Literature DB >> 22892720

A systems biology approach to identify the signalling network regulated by Rho-GDI-γ during neural stem cell differentiation.

Jiao Wang1, Fuyan Hu, Hua Cheng, Xing-Ming Zhao, Tieqiao Wen.   

Abstract

Understanding the molecular mechanism that underlies the differentiation of neural stem cells (NSCs) is vital to develop regenerative medicines for neurological disorders. In our previous work, Rho-GDI-γ was found to be able to prompt neuronal differentiation when it was down regulated. However, it is unclear how Rho-GDI-γ regulates this differentiation process. Therefore, a novel systems biology approach is presented here to identify putative signalling pathways regulated by Rho-GDI-γ during NSC differentiation, and these pathways can provide insights into the NSC differentiation mechanisms. In particular, our proposed approach combines the predictive power of computational biology and molecular experiments. With different biological experiments, the genes in the computationally identified signalling network were validated to be indeed regulated by Rho-GDI-γ during the differentiation of NSCs. In particular, one randomly selected pathway involving Vcp, Mapk8, Ywhae and Ywhah was experimentally verified to be regulated by Rho-GDI-γ. These promising results demonstrate the effectiveness of our proposed systems biology approach, indicating the potential predictive power of integrating computational and experimental approaches.

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Year:  2012        PMID: 22892720     DOI: 10.1039/c2mb25147g

Source DB:  PubMed          Journal:  Mol Biosyst        ISSN: 1742-2051


  2 in total

Review 1.  Neural stem and progenitor cells in health and disease.

Authors:  Ian Ladran; Ngoc Tran; Aaron Topol; Kristen J Brennand
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2013-09-20

2.  A biosystems approach to identify the molecular signaling mechanisms of TMEM30A during tumor migration.

Authors:  Jiao Wang; Qian Wang; Dongfang Lu; Fangfang Zhou; Dong Wang; Ruili Feng; Kai Wang; Robert Molday; Jiang Xie; Tieqiao Wen
Journal:  PLoS One       Date:  2017-06-22       Impact factor: 3.240

  2 in total

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