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Deep whole-genome sequencing of 3 cancer cell lines on 2 sequencing platforms
To test the performance of a new sequencing platform, develop an updated somatic calling pipeline and establish a reference for future benchmarking experiments, we performed whole-genome sequencing of 3 common cancer cell lines (COLO-829, HCC-1143 and HCC-1187) along with their matched normal cell l...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6911065/ https://www.ncbi.nlm.nih.gov/pubmed/31836783 http://dx.doi.org/10.1038/s41598-019-55636-3 |
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author | Arora, Kanika Shah, Minita Johnson, Molly Sanghvi, Rashesh Shelton, Jennifer Nagulapalli, Kshithija Oschwald, Dayna M. Zody, Michael C. Germer, Soren Jobanputra, Vaidehi Carter, Jade Robine, Nicolas |
author_facet | Arora, Kanika Shah, Minita Johnson, Molly Sanghvi, Rashesh Shelton, Jennifer Nagulapalli, Kshithija Oschwald, Dayna M. Zody, Michael C. Germer, Soren Jobanputra, Vaidehi Carter, Jade Robine, Nicolas |
author_sort | Arora, Kanika |
collection | PubMed |
description | To test the performance of a new sequencing platform, develop an updated somatic calling pipeline and establish a reference for future benchmarking experiments, we performed whole-genome sequencing of 3 common cancer cell lines (COLO-829, HCC-1143 and HCC-1187) along with their matched normal cell lines to great sequencing depths (up to 278x coverage) on both Illumina HiSeqX and NovaSeq sequencing instruments. Somatic calling was generally consistent between the two platforms despite minor differences at the read level. We designed and implemented a novel pipeline for the analysis of tumor-normal samples, using multiple variant callers. We show that coupled with a high-confidence filtering strategy, the use of combination of tools improves the accuracy of somatic variant calling. We also demonstrate the utility of the dataset by creating an artificial purity ladder to evaluate the somatic pipeline and benchmark methods for estimating purity and ploidy from tumor-normal pairs. The data and results of the pipeline are made accessible to the cancer genomics community. |
format | Online Article Text |
id | pubmed-6911065 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-69110652019-12-16 Deep whole-genome sequencing of 3 cancer cell lines on 2 sequencing platforms Arora, Kanika Shah, Minita Johnson, Molly Sanghvi, Rashesh Shelton, Jennifer Nagulapalli, Kshithija Oschwald, Dayna M. Zody, Michael C. Germer, Soren Jobanputra, Vaidehi Carter, Jade Robine, Nicolas Sci Rep Article To test the performance of a new sequencing platform, develop an updated somatic calling pipeline and establish a reference for future benchmarking experiments, we performed whole-genome sequencing of 3 common cancer cell lines (COLO-829, HCC-1143 and HCC-1187) along with their matched normal cell lines to great sequencing depths (up to 278x coverage) on both Illumina HiSeqX and NovaSeq sequencing instruments. Somatic calling was generally consistent between the two platforms despite minor differences at the read level. We designed and implemented a novel pipeline for the analysis of tumor-normal samples, using multiple variant callers. We show that coupled with a high-confidence filtering strategy, the use of combination of tools improves the accuracy of somatic variant calling. We also demonstrate the utility of the dataset by creating an artificial purity ladder to evaluate the somatic pipeline and benchmark methods for estimating purity and ploidy from tumor-normal pairs. The data and results of the pipeline are made accessible to the cancer genomics community. Nature Publishing Group UK 2019-12-13 /pmc/articles/PMC6911065/ /pubmed/31836783 http://dx.doi.org/10.1038/s41598-019-55636-3 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Arora, Kanika Shah, Minita Johnson, Molly Sanghvi, Rashesh Shelton, Jennifer Nagulapalli, Kshithija Oschwald, Dayna M. Zody, Michael C. Germer, Soren Jobanputra, Vaidehi Carter, Jade Robine, Nicolas Deep whole-genome sequencing of 3 cancer cell lines on 2 sequencing platforms |
title | Deep whole-genome sequencing of 3 cancer cell lines on 2 sequencing platforms |
title_full | Deep whole-genome sequencing of 3 cancer cell lines on 2 sequencing platforms |
title_fullStr | Deep whole-genome sequencing of 3 cancer cell lines on 2 sequencing platforms |
title_full_unstemmed | Deep whole-genome sequencing of 3 cancer cell lines on 2 sequencing platforms |
title_short | Deep whole-genome sequencing of 3 cancer cell lines on 2 sequencing platforms |
title_sort | deep whole-genome sequencing of 3 cancer cell lines on 2 sequencing platforms |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6911065/ https://www.ncbi.nlm.nih.gov/pubmed/31836783 http://dx.doi.org/10.1038/s41598-019-55636-3 |
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