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Evaluating whole transcriptome amplification for gene profiling experiments using RNA-Seq

BACKGROUND: RNA-Seq has enabled high-throughput gene expression profiling to provide insight into the functional link between genotype and phenotype. Low quantities of starting RNA can be a severe hindrance for studies that aim to utilize RNA-Seq. To mitigate this bottleneck, whole transcriptome amp...

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Autores principales: Faherty, Sheena L, Campbell, C Ryan, Larsen, Peter A, Yoder, Anne D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4520150/
https://www.ncbi.nlm.nih.gov/pubmed/26223446
http://dx.doi.org/10.1186/s12896-015-0155-7
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author Faherty, Sheena L
Campbell, C Ryan
Larsen, Peter A
Yoder, Anne D
author_facet Faherty, Sheena L
Campbell, C Ryan
Larsen, Peter A
Yoder, Anne D
author_sort Faherty, Sheena L
collection PubMed
description BACKGROUND: RNA-Seq has enabled high-throughput gene expression profiling to provide insight into the functional link between genotype and phenotype. Low quantities of starting RNA can be a severe hindrance for studies that aim to utilize RNA-Seq. To mitigate this bottleneck, whole transcriptome amplification (WTA) technologies have been developed to generate sufficient sequencing targets from minute amounts of RNA. Successful WTA requires accurate replication of transcript abundance without the loss or distortion of specific mRNAs. Here, we test the efficacy of NuGEN’s Ovation RNA-Seq V2 system, which uses linear isothermal amplification with a unique chimeric primer for amplification, using white adipose tissue from standard laboratory rats (Rattus norvegicus). Our goal was to investigate potential biological artifacts introduced through WTA approaches by establishing comparisons between matched raw and amplified RNA libraries derived from biological replicates. RESULTS: We found that 93% of expressed genes were identical between all unamplified versus matched amplified comparisons, also finding that gene density is similar across all comparisons. Our sequencing experiment and downstream bioinformatic analyses using the Tuxedo analysis pipeline resulted in the assembly of 25,543 high-quality transcripts. Libraries constructed from raw RNA and WTA samples averaged 15,298 and 15,253 expressed genes, respectively. Although significant differentially expressed genes (P < 0.05) were identified in all matched samples, each of these represents less than 0.15% of all shared genes for each comparison. CONCLUSIONS: Transcriptome amplification is efficient at maintaining relative transcript frequencies with no significant bias when using this NuGEN linear isothermal amplification kit under ideal laboratory conditions as presented in this study. This methodology has broad applications, from clinical and diagnostic, to field-based studies when sample acquisition, or sample preservation, methods prove challenging. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12896-015-0155-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-45201502015-07-31 Evaluating whole transcriptome amplification for gene profiling experiments using RNA-Seq Faherty, Sheena L Campbell, C Ryan Larsen, Peter A Yoder, Anne D BMC Biotechnol Methodology Article BACKGROUND: RNA-Seq has enabled high-throughput gene expression profiling to provide insight into the functional link between genotype and phenotype. Low quantities of starting RNA can be a severe hindrance for studies that aim to utilize RNA-Seq. To mitigate this bottleneck, whole transcriptome amplification (WTA) technologies have been developed to generate sufficient sequencing targets from minute amounts of RNA. Successful WTA requires accurate replication of transcript abundance without the loss or distortion of specific mRNAs. Here, we test the efficacy of NuGEN’s Ovation RNA-Seq V2 system, which uses linear isothermal amplification with a unique chimeric primer for amplification, using white adipose tissue from standard laboratory rats (Rattus norvegicus). Our goal was to investigate potential biological artifacts introduced through WTA approaches by establishing comparisons between matched raw and amplified RNA libraries derived from biological replicates. RESULTS: We found that 93% of expressed genes were identical between all unamplified versus matched amplified comparisons, also finding that gene density is similar across all comparisons. Our sequencing experiment and downstream bioinformatic analyses using the Tuxedo analysis pipeline resulted in the assembly of 25,543 high-quality transcripts. Libraries constructed from raw RNA and WTA samples averaged 15,298 and 15,253 expressed genes, respectively. Although significant differentially expressed genes (P < 0.05) were identified in all matched samples, each of these represents less than 0.15% of all shared genes for each comparison. CONCLUSIONS: Transcriptome amplification is efficient at maintaining relative transcript frequencies with no significant bias when using this NuGEN linear isothermal amplification kit under ideal laboratory conditions as presented in this study. This methodology has broad applications, from clinical and diagnostic, to field-based studies when sample acquisition, or sample preservation, methods prove challenging. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12896-015-0155-7) contains supplementary material, which is available to authorized users. BioMed Central 2015-07-30 /pmc/articles/PMC4520150/ /pubmed/26223446 http://dx.doi.org/10.1186/s12896-015-0155-7 Text en © Faherty 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 Methodology Article
Faherty, Sheena L
Campbell, C Ryan
Larsen, Peter A
Yoder, Anne D
Evaluating whole transcriptome amplification for gene profiling experiments using RNA-Seq
title Evaluating whole transcriptome amplification for gene profiling experiments using RNA-Seq
title_full Evaluating whole transcriptome amplification for gene profiling experiments using RNA-Seq
title_fullStr Evaluating whole transcriptome amplification for gene profiling experiments using RNA-Seq
title_full_unstemmed Evaluating whole transcriptome amplification for gene profiling experiments using RNA-Seq
title_short Evaluating whole transcriptome amplification for gene profiling experiments using RNA-Seq
title_sort evaluating whole transcriptome amplification for gene profiling experiments using rna-seq
topic Methodology Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4520150/
https://www.ncbi.nlm.nih.gov/pubmed/26223446
http://dx.doi.org/10.1186/s12896-015-0155-7
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