A Novel Multi-Gene Detection Platform for the Analysis of miRNA Expression
Abstract 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...
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Nature Portfolio
2018
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oai:doaj.org-article:af01652706e54c5caca177a1684e19c52021-12-02T16:08:25ZA Novel Multi-Gene Detection Platform for the Analysis of miRNA Expression10.1038/s41598-018-29146-72045-2322https://doaj.org/article/af01652706e54c5caca177a1684e19c52018-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-29146-7https://doaj.org/toc/2045-2322Abstract 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.Chia-Hsun HsiehWei-Ming ChenYi-Shan HsiehYa-Chun FanPok Eric YangShih-Ting KangChun-Ta LiaoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-9 (2018) |
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Medicine R Science Q Chia-Hsun Hsieh Wei-Ming Chen Yi-Shan Hsieh Ya-Chun Fan Pok Eric Yang Shih-Ting Kang Chun-Ta Liao A Novel Multi-Gene Detection Platform for the Analysis of miRNA Expression |
description |
Abstract 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 |
article |
author |
Chia-Hsun Hsieh Wei-Ming Chen Yi-Shan Hsieh Ya-Chun Fan Pok Eric Yang Shih-Ting Kang Chun-Ta Liao |
author_facet |
Chia-Hsun Hsieh Wei-Ming Chen Yi-Shan Hsieh Ya-Chun Fan Pok Eric Yang Shih-Ting Kang Chun-Ta Liao |
author_sort |
Chia-Hsun Hsieh |
title |
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_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_sort |
novel multi-gene detection platform for the analysis of mirna expression |
publisher |
Nature Portfolio |
publishDate |
2018 |
url |
https://doaj.org/article/af01652706e54c5caca177a1684e19c5 |
work_keys_str_mv |
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