared with adult cardiac tissue.ConclusionWe proposed a qualitative transcriptional signature to score the maturity degree of PSC-CMs. This score can reasonably track the maturity of PSC-CMs and be used to compare different PSC-CM culture methods.

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