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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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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. |
format | Online Article Text |
id | pubmed-4453922 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
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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