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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...
Autores principales: | , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2011
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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. |
format | Text |
id | pubmed-3046973 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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