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Computational identification of miRNAs that modulate the differentiation of mesenchymal stem cells to osteoblasts
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. T...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4860310/ https://www.ncbi.nlm.nih.gov/pubmed/27168985 http://dx.doi.org/10.7717/peerj.1976 |
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author | Seenprachawong, Kanokwan Nuchnoi, Pornlada Nantasenamat, Chanin Prachayasittikul, Virapong Supokawej, Aungkura |
author_facet | Seenprachawong, Kanokwan Nuchnoi, Pornlada Nantasenamat, Chanin Prachayasittikul, Virapong Supokawej, Aungkura |
author_sort | Seenprachawong, Kanokwan |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4860310 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-48603102016-05-10 Computational identification of miRNAs that modulate the differentiation of mesenchymal stem cells to osteoblasts Seenprachawong, Kanokwan Nuchnoi, Pornlada Nantasenamat, Chanin Prachayasittikul, Virapong Supokawej, Aungkura PeerJ Cell Biology 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. PeerJ Inc. 2016-04-26 /pmc/articles/PMC4860310/ /pubmed/27168985 http://dx.doi.org/10.7717/peerj.1976 Text en ©2016 Seenprachawong et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Cell Biology Seenprachawong, Kanokwan Nuchnoi, Pornlada Nantasenamat, Chanin Prachayasittikul, Virapong Supokawej, Aungkura Computational identification of miRNAs that modulate the differentiation of mesenchymal stem cells to osteoblasts |
title | Computational identification of miRNAs that modulate the differentiation of mesenchymal stem cells to osteoblasts |
title_full | Computational identification of miRNAs that modulate the differentiation of mesenchymal stem cells to osteoblasts |
title_fullStr | Computational identification of miRNAs that modulate the differentiation of mesenchymal stem cells to osteoblasts |
title_full_unstemmed | Computational identification of miRNAs that modulate the differentiation of mesenchymal stem cells to osteoblasts |
title_short | Computational identification of miRNAs that modulate the differentiation of mesenchymal stem cells to osteoblasts |
title_sort | computational identification of mirnas that modulate the differentiation of mesenchymal stem cells to osteoblasts |
topic | Cell Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4860310/ https://www.ncbi.nlm.nih.gov/pubmed/27168985 http://dx.doi.org/10.7717/peerj.1976 |
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