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Systematic validation of predicted microRNAs for cyclin D1
BACKGROUND: MicroRNAs are the endogenous small non-coding RNA molecules capable of silencing protein coding genes at the posttranscriptional level. Based on computer-aided predictions, a single microRNA could have over a hundred of targets. On the other hand, a single protein-coding gene could be ta...
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2009
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2728105/ https://www.ncbi.nlm.nih.gov/pubmed/19538740 http://dx.doi.org/10.1186/1471-2407-9-194 |
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author | Jiang, Qiong Feng, Ming-Guang Mo, Yin-Yuan |
author_facet | Jiang, Qiong Feng, Ming-Guang Mo, Yin-Yuan |
author_sort | Jiang, Qiong |
collection | PubMed |
description | BACKGROUND: MicroRNAs are the endogenous small non-coding RNA molecules capable of silencing protein coding genes at the posttranscriptional level. Based on computer-aided predictions, a single microRNA could have over a hundred of targets. On the other hand, a single protein-coding gene could be targeted by many potential microRNAs. However, only a relatively small number of these predicted microRNA/mRNA interactions are experimentally validated, and no systematic validation has been carried out using a reporter system. METHODS: In this study, we used luciferease reporter assays to validate microRNAs that can silence cyclin D1 (CCND1) because CCND1 is a well known proto-oncogene implicated in a variety of types of cancers. We chose miRanda http://www.microRNA.org as a primary prediction method. We then cloned 51 of 58 predicted microRNA precursors into pCDH-CMV-MCS-EF1-copGFP and tested for their effect on the luciferase reporter carrying the 3'-untranslated region (UTR) of CCND1 gene. RESULTS: Real-time PCR revealed the 45 of 51 cloned microRNA precursors expressed a relatively high level of the exogenous microRNAs which were used in our validation experiments. By an arbitrary cutoff of 35% reduction, we identified 7 microRNAs that were able to suppress Luc-CCND1-UTR activity. Among them, 4 of them were previously validated targets and the rest 3 microRNAs were validated to be positive in this study. Of interest, we found that miR-503 not only suppressed the luciferase activity, but also suppressed the endogenous CCND1 both at protein and mRNA levels. Furthermore, we showed that miR-503 was able to reduce S phase cell populations and caused cell growth inhibition, suggesting that miR-503 may be a putative tumor suppressor. CONCLUSION: This study provides a more comprehensive picture of microRNA/CCND1 interactions and it further demonstrates the importance of experimental target validation. |
format | Text |
id | pubmed-2728105 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-27281052009-08-18 Systematic validation of predicted microRNAs for cyclin D1 Jiang, Qiong Feng, Ming-Guang Mo, Yin-Yuan BMC Cancer Research Article BACKGROUND: MicroRNAs are the endogenous small non-coding RNA molecules capable of silencing protein coding genes at the posttranscriptional level. Based on computer-aided predictions, a single microRNA could have over a hundred of targets. On the other hand, a single protein-coding gene could be targeted by many potential microRNAs. However, only a relatively small number of these predicted microRNA/mRNA interactions are experimentally validated, and no systematic validation has been carried out using a reporter system. METHODS: In this study, we used luciferease reporter assays to validate microRNAs that can silence cyclin D1 (CCND1) because CCND1 is a well known proto-oncogene implicated in a variety of types of cancers. We chose miRanda http://www.microRNA.org as a primary prediction method. We then cloned 51 of 58 predicted microRNA precursors into pCDH-CMV-MCS-EF1-copGFP and tested for their effect on the luciferase reporter carrying the 3'-untranslated region (UTR) of CCND1 gene. RESULTS: Real-time PCR revealed the 45 of 51 cloned microRNA precursors expressed a relatively high level of the exogenous microRNAs which were used in our validation experiments. By an arbitrary cutoff of 35% reduction, we identified 7 microRNAs that were able to suppress Luc-CCND1-UTR activity. Among them, 4 of them were previously validated targets and the rest 3 microRNAs were validated to be positive in this study. Of interest, we found that miR-503 not only suppressed the luciferase activity, but also suppressed the endogenous CCND1 both at protein and mRNA levels. Furthermore, we showed that miR-503 was able to reduce S phase cell populations and caused cell growth inhibition, suggesting that miR-503 may be a putative tumor suppressor. CONCLUSION: This study provides a more comprehensive picture of microRNA/CCND1 interactions and it further demonstrates the importance of experimental target validation. BioMed Central 2009-06-18 /pmc/articles/PMC2728105/ /pubmed/19538740 http://dx.doi.org/10.1186/1471-2407-9-194 Text en Copyright ©2009 Jiang et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Jiang, Qiong Feng, Ming-Guang Mo, Yin-Yuan Systematic validation of predicted microRNAs for cyclin D1 |
title | Systematic validation of predicted microRNAs for cyclin D1 |
title_full | Systematic validation of predicted microRNAs for cyclin D1 |
title_fullStr | Systematic validation of predicted microRNAs for cyclin D1 |
title_full_unstemmed | Systematic validation of predicted microRNAs for cyclin D1 |
title_short | Systematic validation of predicted microRNAs for cyclin D1 |
title_sort | systematic validation of predicted micrornas for cyclin d1 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2728105/ https://www.ncbi.nlm.nih.gov/pubmed/19538740 http://dx.doi.org/10.1186/1471-2407-9-194 |
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