A study on Carbon Nanotube-Gene Interaction in Induction of Glial Cells to Neuron Cell

Regeneration, Reconstruction & Restoration(2018)

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摘要
Introduction: Reprograming different cell to neuron have been yet remain attractive field in in regenerative medicine, so discovery new methods or improve exist methods could be helpful. In this study, we analysis the transcriptome data of glia and neuron cells to determine the different gene expression in both groups. Then based on this transcriptom data determine the gene chemical interaction to find the most important chemical structure which induce glia cell to neurons. Material and methods: Data extract from transcriptome database related rat cerebral cortex cells generated by RNAseq technique. By comparison neuron against glia cells (astrocyte, oligodenderocyte and microglia) determined different gene expression. In CTD database determined the most important chemical interact with this gene set. Then by using genetrail2 database determined mechanism of gene set associated to chemicals and miRNA enriched. Results: Result determined different chemical with risk factor and protective factor properties related to 500 genes that enriched in neuron in comparison with glia cells. Carbon nanotube is the first important chemicals that interact with 75 genes of 500. Gene ontology analysis determined carbon nanotube effect on genes that induce neurogenesis, neurodevelopment and differentiation. Genetrail2 release the 29 significant miRNAs enriched in gene interacts with carbon nanotube in which miR-34a and miR-449a are the most significant molecules. Network analysis on these genes represents Kit, Gria1, Syt1, Rab3c and Tubb3 have central roles in neurogenesis by carbon nanotube. Conclusion: In sum up, carbon nanotube is the electrical stimulation biomaterial that are biocompatible to induce glia cell to neuron which apply as devise lonely or combination with cell in damage part of neural tissue.
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关键词
tissue engineering, regenerative medicine, neuron cell, glia cell, carbon nanotube
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