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High-Throughput Functional MicroRNAs Profiling by Recombinant AAV-Based MicroRNA Sensor Arrays
BACKGROUND: microRNAs (miRNAs) are small and non-coding RNAs which play critical roles in physiological and pathological processes. A number of methods have been established to detect and quantify miRNA expression. However, method for high-throughput miRNA function detection is still lacking. PRINCI...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3252342/ https://www.ncbi.nlm.nih.gov/pubmed/22242174 http://dx.doi.org/10.1371/journal.pone.0029551 |
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author | Tian, Wenhong Dong, Xiaoyan Liu, Xuerong Wang, Gang Dong, Zheyue Shen, Wei Zheng, Gang Lu, Jianxin Chen, Jinzhong Wang, Yue Wu, Zhijian Wu, Xiaobing |
author_facet | Tian, Wenhong Dong, Xiaoyan Liu, Xuerong Wang, Gang Dong, Zheyue Shen, Wei Zheng, Gang Lu, Jianxin Chen, Jinzhong Wang, Yue Wu, Zhijian Wu, Xiaobing |
author_sort | Tian, Wenhong |
collection | PubMed |
description | BACKGROUND: microRNAs (miRNAs) are small and non-coding RNAs which play critical roles in physiological and pathological processes. A number of methods have been established to detect and quantify miRNA expression. However, method for high-throughput miRNA function detection is still lacking. PRINCIPAL FINDINGS: We describe an adeno-associated virus (AAV) vector-based microRNA (miRNA) sensor (Asensor) array for high-throughput functional miRNA profiling. Each Asensor contains a Gaussia luciferase (Gluc) and a firefly luciferase (Fluc) expression cassette to sense functional miRNA and to serve as an internal control respectively. Using this array, we acquired functional profiles of 115 miRNAs for 12 cell lines and found “functional miRNA signatures” for several specific cell lines. The activities of specific miRNAs including the let-7 family, miR-17-92 cluster, miR-221, and miR-222 in HEK 293 cells were compared with their expression levels determined by quantitative reverse transcriptase polymerase chain reaction (QRT-PCR). We also demonstrate two other practical applications of the array, including a comparison of the miRNA activity between HEK293 and HEK293T cells and the ability to monitor miRNA activity changes in K562 cells treated with 12-O-tetradecanoylphorbol-13-acetate (TPA). CONCLUSIONS/SIGNIFICANCE: Our approach has potential applications in the identification of cell types, the characterization of biological and pathological processes, and the evaluation of responses to interventions. |
format | Online Article Text |
id | pubmed-3252342 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-32523422012-01-12 High-Throughput Functional MicroRNAs Profiling by Recombinant AAV-Based MicroRNA Sensor Arrays Tian, Wenhong Dong, Xiaoyan Liu, Xuerong Wang, Gang Dong, Zheyue Shen, Wei Zheng, Gang Lu, Jianxin Chen, Jinzhong Wang, Yue Wu, Zhijian Wu, Xiaobing PLoS One Research Article BACKGROUND: microRNAs (miRNAs) are small and non-coding RNAs which play critical roles in physiological and pathological processes. A number of methods have been established to detect and quantify miRNA expression. However, method for high-throughput miRNA function detection is still lacking. PRINCIPAL FINDINGS: We describe an adeno-associated virus (AAV) vector-based microRNA (miRNA) sensor (Asensor) array for high-throughput functional miRNA profiling. Each Asensor contains a Gaussia luciferase (Gluc) and a firefly luciferase (Fluc) expression cassette to sense functional miRNA and to serve as an internal control respectively. Using this array, we acquired functional profiles of 115 miRNAs for 12 cell lines and found “functional miRNA signatures” for several specific cell lines. The activities of specific miRNAs including the let-7 family, miR-17-92 cluster, miR-221, and miR-222 in HEK 293 cells were compared with their expression levels determined by quantitative reverse transcriptase polymerase chain reaction (QRT-PCR). We also demonstrate two other practical applications of the array, including a comparison of the miRNA activity between HEK293 and HEK293T cells and the ability to monitor miRNA activity changes in K562 cells treated with 12-O-tetradecanoylphorbol-13-acetate (TPA). CONCLUSIONS/SIGNIFICANCE: Our approach has potential applications in the identification of cell types, the characterization of biological and pathological processes, and the evaluation of responses to interventions. Public Library of Science 2012-01-05 /pmc/articles/PMC3252342/ /pubmed/22242174 http://dx.doi.org/10.1371/journal.pone.0029551 Text en Tian 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Tian, Wenhong Dong, Xiaoyan Liu, Xuerong Wang, Gang Dong, Zheyue Shen, Wei Zheng, Gang Lu, Jianxin Chen, Jinzhong Wang, Yue Wu, Zhijian Wu, Xiaobing High-Throughput Functional MicroRNAs Profiling by Recombinant AAV-Based MicroRNA Sensor Arrays |
title | High-Throughput Functional MicroRNAs Profiling by Recombinant AAV-Based MicroRNA Sensor Arrays |
title_full | High-Throughput Functional MicroRNAs Profiling by Recombinant AAV-Based MicroRNA Sensor Arrays |
title_fullStr | High-Throughput Functional MicroRNAs Profiling by Recombinant AAV-Based MicroRNA Sensor Arrays |
title_full_unstemmed | High-Throughput Functional MicroRNAs Profiling by Recombinant AAV-Based MicroRNA Sensor Arrays |
title_short | High-Throughput Functional MicroRNAs Profiling by Recombinant AAV-Based MicroRNA Sensor Arrays |
title_sort | high-throughput functional micrornas profiling by recombinant aav-based microrna sensor arrays |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3252342/ https://www.ncbi.nlm.nih.gov/pubmed/22242174 http://dx.doi.org/10.1371/journal.pone.0029551 |
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