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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Autores principales: Chia-Hsun Hsieh, Wei-Ming Chen, Yi-Shan Hsieh, Ya-Chun Fan, Pok Eric Yang, Shih-Ting Kang, Chun-Ta Liao
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Lenguaje:EN
Publicado: Nature Portfolio 2018
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Acceso en línea:https://doaj.org/article/af01652706e54c5caca177a1684e19c5
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spelling 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)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle 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
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