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Monosialotetrahexosyl ganglioside at an optimal concentration: inducing neuron-like differentiation of human umbilical cord mesenchymal stem cells / 中国组织工程研究
Article in Zh | WPRIM | ID: wpr-698655
Responsible library: WPRO
ABSTRACT
BACKGROUND: Studies have confirmed that monosialotetrahexosyl ganglioside can induce human umbilical cord mesenchymal stem cells to differentiate into neuron-like cells, but little is reported on its optimal concentration. OBJECTIVE: To explore the optimal concentration of monosialotetrahexosyl ganglioside that induces human umbilical cord mesenchymal stem cells to differentiate into neuron-like cells in vitro. METHODS: Human umbilical cord mesenchymal stem cells were isolated by using collagenase digestion method, and after expansion, passage 3 cells were randomly allocated into five groups. When 70%-80% of cells were confluent, 50, 100, 150 and 200 mg/L monosialotetrahexosyl ganglioside induction solutions were added in corresponding experimental groups, while cells in the blank control group were cultured in the same volume of L-DMEM medium. Cell morphology was observed under inverted phase contrast microscope. Expression levels of microtubule-associated protein 2, neurofilament protein and glial fibrillary acidic protein were measured by using immunohistochemistry at 6 hours after induction. RESULTS AND CONCLUSION: Human umbilical cord mesenchymal stem cells were isolated successfully and sub-cultured stably. These cells could express surface markers of mesenchymal stem cells. Monosialotetrahexosyl ganglioside at the optimal concentration of 150 mg/L was confirmed to induce the neuron-like differentiation of human umbilical cord mesenchymal stem cells, and differentiated cells could express microtubule-associated protein 2 and neurofilament protein as neuron-specific markers.
Full text: 1 Index: WPRIM Language: Zh Journal: Chinese Journal of Tissue Engineering Research Year: 2018 Type: Article
Full text: 1 Index: WPRIM Language: Zh Journal: Chinese Journal of Tissue Engineering Research Year: 2018 Type: Article