Skip to main navigation Skip to search Skip to main content

Enhanced neural stem cell functions in conductive annealed carbon nanofibrous scaffolds with electrical stimulation

  • Wei Zhu
  • , Tao Ye
  • , Se Jun Lee
  • , Haitao Cui
  • , Shida Miao
  • , Xuan Zhou
  • , Danmeng Shuai
  • , Lijie Grace Zhang
  • George Washington University

Research output: Contribution to journalArticlepeer-review

99 Scopus citations

Abstract

Carbon-based nanomaterials have shown great promise in regenerative medicine because of their unique electrical, mechanical, and biological properties; however, it is still difficult to engineer 2D pure carbon nanomaterials into a 3D scaffold while maintaining its structural integrity. In the present study, we developed novel carbon nanofibrous scaffolds by annealing electrospun mats at elevated temperature. The resultant scaffold showed a cohesive structure and excellent mechanical flexibility. The graphitic structure generated by annealing renders superior electrical conductivity to the carbon nanofibrous scaffold. By integrating the conductive scaffold with biphasic electrical stimulation, neural stem cell proliferation was promoted associating with upregulated neuronal gene expression level and increased microtubule-associated protein 2 immunofluorescence, demonstrating an improved neuronal differentiation and maturation. The findings suggest that the integration of the conducting carbon nanofibrous scaffold and electrical stimulation may pave a new avenue for neural tissue regeneration.

Original languageEnglish
Pages (from-to)2485-2494
Number of pages10
JournalNanomedicine: Nanotechnology, Biology, and Medicine
Volume14
Issue number7
DOIs
StatePublished - Oct 2018

Keywords

  • Carbon nanofiber
  • Conductive nanomaterial
  • Electrical stimulation
  • Neural differentiation
  • Neural stem cell

Fingerprint

Dive into the research topics of 'Enhanced neural stem cell functions in conductive annealed carbon nanofibrous scaffolds with electrical stimulation'. Together they form a unique fingerprint.

Cite this