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A Novel Multi-Gene Detection Platform for the Analysis of miRNA Expression
The study of miRNAs and their roles as non-invasive biomarkers has been intensely conducted in cancer diseases over the past decade. Various platforms, ranging from conventional qPCRs to Next Generation Sequencers (NGS), have been widely used to analyze miRNA expression. Here we introduced a novel p...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6048151/ https://www.ncbi.nlm.nih.gov/pubmed/30013095 http://dx.doi.org/10.1038/s41598-018-29146-7 |
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author | Hsieh, Chia-Hsun Chen, Wei-Ming Hsieh, Yi-Shan Fan, Ya-Chun Yang, Pok Eric Kang, Shih-Ting Liao, Chun-Ta |
author_facet | Hsieh, Chia-Hsun Chen, Wei-Ming Hsieh, Yi-Shan Fan, Ya-Chun Yang, Pok Eric Kang, Shih-Ting Liao, Chun-Ta |
author_sort | Hsieh, Chia-Hsun |
collection | PubMed |
description | The study of miRNAs and their roles as non-invasive biomarkers has been intensely conducted in cancer diseases over the past decade. Various platforms, ranging from conventional qPCRs to Next Generation Sequencers (NGS), have been widely used to analyze miRNA expression. Here we introduced a novel platform, PanelChip™ Analysis System, which provides a sensitive solution for the analysis of miRNA levels in blood. After conducting miRQC analysis, the system’s analytical performance compared favorably against similar nanoscale qPCR-based array technologies. Because PanelChip™ requires only a minimal amount of miRNA for analysis, we used it to screen for potential diagnostic biomarkers in the plasma of patients with oral cavity squamous cell carcinoma (OSCC). Combining the platform with a machine learning algorithm, we were able to discover miRNA expression patterns capable of separating healthy subjects from patients with OSCC. |
format | Online Article Text |
id | pubmed-6048151 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-60481512018-07-19 A Novel Multi-Gene Detection Platform for the Analysis of miRNA Expression Hsieh, Chia-Hsun Chen, Wei-Ming Hsieh, Yi-Shan Fan, Ya-Chun Yang, Pok Eric Kang, Shih-Ting Liao, Chun-Ta Sci Rep Article The study of miRNAs and their roles as non-invasive biomarkers has been intensely conducted in cancer diseases over the past decade. Various platforms, ranging from conventional qPCRs to Next Generation Sequencers (NGS), have been widely used to analyze miRNA expression. Here we introduced a novel platform, PanelChip™ Analysis System, which provides a sensitive solution for the analysis of miRNA levels in blood. After conducting miRQC analysis, the system’s analytical performance compared favorably against similar nanoscale qPCR-based array technologies. Because PanelChip™ requires only a minimal amount of miRNA for analysis, we used it to screen for potential diagnostic biomarkers in the plasma of patients with oral cavity squamous cell carcinoma (OSCC). Combining the platform with a machine learning algorithm, we were able to discover miRNA expression patterns capable of separating healthy subjects from patients with OSCC. Nature Publishing Group UK 2018-07-16 /pmc/articles/PMC6048151/ /pubmed/30013095 http://dx.doi.org/10.1038/s41598-018-29146-7 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Hsieh, Chia-Hsun Chen, Wei-Ming Hsieh, Yi-Shan Fan, Ya-Chun Yang, Pok Eric Kang, Shih-Ting Liao, Chun-Ta A Novel Multi-Gene Detection Platform for the Analysis of miRNA Expression |
title | A Novel Multi-Gene Detection Platform for the Analysis of miRNA Expression |
title_full | A Novel Multi-Gene Detection Platform for the Analysis of miRNA Expression |
title_fullStr | A Novel Multi-Gene Detection Platform for the Analysis of miRNA Expression |
title_full_unstemmed | A Novel Multi-Gene Detection Platform for the Analysis of miRNA Expression |
title_short | A Novel Multi-Gene Detection Platform for the Analysis of miRNA Expression |
title_sort | novel multi-gene detection platform for the analysis of mirna expression |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6048151/ https://www.ncbi.nlm.nih.gov/pubmed/30013095 http://dx.doi.org/10.1038/s41598-018-29146-7 |
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