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Determination of absolute expression profiles using multiplexed miRNA analysis
Accurate measurement of miRNA expression is critical to understanding their role in gene expression as well as their application as disease biomarkers. Correct identification of changes in miRNA expression rests on reliable normalization to account for biological and technological variance between s...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5509254/ https://www.ncbi.nlm.nih.gov/pubmed/28704432 http://dx.doi.org/10.1371/journal.pone.0180988 |
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author | Song, Yunke Kilburn, Duncan Song, Jee Hoon Cheng, Yulan Saeui, Christopher T. Cheung, Douglas G. Croce, Carlo M. Yarema, Kevin J. Meltzer, Stephen J. Liu, Kelvin J. Wang, Tza-Huei |
author_facet | Song, Yunke Kilburn, Duncan Song, Jee Hoon Cheng, Yulan Saeui, Christopher T. Cheung, Douglas G. Croce, Carlo M. Yarema, Kevin J. Meltzer, Stephen J. Liu, Kelvin J. Wang, Tza-Huei |
author_sort | Song, Yunke |
collection | PubMed |
description | Accurate measurement of miRNA expression is critical to understanding their role in gene expression as well as their application as disease biomarkers. Correct identification of changes in miRNA expression rests on reliable normalization to account for biological and technological variance between samples. Ligo-miR is a multiplex assay designed to rapidly measure absolute miRNA copy numbers, thus reducing dependence on biological controls. It uses a simple 2-step ligation process to generate length coded products that can be quantified using a variety of DNA sizing methods. We demonstrate Ligo-miR’s ability to quantify miRNA expression down to 20 copies per cell sensitivity, accurately discriminate between closely related miRNA, and reliably measure differential changes as small as 1.2-fold. Then, benchmarking studies were performed to show the high correlation between Ligo-miR, microarray, and TaqMan qRT-PCR. Finally, Ligo-miR was used to determine copy number profiles in a number of breast, esophageal, and pancreatic cell lines and to demonstrate the utility of copy number analysis for providing layered insight into expression profile changes. |
format | Online Article Text |
id | pubmed-5509254 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-55092542017-08-07 Determination of absolute expression profiles using multiplexed miRNA analysis Song, Yunke Kilburn, Duncan Song, Jee Hoon Cheng, Yulan Saeui, Christopher T. Cheung, Douglas G. Croce, Carlo M. Yarema, Kevin J. Meltzer, Stephen J. Liu, Kelvin J. Wang, Tza-Huei PLoS One Research Article Accurate measurement of miRNA expression is critical to understanding their role in gene expression as well as their application as disease biomarkers. Correct identification of changes in miRNA expression rests on reliable normalization to account for biological and technological variance between samples. Ligo-miR is a multiplex assay designed to rapidly measure absolute miRNA copy numbers, thus reducing dependence on biological controls. It uses a simple 2-step ligation process to generate length coded products that can be quantified using a variety of DNA sizing methods. We demonstrate Ligo-miR’s ability to quantify miRNA expression down to 20 copies per cell sensitivity, accurately discriminate between closely related miRNA, and reliably measure differential changes as small as 1.2-fold. Then, benchmarking studies were performed to show the high correlation between Ligo-miR, microarray, and TaqMan qRT-PCR. Finally, Ligo-miR was used to determine copy number profiles in a number of breast, esophageal, and pancreatic cell lines and to demonstrate the utility of copy number analysis for providing layered insight into expression profile changes. Public Library of Science 2017-07-13 /pmc/articles/PMC5509254/ /pubmed/28704432 http://dx.doi.org/10.1371/journal.pone.0180988 Text en © 2017 Song 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, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Song, Yunke Kilburn, Duncan Song, Jee Hoon Cheng, Yulan Saeui, Christopher T. Cheung, Douglas G. Croce, Carlo M. Yarema, Kevin J. Meltzer, Stephen J. Liu, Kelvin J. Wang, Tza-Huei Determination of absolute expression profiles using multiplexed miRNA analysis |
title | Determination of absolute expression profiles using multiplexed miRNA analysis |
title_full | Determination of absolute expression profiles using multiplexed miRNA analysis |
title_fullStr | Determination of absolute expression profiles using multiplexed miRNA analysis |
title_full_unstemmed | Determination of absolute expression profiles using multiplexed miRNA analysis |
title_short | Determination of absolute expression profiles using multiplexed miRNA analysis |
title_sort | determination of absolute expression profiles using multiplexed mirna analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5509254/ https://www.ncbi.nlm.nih.gov/pubmed/28704432 http://dx.doi.org/10.1371/journal.pone.0180988 |
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