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Please use this identifier to cite or link to this item: http://repository.li.mahidol.ac.th/dspace/handle/123456789/2130
Title: Computational identification of miRNAs that modulate the differentiation of mesenchymal stem cells to osteoblasts
Authors: Kanokwan Seenprachawong
Pornlada Nuchnoi
Chanin Nantasenamat
Aungkura Supokawej
Mahidol University. Faculty of Medical Technology. Center of Data Mining and Biomedical Informatics
Mahidol University. Faculty of Medical Technology. Department of Clinical Microscopy
Keywords: Open Access article
Issue Date: Apr-2016
Citation: Peer J. Vol.4, 2016, e1976
Abstract: MicroRNAs (miRNAs) are small endogenous noncoding RNAs that play an instrumental role in post-transcriptional modulation of gene expression. Genes related to osteogenesis (i.e. RUNX2, COL1A1 and OSX) is important in controlling the differentiation of mesenchymal stem cells (MSCs) to bone tissues. The regulated expression level of miRNAs is critically important for the differentiation of MSCs to preosteoblasts. The understanding of miRNA regulation in osteogenesis could be applied for future applications in bone defects. Therefore, this study aims to shed light on the mechanistic pathway underlying osteogenesis by predicting miRNAs that may modulate this pathway. This study investigates RUNX2, which is a major transcription factor for osteogenesis that drives MSCs into preosteoblasts. Three different prediction tools were employed for identifying miRNAs related to osteogenesis using the 3’UTR of RUNX2 as the target gene. Of the 1,023 miRNAs, 70 miRNAs were found by at least two of the tools. Candidate miRNAs were then selected based on their free energy values, followed by assessing the probability of target accessibility. The results showed that miRNAs 23b, 23a, 30b, 143, 203, 217, and 221 could regulate the RUNX2 gene during the differentiation of MSCs to preosteoblasts.
URI: http://repository.li.mahidol.ac.th/dspace/handle/123456789/2130
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