4.8 Article

Template synthesized poly(ε-caprolactone) nanowire surfaces for neural tissue engineering

期刊

BIOMATERIALS
卷 31, 期 13, 页码 3492-3501

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.biomaterials.2010.01.084

关键词

poly(epsilon-caprolactone) nanowires; Neural tissue engineering; Neuronal network; Nanotemplating; PC12 cells

资金

  1. National Science Foundation (NSF) [CBET-0827827]
  2. NSF-REU
  3. Directorate For Engineering
  4. Div Of Chem, Bioeng, Env, & Transp Sys [0827827] Funding Source: National Science Foundation

向作者/读者索取更多资源

Tissue engineering therapies targeted at nerve regeneration in spinal cord injuries (SCI) have broad social and economic benefits to the American population. Due to the complicated pathophysiology of SCI, there are very few options available for functional regeneration of the spinal column. Nanotechnology offers interesting avenues to explore tissue engineering in SCI. In this study, we have developed a novel solvent free nanotemplating technique for fabricating poly(epsilon-caprolactone) (PCL) surfaces with controlled arrays of high aspect ratio substrate-bound nanowires for the growth and maintenance of differentiated states of neuronal cells. PC12 cells were used to evaluate the ability of nanowire surfaces to promote neuronal phenotypic behavior. Cell adhesion, proliferation and viability were investigated for up to 4 days of culture using fluorescence microscopy, scanning electron microscopy (SEM) and MIT activity. Our results indicate significantly higher cell adhesion and subsequent proliferation and viability of PC12 cells cultured on nanowire surfaces as compared to control surfaces without any nanoarchitecture. Further, the adhered cells were maintained in a differentiated state for 7 days and neuronal network formation and expression of neuronal markers were investigated using fluorescence microscopy, SEM and immunofluorescence. Cells on nanowire surfaces expressed key neuronal markers and demonstrated neuronal phenotypic behavior as compared to the cells on control surfaces. (C) 2010 Elsevier Ltd. All rights reserved.

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