Transcriptome-wide RNA 5-methylcytosine profiles of human iPSCs and iPSC-derived cardiomyocytes

Szu Ying Chen, Yi Hsien Fang, Chen Yu Huang, Jou Hsien Wu, Yan Shen Shan, Yen Wen Liu, Po Hsien Huang

Research output: Contribution to journalArticlepeer-review

Abstract

Cardiac regenerative therapy has recently progressed by reprogramming somatic cells into induced pluripotent stem cells (iPSCs) and advanced by large-scale differentiation-derived cardiomyocytes (hiPSC-CMs). However, repairing damaged cardiac tissues with hiPSC-CMs remains limited due to immune rejection, cardiac arrhythmias, and concerns over tumor formation after hiPSC-CM transplantation. Despite efforts in profiling epigenomic changes during cardiac differentiation, regulatory mechanisms underlying 5-methylcytosine (m5C) deposition in RNA m5C epitranscriptomic landscape during hiPSC-to-cardiomyocyte differentiation remain unclear. Herein, bisulfite RNA-sequencing analysis was conducted in human pluripotent stem cells (hPSCs) from three independent cellular origins, and their derived cardiomyocytes (hPSC-CM), metabolic-maturation of derived cardiomyocytes (hPSC-CM-lac) and biochemical-enhanced derived cardiomyocytes (hPSC-CM-TDI). Integrated analysis of differentially methylated RNA m5C profiles and transcriptome-wide expression facilitated the identification of m5C sites coupled to the cardiomyocyte differentiation and RNA-dependent regulatory mechanisms of stem cell pluripotency. The RNA m5C profiles in this dataset allow the evaluations of the m5C level and distribution of specific m5C loci and facilitate understanding of the m5C epitranscriptomic landscape in biological functions of hPSC-CM beyond in vivo transplantation barriers.

Original languageEnglish
Article number1378
JournalScientific Data
Volume11
Issue number1
DOIs
Publication statusPublished - 2024 Dec

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Information Systems
  • Education
  • Computer Science Applications
  • Statistics, Probability and Uncertainty
  • Library and Information Sciences

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