Kim Tae-Hyung, Shah Shreyas, Yang Letao, Yin Perry T, Hossain Md Khaled, Conley Brian, Choi Jeong-Woo, Lee Ki-Bum
†Department of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, 610 Taylor Road, Piscataway, New Jersey 08854, United States.
‡Department of Biomedical Engineering, Rutgers, The State University of New Jersey, 599 Taylor Road, Piscataway, New Jersey 08854, United States.
ACS Nano. 2015;9(4):3780-90. doi: 10.1021/nn5066028. Epub 2015 Apr 8.
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.
通过调节生物物理线索（如微图案、纳米图案、基质的弹性和孔隙率）来控制干细胞命运，已成为基于干细胞的研究中一种有吸引力的方法。在此，我们报告一种制备氧化石墨烯（GO）组合图案的方法，以有效控制人脂肪间充质干细胞（hADMSC）的分化。特别地，GO线图案对于调节hADMSC的形态非常有效，从而增强hADMSC向成骨细胞的分化。此外，通过生成GO网格图案，我们证明了中胚层干细胞向外胚层神经元细胞的高效转化（转化效率 = 30%），这是由于网格图案能够模拟相互连接/伸长的神经元网络。这项工作为开发用于控制干细胞分化的组合石墨烯混合图案阵列提供了早期示范，这可能会导致基于干细胞的更有效治疗不治之症/疾病。
