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A programmable method for massively parallel targeted sequencing
We have developed a targeted resequencing approach referred to as Oligonucleotide-Selective Sequencing. In this study, we report a series of significant improvements and novel applications of this method whereby the surface of a sequencing flow cell is modified in situ to capture specific genomic re...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4041455/ https://www.ncbi.nlm.nih.gov/pubmed/24782526 http://dx.doi.org/10.1093/nar/gku282 |
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author | Hopmans, Erik S. Natsoulis, Georges Bell, John M. Grimes, Susan M. Sieh, Weiva Ji, Hanlee P. |
author_facet | Hopmans, Erik S. Natsoulis, Georges Bell, John M. Grimes, Susan M. Sieh, Weiva Ji, Hanlee P. |
author_sort | Hopmans, Erik S. |
collection | PubMed |
description | We have developed a targeted resequencing approach referred to as Oligonucleotide-Selective Sequencing. In this study, we report a series of significant improvements and novel applications of this method whereby the surface of a sequencing flow cell is modified in situ to capture specific genomic regions of interest from a sample and then sequenced. These improvements include a fully automated targeted sequencing platform through the use of a standard Illumina cBot fluidics station. Targeting optimization increased the yield of total on-target sequencing data 2-fold compared to the previous iteration, while simultaneously increasing the percentage of reads that could be mapped to the human genome. The described assays cover up to 1421 genes with a total coverage of 5.5 Megabases (Mb). We demonstrate a 10-fold abundance uniformity of greater than 90% in 1 log distance from the median and a targeting rate of up to 95%. We also sequenced continuous genomic loci up to 1.5 Mb while simultaneously genotyping SNPs and genes. Variants with low minor allele fraction were sensitively detected at levels of 5%. Finally, we determined the exact breakpoint sequence of cancer rearrangements. Overall, this approach has high performance for selective sequencing of genome targets, configuration flexibility and variant calling accuracy. |
format | Online Article Text |
id | pubmed-4041455 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-40414552014-06-11 A programmable method for massively parallel targeted sequencing Hopmans, Erik S. Natsoulis, Georges Bell, John M. Grimes, Susan M. Sieh, Weiva Ji, Hanlee P. Nucleic Acids Res Methods Online We have developed a targeted resequencing approach referred to as Oligonucleotide-Selective Sequencing. In this study, we report a series of significant improvements and novel applications of this method whereby the surface of a sequencing flow cell is modified in situ to capture specific genomic regions of interest from a sample and then sequenced. These improvements include a fully automated targeted sequencing platform through the use of a standard Illumina cBot fluidics station. Targeting optimization increased the yield of total on-target sequencing data 2-fold compared to the previous iteration, while simultaneously increasing the percentage of reads that could be mapped to the human genome. The described assays cover up to 1421 genes with a total coverage of 5.5 Megabases (Mb). We demonstrate a 10-fold abundance uniformity of greater than 90% in 1 log distance from the median and a targeting rate of up to 95%. We also sequenced continuous genomic loci up to 1.5 Mb while simultaneously genotyping SNPs and genes. Variants with low minor allele fraction were sensitively detected at levels of 5%. Finally, we determined the exact breakpoint sequence of cancer rearrangements. Overall, this approach has high performance for selective sequencing of genome targets, configuration flexibility and variant calling accuracy. Oxford University Press 2014-06-01 2014-04-29 /pmc/articles/PMC4041455/ /pubmed/24782526 http://dx.doi.org/10.1093/nar/gku282 Text en © The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methods Online Hopmans, Erik S. Natsoulis, Georges Bell, John M. Grimes, Susan M. Sieh, Weiva Ji, Hanlee P. A programmable method for massively parallel targeted sequencing |
title | A programmable method for massively parallel targeted sequencing |
title_full | A programmable method for massively parallel targeted sequencing |
title_fullStr | A programmable method for massively parallel targeted sequencing |
title_full_unstemmed | A programmable method for massively parallel targeted sequencing |
title_short | A programmable method for massively parallel targeted sequencing |
title_sort | programmable method for massively parallel targeted sequencing |
topic | Methods Online |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4041455/ https://www.ncbi.nlm.nih.gov/pubmed/24782526 http://dx.doi.org/10.1093/nar/gku282 |
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