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A comparison of Illumina and Ion Torrent sequencing platforms in the context of differential gene expression

BACKGROUND: Though Illumina has largely dominated the RNA-Seq field, the simultaneous availability of Ion Torrent has left scientists wondering which platform is most effective for differential gene expression (DGE) analysis. Previous investigations of this question have typically used reference sam...

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Autores principales: Lahens, Nicholas F., Ricciotti, Emanuela, Smirnova, Olga, Toorens, Erik, Kim, Eun Ji, Baruzzo, Giacomo, Hayer, Katharina E., Ganguly, Tapan, Schug, Jonathan, Grant, Gregory R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5553782/
https://www.ncbi.nlm.nih.gov/pubmed/28797240
http://dx.doi.org/10.1186/s12864-017-4011-0
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author Lahens, Nicholas F.
Ricciotti, Emanuela
Smirnova, Olga
Toorens, Erik
Kim, Eun Ji
Baruzzo, Giacomo
Hayer, Katharina E.
Ganguly, Tapan
Schug, Jonathan
Grant, Gregory R.
author_facet Lahens, Nicholas F.
Ricciotti, Emanuela
Smirnova, Olga
Toorens, Erik
Kim, Eun Ji
Baruzzo, Giacomo
Hayer, Katharina E.
Ganguly, Tapan
Schug, Jonathan
Grant, Gregory R.
author_sort Lahens, Nicholas F.
collection PubMed
description BACKGROUND: Though Illumina has largely dominated the RNA-Seq field, the simultaneous availability of Ion Torrent has left scientists wondering which platform is most effective for differential gene expression (DGE) analysis. Previous investigations of this question have typically used reference samples derived from cell lines and brain tissue, and do not involve biological variability. While these comparisons might inform studies of tissue-specific expression, marked by large-scale transcriptional differences, this is not the common use case. RESULTS: Here we employ a standard treatment/control experimental design, which enables us to evaluate these platforms in the context of the expression differences common in differential gene expression experiments. Specifically, we assessed the hepatic inflammatory response of mice by assaying liver RNA from control and IL-1β treated animals with both the Illumina HiSeq and the Ion Torrent Proton sequencing platforms. We found the greatest difference between the platforms at the level of read alignment, a moderate level of concordance at the level of DGE analysis, and nearly identical results at the level of differentially affected pathways. Interestingly, we also observed a strong interaction between sequencing platform and choice of aligner. By aligning both real and simulated Illumina and Ion Torrent data with the twelve most commonly-cited aligners in the literature, we observed that different aligner and platform combinations were better suited to probing different genomic features; for example, disentangling the source of expression in gene-pseudogene pairs. CONCLUSIONS: Taken together, our results indicate that while Illumina and Ion Torrent have similar capacities to detect changes in biology from a treatment/control experiment, these platforms may be tailored to interrogate different transcriptional phenomena through careful selection of alignment software. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-017-4011-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-55537822017-08-15 A comparison of Illumina and Ion Torrent sequencing platforms in the context of differential gene expression Lahens, Nicholas F. Ricciotti, Emanuela Smirnova, Olga Toorens, Erik Kim, Eun Ji Baruzzo, Giacomo Hayer, Katharina E. Ganguly, Tapan Schug, Jonathan Grant, Gregory R. BMC Genomics Research Article BACKGROUND: Though Illumina has largely dominated the RNA-Seq field, the simultaneous availability of Ion Torrent has left scientists wondering which platform is most effective for differential gene expression (DGE) analysis. Previous investigations of this question have typically used reference samples derived from cell lines and brain tissue, and do not involve biological variability. While these comparisons might inform studies of tissue-specific expression, marked by large-scale transcriptional differences, this is not the common use case. RESULTS: Here we employ a standard treatment/control experimental design, which enables us to evaluate these platforms in the context of the expression differences common in differential gene expression experiments. Specifically, we assessed the hepatic inflammatory response of mice by assaying liver RNA from control and IL-1β treated animals with both the Illumina HiSeq and the Ion Torrent Proton sequencing platforms. We found the greatest difference between the platforms at the level of read alignment, a moderate level of concordance at the level of DGE analysis, and nearly identical results at the level of differentially affected pathways. Interestingly, we also observed a strong interaction between sequencing platform and choice of aligner. By aligning both real and simulated Illumina and Ion Torrent data with the twelve most commonly-cited aligners in the literature, we observed that different aligner and platform combinations were better suited to probing different genomic features; for example, disentangling the source of expression in gene-pseudogene pairs. CONCLUSIONS: Taken together, our results indicate that while Illumina and Ion Torrent have similar capacities to detect changes in biology from a treatment/control experiment, these platforms may be tailored to interrogate different transcriptional phenomena through careful selection of alignment software. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-017-4011-0) contains supplementary material, which is available to authorized users. BioMed Central 2017-08-10 /pmc/articles/PMC5553782/ /pubmed/28797240 http://dx.doi.org/10.1186/s12864-017-4011-0 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 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 Research Article
Lahens, Nicholas F.
Ricciotti, Emanuela
Smirnova, Olga
Toorens, Erik
Kim, Eun Ji
Baruzzo, Giacomo
Hayer, Katharina E.
Ganguly, Tapan
Schug, Jonathan
Grant, Gregory R.
A comparison of Illumina and Ion Torrent sequencing platforms in the context of differential gene expression
title A comparison of Illumina and Ion Torrent sequencing platforms in the context of differential gene expression
title_full A comparison of Illumina and Ion Torrent sequencing platforms in the context of differential gene expression
title_fullStr A comparison of Illumina and Ion Torrent sequencing platforms in the context of differential gene expression
title_full_unstemmed A comparison of Illumina and Ion Torrent sequencing platforms in the context of differential gene expression
title_short A comparison of Illumina and Ion Torrent sequencing platforms in the context of differential gene expression
title_sort comparison of illumina and ion torrent sequencing platforms in the context of differential gene expression
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5553782/
https://www.ncbi.nlm.nih.gov/pubmed/28797240
http://dx.doi.org/10.1186/s12864-017-4011-0
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