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Novel small RNA spike-in oligonucleotides enable absolute normalization of small RNA-Seq data

Normalization of high-throughput small RNA sequencing (sRNA-Seq) data is required to compare sRNA levels across different samples. Commonly used relative normalization approaches can cause erroneous conclusions due to fluctuating small RNA populations between tissues. We developed a set of sRNA spik...

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Detalles Bibliográficos
Autores principales: Lutzmayer, Stefan, Enugutti, Balaji, Nodine, Michael D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5517642/
https://www.ncbi.nlm.nih.gov/pubmed/28724941
http://dx.doi.org/10.1038/s41598-017-06174-3
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author Lutzmayer, Stefan
Enugutti, Balaji
Nodine, Michael D.
author_facet Lutzmayer, Stefan
Enugutti, Balaji
Nodine, Michael D.
author_sort Lutzmayer, Stefan
collection PubMed
description Normalization of high-throughput small RNA sequencing (sRNA-Seq) data is required to compare sRNA levels across different samples. Commonly used relative normalization approaches can cause erroneous conclusions due to fluctuating small RNA populations between tissues. We developed a set of sRNA spike-in oligonucleotides (sRNA spike-ins) that enable absolute normalization of sRNA-Seq data across independent experiments, as well as the genome-wide estimation of sRNA:mRNA stoichiometries when used together with mRNA spike-in oligonucleotides.
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spelling pubmed-55176422017-07-20 Novel small RNA spike-in oligonucleotides enable absolute normalization of small RNA-Seq data Lutzmayer, Stefan Enugutti, Balaji Nodine, Michael D. Sci Rep Article Normalization of high-throughput small RNA sequencing (sRNA-Seq) data is required to compare sRNA levels across different samples. Commonly used relative normalization approaches can cause erroneous conclusions due to fluctuating small RNA populations between tissues. We developed a set of sRNA spike-in oligonucleotides (sRNA spike-ins) that enable absolute normalization of sRNA-Seq data across independent experiments, as well as the genome-wide estimation of sRNA:mRNA stoichiometries when used together with mRNA spike-in oligonucleotides. Nature Publishing Group UK 2017-07-19 /pmc/articles/PMC5517642/ /pubmed/28724941 http://dx.doi.org/10.1038/s41598-017-06174-3 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Lutzmayer, Stefan
Enugutti, Balaji
Nodine, Michael D.
Novel small RNA spike-in oligonucleotides enable absolute normalization of small RNA-Seq data
title Novel small RNA spike-in oligonucleotides enable absolute normalization of small RNA-Seq data
title_full Novel small RNA spike-in oligonucleotides enable absolute normalization of small RNA-Seq data
title_fullStr Novel small RNA spike-in oligonucleotides enable absolute normalization of small RNA-Seq data
title_full_unstemmed Novel small RNA spike-in oligonucleotides enable absolute normalization of small RNA-Seq data
title_short Novel small RNA spike-in oligonucleotides enable absolute normalization of small RNA-Seq data
title_sort novel small rna spike-in oligonucleotides enable absolute normalization of small rna-seq data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5517642/
https://www.ncbi.nlm.nih.gov/pubmed/28724941
http://dx.doi.org/10.1038/s41598-017-06174-3
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