DNA methylation profiles provide a viable index for porcine pluripotent stem cells

Yoshikazu Arai, Jun Ohgane*, Shuh Hei Fujishiro, Kazuaki Nakano, Hitomi Matsunari, Masahito Watanabe, Kazuhiro Umeyama, Dai Azuma, Naomi Uchida, Nozomu Sakamoto, Tomohiro Makino, Shintaro Yagi, Kunio Shiota, Yutaka Hanazono, Hiroshi Nagashima

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

Porcine induced pluripotent stem cells (iPSCs) provide useful information for translational research. The quality of iPSCs can be assessed by their ability to differentiate into various cell types after chimera formation. However, analysis of chimera formation in pigs is a labor-intensive and costly process, necessitating a simple evaluation method for porcine iPSCs. Our previous study identified mouse embryonic stem cell (ESC)-specific hypomethylated loci (EShypo-T-DMRs), and, in this study, 36 genes selected from these were used to evaluate porcine iPSC lines. Based on the methylation profiles of the 36 genes, the iPSC line, Porco Rosso-4, was found closest to mouse pluripotent stem cells among 5 porcine iPSCs. Moreover, Porco Rosso-4 more efficiently contributed to the inner cell mass (ICM) of blastocysts than the iPSC line showing the lowest reprogramming of the 36 genes (Porco Rosso-622-14), indicating that the DNA methylation profile correlates with efficiency of ICM contribution. Furthermore, factors known to enhance iPSC quality (serum-free medium with PD0325901 and CHIR99021) improved the methylation status at the 36 genes. Thus, the DNA methylation profile of these 36 genes is a viable index for evaluation of porcine iPSCs. genesis 51:763-776.

Original languageEnglish
Pages (from-to)763-776
Number of pages14
JournalGenesis
Volume51
Issue number11
DOIs
Publication statusPublished - 2013 Nov
Externally publishedYes

Keywords

  • Epigenetics
  • Induced pluripotent stem cells
  • Translational research

ASJC Scopus subject areas

  • Endocrinology
  • Cell Biology
  • Genetics

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