• Title of article

    Enhanced differentiation of human neural crest stem cells towards the Schwann cell lineage by aligned electrospun fiber matrix

  • Author/Authors

    Ren، نويسنده , , Yong-Juan and Zhang، نويسنده , , Shuming and Mi، نويسنده , , Ruifa and Liu، نويسنده , , Qiuyue and Zeng، نويسنده , , Xianmin and Rao، نويسنده , , Mahendra and Hoke، نويسنده , , Ahmet and Mao، نويسنده , , Hai-Quan، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2013
  • Pages
    10
  • From page
    7727
  • To page
    7736
  • Abstract
    Human pluripotent stem cell-derived neural crest stem cells (NCSCs) provide a promising cell source for generating Schwann cells in the treatment of neurodegenerative diseases and traumatic injuries in the peripheral nervous system. Influencing cell behavior through a synthetic matrix topography has been shown to be an effective approach to directing stem cell proliferation and differentiation. Here we have investigated the effect of nanofiber topography on the differentiation of human embryonic stem cell-derived NCSCs towards the Schwann cell lineage. Using electrospun fibers of different diameters and alignments we demonstrated that aligned fiber matrices effectively induced cell alignment, and that fiber matrices with average diameters of 600 nm and 1.6 μm most effectively promoted NCSC differentiation towards the Schwann cell lineage compared with random fibers and two-dimensional tissue culture plates. More importantly, human NCSCs that were predifferentiated in Schwann cell medium for 2 weeks exhibited higher sensitivity to the aligned fiber topography than undifferentiated NCSCs. This study provides an efficient protocol for Schwann cell derivation by combining an aligned nanofiber matrix and an optimized differentiation medium, and highlights the importance of matching extrinsic matrix signaling with cell intrinsic programming in a temporally specific manner.
  • Keywords
    ALIGNMENT , Electrospun fibers , Neural crest stem cells , Schwann cells , Differentiation
  • Journal title
    Acta Biomaterialia
  • Serial Year
    2013
  • Journal title
    Acta Biomaterialia
  • Record number

    1757314