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A Comparison of Single Molecule and Amplification Based Sequencing of Cancer Transcriptomes

The second wave of next generation sequencing technologies, referred to as single-molecule sequencing (SMS), carries the promise of profiling samples directly without employing polymerase chain reaction steps used by amplification-based sequencing (AS) methods. To examine the merits of both technolo...

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Autores principales: Sam, Lee T., Lipson, Doron, Raz, Tal, Cao, Xuhong, Thompson, John, Milos, Patrice M., Robinson, Dan, Chinnaiyan, Arul M., Kumar-Sinha, Chandan, Maher, Christopher A.
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3046973/
https://www.ncbi.nlm.nih.gov/pubmed/21390249
http://dx.doi.org/10.1371/journal.pone.0017305
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author Sam, Lee T.
Lipson, Doron
Raz, Tal
Cao, Xuhong
Thompson, John
Milos, Patrice M.
Robinson, Dan
Chinnaiyan, Arul M.
Kumar-Sinha, Chandan
Maher, Christopher A.
author_facet Sam, Lee T.
Lipson, Doron
Raz, Tal
Cao, Xuhong
Thompson, John
Milos, Patrice M.
Robinson, Dan
Chinnaiyan, Arul M.
Kumar-Sinha, Chandan
Maher, Christopher A.
author_sort Sam, Lee T.
collection PubMed
description The second wave of next generation sequencing technologies, referred to as single-molecule sequencing (SMS), carries the promise of profiling samples directly without employing polymerase chain reaction steps used by amplification-based sequencing (AS) methods. To examine the merits of both technologies, we examine mRNA sequencing results from single-molecule and amplification-based sequencing in a set of human cancer cell lines and tissues. We observe a characteristic coverage bias towards high abundance transcripts in amplification-based sequencing. A larger fraction of AS reads cover highly expressed genes, such as those associated with translational processes and housekeeping genes, resulting in relatively lower coverage of genes at low and mid-level abundance. In contrast, the coverage of high abundance transcripts plateaus off using SMS. Consequently, SMS is able to sequence lower- abundance transcripts more thoroughly, including some that are undetected by AS methods; however, these include many more mapping artifacts. A better understanding of the technical and analytical factors introducing platform specific biases in high throughput transcriptome sequencing applications will be critical in cross platform meta-analytic studies.
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spelling pubmed-30469732011-03-09 A Comparison of Single Molecule and Amplification Based Sequencing of Cancer Transcriptomes Sam, Lee T. Lipson, Doron Raz, Tal Cao, Xuhong Thompson, John Milos, Patrice M. Robinson, Dan Chinnaiyan, Arul M. Kumar-Sinha, Chandan Maher, Christopher A. PLoS One Research Article The second wave of next generation sequencing technologies, referred to as single-molecule sequencing (SMS), carries the promise of profiling samples directly without employing polymerase chain reaction steps used by amplification-based sequencing (AS) methods. To examine the merits of both technologies, we examine mRNA sequencing results from single-molecule and amplification-based sequencing in a set of human cancer cell lines and tissues. We observe a characteristic coverage bias towards high abundance transcripts in amplification-based sequencing. A larger fraction of AS reads cover highly expressed genes, such as those associated with translational processes and housekeeping genes, resulting in relatively lower coverage of genes at low and mid-level abundance. In contrast, the coverage of high abundance transcripts plateaus off using SMS. Consequently, SMS is able to sequence lower- abundance transcripts more thoroughly, including some that are undetected by AS methods; however, these include many more mapping artifacts. A better understanding of the technical and analytical factors introducing platform specific biases in high throughput transcriptome sequencing applications will be critical in cross platform meta-analytic studies. Public Library of Science 2011-03-01 /pmc/articles/PMC3046973/ /pubmed/21390249 http://dx.doi.org/10.1371/journal.pone.0017305 Text en Sam et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Sam, Lee T.
Lipson, Doron
Raz, Tal
Cao, Xuhong
Thompson, John
Milos, Patrice M.
Robinson, Dan
Chinnaiyan, Arul M.
Kumar-Sinha, Chandan
Maher, Christopher A.
A Comparison of Single Molecule and Amplification Based Sequencing of Cancer Transcriptomes
title A Comparison of Single Molecule and Amplification Based Sequencing of Cancer Transcriptomes
title_full A Comparison of Single Molecule and Amplification Based Sequencing of Cancer Transcriptomes
title_fullStr A Comparison of Single Molecule and Amplification Based Sequencing of Cancer Transcriptomes
title_full_unstemmed A Comparison of Single Molecule and Amplification Based Sequencing of Cancer Transcriptomes
title_short A Comparison of Single Molecule and Amplification Based Sequencing of Cancer Transcriptomes
title_sort comparison of single molecule and amplification based sequencing of cancer transcriptomes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3046973/
https://www.ncbi.nlm.nih.gov/pubmed/21390249
http://dx.doi.org/10.1371/journal.pone.0017305
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