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Cancer Site-Specific Multiple microRNA Quantification by Droplet Digital PCR

Archival formalin-fixed paraffin-embedded (FFPE) tissues represent an extraordinary source of smallRNAs, including microRNAs (miRNAs). Contrary to other RNA molecules, miRNAs are stable, nuclease-resistant and quantifiable even in low quality samples. The accurate assessment of miRNA levels in archi...

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Autores principales: Laprovitera, Noemi, Grzes, Maria, Porcellini, Elisa, Ferracin, Manuela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6196277/
https://www.ncbi.nlm.nih.gov/pubmed/30374423
http://dx.doi.org/10.3389/fonc.2018.00447
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author Laprovitera, Noemi
Grzes, Maria
Porcellini, Elisa
Ferracin, Manuela
author_facet Laprovitera, Noemi
Grzes, Maria
Porcellini, Elisa
Ferracin, Manuela
author_sort Laprovitera, Noemi
collection PubMed
description Archival formalin-fixed paraffin-embedded (FFPE) tissues represent an extraordinary source of smallRNAs, including microRNAs (miRNAs). Contrary to other RNA molecules, miRNAs are stable, nuclease-resistant and quantifiable even in low quality samples. The accurate assessment of miRNA levels in archival samples is of great interest for many pathological conditions, including cancer. In human tumors, microRNA expression is type-specific and can be used as diagnostic, prognostic or response-to-treatment biomarker. In this study, we provide a method for multiple miRNA quantification in 96-well plates, using EvaGreen-based droplet digital PCR technology and miRCURY LNA miRNA assays. This approach allows the absolute quantification of a customizable panel of miRNAs at the same time and under identical experimental conditions, to be used for diagnostic or prognostic applications.
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spelling pubmed-61962772018-10-29 Cancer Site-Specific Multiple microRNA Quantification by Droplet Digital PCR Laprovitera, Noemi Grzes, Maria Porcellini, Elisa Ferracin, Manuela Front Oncol Oncology Archival formalin-fixed paraffin-embedded (FFPE) tissues represent an extraordinary source of smallRNAs, including microRNAs (miRNAs). Contrary to other RNA molecules, miRNAs are stable, nuclease-resistant and quantifiable even in low quality samples. The accurate assessment of miRNA levels in archival samples is of great interest for many pathological conditions, including cancer. In human tumors, microRNA expression is type-specific and can be used as diagnostic, prognostic or response-to-treatment biomarker. In this study, we provide a method for multiple miRNA quantification in 96-well plates, using EvaGreen-based droplet digital PCR technology and miRCURY LNA miRNA assays. This approach allows the absolute quantification of a customizable panel of miRNAs at the same time and under identical experimental conditions, to be used for diagnostic or prognostic applications. Frontiers Media S.A. 2018-10-15 /pmc/articles/PMC6196277/ /pubmed/30374423 http://dx.doi.org/10.3389/fonc.2018.00447 Text en Copyright © 2018 Laprovitera, Grzes, Porcellini and Ferracin. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Laprovitera, Noemi
Grzes, Maria
Porcellini, Elisa
Ferracin, Manuela
Cancer Site-Specific Multiple microRNA Quantification by Droplet Digital PCR
title Cancer Site-Specific Multiple microRNA Quantification by Droplet Digital PCR
title_full Cancer Site-Specific Multiple microRNA Quantification by Droplet Digital PCR
title_fullStr Cancer Site-Specific Multiple microRNA Quantification by Droplet Digital PCR
title_full_unstemmed Cancer Site-Specific Multiple microRNA Quantification by Droplet Digital PCR
title_short Cancer Site-Specific Multiple microRNA Quantification by Droplet Digital PCR
title_sort cancer site-specific multiple microrna quantification by droplet digital pcr
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6196277/
https://www.ncbi.nlm.nih.gov/pubmed/30374423
http://dx.doi.org/10.3389/fonc.2018.00447
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