Optimization of extraction of circulating RNAs from plasma--enabling small RNA sequencing.

There are several protocols and kits for the extraction of circulating RNAs from plasma with a following quantification of specific genes via RT-qPCR. Due to the marginal amount of cell-free RNA in plasma samples, the total RNA yield is insufficient to perform Next-Generation Sequencing (NGS), the s...

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Autores principales: Melanie Spornraft, Benedikt Kirchner, Bettina Haase, Vladimir Benes, Michael W Pfaffl, Irmgard Riedmaier
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Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2014
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Acceso en línea:https://doaj.org/article/5272204a5ba445689dc74329bdfed01a
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spelling oai:doaj.org-article:5272204a5ba445689dc74329bdfed01a2021-11-25T06:00:17ZOptimization of extraction of circulating RNAs from plasma--enabling small RNA sequencing.1932-620310.1371/journal.pone.0107259https://doaj.org/article/5272204a5ba445689dc74329bdfed01a2014-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0107259https://doaj.org/toc/1932-6203There are several protocols and kits for the extraction of circulating RNAs from plasma with a following quantification of specific genes via RT-qPCR. Due to the marginal amount of cell-free RNA in plasma samples, the total RNA yield is insufficient to perform Next-Generation Sequencing (NGS), the state-of-the-art technology in massive parallel sequencing that enables a comprehensive characterization of the whole transcriptome. Screening the transcriptome for biomarker signatures accelerates progress in biomarker profiling for molecular diagnostics, early disease detection or food safety. Therefore, the aim was to optimize a method that enables the extraction of sufficient amounts of total RNA from bovine plasma to generate good-quality small RNA Sequencing (small RNA-Seq) data. An increased volume of plasma (9 ml) was processed using the Qiagen miRNeasy Serum/Plasma Kit in combination with the QIAvac24 Plus system, a vacuum manifold that enables handling of high volumes during RNA isolation. 35 ng of total RNA were passed on to cDNA library preparation followed by small RNA high-throughput sequencing analysis on the Illumina HiSeq2000 platform. Raw sequencing reads were processed by a data analysis pipeline using different free software solutions. Seq-data was trimmed, quality checked, gradually selected for miRNAs/piRNAs and aligned to small RNA reference annotation indexes. Mapping to human reference indexes resulted in 4.8±2.8% of mature miRNAs and 1.4±0.8% of piRNAs and of 5.0±2.9% of mature miRNAs for bos taurus.Melanie SpornraftBenedikt KirchnerBettina HaaseVladimir BenesMichael W PfafflIrmgard RiedmaierPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 9, Iss 9, p e107259 (2014)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Melanie Spornraft
Benedikt Kirchner
Bettina Haase
Vladimir Benes
Michael W Pfaffl
Irmgard Riedmaier
Optimization of extraction of circulating RNAs from plasma--enabling small RNA sequencing.
description There are several protocols and kits for the extraction of circulating RNAs from plasma with a following quantification of specific genes via RT-qPCR. Due to the marginal amount of cell-free RNA in plasma samples, the total RNA yield is insufficient to perform Next-Generation Sequencing (NGS), the state-of-the-art technology in massive parallel sequencing that enables a comprehensive characterization of the whole transcriptome. Screening the transcriptome for biomarker signatures accelerates progress in biomarker profiling for molecular diagnostics, early disease detection or food safety. Therefore, the aim was to optimize a method that enables the extraction of sufficient amounts of total RNA from bovine plasma to generate good-quality small RNA Sequencing (small RNA-Seq) data. An increased volume of plasma (9 ml) was processed using the Qiagen miRNeasy Serum/Plasma Kit in combination with the QIAvac24 Plus system, a vacuum manifold that enables handling of high volumes during RNA isolation. 35 ng of total RNA were passed on to cDNA library preparation followed by small RNA high-throughput sequencing analysis on the Illumina HiSeq2000 platform. Raw sequencing reads were processed by a data analysis pipeline using different free software solutions. Seq-data was trimmed, quality checked, gradually selected for miRNAs/piRNAs and aligned to small RNA reference annotation indexes. Mapping to human reference indexes resulted in 4.8±2.8% of mature miRNAs and 1.4±0.8% of piRNAs and of 5.0±2.9% of mature miRNAs for bos taurus.
format article
author Melanie Spornraft
Benedikt Kirchner
Bettina Haase
Vladimir Benes
Michael W Pfaffl
Irmgard Riedmaier
author_facet Melanie Spornraft
Benedikt Kirchner
Bettina Haase
Vladimir Benes
Michael W Pfaffl
Irmgard Riedmaier
author_sort Melanie Spornraft
title Optimization of extraction of circulating RNAs from plasma--enabling small RNA sequencing.
title_short Optimization of extraction of circulating RNAs from plasma--enabling small RNA sequencing.
title_full Optimization of extraction of circulating RNAs from plasma--enabling small RNA sequencing.
title_fullStr Optimization of extraction of circulating RNAs from plasma--enabling small RNA sequencing.
title_full_unstemmed Optimization of extraction of circulating RNAs from plasma--enabling small RNA sequencing.
title_sort optimization of extraction of circulating rnas from plasma--enabling small rna sequencing.
publisher Public Library of Science (PLoS)
publishDate 2014
url https://doaj.org/article/5272204a5ba445689dc74329bdfed01a
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