Neuronal differentiation of a human induced pluripotent stem cell line (FS-1) derived from newborn foreskin fibroblasts

Jihye Kwon, Nayeon Lee, Iksoo Jeon, Hey Jin Lee, Jeong Tae Do, Dong Ryul Lee, Seung Hun Oh, Dong Ah Shin, Aeri Kim, Jihwan Song

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)


Isolation of induced pluripotent stem cells (iPSCs) from fully differentiated somatic cells has revolutionized existing concepts of cell differentiation and stem cells. Importantly, iPSCs generated from somatic cells of patients can be used to model different types of human diseases. They may also serve as autologous cell sources that can be used in transplantation therapy. In this study, we investigated the neuronal properties of an iPSC line that is derived from human neonatal foreskin fibroblasts (FS-1). We initially examined the morphology and marker expression of FS-1 cells at undifferentiated stage. We then spontaneously differentiated FS-1 cells in suspension culture and examined the expression of markers representing three germ layers. We finally differentiated FS-1 cells into neuronal lineages by co-culturing them with PA6 stromal cells, and found that, under the conditions we used, they have a tendency to differentiate into more forebrain-type neurons, suggesting that FS-1 iPSC-derived neural cells will be useful to be used in cell therapy of stroke or Huntington's disease, among others. Taken together, FS-1 cells derived from human neonatal fibroblasts exhibit very similar properties with human ES cells, and can provide useful sources for cell therapy and various other applications.

Original languageEnglish
Pages (from-to)140-145
Number of pages6
JournalInternational Journal of Stem Cells
Issue number2
Publication statusPublished - 2012

All Science Journal Classification (ASJC) codes

  • Developmental Biology
  • Cell Biology


Dive into the research topics of 'Neuronal differentiation of a human induced pluripotent stem cell line (FS-1) derived from newborn foreskin fibroblasts'. Together they form a unique fingerprint.

Cite this