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Label-free high-throughput microRNA expression profiling from total RNA
MicroRNAs (miRNAs) are key biological regulators and promising disease markers whose detection technologies hold great potentials in advancing fundamental research and medical diagnostics. Currently, miRNAs in biological samples have to be labeled before being applied to most high-throughput assays....
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3239174/ https://www.ncbi.nlm.nih.gov/pubmed/21976734 http://dx.doi.org/10.1093/nar/gkr774 |
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author | Duan, Demin Zheng, Ke-xiao Shen, Ye Cao, Rong Jiang, Li Lu, Zhuoxuan Yan, Xiyun Li, Jiong |
author_facet | Duan, Demin Zheng, Ke-xiao Shen, Ye Cao, Rong Jiang, Li Lu, Zhuoxuan Yan, Xiyun Li, Jiong |
author_sort | Duan, Demin |
collection | PubMed |
description | MicroRNAs (miRNAs) are key biological regulators and promising disease markers whose detection technologies hold great potentials in advancing fundamental research and medical diagnostics. Currently, miRNAs in biological samples have to be labeled before being applied to most high-throughput assays. Although effective, these labeling-based approaches are usually labor-intensive, time-consuming and liable to bias. Besides, the cross-hybridization of co-existing miRNA precursors (pre-miRNAs) is not adequately addressed in most assays that use total RNA as input. Here, we present a hybridization-triggered fluorescence strategy for label-free, microarray-based high-throughput miRNA expression profiling. The total RNA is directly applied to the microarray with a short fluorophore-linked oligonucleotide Universal Tag which can be selectively captured by the target-bound probes via base-stacking effects. This Stacking-Hybridized Universal Tag (SHUT) assay has been successfully used to analyze as little as 100 ng total RNA from human tissues, and found to be highly specific to homogenous miRNAs. Superb discrimination toward single-base mismatch at the 5′ or 3′ end has been demonstrated. Importantly, the pre-miRNAs generated negligible signals, validating the direct use of total RNA. |
format | Online Article Text |
id | pubmed-3239174 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-32391742011-12-16 Label-free high-throughput microRNA expression profiling from total RNA Duan, Demin Zheng, Ke-xiao Shen, Ye Cao, Rong Jiang, Li Lu, Zhuoxuan Yan, Xiyun Li, Jiong Nucleic Acids Res Methods Online MicroRNAs (miRNAs) are key biological regulators and promising disease markers whose detection technologies hold great potentials in advancing fundamental research and medical diagnostics. Currently, miRNAs in biological samples have to be labeled before being applied to most high-throughput assays. Although effective, these labeling-based approaches are usually labor-intensive, time-consuming and liable to bias. Besides, the cross-hybridization of co-existing miRNA precursors (pre-miRNAs) is not adequately addressed in most assays that use total RNA as input. Here, we present a hybridization-triggered fluorescence strategy for label-free, microarray-based high-throughput miRNA expression profiling. The total RNA is directly applied to the microarray with a short fluorophore-linked oligonucleotide Universal Tag which can be selectively captured by the target-bound probes via base-stacking effects. This Stacking-Hybridized Universal Tag (SHUT) assay has been successfully used to analyze as little as 100 ng total RNA from human tissues, and found to be highly specific to homogenous miRNAs. Superb discrimination toward single-base mismatch at the 5′ or 3′ end has been demonstrated. Importantly, the pre-miRNAs generated negligible signals, validating the direct use of total RNA. Oxford University Press 2011-12 2011-10-05 /pmc/articles/PMC3239174/ /pubmed/21976734 http://dx.doi.org/10.1093/nar/gkr774 Text en © The Author(s) 2011. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methods Online Duan, Demin Zheng, Ke-xiao Shen, Ye Cao, Rong Jiang, Li Lu, Zhuoxuan Yan, Xiyun Li, Jiong Label-free high-throughput microRNA expression profiling from total RNA |
title | Label-free high-throughput microRNA expression profiling from total RNA |
title_full | Label-free high-throughput microRNA expression profiling from total RNA |
title_fullStr | Label-free high-throughput microRNA expression profiling from total RNA |
title_full_unstemmed | Label-free high-throughput microRNA expression profiling from total RNA |
title_short | Label-free high-throughput microRNA expression profiling from total RNA |
title_sort | label-free high-throughput microrna expression profiling from total rna |
topic | Methods Online |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3239174/ https://www.ncbi.nlm.nih.gov/pubmed/21976734 http://dx.doi.org/10.1093/nar/gkr774 |
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