Transcriptomic profiling of neural stem cell differentiation on graphene substrates

Mingliang Tang*, Jian Li, Li He, Rongrong Guo, Xiaoqian Yan, Dan Li, Y. Zhang, Menghui Liao, B. Shao, Yangnan Hu, Yun Liu, Q. Tang, Lin Xia, Xing Guo, Renjie Chai

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

29 Citations (Scopus)

Abstract

Graphene exhibits excellent mechanical strength, electrical conductivity and good biocompatibility, which make it a suitable candidate as a neural interfacing material in regenerative medicine and tissue engineering. Graphene is reported to promote both of neural stem cells (NSCs) proliferation and differentiation. However, the transcriptomes of 2D graphene-regulated NSC differentiation have not yet been investigated. To identify candidate genes, on which graphene may affect, we used next-generation RNA sequencing to analyze the transcriptome of NSCs differentiated for 21 days on a graphene substrate. These NSCs displayed highly enriched and differentially expressed genes compared with traditional cell culture in vitro. Of these, we identified motor protein genes that might regulate NSC differentiation, including cytoplasmic dynein and axonemal dynein genes, Ccdc108, Dnah5, and Dnah11. Furthermore, we analyzed the cell signaling pathway genes that might regulate NSC differentiation, and we constructed a protein-protein interaction network for the genes that are differentially expressed in NSCs on graphene compared to commercial tissue culture polystyrene substrates. We have identified genes potentially regulating the differentiation and migration of NSCs on graphene substrates, and our findings provide mechanistic evidence for the biological activities of graphene, especially in view of graphene-stem cell interactions.

Original languageEnglish
Article number110324
JournalColloids and Surfaces B: Biointerfaces
Volume182
DOIs
Publication statusPublished - 1 Oct 2019
Externally publishedYes

Keywords

  • Differentiation
  • Graphene
  • Neural stem cells
  • Transcriptomic profiling

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