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A cross comparison of technologies for the detection of microRNAs in clinical FFPE samples of hepatoblastoma patients

Although formalin fixed paraffin embedded (FFPE) tissue is a major biological source in cancer research, it is challenging to work with due to macromolecular fragmentation and nucleic acid crosslinking. Therefore, it is important to characterise the quality of data that can be obtained from FFPE sam...

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Autores principales: Chatterjee, Aniruddha, Leichter, Anna L, Fan, Vicky, Tsai, Peter, Purcell, Rachel V, Sullivan, Michael J, Eccles, Michael R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4453922/
https://www.ncbi.nlm.nih.gov/pubmed/26039282
http://dx.doi.org/10.1038/srep10438
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author Chatterjee, Aniruddha
Leichter, Anna L
Fan, Vicky
Tsai, Peter
Purcell, Rachel V
Sullivan, Michael J
Eccles, Michael R
author_facet Chatterjee, Aniruddha
Leichter, Anna L
Fan, Vicky
Tsai, Peter
Purcell, Rachel V
Sullivan, Michael J
Eccles, Michael R
author_sort Chatterjee, Aniruddha
collection PubMed
description Although formalin fixed paraffin embedded (FFPE) tissue is a major biological source in cancer research, it is challenging to work with due to macromolecular fragmentation and nucleic acid crosslinking. Therefore, it is important to characterise the quality of data that can be obtained from FFPE samples. We have compared three independent platforms (next generation sequencing, microarray and NanoString) for profiling microRNAs (miRNAs) using clinical FFPE samples from hepatoblastoma (HB) patients. The number of detected miRNAs ranged from 228 to 345 (median=294) using the next generation sequencing platform, whereas 79 to 125 (median=112) miRNAs were identified using microarrays in three HB samples, including technical replicates. NanoString identified 299 to 372 miRNAs in two samples. Between the platforms, we observed high reproducibility and significant levels of shared detection. However, for commonly detected miRNAs, a strong correlation between platforms was not observed. Analysis of 10 additional HB samples with NanoString identified significantly overlapping miRNA expression profiles, and an alternative pattern was identified in a poorly differentiated HB with an aggressive phenotype. This investigation serves as a roadmap for future studies investigating miRNA expression in clinical FFPE samples, and as a guideline for the selection of an appropriate platform.
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spelling pubmed-44539222015-06-10 A cross comparison of technologies for the detection of microRNAs in clinical FFPE samples of hepatoblastoma patients Chatterjee, Aniruddha Leichter, Anna L Fan, Vicky Tsai, Peter Purcell, Rachel V Sullivan, Michael J Eccles, Michael R Sci Rep Article Although formalin fixed paraffin embedded (FFPE) tissue is a major biological source in cancer research, it is challenging to work with due to macromolecular fragmentation and nucleic acid crosslinking. Therefore, it is important to characterise the quality of data that can be obtained from FFPE samples. We have compared three independent platforms (next generation sequencing, microarray and NanoString) for profiling microRNAs (miRNAs) using clinical FFPE samples from hepatoblastoma (HB) patients. The number of detected miRNAs ranged from 228 to 345 (median=294) using the next generation sequencing platform, whereas 79 to 125 (median=112) miRNAs were identified using microarrays in three HB samples, including technical replicates. NanoString identified 299 to 372 miRNAs in two samples. Between the platforms, we observed high reproducibility and significant levels of shared detection. However, for commonly detected miRNAs, a strong correlation between platforms was not observed. Analysis of 10 additional HB samples with NanoString identified significantly overlapping miRNA expression profiles, and an alternative pattern was identified in a poorly differentiated HB with an aggressive phenotype. This investigation serves as a roadmap for future studies investigating miRNA expression in clinical FFPE samples, and as a guideline for the selection of an appropriate platform. Nature Publishing Group 2015-06-03 /pmc/articles/PMC4453922/ /pubmed/26039282 http://dx.doi.org/10.1038/srep10438 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Chatterjee, Aniruddha
Leichter, Anna L
Fan, Vicky
Tsai, Peter
Purcell, Rachel V
Sullivan, Michael J
Eccles, Michael R
A cross comparison of technologies for the detection of microRNAs in clinical FFPE samples of hepatoblastoma patients
title A cross comparison of technologies for the detection of microRNAs in clinical FFPE samples of hepatoblastoma patients
title_full A cross comparison of technologies for the detection of microRNAs in clinical FFPE samples of hepatoblastoma patients
title_fullStr A cross comparison of technologies for the detection of microRNAs in clinical FFPE samples of hepatoblastoma patients
title_full_unstemmed A cross comparison of technologies for the detection of microRNAs in clinical FFPE samples of hepatoblastoma patients
title_short A cross comparison of technologies for the detection of microRNAs in clinical FFPE samples of hepatoblastoma patients
title_sort cross comparison of technologies for the detection of micrornas in clinical ffpe samples of hepatoblastoma patients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4453922/
https://www.ncbi.nlm.nih.gov/pubmed/26039282
http://dx.doi.org/10.1038/srep10438
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