期刊
ACS NANO
卷 9, 期 4, 页码 3780-3790出版社
AMER CHEMICAL SOC
DOI: 10.1021/nn5066028
关键词
graphene arrays; combinatorial pattern; cell morphology; adipose-derived stem cells; differentiation
类别
资金
- National Research Foundation of Korea (NRF) - Korea government (MSIP) [2014R1A2A1A10051725]
- NIH [1R21NS085569-01]
- National Research Foundation of Korea [2014R1A2A1A10051725] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
Control of stem cell fate by modulating biophysical cues (e.g., micropatterns, nanopatterns, elasticity and porosity of the substrates) has emerged as an attractive approach in stem cell-based research. Here, we report a method for fabricating combinatorial patterns of graphene oxide (GO) to effectively control the differentiation of human adipose-derived mesenchymal stem cells (hADMSCs). In particular, GO line patterns were highly effective for modulating the morphology of hADMSCs, resulting in enhanced differentiation of hADMSCs into osteoblasts. Moreover, by generating GO grid patterns, we demonstrate the highly efficient conversion of mesodermal stem cells to ectodermal neuronal cells (conversion efficiency = 30%), due to the ability of the grid patterns to mimic interconnected/elongated neuronal networks. This work provides an early demonstration of developing combinatorial graphene hybrid-pattern arrays for the control of stem cell differentiation, which can potentially lead to more effective stem cell-based treatment of incurable diseases/disorders.
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