Key genes in neural stem cells differentiation of mouse embryonic stem cells: a comprehensive bioinformatics analysis

Backgrounds: Generating neural stem cells (NSCs) from mouse embryonic stem cells (mESCs)are essential aims for regenerative medicine; although, the differentiation mechanisms andprocesses are not largely studied.Materials and Methods: We used comprehensive bioinformatics analyses to identify the cofunctionand regulated genes related to the early differentiation of ES-like cells to neural (ELN).Undifferentiated mESCs from ۱۴-day differentiated C۵۷BL/۶ cells were isolated and collected.Cells from this group were subjected to RNA-seq and microarray analysis by whichdifferentially expressed genes (DEGs) was used.Results: ClusterProfiler Package performed gene enrichment analysis in Rstudio; a proteinproteininteraction (PPI) network was constructed by search tool to retrieve interacting genessuch as STRING, Interaction and NCBI databases visualized in Cytoscape. We identified Hubgenes with the MCODE algorithm in Cytoscape. In this bioinformatics study, we utilized ۱۰,۵۶۹DEGs and ۸ time-series profiles enriched in functional and biological processes of self-renewal,cell cycle, differentiation, and neurogenesis. The MCODE algorithm analysis identified sevenintegrated modules that could play an essential role in the ELN process, including mitosis/cellcycle, ubiquitination, splicing, and differentiation.Conclusion: The study identified potential genes, integrated processes, and functional modulesassociated with the neurogenesis differentiation of mESCs.

کلیدواژه ها:

Neural stem cells ، Differentiation ، RNA-seq ، Microarray ، Neurogenesis