Effects of superparamagnetic iron oxide nanoparticles and static magnetic fields on neural stem cell differentiation by transcriptomic techniques

  • Dan Li School of Biology, Food and Environment, Hefei University, Hefei, China
  • Xiangyu Ma State Key Laboratory of Bioelectronics, Department of Otolaryngology Head and Neck Surgery, Zhongda Hospital, School of Life Sciences and Technology, Advanced Institute for Life and Health, Jiangsu Province High-Tech Key Laboratory for Bio-Medical Research, Southeast University, Nanjing, China
  • Mingliang Tang Institute for Cardiovascular Science, Medical College, Soochow University, Suzhou, China
Keywords: SPIO, SMF, NSC, transcriptomic


Neural stem cells (NSCs)-based cell therapy provides promising treatment for the neurodegenerative diseases. The success of stem cell therapy relies on the efficient differentiation of transplanted stem cells into functional cells. Therefore, directed differentiation of NSCs into neurons is essential for its application in the neurodegenerative diseases. In recent years, magnetic fields and superparamagnetic iron oxide nanoparticles (SPIOs) have shown potential in the regulation of stem cell behaviors. Here, we investigated the regulatory effects of static magnetic fields (SMFs) and the combination with SPIO on NSC differentiation by transcriptome sequencing analysis techniques. Our results found that SPIOs caused more differentially expressed genes than SMF alone. Interestingly, the number of differentially expressed genes induced by the combination was less than that of SPIO alone, which may imply that the regulation is not a simple superposition effect. Our findings provide experimental evidence for the regulation of SMF and SPIO on NSC differentiation at the transcriptomic level.


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How to Cite
LiD., MaX., & TangM. (2022). Effects of superparamagnetic iron oxide nanoparticles and static magnetic fields on neural stem cell differentiation by transcriptomic techniques. STEMedicine, 3(3), e139. https://doi.org/10.37175/stemedicine.v3i3.139
Research articles