Literature DB >> 31288132

Transcriptomic profiling of neural stem cell differentiation on graphene substrates.

Mingliang Tang1, Jian Li2, Li He3, Rongrong Guo3, Xiaoqian Yan3, Dan Li3, Yuhua Zhang3, Menghui Liao3, Buwei Shao3, Yangnan Hu3, Yun Liu3, Qilin Tang4, Lin Xia3, Xing Guo5, Renjie Chai6.   

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.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Differentiation; Graphene; Neural stem cells; Transcriptomic profiling

Mesh:

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Year:  2019        PMID: 31288132     DOI: 10.1016/j.colsurfb.2019.06.054

Source DB:  PubMed          Journal:  Colloids Surf B Biointerfaces        ISSN: 0927-7765            Impact factor:   5.268


  10 in total

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  10 in total

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