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CLC number: R49

On-line Access: 2017-01-26

Received: 2016-03-09

Revision Accepted: 2016-07-13

Crosschecked: 2017-01-05

Cited: 1

Clicked: 2042

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Li-ning Su

http://orcid.org/0000-0001-8118-7601

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Journal of Zhejiang University SCIENCE B 2017 Vol.18 No.2 P.172-182

http://doi.org/10.1631/jzus.B1600109


Identification of neuron-related genes for cell therapy of neurological disorders by network analysis


Author(s):  Li-ning Su, Xiao-qing Song, Hui-ping Wei, Hai-feng Yin

Affiliation(s):  Department of Biology, Hebei North University, Zhangjiakou 075029, China

Corresponding email(s):   whp123456@sina.com

Key Words:  Neuronal differentiation, Bone mesenchymal stem cells (BMSCs), Protein-protein interaction network, Differentially expressed genes


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Li-ning Su, Xiao-qing Song, Hui-ping Wei, Hai-feng Yin. Identification of neuron-related genes for cell therapy of neurological disorders by network analysis[J]. Journal of Zhejiang University Science B, 2017, 18(2): 172-182.

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author="Li-ning Su, Xiao-qing Song, Hui-ping Wei, Hai-feng Yin",
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volume="18",
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publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.B1600109"
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A1 - Li-ning Su
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DOI - 10.1631/jzus.B1600109


Abstract: 
bone mesenchymal stem cells (BMSCs) differentiated into neurons have been widely proposed for use in cell therapy of many neurological disorders. It is therefore important to understand the molecular mechanisms underlying this differentiation. We screened differentially expressed genes between immature neural tissues and untreated BMSCs to identify the genes responsible for neuronal differentiation from BMSCs. GSE68243 gene microarray data of rat BMSCs and GSE18860 gene microarray data of rat neurons were received from the Gene Expression Omnibus database. Transcriptome Analysis Console software showed that 1248 genes were up-regulated and 1273 were down-regulated in neurons compared with BMSCs. Gene Ontology functional enrichment, protein-protein interaction networks, functional modules, and hub genes were analyzed using DAVID, STRING 10, BiNGO tool, and Network Analyzer software, revealing that nine hub genes, Nrcam, Sema3a, Mapk8, Dlg4, Slit1, Creb1, Ntrk2, Cntn2, and Pax6, may play a pivotal role in neuronal differentiation from BMSCs. Seven genes, Dcx, Nrcam, sema3a, Cntn2, Slit1, Ephb1, and Pax6, were shown to be hub nodes within the neuronal development network, while six genes, Fgf2, Tgfβ1, Vegfa, Serpine1, Il6, and Stat1, appeared to play an important role in suppressing neuronal differentiation. However, additional studies are required to confirm these results.

基于芯片数据的神经分化基因网络互作分析为神经系统疾病的细胞疗法提供基础

目的:通过筛选差异基因,获得控制骨髓间充质干细胞向神经细胞分化及神经发育的中心基因,为治疗神经系统疾病提供参考。
方法:从基因表达综合数据库(Gene Expression Omnibus database)中获得芯片数据,利用生物信息学软件筛选差异基因,并对差异基因进行GO功能富集、蛋白互作网络分析和中心基因分析。
结论:通过分析,初步推测NrcamSema3aMapk8Dlg4Slit1Creb1Ntrk2Cntn2Pax6等中心基因在调控骨髓间充质干细胞向神经细胞的分化中发挥重要作用;DcxNrcamSema3aCntn2Slit1Ephb1Pax6等中心基因在神经发育过程中发挥作用;Fgf2Tgfβ1VegfaSerpine1Il6Stat1等中心基因在抑制神经分化过程中发挥作用。

关键词:神经分化;骨髓间充质干细胞;蛋白质相互作用网络;差异基因

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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[40]List of electronic supplementary materials

[41]Table S1 Information of differentially expressed genes between neurons and BMSCs

[42]Table S2 Gene ontology enrichment analysis of biological process

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