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Biomarker discovery: quantification of microRNAs and other small non-coding RNAs using next generation sequencing

BACKGROUND: Small ncRNAs (sncRNAs) offer great hope as biomarkers of disease and response to treatment. This has been highlighted in the context of several medical conditions such as cancer, liver disease, cardiovascular disease, and central nervous system disorders, among many others. Here we asses...

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Autores principales: Lopez, Juan Pablo, Diallo, Alpha, Cruceanu, Cristiana, Fiori, Laura M., Laboissiere, Sylvie, Guillet, Isabelle, Fontaine, Joelle, Ragoussis, Jiannis, Benes, Vladimir, Turecki, Gustavo, Ernst, Carl
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4487992/
https://www.ncbi.nlm.nih.gov/pubmed/26130076
http://dx.doi.org/10.1186/s12920-015-0109-x
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author Lopez, Juan Pablo
Diallo, Alpha
Cruceanu, Cristiana
Fiori, Laura M.
Laboissiere, Sylvie
Guillet, Isabelle
Fontaine, Joelle
Ragoussis, Jiannis
Benes, Vladimir
Turecki, Gustavo
Ernst, Carl
author_facet Lopez, Juan Pablo
Diallo, Alpha
Cruceanu, Cristiana
Fiori, Laura M.
Laboissiere, Sylvie
Guillet, Isabelle
Fontaine, Joelle
Ragoussis, Jiannis
Benes, Vladimir
Turecki, Gustavo
Ernst, Carl
author_sort Lopez, Juan Pablo
collection PubMed
description BACKGROUND: Small ncRNAs (sncRNAs) offer great hope as biomarkers of disease and response to treatment. This has been highlighted in the context of several medical conditions such as cancer, liver disease, cardiovascular disease, and central nervous system disorders, among many others. Here we assessed several steps involved in the development of an ncRNA biomarker discovery pipeline, ranging from sample preparation to bioinformatic processing of small RNA sequencing data. METHODS: A total of 45 biological samples were included in the present study. All libraries were prepared using the Illumina TruSeq Small RNA protocol and sequenced using the HiSeq2500 or MiSeq Illumina sequencers. Small RNA sequencing data was validated using qRT-PCR. At each stage, we evaluated the pros and cons of different techniques that may be suitable for different experimental designs. Evaluation methods included quality of data output in relation to hands-on laboratory time, cost, and efficiency of processing. RESULTS: Our results show that good quality sequencing libraries can be prepared from small amounts of total RNA and that varying degradation levels in the samples do not have a significant effect on the overall quantification of sncRNAs via NGS. In addition, we describe the strengths and limitations of three commercially available library preparation methods: (1) Novex TBE PAGE gel; (2) Pippin Prep automated gel system; and (3) AMPure XP beads. We describe our bioinformatics pipeline, provide recommendations for sequencing coverage, and describe in detail the expression and distribution of all sncRNAs in four human tissues: whole-blood, brain, heart and liver. CONCLUSIONS: Ultimately this study provides tools and outcome metrics that will aid researchers and clinicians in choosing an appropriate and effective high-throughput sequencing quantification method for various study designs, and overall generating valuable information that can contribute to our understanding of small ncRNAs as potential biomarkers and mediators of biological functions and disease. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12920-015-0109-x) contains supplementary material, which is available to authorized users.
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spelling pubmed-44879922015-07-02 Biomarker discovery: quantification of microRNAs and other small non-coding RNAs using next generation sequencing Lopez, Juan Pablo Diallo, Alpha Cruceanu, Cristiana Fiori, Laura M. Laboissiere, Sylvie Guillet, Isabelle Fontaine, Joelle Ragoussis, Jiannis Benes, Vladimir Turecki, Gustavo Ernst, Carl BMC Med Genomics Technical Advance BACKGROUND: Small ncRNAs (sncRNAs) offer great hope as biomarkers of disease and response to treatment. This has been highlighted in the context of several medical conditions such as cancer, liver disease, cardiovascular disease, and central nervous system disorders, among many others. Here we assessed several steps involved in the development of an ncRNA biomarker discovery pipeline, ranging from sample preparation to bioinformatic processing of small RNA sequencing data. METHODS: A total of 45 biological samples were included in the present study. All libraries were prepared using the Illumina TruSeq Small RNA protocol and sequenced using the HiSeq2500 or MiSeq Illumina sequencers. Small RNA sequencing data was validated using qRT-PCR. At each stage, we evaluated the pros and cons of different techniques that may be suitable for different experimental designs. Evaluation methods included quality of data output in relation to hands-on laboratory time, cost, and efficiency of processing. RESULTS: Our results show that good quality sequencing libraries can be prepared from small amounts of total RNA and that varying degradation levels in the samples do not have a significant effect on the overall quantification of sncRNAs via NGS. In addition, we describe the strengths and limitations of three commercially available library preparation methods: (1) Novex TBE PAGE gel; (2) Pippin Prep automated gel system; and (3) AMPure XP beads. We describe our bioinformatics pipeline, provide recommendations for sequencing coverage, and describe in detail the expression and distribution of all sncRNAs in four human tissues: whole-blood, brain, heart and liver. CONCLUSIONS: Ultimately this study provides tools and outcome metrics that will aid researchers and clinicians in choosing an appropriate and effective high-throughput sequencing quantification method for various study designs, and overall generating valuable information that can contribute to our understanding of small ncRNAs as potential biomarkers and mediators of biological functions and disease. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12920-015-0109-x) contains supplementary material, which is available to authorized users. BioMed Central 2015-07-01 /pmc/articles/PMC4487992/ /pubmed/26130076 http://dx.doi.org/10.1186/s12920-015-0109-x Text en © Lopez et al. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Technical Advance
Lopez, Juan Pablo
Diallo, Alpha
Cruceanu, Cristiana
Fiori, Laura M.
Laboissiere, Sylvie
Guillet, Isabelle
Fontaine, Joelle
Ragoussis, Jiannis
Benes, Vladimir
Turecki, Gustavo
Ernst, Carl
Biomarker discovery: quantification of microRNAs and other small non-coding RNAs using next generation sequencing
title Biomarker discovery: quantification of microRNAs and other small non-coding RNAs using next generation sequencing
title_full Biomarker discovery: quantification of microRNAs and other small non-coding RNAs using next generation sequencing
title_fullStr Biomarker discovery: quantification of microRNAs and other small non-coding RNAs using next generation sequencing
title_full_unstemmed Biomarker discovery: quantification of microRNAs and other small non-coding RNAs using next generation sequencing
title_short Biomarker discovery: quantification of microRNAs and other small non-coding RNAs using next generation sequencing
title_sort biomarker discovery: quantification of micrornas and other small non-coding rnas using next generation sequencing
topic Technical Advance
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4487992/
https://www.ncbi.nlm.nih.gov/pubmed/26130076
http://dx.doi.org/10.1186/s12920-015-0109-x
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