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Isfahan University , zohreh.hojati.najafabadi@gmail.com
Abstract:   (532 Views)
Background: MicroRNAs are reported as important role in neural differentiation, but the complex mechanisms of neural differentiation is always a barrier to finding key of microRNAs in neural differentiation. Our hypothesis is high-throughput techniques with systems biology network could be to solve that complicated mechanisms. To this end, we attempt to candidate new microRNAs in neural differentiation mechanisms by high throughput and systems biology network approaches.
Methods: we utilize meta-analysis with five microarrays in both genes and microRNAs expression databases with R programming language. Then we are constructed protein-protein interaction (PPI) network from DEGs by GeneMania plug-in in Cystoscape environment. As well as, to found miR that are interaction with DEGs of neural differentiation we utilize two TargetScan and miRTarBase databases. The results of two miR database were compared with the results of DE-miR and finaly report some DE-miR that have interaction with DEGs in neural differentiation.
Results: our results showed that 443 DEGs and 148 DE-miR in neural differentiation process after meta-analysis of five databases. After that the 443 DEGs were analyzed with two TargetScan and miRTarBase microRNAs database and results showed 252 miR, so 252 miR were compared with 148 DE-miR and the results indicate only four miR 124, 29a, 383 and miR-380-3p to have in both list. As well as PPI network constructed with 443 DEGs and the results of GO indicated in four anterior posterior pattern specification, Neural tube development, Stem cells differentiation and Forebrain development pathways. PPI network of four pathways are extract and analyzed with four DE-miR candidate then two miR-383 and miR-380-3p are reported as candidate microRNAs to play a role in neural differentiation process.
Conclusion: Our results suggest that two miR-383 and miR-380-3p acts as a role in neural differentiation process.
Type of Study: Original | Subject: Cellular Sciences (Molecular Cells, Stem Cells)
Received: 2020/05/2 | Accepted: 2020/09/5

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